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Zheng X, Chen Y, Lin SQ, Liu T, Liu CA, Ruan GT, Ge YZ, Xie HL, Song MM, Shi JY, Wang ZW, Yang M, Liu XY, Zhang HY, Zhang Q, Deng L, Shi HP. The relationship between different fatty acids intake and the depressive symptoms: A population-based study. J Affect Disord 2024; 357:68-76. [PMID: 38615842 DOI: 10.1016/j.jad.2024.04.051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2023] [Revised: 03/17/2024] [Accepted: 04/11/2024] [Indexed: 04/16/2024]
Abstract
BACKGROUND Depression is a common psychological disorder worldwide, affecting mental and physical health. Previous studies have explored the benefits of polyunsaturated fatty acids (PUFAs) intake in depressive symptoms; however, few studies have focused on the association between all types of fatty acids intake and depressive symptoms. Therefore, we explored the relationship between the intake of different fatty acids intake and the risk of depressive symptoms. METHODS The study was based on the data from the 2005-2018 National Health and Nutrition Examination Survey (NHANES), a large US-based database. We used a nutrient residual model and multi-nutrient density model for the analysis. We calculated the nutrient density and residual in men and women separately, and the fatty acids intake was divided into quartiles based on the sex distribution. The relationship between the depressive symptoms and the intake of different fatty acids was examined using logistic regression; furthermore, we explored the relationships separately in men and women. RESULTS The intake of monounsaturated fatty acids (MUFAs) and PUFAs, particularly n-3 and n-6 PUFAs, were associated with reduced odds ratios for depressive symptoms. The inverse relationship between the intake of MUFAs, PUFAs, n-3, and n-6 PUFAs and depressive symptoms was stronger in women. The inverse relationship between total fatty acid (TFAs) intake and depressive symptoms existed only in a single model. In contrast, saturated fatty acid (SFAs) intake was not related to depressive symptoms. CONCLUSION Consuming MUFAs and PUFAs can counteract the depressive symptoms, especially in women.
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Affiliation(s)
- Xin Zheng
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China; Laboratory for Clinical Medicine, Capital Medical University, Beijing, China
| | - Yue Chen
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China; Laboratory for Clinical Medicine, Capital Medical University, Beijing, China; The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, 325000, China
| | - Shi-Qi Lin
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China; Laboratory for Clinical Medicine, Capital Medical University, Beijing, China
| | - Tong Liu
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China; Laboratory for Clinical Medicine, Capital Medical University, Beijing, China
| | - Chen-An Liu
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China; Laboratory for Clinical Medicine, Capital Medical University, Beijing, China
| | - Guo-Tian Ruan
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China; Laboratory for Clinical Medicine, Capital Medical University, Beijing, China
| | - Yi-Zhong Ge
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China; Laboratory for Clinical Medicine, Capital Medical University, Beijing, China; The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, 325000, China
| | - Hai-Lun Xie
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China; Laboratory for Clinical Medicine, Capital Medical University, Beijing, China
| | - Meng-Meng Song
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China; Laboratory for Clinical Medicine, Capital Medical University, Beijing, China
| | - Jin-Yu Shi
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China; Laboratory for Clinical Medicine, Capital Medical University, Beijing, China
| | - Zi-Wen Wang
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China; Laboratory for Clinical Medicine, Capital Medical University, Beijing, China
| | - Ming Yang
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China; Laboratory for Clinical Medicine, Capital Medical University, Beijing, China
| | - Xiao-Yue Liu
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China; Laboratory for Clinical Medicine, Capital Medical University, Beijing, China
| | - He-Yang Zhang
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China; Laboratory for Clinical Medicine, Capital Medical University, Beijing, China
| | - Qi Zhang
- Department of Colorectal Surgery, Cancer Hospital of University of Chinese Academy of Sciences, Zhejiang, Cancer Hospital, Hangzhou, 310022, China
| | - Li Deng
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China; Laboratory for Clinical Medicine, Capital Medical University, Beijing, China
| | - Han-Ping Shi
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China; Laboratory for Clinical Medicine, Capital Medical University, Beijing, China; The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, 325000, China.
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Zhang KL, Zhou MM, Wang KH, Weng M, Zhou FX, Cui JW, Li W, Ma H, Guo ZQ, Li SY, Chen JQ, Wu XH, Zhao QC, Li JP, Xu HX, Shi HP, Song CH. Integrated neutrophil-to-lymphocyte ratio and handgrip strength better predict survival in patients with cancer cachexia. Nutrition 2024; 122:112399. [PMID: 38493542 DOI: 10.1016/j.nut.2024.112399] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Revised: 02/13/2024] [Accepted: 02/15/2024] [Indexed: 03/19/2024]
Abstract
OBJECTIVES Systemic inflammation and skeletal muscle strength play crucial roles in the development and progression of cancer cachexia. In this study we aimed to evaluate the combined prognostic value of neutrophil-to-lymphocyte ratio (NLR) and handgrip strength (HGS) for survival in patients with cancer cachexia. METHODS This multicenter cohort study involved 1826 patients with cancer cachexia. The NLR-HGS (NH) index was defined as the ratio of neutrophil-to-lymphocyte ratio to handgrip strength. Harrell's C index and receiver operating characteristic (ROC) curve analysis were used to assess the prognosis of NH. Kaplan-Meier analysis and Cox regression models were used to evaluate the association of NH with all-cause mortality. RESULTS Based on the optimal stratification, 380 women (NH > 0.14) and 249 men (NH > 0.19) were classified as having high NH. NH has shown greater predictive value compared to other indicators in predicting the survival of patients with cancer cachexia according to the 1-, 3-, and 5-y ROC analysis and Harrell's C index calculation. Multivariate survival analysis showed that higher NH was independently associated with an increased risk of death (hazard ratio = 1.654, 95% confidence interval = 1.389-1.969). CONCLUSION This study demonstrates that the NH index, in combination with NLR and HGS, is an effective predictor of the prognosis of patients with cancer cachexia. It can offer effective prognosis stratification and guidance for their treatment.
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Affiliation(s)
- Kai-Lun Zhang
- Department of Epidemiology and Statistics, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Ming-Ming Zhou
- Department of Epidemiology and Statistics, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Kun-Hua Wang
- Department of Gastrointestinal Surgery, Institute of Gastroenterology, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Min Weng
- Department of Clinical Nutrition, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Fu-Xiang Zhou
- Department of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Jiu-Wei Cui
- Cancer Center of the First Hospital of Jilin University, Changchun, China
| | - Wei Li
- Cancer Center of the First Hospital of Jilin University, Changchun, China
| | - Hu Ma
- Department of Oncology, The Second Affiliated Hospital of Zunyi Medical University, Zunyi, China
| | - Zeng-Qing Guo
- Department of Medical Oncology, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, Fuzhou, China
| | - Su-Yi Li
- Department of Nutrition and Metabolism of Oncology, Affiliated Provincial Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Jun-Qiang Chen
- Department of Gastrointestinal Surgery, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Xiang-Hua Wu
- Department of Gastrointestinal Surgery, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Qing-Chuan Zhao
- Department of Digestive Diseases, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Ji-Peng Li
- Department of Digestive Diseases, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Hong-Xia Xu
- Department of Nutrition, Daping Hospital & Research Institute of Surgery, Third Military Medical University, Chongqing, China
| | - Han-Ping Shi
- Departments of Gastrointestinal Surgery and Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Chun-Hua Song
- Department of Epidemiology and Statistics, College of Public Health, Zhengzhou University, Zhengzhou, China; Henan Key Laboratory of Tumor Epidemiology, Zhengzhou University, Zhengzhou, China; State Key Laboratory of Esophageal Cancer Prevention & Treatment, Zhengzhou University, Zhengzhou, China.
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Zhuang CL, Wu HF, Jiang HJ, Zhang FM, Shi HP, Yu Z, Shen X, Chen XL, Wang SL. Muscle attenuation, not skeletal muscle index, is an independent prognostic factor for survival in gastric cancer patients with overweight and obesity. Nutrition 2024; 122:112391. [PMID: 38460446 DOI: 10.1016/j.nut.2024.112391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2023] [Revised: 12/19/2023] [Accepted: 02/04/2024] [Indexed: 03/11/2024]
Abstract
OBJECTIVES Skeletal muscle index (SMI) is insufficient for evaluating muscle in obesity, and muscle attenuation (MA) may be a preferred indicator. This study aimed to investigate whether MA has greater prognostic value than SMI in gastric cancer patients with overweight and obesity. METHODS Clinical parameters of 1312 patients with gastric cancer who underwent radical gastrectomy were prospectively collected between 2013 and 2019. MA and SMI were analyzed by computed tomography scan. Overweight/obesity was defined as body mass index (BMI) ≥24 kg/m2. The hazard ratio (HR) for death was calculated using Cox regression analysis. RESULTS Among all patients, 405 were identified as overweight and obese, and 907 were identified as normal and underweight. MA was inversely associated with BMI and visceral fat area. Among the 405 patients with overweight and obesity, 212 patients (52%) were diagnosed with low MA. In the overweight/obese group, MA was an independent predictor for overall survival (HR, 1.610; P = 0.021) in multivariate Cox regression analyses, whereas SMI did not remain in the model. In the normal/underweight group, both low MA (HR, 1.283; P = 0.039) and low SMI (HR, 1.369; P = 0.008) were independent factors of overall survival. Additionally, 318 patients were identified as having visceral obesity in the overweight/obese group, and low MA was also an independent prognostic factor for survival in these patients (HR, 1.765; P = 0.013). CONCLUSION MA had a higher prognostic value than SMI in overweight and obese patients with gastric cancer after radical gastrectomy.
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Affiliation(s)
- Cheng-Le Zhuang
- Department of Gastrointestinal Surgery, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China
| | - Hao-Fan Wu
- Department of Gastrointestinal Surgery, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China
| | - Hao-Jie Jiang
- Department of Gastrointestinal Surgery, The First Affiliated Hospital, Wenzhou Medical University, Wenzhou, China
| | - Feng-Min Zhang
- Department of Gastrointestinal Surgery, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China
| | - Han-Ping Shi
- Department of Gastrointestinal Surgery and Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Zhen Yu
- Department of Gastrointestinal Surgery, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China
| | - Xian Shen
- Department of Gastrointestinal Surgery, The First Affiliated Hospital, Wenzhou Medical University, Wenzhou, China
| | - Xiao-Lei Chen
- Department of Gastrointestinal Surgery, The First Affiliated Hospital, Wenzhou Medical University, Wenzhou, China
| | - Su-Lin Wang
- Department of Gastrointestinal Surgery, The First Affiliated Hospital, Wenzhou Medical University, Wenzhou, China.
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Shi J, Liu T, Liu C, Zhang H, Ruan G, Xie H, Lin S, Zheng X, Chen Y, Zhang Q, Zhang X, Li X, Liu X, Deng L, Shi HP. Remnant cholesterol is an effective biomarker for predicting survival in patients with breast cancer. Nutr J 2024; 23:45. [PMID: 38644466 PMCID: PMC11034071 DOI: 10.1186/s12937-024-00951-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Accepted: 04/16/2024] [Indexed: 04/23/2024] Open
Abstract
BACKGROUND Breast cancer is the most common malignancy in women worldwide. The relationship between remnant cholesterol (RC) and the prognosis of patients with breast cancer has not been clearly reported. This study investigated the prognostic value of RC in predicting mortality in patients with breast cancer. METHODS This study prospectively analysed 709 women patients with breast cancer from the Investigation on Nutrition Status and Clinical Outcome of Common Cancers (INSCOC) project. Restricted cubic splines were used to analyse the dose-response relationship between RC and breast cancer mortality. The Kaplan-Meier method was used to evaluate the overall survival of patients with breast cancer. A Cox regression analyses was performed to assess the independent association between RC and breast cancer mortality. Inverse probability of treatment weighting (IPTW) using the propensity score was used to reduce confounding. Sensitivity analysis was performed after excluding patients with underlying diseases and survival times shorter than one year. RESULTS A linear dose-response relationship was identified between RC and the risk of all-cause mortality in patients with breast cancer (p = 0.036). Kaplan-Meier survival analysis and log-rank test showed that patients with high RC levels had poorer survival than those with low RC levels (p = 0.007). Univariate and multivariate Cox regression analyses showed that RC was an independent risk factor for mortality in women patients with breast cancer. IPTW-adjusted analyses and sensitivity analyses showed that CR remained a prognostic factor. CONCLUSIONS RC is an independent risk factor for the prognosis of patients with breast cancer, and patients with higher RC levels have poorer survival.
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Affiliation(s)
- Jinyu Shi
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Laboratory for Clinical Medicine, Capital Medical University, Beijing, 100053, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Tong Liu
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Laboratory for Clinical Medicine, Capital Medical University, Beijing, 100053, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Chenan Liu
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Laboratory for Clinical Medicine, Capital Medical University, Beijing, 100053, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Heyang Zhang
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Laboratory for Clinical Medicine, Capital Medical University, Beijing, 100053, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Guotian Ruan
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Laboratory for Clinical Medicine, Capital Medical University, Beijing, 100053, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Hailun Xie
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Laboratory for Clinical Medicine, Capital Medical University, Beijing, 100053, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Shiqi Lin
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Laboratory for Clinical Medicine, Capital Medical University, Beijing, 100053, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Xin Zheng
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Laboratory for Clinical Medicine, Capital Medical University, Beijing, 100053, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Yue Chen
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Laboratory for Clinical Medicine, Capital Medical University, Beijing, 100053, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Qi Zhang
- Department of Genetics, Yale School of Medicine, New Haven, CT, 06510, USA
| | - Xiaowei Zhang
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Laboratory for Clinical Medicine, Capital Medical University, Beijing, 100053, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Xiangrui Li
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Laboratory for Clinical Medicine, Capital Medical University, Beijing, 100053, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Xiaoyue Liu
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Laboratory for Clinical Medicine, Capital Medical University, Beijing, 100053, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Li Deng
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Laboratory for Clinical Medicine, Capital Medical University, Beijing, 100053, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Han-Ping Shi
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
- Laboratory for Clinical Medicine, Capital Medical University, Beijing, 100053, China.
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China.
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Deng L, Liu T, Liu CA, Zhang Q, Song MM, Lin SQ, Wang YM, Zhang QS, Shi HP. The association of metabolic syndrome scores trajectory patterns with risk of all cancer types. Cancer 2024. [PMID: 38462898 DOI: 10.1002/cncr.35235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 01/05/2024] [Accepted: 01/22/2024] [Indexed: 03/12/2024]
Abstract
BACKGROUND Metabolic syndrome (MetS) elevates cancer risk. However, a single MetS assessment does not fully reveal the long-term association with cancer. Inflammation, alongside MetS, could synergistically expedite both the onset and advancement of cancer. This study aims to investigate MetS score trajectories and cancer risk in a large, prospective cohort study. METHODS The authors prospectively examined the relationship between MetS score trajectory patterns and new-onset cancer in 44,115 participants. Latent mixture modeling was used to identify the MetS score trajectories. Cox proportional hazards regression models were used to evaluate the association between MetS score trajectory patterns and the risk of overall and site-specific cancers. RESULTS Four MetS score trajectory patterns were identified: low-stable (n = 4657), moderate-low (n = 18,018), moderate-high (n = 18,288), and elevated-increasing (n = 3152). Compared to participants with a low-stable trajectory pattern, the elevated-increasing trajectory pattern was associated with an elevated risk of overall (hazard ratio [HR], 1.27; 95% confidence interval [CI], 1.04-1.55), breast (HR, 2.11; 95% CI, 1.04-4.34), endometrial (HR, 3.33; 95% CI, 1.16-6.77), kidney (HR, 4.52; 95% CI, 1.17-10.48), colorectal (HR, 2.54; 95% CI, 1.27-5.09), and liver (HR, 1.61; 95% CI, 1.09-4.57) cancers. Among participants with chronic inflammation (C-reactive protein levels ≥3 mg/L), the elevated-increasing trajectory pattern was significantly associated with subsequent breast, endometrial, colorectal, and liver cancers. CONCLUSIONS Trajectories of MetS scores are associated with the occurrence of cancers, especially breast, endometrial, kidney, colorectal, and liver cancers, emphasizing the importance of long-term monitoring and evaluation of MetS. PLAIN LANGUAGE SUMMARY The association between long-term elevated metabolic syndrome (MetS) scores and a heightened risk of various cancers is a pivotal finding of our study. Our research further indicates that individuals with MetS, particularly when coupled with chronic inflammation, are at an increased risk of cancer. We propose that sustained monitoring and management of MetS could be beneficial in reducing cancer risk.
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Affiliation(s)
- Li Deng
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- Laboratory for Clinical Medicine, Capital Medical University, Beijing, China
| | - Tong Liu
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- Laboratory for Clinical Medicine, Capital Medical University, Beijing, China
| | - Chen-An Liu
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- Laboratory for Clinical Medicine, Capital Medical University, Beijing, China
| | - Qi Zhang
- Department of Genetics, Yale School of Medicine, New Haven, Connecticut, USA
| | - Meng-Meng Song
- Cardiovascular Research Institute, University of California, San Francisco, San Francisco, California, USA
| | - Shi-Qi Lin
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- Laboratory for Clinical Medicine, Capital Medical University, Beijing, China
| | - Yi-Ming Wang
- Department of Hepatological Surgery, Kailuan General Hospital, Tangshan, China
| | - Qing-Song Zhang
- Department of General Surgery, Kailuan General Hospital, Tangshan, China
| | - Han-Ping Shi
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- Laboratory for Clinical Medicine, Capital Medical University, Beijing, China
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Huang JX, Zhang X, Tang M, Zhang Q, Deng L, Song CH, Li W, Shi HP, Cong MH. Comprehensive evaluation of serum hepatic proteins in predicting prognosis among cancer patients with cachexia: an observational cohort study. BMC Cancer 2024; 24:293. [PMID: 38438901 PMCID: PMC10913220 DOI: 10.1186/s12885-024-12056-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Accepted: 02/26/2024] [Indexed: 03/06/2024] Open
Abstract
BACKGROUND Hepatic proteins, including albumin, prealbumin, and transferrin have been confirmed to be prognostic predictors in various cancers. This study aimed to comprehensively assess the prognostic value of these three serum markers in patients with cancer cachexia. METHODS This multicenter prospective cohort study included 1303 cancer cachexia patients, among whom 592 deaths occurred during a median follow-up of 20.23 months. The definition of cachexia was based on the 2011 international consensus. Concordance index (C-index) and receiver operating characteristic (ROC) curves were applied to compare the prognostic performance. The primary outcome was overall survival, which was calculated using the Kaplan-Meier method generated by log-rank test. A Cox proportional hazard regression model was used to identify independent predictors associated with survival. The secondary outcomes included 90-days mortality and quality of life (QoL). RESULTS C-index and ROC curves showed that albumin had the most accurate predictive capacity for survival, followed by transferrin and prealbumin. Multivariate Cox analysis confirmed that low albumin (hazard ratio [HR] = 1.51, 95% confidence interval [95%CI] = 1.28-1.80, P < 0.001), prealbumin (HR = 1.42, 95%CI = 1.19-1.69, P < 0.001), and transferrin (HR = 1.50, 95%CI = 1.25-1.80, P < 0.001) were independent risk factors for long-term survival in cancer patients with cachexia. In subgroup analysis, the prognostic value of low albumin was significant in patients with upper gastrointestinal, hepatobiliary and pancreatic, and colorectal cancers; low prealbumin was significant in colorectal cancer; and low transferrin was significant in patients with upper gastrointestinal and colorectal cancer. All three hepatic proteins were valuable as prognostic predictors for patients with advanced (Stage III and IV) cancer with cachexia. The risks of 90-days mortality and impaired QoL were higher in cachexia patients with low albumin, prealbumin, and transferrin levels. CONCLUSION Low albumin, prealbumin, and transferrin levels were all independent prognostic factors affecting patients with cancer cachexia, especially in patients in the advanced stages. These results highlight the value of routinely checking serum hepatic proteins in clinical practice to predict the prognosis of patients with cancer cachexia.
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Affiliation(s)
- Jia-Xin Huang
- Department of Comprehensive Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Cancer Center of the First Hospital of Jilin University, Changchun, 130021, People's Republic of China
| | - Xi Zhang
- Department of Comprehensive Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
| | - Meng Tang
- Department of Comprehensive Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
| | - Qi Zhang
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- Department of Gastrointestinal Surgery, Zhejiang Cancer Hospital, Hangzhou, China
| | - Li Deng
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Chun-Hua Song
- Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Wei Li
- Cancer Center of the First Hospital of Jilin University, Changchun, 130021, People's Republic of China
| | - Han-Ping Shi
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Ming-Hua Cong
- Department of Comprehensive Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
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7
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Wu HF, Yan JP, Wu Q, Yu Z, Xu HX, Song CH, Guo ZQ, Li W, Xiang YJ, Xu Z, Luo J, Cheng SQ, Zhang FM, Shi HP, Zhuang CL. Discovery of distinct cancer cachexia phenotypes using an unsupervised machine-learning algorithm. Nutrition 2024; 119:112317. [PMID: 38154396 DOI: 10.1016/j.nut.2023.112317] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 11/23/2023] [Accepted: 11/24/2023] [Indexed: 12/30/2023]
Abstract
OBJECTIVES Cancer cachexia is a debilitating condition with widespread negative effects. The heterogeneity of clinical features within patients with cancer cachexia is unclear. The identification and prognostic analysis of diverse phenotypes of cancer cachexia may help develop individualized interventions to improve outcomes for vulnerable populations. The aim of this study was to show that the machine learning-based cancer cachexia classification model generalized well on the external validation cohort. METHODS This was a nationwide multicenter observational study conducted from October 2012 to April 2021 in China. Unsupervised consensus clustering analysis was applied based on demographic, anthropometric, nutritional, oncological, and quality-of-life data. Key characteristics of each cluster were identified using the standardized mean difference. We used logistic and Cox regression analysis to evaluate 1-, 3-, 5-y, and overall mortality. RESULTS A consensus clustering algorithm was performed for 4329 patients with cancer cachexia in the discovery cohort, and four clusters with distinct phenotypes were uncovered. From clusters 1 to 4, the clinical characteristics of patients showed a transition from almost unimpaired to mildly, moderately, and severely impaired. Consistently, an increase in mortality from clusters 1 to 4 was observed. The overall mortality rate was 32%, 40%, 54%, and 68%, and the median overall survival time was 21.9, 18, 16.7, and 13.6 mo for patients in clusters 1 to 4, respectively. Our machine learning-based model performed better in predicting mortality than the traditional model. External validation confirmed the above results. CONCLUSIONS Machine learning is valuable for phenotype classifications of patients with cancer cachexia. Detection of clinically distinct clusters among cachexic patients assists in scheduling personalized treatment strategies and in patient selection for clinical trials.
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Affiliation(s)
- Hao-Fan Wu
- Colorectal Cancer Center/Department of Gastrointestinal Surgery, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Jiang-Peng Yan
- Department of Automation, Tsinghua University, Beijing, China
| | - Qian Wu
- Colorectal Cancer Center/Department of Gastrointestinal Surgery, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Zhen Yu
- Colorectal Cancer Center/Department of Gastrointestinal Surgery, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Hong-Xia Xu
- Department of Clinical Nutrition, Daping Hospital & Research Institute of Surgery, Third Military Medical University, Chongqing, China
| | - Chun-Hua Song
- Department of Epidemiology and Statistics, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Zeng-Qing Guo
- Department of Medical Oncology, Fujian Cancer Hospital, Fujian Medical University Cancer Hospital, Fuzhou, China
| | - Wei Li
- Cancer Center of the First Hospital of Jilin University, Changchun, China
| | - Yan-Jun Xiang
- Department of Hepatobiliary Surgery, The First Affiliated Hospital, Wenzhou Medical University, Wenzhou, China; Department of Hepatic Surgery VI, Eastern Hepatobiliary Surgery Hospital, Naval Medical University, Shanghai, China
| | - Zhe Xu
- Department of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong, China
| | - Jie Luo
- Brigham and Women's Hospital, Harvard Medical School, Boston, USA
| | - Shu-Qun Cheng
- Tongji University Cancer Center, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Feng-Min Zhang
- Colorectal Cancer Center/Department of Gastrointestinal Surgery, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Han-Ping Shi
- Department of Gastrointestinal Surgery/Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Cheng-Le Zhuang
- Colorectal Cancer Center/Department of Gastrointestinal Surgery, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
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Ge YZ, Liu T, Deng L, Zhang Q, Liu CA, Ruan GT, Xie HL, Song MM, Lin SQ, Yao QH, Shen X, Shi HP. The age-related obesity paradigm: results from two large prospective cohort studies. J Cachexia Sarcopenia Muscle 2024; 15:442-452. [PMID: 38146198 PMCID: PMC10834317 DOI: 10.1002/jcsm.13415] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 10/12/2023] [Accepted: 11/20/2023] [Indexed: 12/27/2023] Open
Abstract
BACKGROUND The obesity paradigm has been a health concern globally for many years, its meaning is controversial. In this study, we assess the characteristics and causes of obesity paradigm and detail the mediation of obesity and inflammation on survival. METHODS The original cohort included participants from the US National Health and Nutrition Examination Survey (NHANES) from 1999 to 2018, a prospective cohort of a nationally representative sample of adult participants; the oncology validation cohort included patients from the Investigation on Nutrition Status and Clinical Outcome of Common Cancers (INSCOC) from 2013 to 2021, a prospective cohort of Chinese patients with cancer. Survival analysis was performed using weighted (NHANES) or unweighted (INSCOC) Cox survival analyses. The normal BMI group was used as a reference for all comparisons. Systemic inflammation was defined as neutrophil-to-lymphocyte ratio (NLR) > 3. Model-based causal mediation analysis was used to identify the mediators. RESULTS A total of 52 270 (weighted population: 528506229) participants of the NHANES [mean follow-up times: 10.2 years; mean age (SD): 47 (19.16) years] were included in the original cohort; and a total of 17 418 patients with cancer of INSCOC [mean follow-up times: 2.9 years; mean age (SD): 57.37 (11.66) years] were included in the validation cohort. In the subgroups of all the participants, the obesity paradigm was more apparent in older participants and participants with disease [HR (95% CI): age ≥ 65 years, 0.84 (0.76, 0.93); with cancer, 0.84 (0.71, 0.99); with CVD, 0.74 (0.65, 0.85)]. As aged, the protective effect of a high BMI on survival gradually increased and a high BMI showed the effect of a protective factor on older participants [for obese II, HR (95% CI): young adults, 1.91 (1.40, 2.62); middle age, 1.56 (1.28, 1.91); old adults, 0.85 (0.76, 0.96]). The aged-related obesity paradigm in patients with cancer from the NHANES was verified in the INSCOC cohorts [for obese, HR (95%CI): 0.65 (0.52, 0.81)]. The NLR is an important mediator of the effect of BMI on survival (proportion of mediation = 15.4%). CONCLUSIONS The obesity paradigm has a strong correlation with age. Relative to normal weight, obese in young people was association with higher all-cause mortality, and obese in elderly people was not association with higher mortality. The protection of obesity is association with systemic inflammation.
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Affiliation(s)
- Yi-Zhong Ge
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
| | - Tong Liu
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
| | - Li Deng
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
| | - Qi Zhang
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- Department of Colorectal Surgery, Cancer Hospital of University of Chinese Academy of Sciences, Zhejiang Cancer Hospital, Hangzhou, China
| | - Chen-An Liu
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
| | - Guo-Tian Ruan
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
| | - Hai-Lun Xie
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
| | - Meng-Meng Song
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
| | - Shi-Qi Lin
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
| | - Qin-Hua Yao
- Department of Integrated Chinese and Western Medicine, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, China
- Integrated Traditional Chinese and Western Medicine Oncology Laboratory, Key Laboratory of Traditional Chinese Medicine of Zhejiang Province, Hangzhou, China
- Key Laboratory of Head & Neck Cancer Translational Research of Zhejiang Province, Hangzhou, China
| | - Xian Shen
- The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China
| | - Han-Ping Shi
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
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9
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Ruan GT, Deng L, Xie HL, Shi JY, Liu XY, Zheng X, Chen Y, Lin SQ, Zhang HY, Liu CA, Ge YZ, Song MM, Hu CL, Zhang XW, Yang M, Hu W, Cong MH, Zhu LC, Wang KH, Shi HP. Systemic inflammation and insulin resistance-related indicator predicts poor outcome in patients with cancer cachexia. Cancer Metab 2024; 12:3. [PMID: 38273418 PMCID: PMC10809764 DOI: 10.1186/s40170-024-00332-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Accepted: 01/12/2024] [Indexed: 01/27/2024] Open
Abstract
BACKGROUND The C-reactive protein (CRP)-triglyceride-glucose (TyG) index (CTI), which is a measure representing the level of inflammation and insulin resistance (IR), is related to poor cancer prognosis; however, the CTI has not been validated in patients with cancer cachexia. Thus, this study aimed to explore the potential clinical value of the CTI in patients with cancer cachexia. METHODS In this study, our prospective multicenter cohort included 1411 patients with cancer cachexia (mean age 59.45 ± 11.38, 63.3% male), which was a combined analysis of multiple cancer types. We randomly selected 30% of the patients for the internal test cohort (mean age 58.90 ± 11.22% 61.4% male). Additionally, we included 307 patients with cancer cachexia in the external validation cohort (mean age 61.16 ± 11, 58.5% male). Receiver operating characteristic (ROC) and calibration curves were performed to investigate the prognostic value of CTI. The prognostic value of the CTI was also investigated performing univariate and multivariate survival analyses. RESULTS The survival curve indicated that the CTI showed a significant prognostic value in the total, internal, and external validation cohorts. Prognostic ROC curves and calibration curves revealed that the CTI showed good consistency in predicting the survival of patients with cancer cachexia. Multivariate survival analysis showed that an elevated CTI increased the risk of death by 22% (total cohort, 95% confidence interval [CI] = 1.13-1.33), 34% (internal test cohort, 95%CI = 1.11-1.62), and 35% (external validation cohort, 95%CI = 1.14-1.59) for each increase in the standard deviation of CTI. High CTI reliably predicted shorter survival (total cohort, hazard ratio [HR] = 1.45, 95%CI = 1.22-1.71; internal test cohort, HR = 1.62, 95%CI = 1.12-2.36; external validation cohort, HR = 1.61, 95%CI = 1.15-2.26). High CTI significantly predicted shorter survival in different tumor subgroups, such as esophageal [HR = 2.11, 95%CI = 1.05-4.21] and colorectal cancer [HR = 2.29, 95%CI = 1.42-3.71]. The mediating effects analysis found that the mediating proportions of PGSGA, ECOG PS, and EORTC QLQ-C30 on the direct effects of CTI were 21.72%, 19.63%, and 11.61%, respectively We found that there was a significant positive correlation between the CTI and 90-day [HR = 2.48, 95%CI = 1.52-4.14] and 180-day mortality [HR = 1.77,95%CI = 1.24-2.55] in patients with cancer cachexia. CONCLUSION The CTI can predict the short- and long-term survival of patients with cancer cachexia and provide a useful prognostic tool for clinical practice.
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Affiliation(s)
- Guo-Tian Ruan
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100053, China
- Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
- Laboratory for Clinical Medicine, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China
| | - Li Deng
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100053, China
- Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
- Laboratory for Clinical Medicine, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China
| | - Hai-Lun Xie
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100053, China
- Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
- Laboratory for Clinical Medicine, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China
| | - Jin-Yu Shi
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100053, China
- Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
- Laboratory for Clinical Medicine, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China
| | - Xiao-Yue Liu
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100053, China
- Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
- Laboratory for Clinical Medicine, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China
| | - Xin Zheng
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100053, China
- Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
- Laboratory for Clinical Medicine, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China
| | - Yue Chen
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100053, China
- Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
- Laboratory for Clinical Medicine, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China
| | - Shi-Qi Lin
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100053, China
- Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
- Laboratory for Clinical Medicine, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China
| | - He-Yang Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100053, China
- Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
- Laboratory for Clinical Medicine, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China
| | - Chen-An Liu
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100053, China
- Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
- Laboratory for Clinical Medicine, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China
| | - Yi-Zhong Ge
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100053, China
- Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
- Laboratory for Clinical Medicine, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China
| | - Meng-Meng Song
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100053, China
- Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
- Laboratory for Clinical Medicine, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China
| | - Chun-Lei Hu
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100053, China
- Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
- Laboratory for Clinical Medicine, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China
| | - Xiao-Wei Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100053, China
- Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
- Laboratory for Clinical Medicine, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China
| | - Ming Yang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100053, China
- Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
- Laboratory for Clinical Medicine, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China
| | - Wen Hu
- Clinical Nutrition Department, Sichuan University West China Hospital, Chengdu, 610041, Sichuan, China
| | - Ming-Hua Cong
- Comprehensive Oncology Department, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100038, China
| | - Li-Chen Zhu
- Department of Immunology, School of Preclinical Medicine, Guangxi Medical University, Nanning, 530021, China
| | - Kun-Hua Wang
- Yunnan University, Kunming, 650091, China
- General Surgery Clinical Medical Center of Yunnan Province, Kunming, 650032, China
| | - Han-Ping Shi
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China.
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100053, China.
- Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China.
- Laboratory for Clinical Medicine, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China.
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10
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Zheng X, Shi JY, Wang ZW, Ruan GT, Ge YZ, Lin SQ, Liu CA, Chen Y, Xie HL, Song MM, Liu T, Yang M, Liu XY, Deng L, Cong MH, Shi HP. Geriatric Nutritional Risk Index Combined with Calf Circumference Can be a Good Predictor of Prognosis in Patients Undergoing Surgery for Gastric or Colorectal Cancer. Cancer Control 2024; 31:10732748241230888. [PMID: 38303637 PMCID: PMC10836130 DOI: 10.1177/10732748241230888] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Revised: 11/16/2023] [Accepted: 01/11/2024] [Indexed: 02/03/2024] Open
Abstract
OBJECTIVES To explore the effect of combined hematological and physical measurement indicators on the prognosis of patients undergoing surgery for gastric or colorectal cancer and to screen for the best prognostic indicators. INTRODUCTION Gastric and colorectal cancer is a widespread health concern worldwide and one of the major contributors to cancer-related death. The hematological and physical measurement indicators have been shown to associate with the prognosis of patients undergoing surgery for gastric or colorectal cancer, respectively, but it is still unclear whether the combination of the two can reflect the prognosis more effectively. METHODS Thirteen hematological indicators and 5 physical measurement indicators were selected in this study, and the most promising ones were screened using LASSO regression. Then, the best prognostic indicators were selected by time-ROC curves. Survival curves were constructed using the Kaplan-Meier method, and the effects of hematological and physical measurement indicators on the prognosis of patients undergoing surgery for gastric or colorectal cancers were evaluated by Cox proportional risk regression analysis. In addition, the relationship between hematological and physical measurement indicators on secondary outcomes, including length of stay, hospitalization costs, intensive care unit (ICU) admission, and patients' subjective global assessment scores (PGSGA), was explored. RESULTS After initial screening, among the hematological indicators, the geriatric nutritional risk index (GNRI) showed the highest mean area under the curve (AUC) values. Among body measures, calf circumference (CC) showed the highest mean AUC value. Further analyses showed that the combination of combined nutritional prognostic index (GNRI) and calf circumference (CC) (GNRI-CC) had the best performance in predicting the prognosis of patients undergoing surgery for gastric or colorectal cancers. Low GNRI, low CC, and low GNRI-low CC increased the risk of death by 44%, 48%, and 104%, respectively. Sensitivity analyses showed the same trend. In addition, low GNRI-low CC increased the risk of malnutrition by 17%. CONCLUSION This study emphasizes that a combination of blood measures and body measures is essential to accurately assess the prognosis of patients undergoing surgery for gastric or colorectal cancers. The GNRI-CC is a good prognostic indicator and can also assess the risk of possible malnutrition.
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Affiliation(s)
- Xin Zheng
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Jin-Yu Shi
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Zi-Wen Wang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Guo-Tian Ruan
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Yi-Zhong Ge
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China
| | - Shi-Qi Lin
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China
| | - Chen-An Liu
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China
| | - Yue Chen
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China
| | - Hai-Lun Xie
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Meng-Meng Song
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Tong Liu
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Ming Yang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Xiao-Yue Liu
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Li Deng
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China
| | - Ming-Hua Cong
- Comprehensive Oncology Department, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Han-Ping Shi
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China
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11
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Zhang X, Huang JX, Tang M, Zhang Q, Deng L, Song CH, Li W, Shi HP, Cong MH. Modified Controlling Nutritional Status (mCONUT) serves as a promising prognostic factor in patients with cancer cachexia. Nutrition 2024; 117:112229. [PMID: 37922740 DOI: 10.1016/j.nut.2023.112229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Revised: 09/03/2023] [Accepted: 09/16/2023] [Indexed: 11/07/2023]
Abstract
BACKGROUND Malnutrition and systemic inflammation are considered 2 hallmarks of cancer cachexia. Our study aimed to construct a modified Controlling Nutritional Status by introducing C-reactive protein as an inflammatory parameter and investigate its prognostic value in patients with cancer cachexia. METHODS This multicenter cohort study included 5221 patients with cancer, among whom 1719 were diagnosed with cachexia. Concordance index and receiver operating characteristic curves were used to compare prognostic values between the 2 systems. The primary outcome was overall survival, and comprehensive survival analyses were performed. The secondary outcomes were short-term survival, malnutrition, and quality of life. RESULTS During the median follow-up of 17.47 mo, 813 deaths were recorded. The modified Controlling Nutritional Status was more accurate than Controlling Nutritional Status in predicting survival in patients with cancer cachexia. Patients in the high Controlling Nutritional Status/modified Controlling Nutritional Status group had a significantly shorter overall survival. Multivariate Cox analysis confirmed high Controlling Nutritional Status (hazard ratio = 1.34, 95% CI, 1.13-1.58; P < 0.001) and modified Controlling Nutritional Status (hazard ratio = 1.46; 95% CI, 1.26-1.69; P < 0.001) were independent risk factors for survival, adjusting for confounders. In subgroup analyses, a high modified Controlling Nutritional Status score had a significantly negative effect on survival in cachexia patients with upper gastrointestinal and colorectal cancer, especially for advanced-stage (stages III and IV) patients. The risk of short-term mortality and experiencing malnutrition rose to 1.48 and 1.13 times, respectively, in the high modified Controlling Nutritional Status group, as well as that for poorer life quality. CONCLUSION The modified Controlling Nutritional Status group comprehensively reflects nutritional, immune, and inflammatory status and serves as a powerful prognostic scoring system in patients with cancer cachexia.
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Affiliation(s)
- Xi Zhang
- Department of Comprehensive Oncology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
| | - Jia-Xin Huang
- Department of Comprehensive Oncology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; Cancer Center of The First Hospital of Jilin University, Changchun, People's Republic of China
| | - Meng Tang
- Department of Comprehensive Oncology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
| | - Qi Zhang
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China; Department of Gastrointestinal Surgery, Zhejiang Cancer Hospital, Hangzhou, China
| | - Li Deng
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China; Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Chun-Hua Song
- Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Wei Li
- Cancer Center of The First Hospital of Jilin University, Changchun, People's Republic of China
| | - Han-Ping Shi
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China; Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Ming-Hua Cong
- Department of Comprehensive Oncology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
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12
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Huang JX, Zhang X, Tang M, Zhang Q, Deng L, Song CH, Li W, Yang M, Shi HP, Cong MH. Association between a novel nutrition-inflammation prognostic grading system and overall survival in hospitalized adults with cancer: A retrospective cohort study. JPEN J Parenter Enteral Nutr 2024; 48:108-119. [PMID: 37855392 DOI: 10.1002/jpen.2565] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Revised: 08/31/2023] [Accepted: 10/07/2023] [Indexed: 10/20/2023]
Abstract
BACKGROUND Malnutrition and increased systemic inflammatory responses are highly prevalent in patients with cancer and they have a negative effect on prognosis. We aimed to develop a nutrition-inflammation prognostic grading system (NIPGS) for patients with cancer, which incorporates the Nutritional Risk Screening 2002 (NRS 2002) and C-reactive protein (CRP) levels. METHODS This multicenter retrospective cohort study totally included 6891 patients diagnosed with cancer. A 4 × 4 matrix incorporating the four NRS 2002 categories within each of the four CRP categories was constructed. Groups with approximate hazard ratios (HRs) were clustered into one grade. The NIPGS consists of four grades, with the survival rate gradually decreasing from Grades 1 to 4. The primary outcome was overall survival (OS) and comprehensive survival analyses were performed. RESULTS During a median follow-up of 18.70 months, 2818 death cases occurred. Kaplan-Meier curve showed the survival rate decreased from Grades 1 to 4 of NIPGS (P < 0.001). The NIPGS was an independent risk factor associated with OS adjusting for confounders, with HRs increasing from 1.22 (95% confidence interval [CI], 1.09-1.36; P < 0.001) in Grade 2, 1.58 (95% CI, 1.39-1.80; P < 0.001) in Grade 3 to 1.92 (95% CI, 1.73-2.13; P < 0.001) in Grade 4. A high NIPGS grade was also associated with an increased risk of short-term mortality, poor quality of life, and longer hospital stay and expenses. Two internal validation cohorts confirmed the results of our study. CONCLUSION The NIPGS could be an effective prognostic tool for patients with cancer.
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Affiliation(s)
- Jia-Xin Huang
- Department of Comprehensive Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Cancer Center of the First Hospital of Jilin University, Changchun, China
| | - Xi Zhang
- Department of Comprehensive Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
| | - Meng Tang
- Department of Comprehensive Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
| | - Qi Zhang
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- Department of Gastrointestinal Surgery, Zhejiang Cancer Hospital, Hangzhou, China
| | - Li Deng
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- Department of Gastrointestinal Surgery and Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Chun-Hua Song
- Department of Epidemiology, Zhengzhou University, Zhengzhou, China
| | - Wei Li
- Cancer Center of the First Hospital of Jilin University, Changchun, China
| | - Min Yang
- Department of Comprehensive Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Han-Ping Shi
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- Department of Gastrointestinal Surgery and Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Ming-Hua Cong
- Department of Comprehensive Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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13
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Zhang X, Huang JX, Tang M, Zhang Q, Deng L, Song CH, Li W, Yang M, Shi HP, Cong MH. A comprehensive analysis of the association between anemia and systemic inflammation in older patients with cancer. Support Care Cancer 2023; 32:39. [PMID: 38110562 DOI: 10.1007/s00520-023-08247-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Accepted: 12/08/2023] [Indexed: 12/20/2023]
Abstract
PURPOSE Our study aimed to comprehensively analyze the association between anemia and systemic inflammation in older patients with cancer. METHODS This multicenter prospective cohort study included 4955 older patients with cancer between 2013 and 2020. Logistic regression analysis was performed to investigate risk factors of anemia, reporting odds ratios (ORs), and 95% confidence intervals (CIs). Comprehensive survival analyses, including Kaplan-Meier curve, Cox proportional risk model, and subgroup analysis, were performed. RESULTS The participants' median age was 70.0 (interquartile range [IQR]=67.0-74.0) years, with 3293 (66.5%) males and 1662 (33.5%) females. There were 1717 (34.7%) older patients with cancer diagnosed with anemia. High neutrophil-to-lymphocyte ratio (NLR) was an independent risk factor associated with anemia (adjusted OR=1.97, 95%CI=1.73-2.24, P<0.001). In older patients with cancer and different anemia levels, the median overall survival was significantly shorter in those with a high NLR. In multivariate Cox analysis, high NLR served as a negative factor, independently affecting survival. The anemia-inflammation prognostic grading system showed a significant survival discriminative performance in older patients with cancer. After adjusting for confounders, high grades were independent risk factors for survival (grade 2: hazard ratio [HR] = 1.38, 95%CI = 1.26-1.52, P<0.001; grade 3: HR=1.82 95%CI = 1.59-2.09, P<0.001). This grading system was beneficial in determining survival in patients with lung, digestive tract, and urogenital cancers. CONCLUSIONS Increased systemic inflammation is an independent risk factor for anemia. A high inflammatory status is also associated with poor survival in older cancer patients at different anemia levels. The anemia-inflammation grading system is beneficial for determining the prognosis in older patients with cancer.
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Affiliation(s)
- Xi Zhang
- Department of Comprehensive Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
| | - Jia-Xin Huang
- Department of Comprehensive Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Cancer Center of the First Hospital of Jilin University, Changchun, 130021, People's Republic of China
| | - Meng Tang
- Department of Comprehensive Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
| | - Qi Zhang
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- Department of Gastrointestinal Surgery, Zhejiang Cancer Hospital, Zhejiang, China
| | - Li Deng
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Chun-Hua Song
- Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Wei Li
- Cancer Center of the First Hospital of Jilin University, Changchun, 130021, People's Republic of China
| | - Min Yang
- Department of Comprehensive Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Han-Ping Shi
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China.
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China.
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
| | - Ming-Hua Cong
- Department of Comprehensive Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
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14
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Ruan GT, Wei YP, Ge YZ, Liu LS, Zhou ZY, Siddiqi SM, He QQ, Li SQ, Xu JF, Song Y, Zhang Q, Zhang X, Yang M, Chen P, Sun Y, Wang XB, Wang BY, Shi HP. Poor sleep quality association with higher lung cancer risk: a nested case-control study. PeerJ 2023; 11:e16540. [PMID: 38111660 PMCID: PMC10726752 DOI: 10.7717/peerj.16540] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 11/08/2023] [Indexed: 12/20/2023] Open
Abstract
Background Little is known about the relationship between sleep quality and lung cancer incidence. Thus, this study was conducted to investigate the potential connection between sleep quality and lung cancer incidence. Methods We performed and selected a nested case-control study that included 150 lung cancer cases and 150 matched controls based on the Lianyungang cohort. Univariate and multivariate logistic regression was utilized to investigate the connection between potential risk factors and lung cancer incidence risk. Results In this study, the average age of participants was 66.5 ± 9.1 years, with 58.7% being male, and 52.7% reportedly experiencing sleep quality problems. The results of multivariate logistic regression showed that poor sleep quality was connected to an increased lung cancer incidence risk (P = 0.033, odds ratio = 1.83, 95% confidence interval = [1.05-3.19]) compared with those with good sleep quality. The stratified analyses showed a significantly positive connection between poor sleep quality (vs. good sleep quality) and cancer risk in smokers (vs. non-smoker, P for interaction = 0.085). The combined effect analysis indicated that smokers with poor sleep quality suffered from a 2.79-fold increase in cancer incidence rates when compared with non-smokers with good sleep quality. Conclusions Poor sleep quality was positively connected to an increased lung cancer incidence risk. In addition, among those individuals with poor sleep quality, smoking increased the lung cancer incidence risk.
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Affiliation(s)
- Guo-Tian Ruan
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Ya-Ping Wei
- College of Public Health, Shanghai University of Medicine and Health Sciences, Shanghai, China
| | - Yi-Zhong Ge
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Li-Shun Liu
- Graduate School at Shenzhen, Tsinghua University, Shenzhen, China
- Shenzhen Evergreen Medical Institute, Shenzhen, China
| | - Zi-Yi Zhou
- Graduate School at Shenzhen, Tsinghua University, Shenzhen, China
- Shenzhen Evergreen Medical Institute, Shenzhen, China
| | | | - Qiang-Qiang He
- Graduate School at Shenzhen, Tsinghua University, Shenzhen, China
| | - Shu-Qun Li
- Shenzhen Evergreen Medical Institute, Shenzhen, China
| | - Jia-Feng Xu
- Shenzhen Evergreen Medical Institute, Shenzhen, China
| | - Yun Song
- AUSA Research Institute, Shenzhen AUSA Pharmed Co Ltd, Shenzhen, China
- Institute for Biomedicine, Anhui Medical University, Hefei, China
| | - Qi Zhang
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Xi Zhang
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Ming Yang
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Ping Chen
- Inspection and Testing Center, Key Laboratory of Cancer FSMP for State Market Regulation, Shenzhen, China
- College of Pharmacy, Jinan University, Guangzhou, China
| | - Yong Sun
- The First People’s Hospital of Lianyungang City, the First Affiliated Hospital of Kangda College of Nanjing Medical University, Lianyungang, China
| | - Xiao-Bin Wang
- Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, USA
| | - Bin-Yan Wang
- Shenzhen Evergreen Medical Institute, Shenzhen, China
- Institute for Biomedicine, Anhui Medical University, Hefei, China
| | - Han-Ping Shi
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
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15
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Zhang H, Shi J, Xie H, Liu X, Ruan G, Lin S, Ge Y, Liu C, Chen Y, Zheng X, Song M, Yang M, Zhang X, Shi HP. Superiority of CRP-albumin-lymphocyte index as a prognostic biomarker for patients with gastric cancer. Nutrition 2023; 116:112191. [PMID: 37716090 DOI: 10.1016/j.nut.2023.112191] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Revised: 06/05/2023] [Accepted: 08/06/2023] [Indexed: 09/18/2023]
Abstract
OBJECTIVES The new C-reactive protein (CRP)-albumin-lymphocyte (CALLY) index is an immune nutrition scoring system based on serum CRP) serum albumin, and lymphocyte counts. The aim of this study was to verify the prognostic value of the CALLY index in patients with gastric cancer and to evaluate the superiority of this new system. METHODS We retrospectively analyzed the data of patients with gastric cancer who were followed up from the INSCOC database between May 2013 and December 2018. Through simple random sampling, patients with gastric cancer were placed into one of two groups: the training group (n = 684) or the verification group (n = 290) in a ratio of 7:3. Correlation analysis, Kaplan-Meier method, and cubic spline function were used to analyze the relationship between the CALLY index and overall survival (OS) in these patients. Based on the results of Cox regression analysis of the training cohort, a nomogram model for predicting 1 -, 2 -, 3-, and 5-y OS was established and verified internally. The prediction accuracy and benefit of the nomogram in gastric cancer were evaluated by calibration and clinical decision curve and compared with the traditional TNM gastric cancer staging system. RESULTS The CALLY index was negatively correlated with the age of patients with gastric cancer (men, r = -0.1; women, r = -0.1), but positively correlated with body mass index (BMI; men, r = 0.063; women, r = 0.058), and the cutoff value of the CALLY index was determined as 1.12. The OS of patients with gastric cancer and a CALLY index >1.12 was significantly higher than that of patients with gastric cancer and a CALLY index ≤1.12 (P < 0.0001). There was an L-shaped dose-response relationship between the CALLY index and OS in patients with gastric cancer, and age, TNM stage, surgical treatment, chemotherapy, BMI, and the CALLY index were significantly correlated with the prognosis of patients with gastric cancer. Tumor TNM stage, BMI, and the CALLY index were independent risk factors affecting the prognosis of patients with gastric cancer. The CALLY index was a protective factor in the following patient factors: diagnosis of gastric cancer; <65 y of age; male; TNM 3 stage; BMI 18.5 to 23.9 kg/m2; smoker; consumer of alcohol; no radio- or chemotherapy; surgery; presence of diabetes, hypertension, or both; no family history of cancer; experienced a significant interaction with chemotherapy and surgery. A nomogram based on TNM staging, BMI, and the CALLY index has good predictive ability and clinical application value. Compared with traditional TNM staging systems, the nomogram has better resolution and accuracy in predicting 1 -, 2 -, 3-, and 5-year OS. CONCLUSION The CALLY index can be used as an independent prognostic factor for patients with gastric cancer, and constructs a nomogram prediction model combining TNM staging, BMI, and CALLY index, which yields better predictions than traditional TNM staging.
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Affiliation(s)
- Heyang Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Jinyu Shi
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Hailun Xie
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Xiaoyue Liu
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Guotian Ruan
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Shiqi Lin
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Yizhong Ge
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Chenan Liu
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Yue Chen
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Xin Zheng
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Mengmeng Song
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Ming Yang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Xiaowei Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Han-Ping Shi
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China.
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Yang M, Zhang Q, Ge YZ, Tang M, Zhang X, Song MM, Ruan GT, Zhang XW, Zhang KP, Shi HP. Association between insulin resistance related indicators with the prognosis of patients with colorectal cancer. Cancer Epidemiol 2023; 87:102478. [PMID: 37856934 DOI: 10.1016/j.canep.2023.102478] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Revised: 10/09/2023] [Accepted: 10/12/2023] [Indexed: 10/21/2023]
Abstract
BACKGROUND The progression of colorectal cancer (CRC) has been linked to metabolism alteration. Because insulin resistance (IR) is the basic mechanism of metabolism alteration, IR related indicators are considered to be associated with prognostic of CRC. In this study, we compared the prognostic values of common IR related indicators for CRC and selected the best one. Moreover, we explored the association between that indicator and CRC prognosis and possible interactive covariates. METHODS Medical records of patients with CRC (n = 1765) were retrieved from the Investigation on Nutrition Status and Clinical Outcome of Common Cancers (INSCOC) study. We compared the prognostic values of IR related indicators and select the best one using concordance index (C-index) and area under curve (AUC). Using Cox proportional hazard regression models, we evaluated the association between that indicator and CRC prognosis. Interaction tests were performed to evaluate possible interactions among covariates and the IR related indicator. RESULTS Results of C-index and AUC indicated that the ratio of low-density lipoprotein-to-high-density lipoprotein (LHR) showed the highest ability to predict the prognosis of patients with CRC. LHR independently predicted CRC prognosis [hazard ratio (HR) = 1.14; 95 % confidence interval (CI) = 1.05-1.22; P = 0.001]. The interactions between LHR, and age (<65 vs. ≥65; P for interaction = 0.001) or neutrocyte-to-lymphocyte ratio (NLR) (<3 vs. ≥3; P for interaction = 0.055) were also observed. CONCLUSION LHR was found to be the best IR related indicators to predict prognosis of CRC, and it was negatively correlated with the prognosis of patients with CRC. NLR and aging might interact with LHR.
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Affiliation(s)
- Ming Yang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing 100053, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing 100038, China; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing 100038, China
| | - Qi Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing 100053, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing 100038, China; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing 100038, China
| | - Yi-Zhong Ge
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing 100053, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing 100038, China; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing 100038, China; The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou 325000, China
| | - Meng Tang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing 100053, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing 100038, China; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing 100038, China
| | - Xi Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing 100053, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing 100038, China; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing 100038, China
| | - Meng-Meng Song
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing 100053, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing 100038, China; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing 100038, China
| | - Guo-Tian Ruan
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing 100053, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing 100038, China; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing 100038, China
| | - Xiao-Wei Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing 100053, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing 100038, China; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing 100038, China
| | - Kang-Ping Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing 100053, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing 100038, China; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing 100038, China
| | - Han-Ping Shi
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing 100053, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing 100038, China; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing 100038, China.
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Liu T, Liu CA, Zhang QS, Zhang Q, Wang YM, Song MM, Lin SQ, Deng L, Wu SL, Shi HP. Association of the age of onset of metabolic syndrome with the risk of all cancer types. Diabetes Metab Syndr 2023; 17:102896. [PMID: 37913630 DOI: 10.1016/j.dsx.2023.102896] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 10/17/2023] [Accepted: 10/19/2023] [Indexed: 11/03/2023]
Abstract
BACKGROUND The association between the age at onset of metabolic syndrome and cancer risk remains unknown. This study explored the association between age at metabolic syndrome onset and the risk of overall and site-specific cancer incidence. METHODS This study included 31,688 participants with new-onset metabolic syndrome and 31,688 participants matched according to sex, age (±1 y), and examination year among the 179,328 participants who underwent Kailuan health examinations from 2006 to 2017 in Tangshan, China. Weighted Cox regression was used to calculate the hazard ratios and 95% confidence intervals of new-onset metabolic syndrome for overall and site-specific cancer incidence across age groups. Population-attributable risk proportions were used to estimate the number of cases that could be prevented by eliminating the risk factors from the population. RESULTS During an average follow-up period of 10.22 y, we identified 2,710 cases of cancer and 4,218 deaths that occurred before the diagnosis of cancer. With an increase in metabolic syndrome onset age, the hazards of overall cancer incidence were gradually attenuated. The average hazard ratios (95% confidence intervals) of overall cancer were 1.94 (1.25-2.99) for metabolic syndrome onset age <45 year old, 1.41 (1.15-1.71) for age 45-54 years old, 1.38 (1.11-1.73) for age 55-64 years old, and 1.07 (0.89-1.28) for age ≥65 years old, respectively (p for interaction = 0.005). Similar results were obtained for colorectal, liver, and breast cancers in the site-specific analysis. CONCLUSIONS New-onset metabolic syndrome was associated with a higher risk of overall cancer and incidence of several types of cancer, and the associations were stronger with a younger age of onset. TRIAL REGISTRATION Kailuan Study, ChiCTR2000029767 (Registered February 12, 2020, https://www.chictr.org.cn/showprojEN.html?proj=48316).
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Affiliation(s)
- Tong Liu
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China; Laboratory for Clinical Medicine, Capital Medical University, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Chen-An Liu
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China; Laboratory for Clinical Medicine, Capital Medical University, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Qing-Song Zhang
- Department of General Surgery, Kailuan General Hospital, Tangshan, 063000, China
| | - Qi Zhang
- Department of Genetics, Yale School of Medicine, New Haven, CT, 06510, USA
| | - Yi-Ming Wang
- Department of Hepatobiliary Surgery, Kailuan General Hospital, Tangshan, 063000, China
| | - Meng-Meng Song
- Cardiovascular Research Institute, University of California, San Francisco, CA, 94158, USA
| | - Shi-Qi Lin
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China; Laboratory for Clinical Medicine, Capital Medical University, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Li Deng
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China; Laboratory for Clinical Medicine, Capital Medical University, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China.
| | - Shou-Ling Wu
- Department of Cardiology, Kailuan General Hospital, Tangshan, 063000, China.
| | - Han-Ping Shi
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China; Laboratory for Clinical Medicine, Capital Medical University, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China.
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Zhang FM, Wu HF, Shi HP, Yu Z, Zhuang CL. Sarcopenia and malignancies: epidemiology, clinical classification and implications. Ageing Res Rev 2023; 91:102057. [PMID: 37666432 DOI: 10.1016/j.arr.2023.102057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 08/15/2023] [Accepted: 08/31/2023] [Indexed: 09/06/2023]
Abstract
Sarcopenia is a progressive systemic skeletal muscle disorder characterized by a pathological decline in muscle strength, quantity, and quality, which frequently affects the elderly population. The majority of cancer patients are of advanced age. Patients may already have sarcopenia prior to cancer development, and those with cancer are prone to developing sarcopenia due to hypercatabolism, inflammation, reduced physical fitness, anorexia, adverse effects, and stress associated with anticancer therapy. Based on the timing, sarcopenia in patients with cancer can be categorized into three: pre-existing sarcopenia before the onset of cancer, sarcopenia related to cancer, and sarcopenia related to cancer treatment. Sarcopenia not only changes the body composition of patients with cancer but also increases the incidence of postoperative complications, reduces therapeutic efficacy, impairs quality of life, and results in shortened survival. Different therapeutic strategies are required to match the cancer status and physical condition of patients with different etiologies and stages of sarcopenia. Here, we present a comprehensive review of the epidemiology and diagnosis of sarcopenia in patients with cancer, elucidate the complex interactions between cancer and sarcopenia, and provide evidence-based strategies for sarcopenia management in these patients.
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Affiliation(s)
- Feng-Min Zhang
- Colorectal Cancer Center/Department of Gastrointestinal Surgery, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Hao-Fan Wu
- Colorectal Cancer Center/Department of Gastrointestinal Surgery, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Han-Ping Shi
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University/ Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Zhen Yu
- Colorectal Cancer Center/Department of Gastrointestinal Surgery, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Cheng-Le Zhuang
- Colorectal Cancer Center/Department of Gastrointestinal Surgery, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
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19
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Zhang FM, Song CH, Guo ZQ, Yu Z, Weng M, Zhou FX, Liu M, Cong MH, Li T, Li ZN, Chen JQ, Cui JW, Xu HX, Li W, Shi HP, Zhuang CL. Sarcopenia prevalence in patients with cancer and association with adverse prognosis: A nationwide survey on common cancers. Nutrition 2023; 114:112107. [PMID: 37356170 DOI: 10.1016/j.nut.2023.112107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Revised: 05/09/2023] [Accepted: 05/24/2023] [Indexed: 06/27/2023]
Abstract
OBJECTIVE Although previous studies have implicated the negative outcomes of sarcopenia, evidence is limited to one or a few types of cancer. The aim of this study was to evaluate the distribution and influencing factors of sarcopenia, and explore the relationship between sarcopenia and cancer prognosis in a large oncological population. METHODS This observational cohort study included patients diagnosed with malignant cancer between May 2011 and January 2019. Hematologic and anthropometric parameters were collected prospectively. Low skeletal muscle mass and radiodensity were diagnosed using clinical indicators, according to the two prediction models. The importance of potential risk factors for sarcopenia was estimated by subtracting the predicted degrees of freedom from the partial χ2 statistic. Hazard rates of death were calculated using the hazard function and Cox regression analyses. RESULTS We included 13 761 patients with cancer; the prevalence of sarcopenia was 33%. The median age was 58 y and 7135 patients (52%) were men. Patients with sarcopenia had a worse nutritional status and quality of life than those without sarcopenia. Age was the most important risk factor for sarcopenia compared with body mass index or TNM stage. Additionally, patients with sarcopenia had a significantly higher and earlier peak risk for mortality. After adjusting for baseline characteristics, sarcopenia was independently associated with mortality in the research population (hazard ratio, 1.429; P < 0.001) and most cancer types. CONCLUSION Age is the most important risk factor for sarcopenia even in patients with cancer. Sarcopenia is strongly associated with a poor quality of life and reduced overall survival.
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Affiliation(s)
- Feng-Min Zhang
- Colorectal Cancer Center/Department of Gastrointestinal Surgery, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China
| | - Chun-Hua Song
- College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Zeng-Qing Guo
- Department of Medical Oncology, Fujian Provincial Cancer Hospital, Fujian Medical University Cancer Hospital, Fuzhou, China
| | - Zhen Yu
- Colorectal Cancer Center/Department of Gastrointestinal Surgery, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China
| | - Min Weng
- Department of Nutrition, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Fu-Xiang Zhou
- Department of Oncology, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan, China
| | - Ming Liu
- General Surgery Department, The Second Affiliated Hospital, Harbin Medical University, Harbin, Heilongjiang, China
| | - Ming-Hua Cong
- Comprehensive Oncology Department, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Tao Li
- Department of Radiotherapy, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Zeng-Ning Li
- Department of Nutrition, the First Affiliated Hospital of Hebei Medical University, Shijiazhuang, China
| | - Jun-Qiang Chen
- Department of Gastrointestinal Surgery, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Jiu-Wei Cui
- Cancer Center, the First Hospital, Jilin University, Changchun, China
| | - Hong-Xia Xu
- Department of Nutrition, Daping Hospital, Army Medical University, Chongqing, China
| | - Wei Li
- Cancer Center, the First Hospital, Jilin University, Changchun, China
| | - Han-Ping Shi
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University/ Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China.
| | - Cheng-Le Zhuang
- Colorectal Cancer Center/Department of Gastrointestinal Surgery, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
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20
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Zheng X, Ge YZ, Ruan GT, Lin SQ, Chen Y, Liu CA, Xie HL, Song MM, Liu T, Wang ZW, Shi JY, Zhang HY, Yang M, Liu XY, Deng L, Shi HP. Association between the Dietary Inflammatory Index and All-Cause Mortality in Adults with Obesity. Ann Nutr Metab 2023; 79:434-447. [PMID: 37690445 DOI: 10.1159/000533380] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Accepted: 08/02/2023] [Indexed: 09/12/2023]
Abstract
INTRODUCTION The dietary inflammatory index (DII) is associated with numerous chronic noncommunicable diseases. Previous studies have shown that the pro-inflammatory DII categories are associated with abdominal and simple obesity. However, the association between DII and mortality in patients with abdominal obesity and simple overweight or obesity remains unclear. METHODS We used data from the US National Health and Nutrition Examination Survey (NHANES) from 2007 to 2018. A DII >0 (positive DII) was defined as a pro-inflammatory diet. A restricted cubic spline curve was used to describe the trend between DII and all-cause mortality. We then examined the association between DII and all-cause mortality in different body types using a Cox regression analysis and investigated the differences between sexes. Finally, the mediating effects of systemic inflammation were explored. RESULTS A pro-inflammatory diet increased all-cause mortality in adults with abdominal obesity (aHR: 1.31, 95% confidence interval [CI]: 1.11-1.54; p < 0.001) and with simple overweight or obesity (aHR: 1.30, 95% CI: 1.11-1.53; p < 0.001). In addition, the most pro-inflammatory DII increased the risk of mortality by 43% (hazard ratio [HR]: Q4 vs. Q1 = 1.43, 95% CI = 1.14-1.79; p = 0.002; p for trend = 0.003) and 39% (HR: Q4 vs. Q1 = 1.39, 95% CI = 1.13-1.74; p = 0.003; p for trend = 0.009) in participants with abdominal obesity and with simple overweight or obesity, respectively. However, this association was not present in normal-sized participants. Compared with men, women resisted the effects of a pro-inflammatory diet. Mediation analysis showed that white blood cell and neutrophil were mediators of the association between DII and all-cause mortality (p < 0.001). CONCLUSION A pro-inflammatory diet is associated with all-cause mortality in adults with abdominal obesity and simple overweight or obesity, and this effect differs between men and women. Systemic inflammation may mediate the association between DII and all-cause mortality.
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Affiliation(s)
- Xin Zheng
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Yi-Zhong Ge
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China
| | - Guo-Tian Ruan
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Shi-Qi Lin
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China
| | - Yue Chen
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China
| | - Chen-An Liu
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Hai-Lun Xie
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Meng-Meng Song
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Tong Liu
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Zi-Wen Wang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Jin-Yu Shi
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - He-Yang Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Ming Yang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Xiao-Yue Liu
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Li Deng
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Han-Ping Shi
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
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Liu XY, Zhang X, Zhang Q, Ruan GT, Liu T, Xie HL, Ge YZ, Song MM, Deng L, Shi HP. The value of CRP-albumin-lymphocyte index (CALLY index) as a prognostic biomarker in patients with non-small cell lung cancer. Support Care Cancer 2023; 31:533. [PMID: 37610445 DOI: 10.1007/s00520-023-07997-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Accepted: 08/14/2023] [Indexed: 08/24/2023]
Abstract
OBJECTIVE The C-reactive protein-albumin-lymphocyte (CALLY) index is a new index related to inflammation, immunity, and nutrition. We investigated whether it can predict the prognosis of patients with non-small cell lung cancer (NSCLC) and developed a prognostic model including CALLY index. RESEARCH METHODS AND PROCEDURES Data from patients with NSCLC who were followed up in the INSCOC database from May 2013 to December 2018 were retrospectively analyzed. Simple random sampling by splitting these patients into training (n = 1307) and validation cohorts (n = 557) resulted in a sample size ratio of 7:3. Using the results of COX regression analysis of the training cohort, a nomogram model for predicting 3- and 5-year overall survival (OS) was established and validated internally. The calibration and clinical decision curve were used to evaluate the prediction accuracy and clinical application ability of the nomogram and compared with the TNM staging system for lung cancer. RESULTS Sex, TNM stage, surgical treatment, BMI, CALLY, and HGS were independent risk factors for the prognosis of NSCLC patients. The OS of NSCLC patients with a low CALLY index score was significantly worse than that of patients with a high CALLY index (P < 0.001). The CALLY-based nomogram had a good predictive prognostic power, with a C-index of 0.697. Compared with the traditional TNM staging system, our prognostic nomogram had better resolution and accuracy in predicting the 3-year and 5-year OS. Decision curve analysis showed that this prognostic model has a clinical application value. CONCLUSIONS The CALLY index is a valuable biomarker for evaluating the prognosis of patients with lung cancer. The nomogram based on the CALLY index is highly effective in predicting OS in patients with NSCLC. The results of this study provide a reference tool for clinicians to guide the personalized treatment of patients with lung cancer.
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Affiliation(s)
- Xiao-Yue Liu
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China
| | - Xi Zhang
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China
| | - Qi Zhang
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China
| | - Guo-Tian Ruan
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China
| | - Tong Liu
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China
| | - Hai-Lun Xie
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China
| | - Yi-Zhong Ge
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China
| | - Meng-Meng Song
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China
| | - Li Deng
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China
| | - Han-Ping Shi
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China.
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China.
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22
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Ge YZ, Fu ZM, Zhang Q, Song MM, Ruan GT, Zhang X, Zhang XW, Li XR, Zhang KP, Tang M, Liu XY, Yang M, Liu T, Xie HL, Zhang HY, Wang ZW, Hu CL, Lin SQ, Zhang R, Xu HX, Li W, Song CH, Liu M, Chen JQ, Wang KH, Bo L, Cong MH, Li ZN, Guo ZQ, Wang XB, Wang BY, Xu B, Qin XH, Xu XP, Barazzoni R, Yao QH, Weng M, Shen X, Shi HP. AIWW: a new nutrition-screening tool for the oncologic population. Sci China Life Sci 2023; 66:1831-1840. [PMID: 37121939 DOI: 10.1007/s11427-022-2292-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Accepted: 02/09/2023] [Indexed: 05/02/2023]
Abstract
Malnutrition is a common comorbidity among patients with cancer. However, no nutrition-screening tool has been recognized in this population. A quick and easy screening tool for nutrition with high sensitivity and easy-to-use is needed. Based on the previous 25 nutrition-screening tools, the Delphi method was made by the members of the Chinese Society of Nutritional Oncology to choose the most useful item from each category. According to these results, we built a nutrition-screening tool named age, intake, weight, and walking (AIWW). Malnutrition was defined based on the scored patient-generated subjective global assessment (PG-SGA). Concurrent validity was evaluated using the Kendall tau coefficient and kappa consistency between the malnutrition risks of AIWW, nutritional risk screening 2002 (NRS-2002), and malnutrition screening tool (MST). Clinical benefit was calculated by the decision curve analysis (DCA), integrated discrimination improvement (IDI), and continuous net reclassification improvement (cNRI). A total of 11,360 patients (male, n=6,024 (53.0%) were included in the final study cohort, and 6,363 patients had malnutrition based on PG-SGA. Based on AIWW, NRS-2002, and MST, 7,545, 3,469, and 1,840 patients were at risk of malnutrition, respectively. The sensitivities of AIWW, NRS-2002, and MST risks were 0.910, 0.531, and 0.285, and the specificities were 0.768, 0.946, and 0.975. The Kendall tau coefficients of AIWW, NRS-2002, and MST risks were 0.588, 0.501, and 0.326, respectively. The area under the curve of AIWW, NRS-2002, and MST risks were 0.785, 0.739, and 0.630, respectively. The IDI, cNRI, and DCA showed that AIWW is non-inferior to NRS-2002 (IDI: 0.002 (-0.009, 0.013), cNRI: -0.015 (-0.049, 0.020)). AIWW scores can also predict the survival of patients with cancer. The missed diagnosis rates of AIWW, NRS-2002, and MST were 0.09%, 49.0%, and 73.2%, respectively. AIWW showed a better nutrition-screening effect than NRS-2002 and MST for patients with cancer and could be recommended as an alternative nutrition-screening tool for this population.
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Affiliation(s)
- Yi-Zhong Ge
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, 325000, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Zhen-Ming Fu
- Cancer Center, Renmin Hospital of Wuhan University, Wuhan, 430060, China
| | - Qi Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
- Department of Colorectal Surgery, Cancer Hospital of University of Chinese Academy of Sciences, Zhejiang Cancer Hospital, Hangzhou, 310022, China
| | - Meng-Meng Song
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Guo-Tian Ruan
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Xi Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Xiao-Wei Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Xiang-Rui Li
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Kang-Ping Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Meng Tang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Xiao-Yue Liu
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Ming Yang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Tong Liu
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Hai-Lun Xie
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - He-Yang Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Zi-Wen Wang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Chun-Lei Hu
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Shi-Qi Lin
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, 325000, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Rui Zhang
- Cancer Center, Renmin Hospital of Wuhan University, Wuhan, 430060, China
| | - Hong-Xia Xu
- Department of Clinical Nutrition, Daping Hospital, Army Medical University (Third Military Medical University), Chongqing, 400042, China
| | - Wei Li
- Cancer Center of the First Hospital of Jilin University, Changchun, 130021, China
| | - Chun-Hua Song
- Department of Epidemiology, College of Public Health, Zhengzhou University, 450001, Zhengzhou, China
| | - Ming Liu
- Department of Colorectal Surgery, the Second Affiliated Hospital of Harbin Medical University, Harbin, 150081, China
| | - Jun-Qiang Chen
- Department of Gastrointestinal Surgery, First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, China
| | - Kun-Hua Wang
- Yunnan University, Kunming, 650091, China
- General Surgery Clinical Medical Center of Yunnan Province, Kunming, 650032, China
| | - Li Bo
- Affiliated Hospital of Yunnan University, Kunming, 650091, China
| | - Ming-Hua Cong
- Comprehensive Oncology Department, Cancer Hospital, Chinese Academy of Medical Sciences, Beijing, 100021, China
| | - Zeng-Ning Li
- Department of Clinical Nutrition, The First Hospital of Hebei Medical University, Shijiazhuang, 050031, China
| | - Zeng-Qin Guo
- Department of Medical Oncology, Fujian Cancer Hospital, Fujian Medical University Cancer Hospital, Fuzhou, 350014, China
| | - Xiao-Bin Wang
- Department of Population, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, 21228, USA
| | - Bin-Yan Wang
- Shenzhen Evergreen Medical Institute, Shenzhen, 518052, China
| | - Benjamin Xu
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA
| | - Xian-Hui Qin
- National Clinical Research Center for Kidney Disease, State Key Laboratory for Organ Failure Research, Renal Division, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - Xi-Ping Xu
- National Clinical Research Center for Kidney Disease, State Key Laboratory for Organ Failure Research, Renal Division, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, 100193, China
| | - Rocco Barazzoni
- Department of Medical, Surgical and Health Sciences, University of Trieste, Trieste, 34127, Italy
| | - Qing-Hua Yao
- Department of Integrated Chinese and Western Medicine, Cancer Hospital of University of Chinese Academy of Sciences, Zhejiang Cancer Hospital, Hangzhou, 310022, China
| | - Min Weng
- Department of Clinical Nutrition, The First Affiliated Hospital of Kunming Medical University, Kunming, 650091, China
| | - Xian Shen
- Department of Gastrointestinal Surgery, the Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China
| | - Han-Ping Shi
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.
- The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, 325000, China.
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China.
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China.
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23
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Zhang XW, Ge YZ, Song MM, Ruan GT, Xie HL, Hu CL, Shi HP. Prognostic Power of Nutrition-Inflammation Indicators in Patients With Breast Cancer. Clin Breast Cancer 2023:S1526-8209(23)00095-2. [PMID: 37236827 DOI: 10.1016/j.clbc.2023.04.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 03/13/2023] [Accepted: 04/29/2023] [Indexed: 05/28/2023]
Abstract
BACKGROUND Inflammation and nutritional statuses are closely related to the survival of patients with cancer. Breast cancer is the one with low level of inflammation and low risk of malnutrition. Does inflammation burden and nutrition status affect the prognosis of patients with breast cancer? METHODS Totally 1158 patients with breast cancer from Nutrition Status and its Clinical Outcome of Common Cancers study were included, 15 nutrition-inflammation indicators (NIIs) from literatures were adopted in this study. Area under the curve and C-index were used to compare the predictive value of 15 NIIs in overall patients and subgroup in different menstrual statuses. RESULTS Nutrition status indicators prognostic nutritional index, controlling nutritional status score, glucose-to-lymphocyte ratio among 15 NIIs were found to be significantly associated with prognosis of breast cancer, and remained stable in patients in different menstrual statuses. The C-index of inflammation indicators lymphocyte-to-C-reactive protein ratio, lymphocyte-C-reactive protein ratio score, and C-reaction protein (CRP) increased with age, but the predictive value of 3 inflammation indicators did not exceed the value of nutritional indicators throughout the whole life of patients with breast cancer. CONCLUSIONS Prognostic nutritional index, controlling nutritional status score, glucose-to-lymphocyte ratio had better predictive value for the survival of patients with breast cancer. Nutritional indicators surpassed inflammation indicators in prognostic ability for patients in different menstrual statuses. These results provide an important insight for the care of patients with breast cancer.
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Affiliation(s)
- Xiao-Wei Zhang
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Yi-Zhong Ge
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Meng-Meng Song
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Guo-Tian Ruan
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Hai-Lun Xie
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Chun-Lei Hu
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Han-Ping Shi
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China.
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24
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Liu XY, Zhang X, Zhang Q, Ruan GT, Xie HL, Liu T, Song MM, Ge YZ, Deng L, Shi HP. Lymphocyte-C-reactive protein ratio with calf circumference could better predict survival of patients with non-metastatic cancer. Sci Rep 2023; 13:7217. [PMID: 37137949 PMCID: PMC10156854 DOI: 10.1038/s41598-023-34096-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Accepted: 04/24/2023] [Indexed: 05/05/2023] Open
Abstract
Systemic inflammatory responses caused by tumor cells play an important role in the occurrence and development of tumors. The aim of this study was to identify biomarkers that most accurately predict prognoses in patients with non-metastatic cancer and to evaluate their clinical significance when combined with muscle markers. This study retrospectively evaluated 2,797 cancer patients diagnosed with cancer at TNM stages I, II, and III. Lymphocyte-C-reactive protein ratio (LCR) in conjunction with calf circumference (CC) were used (or chosed) after evaluating the predictive value of 13 inflammatory marker combinations and five anthropometric indicators for patient outcomes using the C-index. The Kaplan-Meier method and Cox's proportional hazards regression modeling were used to analyze the individual and combined effects of these two potential biomarkers on overall survival. This study enrolled 1,604 men (57.3%) and 1,193 women (42.7%) with a mean age of 58.75 years. Among the 13 inflammatory nutritional indicators, the LCR was the most accurate predictor of prognoses in patients with non-metastatic cancer. After multifactorial adjustment, we found that low LCR had an adverse effect on overall survival (hazard ratio [HR]: 2.50; 95% confidence interval [CI]: 2.17, 2.88; P < 0.001). Low LCR combined with low CC was also shown to be an independent risk factor for poor overall survival (HR: 2.26; 95% CI: 1.80, 2.83; P < 0.001). Compared with LCR or CC alone, the combination of the two had greater prognostic value for patients with non-metastatic cancer. The LCR can be implemented as a useful biomarker to predict prognoses in patients with non-metastatic cancer. CC is the best anthropometric indicator of muscle loss in patients with non-metastatic cancer. The combination of LCR and CC can better predict the prognosis of patients with non-metastatic cancer, and can provide important information for clinicians to formulate diagnosis and treatment plans.
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Affiliation(s)
- Xiao-Yue Liu
- Departments of Gastrointestinal Surgery and Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Xi Zhang
- Departments of Gastrointestinal Surgery and Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- Department of Radiotherapy, Affiliated Hospital of Hebei University, Baoding, China
| | - Qi Zhang
- Departments of Gastrointestinal Surgery and Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Guo-Tian Ruan
- Departments of Gastrointestinal Surgery and Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Hai-Lun Xie
- Departments of Gastrointestinal Surgery and Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Tong Liu
- Departments of Gastrointestinal Surgery and Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Meng-Meng Song
- Departments of Gastrointestinal Surgery and Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Yi-Zhong Ge
- Departments of Gastrointestinal Surgery and Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Li Deng
- Departments of Gastrointestinal Surgery and Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China.
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China.
| | - Han-Ping Shi
- Departments of Gastrointestinal Surgery and Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China.
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China.
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25
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Liu CA, Liu T, Li HC, Song MM, Ge YZ, Ruan GT, Deng L, Zhang Q, Xie HL, Lin SQ, Shi JY, Shi HP. Nutrition impact symptoms: Noteworthy prognostic indicators for lung cancer. Clin Nutr 2023; 42:550-558. [PMID: 36863291 DOI: 10.1016/j.clnu.2023.02.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 02/19/2023] [Accepted: 02/21/2023] [Indexed: 02/26/2023]
Abstract
BACKGROUND Nutrition impact symptoms (NIS) in head and neck cancer are well-studied and are found to be heavy contributors of poor outcome. However, the prevalence and role of NIS in other cancer are less addressed. In this study, we investigated the incidence and prognostic role of NIS in patients with lung cancer. METHODS NIS, evaluated by patient-generated subjective global assessment (PG-SGA) in a multicenter real-world prospective study, included loss of appetite, nausea, vomiting, mouth ulcer, constipation, diarrhea, dry mouth, taste change, altered smell, dysphagia, early satiety, and pain. The endpoints were the patients' overall survival (OS) and quality of life (QoL). The COX analysis was used to investigate the relationship between NIS and OS. Interaction analysis and mediation analysis were performed to determine the modifiers and mediator. RESULTS 3634 patients with lung cancer were enrolled in this study, of which 1533 patients had NIS. During the average follow-up of 22.65 months, 1875 deaths occurred. The OS of patients with lung cancer with NIS was lower than that of patients without NIS. NIS (HR, 1.181, 95% CI, 1.073-1.748), loss of appetite (HR, 1.266, 95% CI, 1.137-1.409), vomiting (HR, 1.282, 95% CI, 1.053-1.561), and dysphagia (HR, 1.401, 95% CI, 1.079-1.819) were independent prognostic factors in patients with lung cancer. There were interactions between chemotherapy and primary tumor on NIS . In the relationship between different types of NIS (NIS, loss of appetite, vomiting, dysphagia) and prognosis, the mediating effects of inflammation accounted for 15.76%, 16.49%, 26.32%, and 18.13%, respectively. Meanwhile, these three NIS were closely associated with the occurrence of severe malnutrition and cancer cachexia. CONCLUSIONS 42% patients with lung cancer experienced different types of NIS. NIS were independent indicators of malnutrition, cancer cachexia and shorter OS, and closely related to QoL. NIS management is of clinical significance.
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Affiliation(s)
- Chen-An Liu
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China
| | - Tong Liu
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China
| | - Hui-Chen Li
- Department of Colorectal Surgery, Tianjin Union Medical Center, Tianjin, 300121, China; Tianjin Institute of Coloproctology, Tianjin, 300121, China
| | - Meng-Meng Song
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China
| | - Yi-Zhong Ge
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China
| | - Guo-Tian Ruan
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China
| | - Li Deng
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China
| | - Qi Zhang
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China; Department of Colorectal Surgery, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Hangzhou, Zhejiang, 310022, China
| | - Hai-Lun Xie
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China
| | - Shi-Qi Lin
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China
| | - Jin-Yu Shi
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China
| | - Han-Ping Shi
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China; National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China; Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China; Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China.
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26
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Yang M, Lin SQ, Liu XY, Tang M, Hu CL, Wang ZW, Zhang Q, Zhang X, Song MM, Ruan GT, Zhang XW, Liu T, Xie HL, Zhang HY, Liu CA, Zhang KP, Li QQ, Li XR, Ge YZ, Liu YY, Chen Y, Zheng X, Shi HP. Association between C-reactive protein-albumin-lymphocyte (CALLY) index and overall survival in patients with colorectal cancer: From the investigation on nutrition status and clinical outcome of common cancers study. Front Immunol 2023; 14:1131496. [PMID: 37063910 PMCID: PMC10098202 DOI: 10.3389/fimmu.2023.1131496] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2022] [Accepted: 03/20/2023] [Indexed: 04/01/2023] Open
Abstract
BackgroundColorectal cancer (CRC) is among the most common malignant cancers worldwide, and its development is influenced by inflammation, nutrition, and the immune status. Therefore, we combined C-reactive protein (CRP), albumin, and lymphocyte, which could reflect above status, to be the CRP-albumin-lymphocyte (CALLY) index, and evaluated its association with overall survival (OS) in patients with CRC.MethodsThe clinicopathological and laboratory characteristics of 1260 patients with CRC were collected from the Investigation on Nutrition Status and Clinical Outcome of Common Cancers (INSCOC) study. Cox regression analysis was performed to assess the association between the CALLY index and OS. A nomogram including sex, age, the CALLY index and TNM stage was constructed. The Concordance Index (C-index) was utilized to evaluate the prognostic value of the CALLY index and classical CRC prognostic factors, such as modified Glasgow prognostic score (mGPS), neutrocyte to lymphocyte ratio (NLR), systemic immune inflammation index (SII), and platelet to lymphocyte ratio (PLR), as well as to assess the prognostic value of the nomogram and TNM stage.ResultsMultivariate Cox regression analyses demonstrated that the CALLY index was independently associated with OS in patients with CRC [Hazard ratio (HR) = 0.91, 95% confidence interval (CI) = 0.87-0.95, P<0.001]. The CALLY index showed the highest prognostic value (C-index = 0.666, 95% CI = 0.638-0.694, P<0.001), followed by mGPS, NLR, SII, and PLR. The nomogram demonstrated higher prognostic value (C-index = 0.784, 95% CI = 0.762-0.807, P<0.001) than the TNM stage.ConclusionThe CALLY index was independently associated with OS in patients with CRC and showed higher prognostic value than classical CRC prognostic factors. The nomogram could provide more accurate prognostic prediction than TNM stage.
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Affiliation(s)
- Ming Yang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Foods for Special Medical Purpose (FSMP) for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
| | - Shi-Qi Lin
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Foods for Special Medical Purpose (FSMP) for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou, China
| | - Xiao-Yue Liu
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Foods for Special Medical Purpose (FSMP) for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
| | - Meng Tang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Foods for Special Medical Purpose (FSMP) for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
| | - Chun-Lei Hu
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Foods for Special Medical Purpose (FSMP) for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
| | - Zi-Wen Wang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Foods for Special Medical Purpose (FSMP) for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
| | - Qi Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Foods for Special Medical Purpose (FSMP) for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
| | - Xi Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Foods for Special Medical Purpose (FSMP) for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
| | - Meng-Meng Song
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Foods for Special Medical Purpose (FSMP) for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
| | - Guo-Tian Ruan
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Foods for Special Medical Purpose (FSMP) for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
| | - Xiao-Wei Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Foods for Special Medical Purpose (FSMP) for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
| | - Tong Liu
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Foods for Special Medical Purpose (FSMP) for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
| | - Hai-Lun Xie
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Foods for Special Medical Purpose (FSMP) for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
| | - He-Yang Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Foods for Special Medical Purpose (FSMP) for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
| | - Chen-An Liu
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Foods for Special Medical Purpose (FSMP) for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
| | - Kang-Ping Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Foods for Special Medical Purpose (FSMP) for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
| | - Qin-Qin Li
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Foods for Special Medical Purpose (FSMP) for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
| | - Xiang-Rui Li
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Foods for Special Medical Purpose (FSMP) for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
| | - Yi-Zhong Ge
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Foods for Special Medical Purpose (FSMP) for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou, China
| | - Yu-Ying Liu
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Foods for Special Medical Purpose (FSMP) for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
| | - Yue Chen
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Foods for Special Medical Purpose (FSMP) for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou, China
| | - Xin Zheng
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Foods for Special Medical Purpose (FSMP) for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
| | - Han-Ping Shi
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Foods for Special Medical Purpose (FSMP) for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- *Correspondence: Han-Ping Shi,
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27
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Ruan GT, Xie HL, Hu CL, Liu CA, Zhang HY, Zhang Q, Wang ZW, Zhang X, Ge YZ, Lin SQ, Tang M, Song MM, Zhang XW, Liu XY, Zhang KP, Yang M, Yu KY, Wang KH, Hu W, Deng L, Cong MH, Shi HP. Comprehensive prognostic effects of systemic inflammation and Insulin resistance in women with breast cancer with different BMI: a prospective multicenter cohort. Sci Rep 2023; 13:4303. [PMID: 36922570 PMCID: PMC10017691 DOI: 10.1038/s41598-023-31450-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Accepted: 03/11/2023] [Indexed: 03/17/2023] Open
Abstract
To investigate the prognostic value of systemic inflammation and insulin resistance in women with breast cancer with different body mass index (BMI). This multicenter, prospective study included 514 women with breast cancer. Multivariate survival analysis showed that patients with high C-reactive protein (CRP), high CRP to albumin ratio (CAR), high lymphocyte to CRP ratio (LCR), high low-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (LHR), and high triglyceride to high-density lipoprotein cholesterol ratio (TG/HDL-c) were significantly associated with worse prognosis. The mortality rate of patients with both high CAR and high LHR or both low LCR and high LHR were 3.91-fold or 3.89-fold higher than patients with both low CAR and low LHR or both high LCR and low LHR, respectively. Furthermore, the combination of LCR and LHR significantly predicted survival in patients within the high BMI group. The CRP, CAR, LCR, LHR, and TG/HDL-c were associated with poor survival in women with breast cancer. The combination of CAR and LHR or LCR and LHR could better predict the prognostic outcomes of women with breast cancer, while the combination of LCR and LHR could better predict the prognosis of those patients with overweight or obese patients.
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Affiliation(s)
- Guo-Tian Ruan
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
| | - Hai-Lun Xie
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
| | - Chun-Lei Hu
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
| | - Chen-An Liu
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
| | - He-Yang Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
| | - Qi Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
| | - Zi-Wen Wang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
| | - Xi Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
| | - Yi-Zhong Ge
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
| | - Shi-Qi Lin
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
| | - Meng Tang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
| | - Meng-Meng Song
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
| | - Xiao-Wei Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
| | - Xiao-Yue Liu
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
| | - Kang-Ping Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
| | - Ming Yang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
| | - Kai-Ying Yu
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
| | - Kun-Hua Wang
- Yunnan University, Kunming, 650091, China.,General Surgery Clinical Medical Center of Yunnan Province, Kunming, 650032, China
| | - Wen Hu
- Clinical Nutrition Department, Sichuan University West China Hospital, Chengdu, 610041, Sichuan, China
| | - Li Deng
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China. .,National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China. .,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China.
| | - Ming-Hua Cong
- Comprehensive Oncology Department, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100038, China.
| | - Han-Ping Shi
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China. .,National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China. .,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China.
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28
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Xie HL, Ruan GT, Wei L, Zhang Q, Ge YZ, Song MM, Zhang X, Lin SQ, Liu XY, Zhang XW, Li XR, Zhang KP, Hu CL, Yang M, Tang M, Song CH, Cong MH, Weng M, Li ZN, Li W, Wang KH, Shi HP. The prognostic value of the combination of body composition and systemic inflammation in patients with cancer cachexia. J Cachexia Sarcopenia Muscle 2023; 14:879-890. [PMID: 36872512 PMCID: PMC10067477 DOI: 10.1002/jcsm.13205] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Revised: 11/17/2022] [Accepted: 02/06/2023] [Indexed: 03/07/2023] Open
Abstract
BACKGROUND Changes in body composition and systemic inflammation are important characteristics of cancer cachexia. This multi-centre retrospective study aimed to explore the prognostic value of the combination of body composition and systemic inflammation in patients with cancer cachexia. METHODS The modified advanced lung cancer inflammation index (mALI), which combines body composition and systemic inflammation, was defined as appendicular skeletal muscle index (ASMI) × serum albumin/neutrophil-lymphocyte ratio. The ASMI was estimated according to a previously validated anthropometric equation. Restricted cubic splines were used to evaluate the relationship between mALI and all-cause mortality in patients with cancer cachexia. Kaplan-Meier analysis and Cox proportional hazard regression analysis were used to evaluate the prognostic value of mALI in cancer cachexia. A receiver operator characteristic curve was used to compare the effectiveness of mALI and nutritional inflammatory indicators in predicting all-cause mortality in patients with cancer cachexia. RESULTS A total of 2438 patients with cancer cachexia were enrolled, including 1431 males and 1007 females. The sex-specific optimal cut-off values of mALI for males and females were 7.12 and 6.52, respectively. There was a non-linear relationship between mALI and all-cause mortality in patients with cancer cachexia. Low mALI was significantly associated with poor nutritional status, high tumour burden, and high inflammation. Patients with low mALI had significantly lower overall survival (OS) than those with high mALI (39.5% vs. 65.5%, P < 0.001). In the male population, OS was significantly lower in the low mALI group than in the high group (34.3% vs. 59.2%, P < 0.001). Similar results were also observed in the female population (46.3% vs. 75.0%, P < 0.001). mALI was an independent prognostic factor for patients with cancer cachexia (hazard ratio [HR] = 0.974, 95% confidence interval [CI] = 0.959-0.990, P = 0.001). For every standard deviation [SD] increase in mALI, the risk of poor prognosis for patients with cancer cachexia was reduced by 2.9% (HR = 0.971, 95%CI = 0.943-0.964, P < 0.001) in males and 8.9% (HR = 0.911, 95%CI = 0.893-0.930, P < 0.001) in females. mALI is an effective complement to the traditional Tumour, Lymph Nodes, Metastasis (TNM) staging system for prognosis evaluation and a promising nutritional inflammatory indicator with a better prognostic effect than the most commonly used clinical nutritional inflammatory indicators. CONCLUSIONS Low mALI is associated with poor survival in both male and female patients with cancer cachexia and is a practical and valuable prognostic assessment tool.
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Affiliation(s)
- Hai-Lun Xie
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Guo-Tian Ruan
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Lishuang Wei
- Department of Geriatric Respiratory Disease Ward, the First Affiliated Hospital, Guangxi Medical University, Nanning, China
| | - Qi Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Yi-Zhong Ge
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Meng-Meng Song
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Xi Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Shi-Qi Lin
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Xiao-Yue Liu
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Xiao-Wei Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Xiang-Rui Li
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Kang-Ping Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Chun-Lei Hu
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Ming Yang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Meng Tang
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Chun-Hua Song
- Department of Epidemiology, College of Public Health, Zhengzhou University, Zhenzhou, China
| | - Ming-Hua Cong
- General Department, Cancer Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Min Weng
- Department of Clinical Nutrition, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Zeng-Ning Li
- Department of Clinical Nutrition, The First Affiliated Hospital of Hebei Medical University, Shijiazhuang, China
| | - Wei Li
- Cancer Center, The First Hospital of Jilin University, Changchun, China
| | - Kun-Hua Wang
- Department of Surgery, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Han-Ping Shi
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
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Liu CA, Liu T, Ge YZ, Song MM, Ruan GT, Lin SQ, Xie HL, Shi JY, Zheng X, Chen Y, Shen L, Deng L, Shi HP. Muscle distribution in relation to all-cause and cause-specific mortality in young and middle-aged adults. J Transl Med 2023; 21:154. [PMID: 36841788 PMCID: PMC9960213 DOI: 10.1186/s12967-023-04008-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Accepted: 02/16/2023] [Indexed: 02/27/2023] Open
Abstract
BACKGROUND The relationship between muscle and prognosis, especially that between muscle distribution across different body parts, and the related prognosis is not well established. OBJECTIVE To investigate the relationship between muscle distribution and all-cause and cause-specific mortality and their potential modifiers. DESIGN Longitudinal cohort study. C-index, IDI, and NRI were used to determine the best indicator of prognosis. COX regression analysis was performed to explore the relationship between variables and outcomes. Interaction and subgroup analyses were applied to identify the potential modifiers. PARTICIPANTS A total of 5052 participants (weighted: 124,841,420) extracted from the NHANES 2003-2006 of median age 45 years and constituting 50.3% men were assessed. For validation, we included 3040 patients from the INSCOC cohort in China. MAIN MEASURES Muscle mass and distribution. KEY RESULTS: COX regression analysis revealed that upper limbs (HR = 0.41, 95% CI 0.33-0.51), lower limbs (HR = 0.54, 95% CI 0.47-0.64), trunk (HR = 0.71, 95% CI, 0.59-0.85), gynoid (HR = 0.47, 95% CI 0.38-0.58), and total lean mass (HR = 0.55, 95% CI 0.45-0.66) were all associated with the better survival of participants (P trend < 0.001). The changes in the lean mass ratio of the upper and lower limbs and the lean mass ratio of the android and gynoid attenuated the protective effect of lean mass. Age and sex acted as potential modifiers, and the relationship between lean mass and the prognosis was more significant in men and middle-aged participants when compared to that in other age groups. Sensitive analyses depicted that despite lean mass having a long-term impact on prognosis (15 years), it has a more substantial effect on near-term survival (5 years). CONCLUSION Muscle mass and its distribution affect the prognosis with a more significant impact on the near-term than that on the long-term prognosis. Age and sex acted as vital modifiers.
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Affiliation(s)
- Chen-An Liu
- grid.24696.3f0000 0004 0369 153XDepartment of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038 China ,grid.24696.3f0000 0004 0369 153XNational Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053 China ,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038 China ,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038 China
| | - Tong Liu
- grid.24696.3f0000 0004 0369 153XDepartment of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038 China ,grid.24696.3f0000 0004 0369 153XNational Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053 China ,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038 China ,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038 China
| | - Yi-Zhong Ge
- grid.24696.3f0000 0004 0369 153XDepartment of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038 China ,grid.24696.3f0000 0004 0369 153XNational Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053 China ,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038 China ,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038 China
| | - Meng-Meng Song
- grid.24696.3f0000 0004 0369 153XDepartment of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038 China ,grid.24696.3f0000 0004 0369 153XNational Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053 China ,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038 China ,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038 China
| | - Guo-Tian Ruan
- grid.24696.3f0000 0004 0369 153XDepartment of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038 China ,grid.24696.3f0000 0004 0369 153XNational Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053 China ,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038 China ,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038 China
| | - Shi-Qi Lin
- grid.24696.3f0000 0004 0369 153XDepartment of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038 China ,grid.24696.3f0000 0004 0369 153XNational Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053 China ,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038 China ,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038 China
| | - Hai-Lun Xie
- grid.24696.3f0000 0004 0369 153XDepartment of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038 China ,grid.24696.3f0000 0004 0369 153XNational Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053 China ,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038 China ,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038 China
| | - Jin-Yu Shi
- grid.24696.3f0000 0004 0369 153XDepartment of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038 China ,grid.24696.3f0000 0004 0369 153XNational Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053 China ,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038 China ,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038 China
| | - Xin Zheng
- grid.24696.3f0000 0004 0369 153XDepartment of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038 China ,grid.24696.3f0000 0004 0369 153XNational Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053 China ,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038 China ,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038 China
| | - Yue Chen
- grid.24696.3f0000 0004 0369 153XDepartment of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038 China ,grid.24696.3f0000 0004 0369 153XNational Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053 China ,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038 China ,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038 China
| | - Liuyi Shen
- grid.263452.40000 0004 1798 4018Shanxi Medical University, Taiyuan, Shanxi 030001 China
| | - Li Deng
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038 China ,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038 China
| | - Han-Ping Shi
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China. .,National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China. .,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China. .,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China.
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30
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Xie H, Ruan G, Wei L, Zhang H, Ge Y, Zhang Q, Lin S, Song M, Zhang X, Liu X, Li X, Zhang K, Yang M, Tang M, Song CH, Gan J, Shi HP. Hand grip strength-based cachexia index as a predictor of cancer cachexia and prognosis in patients with cancer. J Cachexia Sarcopenia Muscle 2023; 14:382-390. [PMID: 36447437 PMCID: PMC9891920 DOI: 10.1002/jcsm.13139] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Revised: 10/24/2022] [Accepted: 11/10/2022] [Indexed: 12/05/2022] Open
Abstract
BACKGROUND The cachexia index is a useful predictor for cancer cachexia and prognostic assessment. However, its use is limited because of high testing costs and complicated testing procedures. Thus, in this study, we aimed to develop a hand grip strength (HGS)-based cancer cachexia index (H-CXI) as a potential predictor of cancer cachexia and prognosis in patients with cancer. METHODS Here, 14 682 patients with cancer were studied, including the discovery (6592), internal validation (2820) and external validation (5270) cohorts. The H-CXI was calculated as [HGS (kg)/height (m)2 × serum albumin (g/L)]/neutrophil-to-lymphocyte ratio. The Kaplan-Meier method was used to create survival curves, and the log-rank test was used to compare time-event relationships between groups. A Cox proportional hazard regression model was used to determine independent risk factors for overall survival (OS). Logistic regression analysis was used to assess the association of the H-CXI with short-term outcomes and cancer cachexia. RESULTS There was a significant non-linear relationship between the H-CXI and OS in all cohorts. Patients with a low H-CXI had significantly lower OS than those with a high H-CXI in the discovery cohort (6-year survival percentage: 55.72% vs. 76.70%, log-rank P < 0.001), internal validation cohort (6-year survival percentage: 55.81% vs. 76.70%, log-rank P < 0.001), external validation cohort (6-year survival percentage: 56.05% vs. 75.48%, log-rank P < 0.001) and total cohort (6-year survival percentage: 55.86% vs. 76.27%, log-rank P < 0.001). Notably, the prognostic stratification effect of the H-CXI in patients with advanced-stage disease was more significant than that in patients with early-stage disease. The multivariate Cox proportional risk regression model confirmed that a low H-CXI negatively affected the prognosis of patients with cancer in the discovery cohort [hazard ratio (HR) 0.75, 95% confidence interval (CI) 0.71-0.80, P < 0.001], internal validation cohort (HR 0.79, 95 %CI 0.72-0.86, P < 0.001), external validation cohort (HR 0.84, 95% CI 0.79-0.89, P < 0.001) and total cohort (HR 0.80, 95% CI 0.77-0.83, P < 0.001). Multivariate logistic regression models showed that a low H-CXI was an independent risk factor predicting adverse short-term outcomes and cancer cachexia in patients with cancer. CONCLUSIONS The simple and practical H-CXI is a promising predictor for cancer cachexia and prognosis in patients with cancer.
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Affiliation(s)
- Hailun Xie
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Guotian Ruan
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Lishuang Wei
- Department of Geriatric Respiratory Disease Ward, The First Affiliated Hospital, Guangxi Medical University, Nanning, Guangxi, China
| | - Heyang Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Yizhong Ge
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Qi Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Shiqi Lin
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Mengmeng Song
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Xi Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Xiaoyue Liu
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Xiangrui Li
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Kangping Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Ming Yang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Meng Tang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Chun-Hua Song
- Department of Epidemiology, College of Public Health, Zhengzhou University, Zhenzhou, China
| | - Jialiang Gan
- Department of Colorectal and Anal Surgery, The First Affiliated Hospital, Guangxi Medical University, Nanning, Guangxi, China
| | - Han-Ping Shi
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
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31
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Ruan GT, Song MM, Zhang KP, Xie HL, Zhang Q, Zhang X, Tang M, Zhang XW, Ge YZ, Yang M, Zhu LC, Shi HP. A novel nutrition-related nomogram for the survival prediction of colorectal cancer-results from a multicenter study. Nutr Metab (Lond) 2023; 20:2. [PMID: 36600242 DOI: 10.1186/s12986-022-00719-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2022] [Accepted: 12/18/2022] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND Precisely predicting the short- and long-term survival of patients with cancer is important. The tumor-node-metastasis (TNM) stage can accurately predict the long-term, but not short-term, survival of cancer. Nutritional status can affect the individual status and short-term outcomes of patients with cancer. Our hypothesis was that incorporating TNM stage and nutrition-related factors into one nomogram improves the survival prediction for patients with colorectal cancer (CRC). METHOD This multicenter prospective primary cohort included 1373 patients with CRC, and the internal validation cohort enrolled 409 patients with CRC. Least absolute shrinkage and selection operator regression analyses were used to select prognostic indicators and develop a nomogram. The concordance (C)-index, receiver operating characteristic (ROC) curve, and decision curve analysis (DCA) were used to assess the prognostic discriminative ability of the nomogram, TNM stage, Patient-Generated Subjective Global Assessment (PGSGA), and TNM stage + PGSGA models. The overall survival (OS) curve of risk group stratification was calculated based on the nomogram risk score. RESULTS TNM stage, radical resection, reduced food intake, activities and function declined, and albumin were selected to develop the nomogram. The C-index and calibration plots of the nomogram showed good discrimination and consistency for CRC. Additionally, the ROC curves and DCA of the nomogram showed better survival prediction abilities in CRC than the other models. The stratification curves of the different risk groups of the different TNM categories were significantly different. CONCLUSION The novel nomogram showed good short- and long-term outcomes of OS in patients with CRC. This model provides a personalized and convenient prognostic prediction tool for clinical applications.
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Affiliation(s)
- Guo-Tian Ruan
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Meng-Meng Song
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Kang-Ping Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Hai-Lun Xie
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Qi Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Xi Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Meng Tang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Xiao-Wei Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Yi-Zhong Ge
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Ming Yang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Li-Chen Zhu
- Department of Immunology, School of Preclinical Medicine, Guangxi Medical University, Nanning, China
| | - Han-Ping Shi
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China. .,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China.
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32
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Chen Y, Ruan GT, Shi JY, Liu T, Liu CA, Xie HL, Song MM, Wang ZW, Hu CL, Zhang HY, Zhang XW, Tian HY, Ge YZ, Yang M, Liu YY, Lin SQ, Liu XY, Zheng X, Wang KH, Cong MH, Shen X, Wang X, Deng L, Shi HP. The combination of hand grip strength and modified Glasgow prognostic score predicts clinical outcomes in patients with liver cancer. Front Nutr 2023; 10:1062117. [PMID: 36923698 PMCID: PMC10008921 DOI: 10.3389/fnut.2023.1062117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Accepted: 02/08/2023] [Indexed: 03/02/2023] Open
Abstract
Purpose Previous studies have shown that both hand grip strength (HGS) and the modified Glasgow Prognostic Score (mGPS) are associated with poor clinical outcomes in patients with liver cancer. In spite of this, no relevant studies have been conducted to determine whether the combination of HGS and mGPS can predict the prognosis of patients with liver cancer. Accordingly, this study sought to explore this possibility. Methods This was a multicenter study of patients with liver cancer. Based on the optimal HGS cutoff value for each sex, we determined the HGS cutoff values. The patients were divided into high and low HGS groups based on their HGS scores. An mGPS of 0 was defined as low mGPS, whereas scores higher than 0 were defined as high mGPS. The patients were combined into HGS-mGPS groups for the prediction of survival. Survival analysis was performed using Kaplan-Meier curves. A Cox regression model was designed and adjusted for confounders. To evaluate the nomogram model, receiver operating characteristic curves and calibration curves were used. Results A total of 504 patients were enrolled in this study. Of these, 386 (76.6%) were men (mean [SD] age, 56.63 [12.06] years). Multivariate analysis revealed that patients with low HGS and high mGPS had a higher risk of death than those with neither low HGS nor high mGPS (hazard ratio [HR],1.50; 95% confidence interval [CI],1.14-1.98; p = 0.001 and HR, 1.55; 95% CI, 1.14-2.12, p = 0.001 respectively). Patients with both low HGS and high mGPS had 2.35-fold increased risk of death (HR, 2.35; 95% CI, 1.52-3.63; p < 0.001). The area under the curve of HGS-mGPS was 0.623. The calibration curve demonstrated the validity of the HGS-mGPS nomogram model for predicting the survival of patients with liver cancer. Conclusion A combination of low HGS and high mGPS is associated with poor prognosis in patients with liver cancer. The combination of HGS and mGPS can predict the prognosis of liver cancer more accurately than HGS or mGPS alone. The nomogram model developed in this study can effectively predict the survival outcomes of liver cancer.
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Affiliation(s)
- Yue Chen
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Guo-Tian Ruan
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Jin-Yu Shi
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Tong Liu
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Chen-An Liu
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Hai-Lun Xie
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Meng-Meng Song
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Zi-Wen Wang
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Chun-Lei Hu
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - He-Yang Zhang
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Xiao-Wei Zhang
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Hai-Ying Tian
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Yi-Zhong Ge
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Ming Yang
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Yu-Ying Liu
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Shi-Qi Lin
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Xiao-Yue Liu
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Xin Zheng
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Kun-Hua Wang
- Clinical Medical College, Yunnan University, Kunming, China.,General Surgery Clinical Medical Center of Yunnan Province, Kunming, China
| | - Ming-Hua Cong
- Comprehensive Oncology Department, National Cancer Center, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xian Shen
- The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Xin Wang
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Li Deng
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Han-Ping Shi
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
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33
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Zhang X, Zhang Q, Tang M, Zhang KP, Zhang XW, Song MM, Ruan GT, Sun Q, Li W, Xu HX, Cong MH, Deng L, Shi HP. Nutrition-inflammation marker enhances prognostic value to ECOG performance status in overweight or obese patients with cancer. JPEN J Parenter Enteral Nutr 2023; 47:109-119. [PMID: 35589385 DOI: 10.1002/jpen.2407] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Revised: 04/02/2022] [Accepted: 05/16/2022] [Indexed: 01/11/2023]
Abstract
BACKGROUND Overweight or obese cancer patients are more likely to develop a proinflammatory status. The aim of this study was to investigate whether the nutrition-inflammation marker can provide additional prognostic information on top of well-established Eastern Cooperative Oncology Group performance status (ECOG-PS) in overweight or obese patients with cancer. METHODS A total of 1667 overweight or obese cancer patients were enrolled in this study. We assessed the prediction accuracy of 10 nutrition-inflammation markers by time-dependent receiver operating characteristic (ROC) and elucidated their association with overall survival by the Kaplan-Meier method and a Cox model. RESULTS In this analysis, the majority of patients had a good performance status (ECOG-PS score ≤1; 88.3%). Both the area under ROC curves and the C-index of the lymphocyte-C-reactive protein ratio (LCR) demonstrated that LCR was the most significant nutrition-inflammation marker correlated with survival. In patients with good ECOG-PS, a low LCR was significantly associated with poorer prognosisand enhanced the predictive ability of one-year mortality. For specific tumor types, a low LCR was an independent prognostic factor for lung cancer, upper gastrointestinal cancer, and colorectal cancer, and it tended to be a significant predictor for breast cancer. In addition, those patients with a combined low LCR and poorer ECOG-PS (ECOG-PS score >1) showed the worst prognosis. CONCLUSION The LCR is more strongly associated with overall survival than other nutrition-inflammation markers, and it is able to further detect patients with worse prognosis on top of ECOG-PS in overweight or obese patients with cancer.
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Affiliation(s)
- Xi Zhang
- Department of Gastrointestinal Surgery and Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Department of Comprehensive Oncology, Cancer Hospital, Chinese Academy of Medical Sciences, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
| | - Qi Zhang
- Department of Gastrointestinal Surgery and Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
| | - Meng Tang
- Department of Gastrointestinal Surgery and Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
| | - Kang-Ping Zhang
- Department of Gastrointestinal Surgery and Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
| | - Xiao-Wei Zhang
- Department of Gastrointestinal Surgery and Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
| | - Meng-Meng Song
- Department of Gastrointestinal Surgery and Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
| | - Guo-Tian Ruan
- Department of Gastrointestinal Surgery and Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
| | - Qiang Sun
- Laboratory of Cell Engineering, Institute of Biotechnology, Research Unit of Cell Death Mechanism, Chinese Academy of Medical Science, Beijing, China
| | - Wei Li
- Cancer Center of the First Hospital of Jilin University, Changchun, China
| | - Hong-Xia Xu
- Department of Clinical Nutrition, Daping Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Ming-Hua Cong
- Department of Comprehensive Oncology, Cancer Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Li Deng
- Department of Gastrointestinal Surgery and Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
| | - Han-Ping Shi
- Department of Gastrointestinal Surgery and Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
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34
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Liu CA, Liu T, Ruan GT, Ge YZ, Song MM, Xie HL, Lin SQ, Deng L, Zhang HY, Zhang Q, Shi HP. The relationship between fat distribution in central region and comorbidities in obese people: Based on NHANES 2011-2018. Front Endocrinol (Lausanne) 2023; 14:1114963. [PMID: 36843589 PMCID: PMC9945539 DOI: 10.3389/fendo.2023.1114963] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2022] [Accepted: 01/27/2023] [Indexed: 02/11/2023] Open
Abstract
BACKGROUND Central obesity is closely related to comorbidity, while the relationship between fat accumulation pattern and abnormal distribution in different parts of the central region of obese people and comorbidity is not clear. This study aimed to explore the relationship between fat distribution in central region and comorbidity among obese participants. METHODS We used observational data of NHANES 2011-2018 to identify 12 obesity-related comorbidities in 7 categories based on questionnaire responses from participants. Fat distribution is expressed by fat ratio, including Android, Gynoid, visceral, subcutaneous, visceral/subcutaneous (V/S), and total abdominal fat ratio. Logistic regression analysis were utilized to elucidate the association between fat distribution and comorbidity. RESULTS The comorbidity rate was about 54.1% among 4899 obese participants (weighted 60,180,984, 41.35 ± 11.16 years, 57.5% female). There were differences in fat distribution across the sexes and ages. Among men, Android fat ratio (OR, 4.21, 95% CI, 1.54-11.50, Ptrend=0.007), visceral fat ratio (OR, 2.16, 95% CI, 1.42-3.29, Ptrend<0.001) and V/S (OR, 2.07, 95% CI, 1.43-2.99, Ptrend<0.001) were independent risk factors for comorbidity. Among these, there was a "J" shape correlation between Android fat ratio and comorbidity risk, while visceral fat ratio and V/S exhibited linear relationships with comorbidity risk. The Gynoid fat ratio (OR, 0.87, 95%CI, 0.80-0.95, Ptrend=0.001) and subcutaneous fat ratio (OR, 0.81, 95%CI, 0.67-0.98, Ptrend=0.016) both performed a protective role in the risk of comorbidity. In women, Android fat ratio (OR, 4.65, 95% CI, 2.11-10.24, Ptrend=0.020), visceral fat ratio (OR, 1.83, 95% CI, 1.31-2.56, Ptrend=0.001), and V/S (OR, 1.80, 95% CI, 1.32-2.45, Ptrend=0.020) were also independent risk factors for comorbidity, with a dose-response relationship similar to that of men. Only the Gynoid fat ratio (OR, 0.93, 95% CI, 0.87-0.99, Ptrend=0.016) had a protective effect on female comorbidity. This association was also seen in obese participants of different age groups, comorbidity numbers, and comorbidity types, although it was more statistically significant in older, complex comorbidity, cardiovascular, cerebrovascular, and metabolic diseases. CONCLUSIONS In the obese population, there were strong correlation between fat distribution in central region and comorbidity, which was affected by sex, age, number of comorbidities, and type of comorbidity.
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Affiliation(s)
- Chen-An Liu
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Capital Medical University, Beijing, China
| | - Tong Liu
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Capital Medical University, Beijing, China
| | - Guo-Tian Ruan
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Capital Medical University, Beijing, China
| | - Yi-Zhong Ge
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Capital Medical University, Beijing, China
| | - Meng-Meng Song
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Capital Medical University, Beijing, China
| | - Hai-Lun Xie
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Capital Medical University, Beijing, China
| | - Shi-Qi Lin
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Capital Medical University, Beijing, China
| | - Li Deng
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Capital Medical University, Beijing, China
| | - He-Yang Zhang
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Capital Medical University, Beijing, China
| | - Qi Zhang
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Capital Medical University, Beijing, China
- Department of Colorectal Surgery, The Cancer Hospital of the University of Chinese Academy of Sciences, Zhejiang Cancer Hospital, Hangzhou, Zhejiang, China
| | - Han-Ping Shi
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Capital Medical University, Beijing, China
- *Correspondence: Han-Ping Shi,
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35
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Lin SQ, Xie HL, Ge YZ, Ruan GT, Zhang Q, Song MM, Zhang HY, Zhang X, Li XR, Tang M, Shen X, Song CH, Li W, Shi HP. Association between systemic inflammation and water composition and survival in colorectal cancer. Front Oncol 2022; 12:896160. [PMID: 36353554 PMCID: PMC9638509 DOI: 10.3389/fonc.2022.896160] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Accepted: 10/04/2022] [Indexed: 12/05/2022] Open
Abstract
Background Systemic inflammation and water composition are important factors affecting cancer prognosis. This study aimed to explore the association between the neutrophil-to-lymphocyte ratio (NLR) and intracellular water/total body water (ICW/TBW) ratio and overall survival (OS) in colorectal cancer (CRC). Methods This multicenter, prospective cohort included 628 patients with CRC between June 2012 and December 2019. The association between the covariates and OS was assessed using a Cox proportional hazards model and restricted cubic spline models. Concordance index (C-index), which integrated discriminant improvement (IDI) index and continuous net reclassification index, (cNRI) was used to compare the predictive ability of the markers. Results The optimal cutoff values for the NLR and ICW/TBW ratio were 2.42 and 0.61, respectively. The NLR was negatively associated with OS, while the ICW/TBW ratio was positively correlated with OS. NLR ≥2.42 and ICW/TBW ratio <0.61 were both independent poor prognostic factors (hazard ratio [HR]: 2.04, 95% confidence interval [CI]: 1.44–2.88 and HR: 1.45, 95% CI: 1.04–2.02, respectively). Subsequently, we combined the two factors to construct an inflammation-water score (IWS). Patients with IWS (2, ≥1) had worse OS (HR: 2.86 and 95% CI: 1.77–4.63; HR: 1.74 and 95% CI 1.17–2.57, respectively) than those without one. Compared to its component factors, IWS score showed better predictive ability for C-index, IDI index, and cNRI. Conclusion A high NLR and a low ICW/TBW ratio were independent risk factors for poor prognosis in patients with CRC. The combination of the two factors can provide a better prognostic prediction effect.
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Affiliation(s)
- Shi-Qi Lin
- 1Department of Surgery, the Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
| | - Hai-Lun Xie
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
| | - Yi-Zhong Ge
- 1Department of Surgery, the Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
| | - Guo-Tian Ruan
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
| | - Qi Zhang
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
| | - Meng-Meng Song
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
| | - He-Yang Zhang
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
| | - Xi Zhang
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
| | - Xiang-Rui Li
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
| | - Meng Tang
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
| | - Xian Shen
- 1Department of Surgery, the Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China
| | - Chun-Hua Song
- Department of Cancer Center, the First Hospital of Jilin University, Changchun, Jilin, China
| | - Wei Li
- Cancer Center of the First Hospital of Jilin University, Changchun, China
| | - Han-Ping Shi
- 1Department of Surgery, the Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
- *Correspondence: Han-Ping Shi,
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36
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Zhang HY, Xie HL, Ruan GT, Zhang Q, Ge YZ, Liu XY, Tang M, Song MM, Lin SQ, Yang M, Zhang XW, Xu HX, Song CH, Shi HP. Lymphocyte to C-reactive protein ratio could better predict the prognosis of patients with stage IV cancer. BMC Cancer 2022; 22:1080. [PMID: 36266627 DOI: 10.1186/s12885-022-10145-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2022] [Accepted: 09/28/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Systemic inflammation is currently regarded as a hallmark of cancer. This study aimed to accurately clarify the prognostic value of various inflammatory markers in patients with stage IV cancer. METHODS This study assessed 2,424 patients with cancer diagnosed with cancer in tumor, node, metastasis (TNM) stage IV. After evaluating the predictive value of 13 inflammatory indicators for patient prognosis using the C index, the lymphocyte C-reactive protein ratio (LCR) was selected to elucidate the prognostic and predictive values in patients with stage IV cancer. Kaplan-Meier and Cox proportional hazards regression models were used to analyze long-term survival. RESULTS A total of 1,457 men (60.1%) and 967 women (39.9%) diagnosed with TNM stage IV cancer were enrolled. A ratio of 2,814 was defined as the optimal cut-off value for the LCR. The LCR was the most accurate prognosis predictor for patients with stage IV cancer among the 13 inflammatory nutritional markers evaluated. The multivariate-adjusted restricted cubic spline plot suggested that LCR had an L-shaped dose-response association with all-cause mortality risk. Patients with lower LCR levels tended to present with worse prognoses. Kaplan-Meier curves and log-rank test results showed that the high LCR groups (LCR ≥ 2,814) exhibited a better prognosis, whereas patients with stage IV cancer of different sex and tumor types (for example, gastrointestinal tumor, non-gastrointestinal tumor, and lung cancer) had a worse survival time. CONCLUSION The LCR score can be regarded as a stable and useful biomarker to predict prognosis in patients with TNM stage IV compared to other evaluated inflammation indicators.
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Affiliation(s)
- He-Yang Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Hai-Lun Xie
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Guo-Tian Ruan
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Qi Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Yi-Zhong Ge
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Xiao-Yue Liu
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Meng Tang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Meng-Meng Song
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Shi-Qi Lin
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Ming Yang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Xiao-Wei Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Hong-Xia Xu
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Chun-Hua Song
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Han-Ping Shi
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, 10 Tie Yi Road, Beijing, 100038, China. .,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China. .,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China.
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Liu CA, Zhang Q, Ruan GT, Shen LY, Xie HL, Liu T, Tang M, Zhang X, Yang M, Hu CL, Zhang KP, Liu XY, Shi HP. Novel Diagnostic and Prognostic Tools for Lung Cancer Cachexia: Based on Nutritional and Inflammatory Status. Front Oncol 2022; 12:890745. [PMID: 35898878 PMCID: PMC9309732 DOI: 10.3389/fonc.2022.890745] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2022] [Accepted: 06/20/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundCachexia is one of the most common complications affecting lung cancer patients that seriously affects their quality-of-life and survival time. This study aimed to analyze the predictors and prognostic factors of lung cancer cachexia as well as to develop a convenient and accurate clinical prediction tool for oncologists.MethodsIn this multicenter cohort study, 4022 patients with lung cancer were retrospectively analyzed. The patients were randomly categorized into training and verification sets (7:3 ratio). Univariate and multivariate logistic regression analyses were performed to determine the risk factors of cachexia in patients with lung cancer. Cox regression analysis was applied to determine independent prognostic factors in the patients with lung cancer cachexia. Meanwhile, two nomograms were established and evaluated by time-dependent receiver operating characteristic curve, calibration curve, and decision curve analysis (DCA).ResultsStage, serum albumin, ALI, anemia, and surgery were independent risk factors for cachexia in patients with lung cancer. Patients with lung cancer cachexia have a shorter survival time. Sex, stage, serum albumin, ALI, KPS score, and surgery served as independent prognostic factors for patients with lung cancer cachexia. The area under the curves (AUCs) of diagnostic nomogram in the training and validation sets were 0.702 and 0.688, respectively, the AUCs of prognostic nomogram in the training set for 1-, 3-, and 5-year were 0.70, 0.72, and 0.75, respectively, while in the validation set the AUCs were 0.71, 0.75, and 0.79, respectively. The calibration curves and DCA of the two nomograms were consistent and the clinical benefit rate was high.ConclusionCachexia brings an additional economic burden and worsens the prognosis of lung cancer patients. The two nomograms can accurately screen and predict the probability of occurrence of cachexia in lung cancer and the prognosis of patients with lung cancer cachexia, and guide clinical work.
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Affiliation(s)
- Chen-An Liu
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
| | - Qi Zhang
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
| | - Guo-Tian Ruan
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
| | - Liu-Yi Shen
- Department of Pathology and Shanxi Key Laboratory of Carcinogenesis and Translational Research of Esophageal Cancer, Shanxi Medical University, Taiyuan, China
| | - Hai-Lun Xie
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
| | - Tong Liu
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
| | - Meng Tang
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
| | - Xi Zhang
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
| | - Ming Yang
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
| | - Chun-Lei Hu
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
| | - Kang-Ping Zhang
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
| | - Xiao-Yue Liu
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
| | - Han-Ping Shi
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
- *Correspondence: Han-Ping Shi,
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Ruan GT, Xie HL, Deng L, Ge YZ, Zhang Q, Wang ZW, Zhang X, Zhang HY, Tang M, Song MM, Zhang XW, Yang M, Pan L, Wang KH, Cong MH, Gong YZ, Wang MY, Shi HP. A Novel Systemic Inflammation Prognostic Score to Stratify Survival in Elderly Patients With Cancer. Front Nutr 2022; 9:893753. [PMID: 35866083 PMCID: PMC9294408 DOI: 10.3389/fnut.2022.893753] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Accepted: 06/08/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundElderly patients with cancer face the challenge of systemic inflammation, which can lead to a poor prognosis. Existing inflammatory indices cannot fully reflect the immune-inflammatory status of patients. This study aimed to develop a new scoring system to predict the survival of elderly patients with cancer using inflammatory indices, namely, the systemic inflammation prognostic score (SIPS).Materials and MethodsThis prospective multicenter study included a total of 1,767 patients with cancer, with a mean age of 70.97 ± 5.49 years, of whom 1,170 (66.2%) were men. We performed the least absolute shrinkage and selection operator (LASSO) regression to screen inflammatory indicators to include in constructing SIPS. Prognostic analysis of SIPS was performed using univariate and multivariate survival analyzes. The prognostic value of SIPS and its components were compared using the prognostic receiver operating characteristic curve and concordance index. The population was divided into the training cohort and the validation cohort in a 7:3 ratio and a SIPS prognostic analysis was performed.ResultsThe LASSO regression selected C-reactive protein (CRP) (≤ 9.81, “0”; > 9.81, “1”), geriatric nutritional risk index (GNRI) (≤ 93.85, “1”; 93.85, “0”), advanced lung cancer inflammation index (ALI) (≤ 23.49, “1”; > 23.49, “0”), and lymphocyte to C-reactive protein ratio (LCR) (≤ 2523.81, “1”; > 2523.81, “0”) to develop SIPS. Patients were divided into the three groups based on the total SIPS: low-risk (0), moderate-risk (1–2), and high-risk (3–4). On the multivariate survival analysis, patients in the moderate-risk [P < 0.001, hazard ratio (HR) = 1.79, 95% CI: 1.47–2.17] and high-risk groups (P < 0.001, HR = 2.40, 95% CI: 1.98–2.92) showed a worse prognosis than those in the low-risk group. The total cohort, training cohort, and validation cohort all showed that SIPS had better survival prediction than CRP, GNRI, ALI, and LCR. The HRs were 2.81 times higher in patients in the high-risk group with malnutrition than in patients in the low-risk group without malnutrition.ConclusionSIPS was an independent prognostic indicator in elderly patients with cancer. Malnutrition in the high-risk group increased the mortality risk.
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Affiliation(s)
- Guo-Tian Ruan
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Hai-Lun Xie
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Li Deng
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Yi-Zhong Ge
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Qi Zhang
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Zi-Wen Wang
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Xi Zhang
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - He-Yang Zhang
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Meng Tang
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Meng-Meng Song
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Xiao-Wei Zhang
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Ming Yang
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Lei Pan
- Department of Respiratory and Critical Care Medicine, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Kun-Hua Wang
- Yunnan University, Kunming, China
- General Surgery Clinical Medical Center of Yunnan Province, Kunming, China
| | - Ming-Hua Cong
- Comprehensive Oncology Department, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yi-Zhen Gong
- Department of Gastrointestinal Surgery, Guangxi Medical University Cancer Hospital, Nanning, China
- Guangxi Clinical Research Center for Colorectal Cancer, Nanning, China
- *Correspondence: Yi-Zhen Gong,
| | - Meng-Yan Wang
- Department of General Surgery, The 906th Hospital of the Joint Logistics Support Force of the Chinese People’s Liberation Army, Ningbo, China
- Meng-Yan Wang,
| | - Han-Ping Shi
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
- Han-Ping Shi,
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Ruan GT, Xie HL, Gong YZ, Ge YZ, Zhang Q, Wang ZW, Zhang X, Zhang HY, Tang M, Song MM, Zhang XW, Yang M, Chen YB, Yu KY, Deng L, Wang KH, Cong MH, Shi HP. Prognostic importance of systemic inflammation and insulin resistance in patients with cancer: a prospective multicenter study. BMC Cancer 2022; 22:700. [PMID: 35752767 PMCID: PMC9233357 DOI: 10.1186/s12885-022-09752-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2022] [Accepted: 06/07/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Systemic inflammation and insulin resistance (IR) are often associated with poor prognosis in cancer. This study aimed to investigate the prognostic value of surrogate systemic inflammation and IR indices in patients with cancer. METHODS This multicenter prospective study included 5,221 patients with cancer, with a mean age of 59.41±11.15 years, of whom 3,061 (58.6%) were male. The surrogate IR indices included low-density lipoprotein cholesterol to high-density lipoprotein cholesterol (LHR) ratio, total cholesterol to high-density lipoprotein cholesterol (TC/ HDL-c) ratio, triglyceride to high-density lipoprotein cholesterol (TG/HDL-c) ratio, and fasting triglyceride glucose (TyG). Prognostic receiver operator characteristic (ROC) curves and C-indices were used to select a better surrogate IR index in patients with cancer. The prognostic value of the indicators was evaluated using univariate and multivariate survival analyses. RESULTS In this study, the median survival time of patients was 44.5 (40.5-51.4) months, and the overall mortality in the 12-month period was 1,115 (53.7%), with 196 mortality events per 1,000 patient-years of patients' follow-up. The prognostic ROC curve and C-index suggested that the prognostic value of LHR was better than that of the other IR indices. The multivariate-adjusted hazard ratios (HRs) for overall survival (OS) were higher in patients with high C-reactive protein (CRP) (HR, 1.51; 95% confidence interval [CI]: 1.38-1.65) and high LHR (HR, 1.20; 95% CI: 1.06-1.37), respectively. The mortality rate of patients with both high CRP and LHR was 1.75-fold higher than that of patients with both low CRP and LHR. CONCLUSION Both CRP and LHR showed good survival predictions in patients with cancer. CRP combined with LHR can improve the predictive power of patients with cancer.
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Affiliation(s)
- Guo-Tian Ruan
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
| | - Hai-Lun Xie
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
| | - Yi-Zhen Gong
- Department of Gastrointestinal Surgery, Guangxi Medical University Cancer Hospital, Nanning, Guangxi Zhuang Autonomous, Region, 530021, P.R. China.,Guangxi Clinical Research Center for Colorectal Cancer, Nanning, Guangxi Zhuang Autonomous, Region, 530021, P.R. China
| | - Yi-Zhong Ge
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
| | - Qi Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
| | - Zi-Wen Wang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
| | - Xi Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
| | - He-Yang Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
| | - Meng Tang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
| | - Meng-Meng Song
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
| | - Xiao-Wei Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
| | - Ming Yang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
| | - Yong-Bing Chen
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
| | - Kai-Ying Yu
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
| | - Li Deng
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China
| | - Kun-Hua Wang
- Yunnan university, Kunming, 650091, China. .,General surgery clinical medical center of Yunnan province, Kunming, 650032, China.
| | - Ming-Hua Cong
- Comprehensive Oncology Department, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100038, China.
| | - Han-Ping Shi
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China. .,Key Laboratory of Cancer FSMP for State Market Regulation, 10 Tie Yi Road, Beijing, 100038, China.
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40
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Yang M, Zhang Q, Ge YZ, Tang M, Hu CL, Wang ZW, Zhang X, Song MM, Ruan GT, Zhang XW, Liu T, Xie HL, Zhang HY, Zhang KP, Li QQ, Li XR, Liu XY, Lin SQ, Shi HP. Prognostic Roles of Glucose to Lymphocyte Ratio and Modified Glasgow Prognosis Score in Patients With Non-small Cell Lung Cancer. Front Nutr 2022; 9:871301. [PMID: 35619963 PMCID: PMC9127733 DOI: 10.3389/fnut.2022.871301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Accepted: 04/04/2022] [Indexed: 11/21/2022] Open
Abstract
Background Non-small cell lung cancer (NSCLC) is among the most prevalent malignancies worldwide. Previous studies have shown that the status of inflammation, nutrition and immune are closely related to overall survival (OS) of patients with NSCLC, but little is known about their interactive and combined roles. Hence, we chose glucose to lymphocyte ratio (GLR) and modified Glasgow Prognosis Score (mGPS) as prognostic factors and assessed the prognostic values of them for patients with NSCLC. Methods Baseline clinicopathologic and laboratory characteristics of 862 patients with NSCLC were obtained from a multicenter prospective cohort. The Cox proportional hazard regression models were used to determine prognostic values of the clinical factors. A nomogram was also constructed integrating the clinical factors with clinical significance or independent prognostic values. Concordance index (C-index) was utilized to evaluate the prediction accuracy of the TNM stage and the nomogram. Results Multivariate analyses demonstrated that GLR [Hazard ratio (HR) = 1.029, 95% confidence interval (CI) = 1.004–1.056, P = 0.023] and mGPS (score of 1: HR = 1.404, 95% CI = 1.143–1.726, P = 0.001; score of 2: HR = 1.515, 95% CI = 1.159–1.980, P = 0.002) were independent prognostic factors for patients with NSCLC. The C-indexes of the TNM stage and the nomogram were 0.642 (95% CI = 0.620–0.663) and 0.694 (95% CI = 0.671–0.717), respectively. Conclusion GLR and mGPS were independent prognostic factors for patients with NSCLC. Moreover, our constructed nomogram might be superior in predicting prognosis of patients with NSCLC compared with the TNM stage.
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Affiliation(s)
- Ming Yang
- Department of Gastrointestinal Surgery / Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Qi Zhang
- Department of Gastrointestinal Surgery / Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Yi-Zhong Ge
- Department of Gastrointestinal Surgery / Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China.,The Second Affiliated Hospital & Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China
| | - Meng Tang
- Department of Gastrointestinal Surgery / Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Chun-Lei Hu
- Department of Gastrointestinal Surgery / Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Zi-Wen Wang
- Department of Gastrointestinal Surgery / Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Xi Zhang
- Department of Gastrointestinal Surgery / Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Meng-Meng Song
- Department of Gastrointestinal Surgery / Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Guo-Tian Ruan
- Department of Gastrointestinal Surgery / Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Xiao-Wei Zhang
- Department of Gastrointestinal Surgery / Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Tong Liu
- Department of Gastrointestinal Surgery / Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Hai-Lun Xie
- Department of Gastrointestinal Surgery / Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - He-Yang Zhang
- Department of Gastrointestinal Surgery / Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Kang-Ping Zhang
- Department of Gastrointestinal Surgery / Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Qin-Qin Li
- Department of Gastrointestinal Surgery / Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Xiang-Rui Li
- Department of Gastrointestinal Surgery / Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Xiao-Yue Liu
- Department of Gastrointestinal Surgery / Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
| | - Shi-Qi Lin
- Department of Gastrointestinal Surgery / Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China.,The Second Affiliated Hospital & Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China
| | - Han-Ping Shi
- Department of Gastrointestinal Surgery / Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, China
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Ge YZ, Ruan GT, Zhang Q, Dong WJ, Zhang X, Song MM, Zhang XW, Li XR, Zhang KP, Tang M, Li W, Shen X, Shi HP. Extracellular water to total body water ratio predicts survival in cancer patients with sarcopenia: a multi-center cohort study. Nutr Metab (Lond) 2022; 19:34. [PMID: 35525966 PMCID: PMC9077863 DOI: 10.1186/s12986-022-00667-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Accepted: 04/20/2022] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Body water measured by bioelectrical impedance analysis (BIA) predicts the outcomes of many diseases. This study aimed to evaluate the relationship between body water and the prognosis of cancer patients with sarcopenia. METHODS This study employed 287 cancer patients with sarcopenia underwent BIA from a prospective multicenter study of patients with cancer in China from 2013 to 2020. The primary outcome of interest was all-cause mortality presented as the longest time to follow-up available. Eight indicators of body water [total body water, extracellular water, intracellular water, free fat mass, active cell mass, extracellular water/intracellular water, extracellular water/total body water (ECW/TBW), and intracellular water/total body water] were included in the research. Neutrophil-lymphocyte ratio (NLR) = neutrophil (× 109)/lymphocyte (× 109). The discriminatory ability and prediction accuracy of each factor were assessed using the C-index. The hazard ratios (HR) and 95% confidence intervals (CI) were calculated using the Cox proportional hazard model. RESULTS The median age was 65 years old, and 138 (48%) patients were men. During a mean follow-up of 46 months, 140 deaths were recorded, resulting in a rate of 204.6 events per 1000 patient-years. ECW/TBW showed the best predictive accuracy (C-index = 0.619) compared to the other indicators [p = 0.004, adjusted HR (95% CI) 1.70 (1.18,2.44)]. In the middle tertile (0.385-0.405), ECW/TBW had a strong independent negative association with patient survival [adjusted HR (95% CI) 2.88 (1.39-5.97), p = 0.004]. Patients who had a high ECW/TBW (ECW/TBW ≥ 0.395) combined with a high NLR had 3.84-fold risk of mortality (p < 0.001, 95% CI 1.99,7.38). CONCLUSIONS ECW/TBW was better than other indicators in predicting survival of cancer patients with sarcopenia. High ECW/TBW combined with high NLR would further increase the risk of mortality. TRIAL REGISTRATION The Investigation on Nutrition Status and Clinical Outcome of Common Cancers (INSCOC) (Chinese Clinical Trial Registry: ChiCTR1800020329, URL of registration: http://www.chictr.org.cn/showprojen.aspx?proj=31813 ).
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Affiliation(s)
- Yi-Zhong Ge
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, 325000, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Guo-Tian Ruan
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Qi Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Wen-Jun Dong
- The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, 325000, China
| | - Xi Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Meng-Meng Song
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Xiao-Wei Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Xiang-Rui Li
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Kang-Ping Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Meng Tang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Wei Li
- Cancer Center of the First Hospital of Jilin University, Changchun, 130021, Jilin, China
| | - Xian Shen
- The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, 325000, China
| | - Han-Ping Shi
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.
- The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, 325000, China.
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China.
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China.
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Li XR, Zhang Q, Zhang KP, Zhang X, Ruan GT, Song MM, Ge YZ, Zhang XW, Song CH, Shi HP. Associations of serum total bilirubin with survival outcomes in patients with cancer cachexia: A prospective, multicenter cohort study. Nutrition 2022; 102:111711. [DOI: 10.1016/j.nut.2022.111711] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 03/26/2022] [Accepted: 04/19/2022] [Indexed: 11/26/2022]
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43
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Zhuang CL, Zhang FM, Xu HX, Weng M, Yao Y, Zhou FX, Li ZN, Guo ZQ, Li T, Li W, Shi HP. Reference values of low body mass index, mid-upper arm circumference, and calf circumference in cancer patients: a national-wide multi-center observational study. Nutrition 2022; 99-100:111688. [DOI: 10.1016/j.nut.2022.111688] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Revised: 02/26/2022] [Accepted: 04/04/2022] [Indexed: 11/16/2022]
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44
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Jin S, Qin D, Liang BS, Zhang LC, Wei XX, Wang YJ, Zhuang B, Zhang T, Yang ZP, Cao YW, Jin SL, Yang P, Jiang B, Rao BQ, Shi HP, Lu Q. Machine learning predicts cancer-associated deep vein thrombosis using clinically available variables. Int J Med Inform 2022; 161:104733. [DOI: 10.1016/j.ijmedinf.2022.104733] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2021] [Revised: 02/23/2022] [Accepted: 03/02/2022] [Indexed: 12/17/2022]
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Ruan GT, Xie HL, Zhu LC, Ge YZ, Yan L, Liao C, Gong YZ, Shi HP. Immune ULBP1 is Elevated in Colon Adenocarcinoma and Predicts Prognosis. Front Genet 2022; 13:762514. [PMID: 35211154 PMCID: PMC8862730 DOI: 10.3389/fgene.2022.762514] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2021] [Accepted: 01/10/2022] [Indexed: 01/05/2023] Open
Abstract
Background: Colon adenocarcinoma (COAD) is still the main cause of cancer deaths worldwide. Although immunotherapy has made progress in recent years, there is still a need to improve diagnosis, prognosis, and treatment tools. UL-16 binding protein 1 (ULBP1) is a ligand that activates the receptor natural killer cell group 2 receptor D (NKG2D) and plays an important immunomodulatory role. We aimed to investigate the clinical significance of ULBP1 in COAD. Methods: We obtained the relevant data from The Cancer Genome Atlas (TCGA). A total of 438 patients with COAD were included in this study, with a mean age of 67.1 ± 13.03 years old, of which 234 (53.42%) were male. The diagnostic value of COAD tumor tissues and adjacent tissues was analyzed by ROC curve. Univariate and multivariate survival analysis investigated the prognostic value of ULBP1 gene, and Gene Set Enrichment Analysis (GSEA) curve was performed to analyze the biological process and enriched enrichment pathway of ULBP1 in COAD. Combination survival analysis investigated the combined prognostic effect of prognostic genes. Results:ULBP1 gene had a high diagnostic value in COAD [AUC (TCGA) = 0.959; AUC (Guangxi) = 0.898]. Up-regulated ULBP1 gene of patients with COAD predicted a worse prognosis compared to those patients with down-regulated ULBP1 gene (Adjusted HR = 1.544, 95% CI = 1.020–2.337, p = 0.040). The GSEA showed that ULBP1 was involved in the apoptotic pathway and biological process of T cell mediated cytotoxicity, regulation of natural killer cell activation, and T cell mediated immunity of COAD. The combination survival analysis showed that the combination of high expression of ULBP1, AARS1, and DDIT3 would increase the 2.2-fold death risk of COAD when compared with those of low expression genes. Conclusion: The immune-related ULBP1 gene had diagnostic and prognostic value in COAD. The combination of ULBP1, AARS1, and DDIT3 genes could improve the prognostic prediction performance in COAD.
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Affiliation(s)
- Guo-Tian Ruan
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
| | - Hai-Lun Xie
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
| | - Li-Chen Zhu
- Department of Immunology, School of Preclinical Medicine, Guangxi Medical University, Nanning, China
| | - Yi-Zhong Ge
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
| | - Lin Yan
- Department of Thoracic Surgery, Affiliated Hospital of Guilin Medical College, Guilin, China
| | - Cun Liao
- Department of Colorectal and Anal Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Yi-Zhen Gong
- Division of Colorectal and Anal Surgery, Department of Gastrointestinal Surgery, Guangxi Medical University Cancer Hospital, Nanning, China
| | - Han-Ping Shi
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
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Ruan GT, Ge YZ, Xie HL, Hu CL, Zhang Q, Zhang X, Tang M, Song MM, Zhang XW, Liu T, Li XR, Zhang KP, Yang M, Li QQ, Chen YB, Yu KY, Braga M, Cong MH, Wang KH, Barazzoni R, Shi HP. Association Between Systemic Inflammation and Malnutrition With Survival in Patients With Cancer Sarcopenia-A Prospective Multicenter Study. Front Nutr 2022; 8:811288. [PMID: 35198586 PMCID: PMC8859438 DOI: 10.3389/fnut.2021.811288] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Accepted: 12/31/2021] [Indexed: 12/21/2022] Open
Abstract
Objective Systemic inflammation and malnutrition are correlated with cancer sarcopenia and have deleterious effects on oncological outcomes. However, the combined effect of inflammation and malnutrition in patients with cancer sarcopenia remains unclear. Methods We prospectively collected information on 1,204 patients diagnosed with cancer sarcopenia. the mean (SD) age was 64.5 (11.4%) years, and 705 (58.60%) of the patients were male. The patients were categorized into the high advanced lung cancer inflammation index (ALI) group (≥18.39) and the low ALI group (<18.39) according to the optimal survival cut-off curve. We selected the optimal inflammation marker using the C-index, decision curve analysis (DCA), and a prognostic receiver operating characteristic curve. Univariate and multivariate survival analyses were performed to determine the prognostic value of the optimal inflammation indicator. We also analyzed the association between inflammation and malnutrition in patients with cancer. Results The C-index, DCA, and prognostic area under the curve of ALI in patients with cancer sarcopenia were higher or better than those of neutrophil-lymphocyte ratio (NLR), prognostic nutritional index (PNI), systemic immune-inflammation index (SII), and platelet-lymphocyte ratio (PLR). The prognosis for patients in the low ALI group was worse than that of patients in the high ALI group [HR (95%CI) = 1.584 (1.280–1.959), P < 0.001]. When the ALI was divided into quartiles, we observed that decreased ALI scores strongly correlated with decreased overall survival (OS). Patients with both a low ALI and severe malnutrition (vs. patients with high ALI and well-nourished) had a 2.262-fold death risk (P < 0.001). Subgroup analysis showed a significant interactive association between the ALI and death risk in terms of TNM stage (P for interaction = 0.030). Conclusions The inflammation indicator of the ALI was better than those of the NLR, PNI, SII, and PLR in patients with cancer sarcopenia. Inflammation combined with severe malnutrition has a nearly 3-fold death risk in patients with cancer sarcopenia, suggesting that reducing systemic inflammation, strengthening nutritional intervention, and improving skeletal muscle mass are necessary.
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Affiliation(s)
- Guo-Tian Ruan
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
| | - Yi-Zhong Ge
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
| | - Hai-Lun Xie
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
| | - Chun-Lei Hu
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
| | - Qi Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
| | - Xi Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
| | - Meng Tang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
| | - Meng-Meng Song
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
| | - Xiao-Wei Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
| | - Tong Liu
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
| | - Xiang-Rui Li
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
| | - Kang-Ping Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
| | - Ming Yang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
| | - Qin-Qin Li
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
| | - Yong-Bing Chen
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
| | - Kai-Ying Yu
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
| | - Marco Braga
- Department of Surgery, San Raffaele Hospital, Milan, Italy
| | - Ming-Hua Cong
- Comprehensive Oncology Department, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Kun-Hua Wang
- Department of Surgery, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Rocco Barazzoni
- Department of Medical, Surgical and Health Sciences, University of Trieste, Trieste, Italy
| | - Han-Ping Shi
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
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Fu Z, Zhang R, Wang KH, Cong MH, Li T, Weng M, Guo ZQ, Li ZN, Li ZP, Wang C, Xu HX, Song CH, Zhuang CL, Zhang Q, Li W, Shi HP. Development and validation of a Modified Patient-Generated Subjective Global Assessment as a nutritional assessment tool in cancer patients. J Cachexia Sarcopenia Muscle 2022; 13:343-354. [PMID: 34862759 PMCID: PMC8818590 DOI: 10.1002/jcsm.12872] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2020] [Revised: 03/18/2021] [Accepted: 10/30/2021] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND Completing Patient-Generated Subjective Global Assessment (PG-SGA) questionnaires is time consuming. This study aimed to develop and validate an easy-to-use modified PG-SGA (mPG-SGA) for cancer patients. METHODS Seventy professionals assessed the content validity, comprehensibility, and difficulty of the full PG-SGA. A survey including the PG-SGA and other questionnaires was completed by 34 071 adult hospitalized cancer patients with first cancer diagnosis or recurrent disease with any tumour comorbidities from the INSCOC study. Among them, 1558 patients were followed for 5 years after admission. Reliability and rank correlation were estimated to assess the consistency between PG-SGA items and to select mPG-SGA items. The external and internal validity, test-retest reliability, and predictive validity were tested for the mPG-SGA via comparison with both the PG-SGA and abridged PG-SGA (abPG-SGA). RESULTS After deleting items that more than 50% of professionals considered difficult to evaluate (Worksheet 4) and items with an item-total correlation <0.1, the mPG-SGA was constructed. Nutritional status was categorized using mPG-SGA scores as well-nourished (0 points) or mildly (1-2 points), moderately (3-6 points), or severely malnourished (≥7 points) based on the area under curve (0.962, 0.989, and 0.985) and maximal sensitivity (0.924, 0.918, and 0.945) and specificity (1.000, 1.000, and 0.938) of the cut-off scores. The external and internal validity and test-retest reliability were good. Significant median overall survival differences were found among nutritional status groups categorized by the mPG-SGA: 24, 18, 14, and 10 months for well-nourished, mildly malnourished, moderately malnourished, and severely malnourished, respectively (all Ps < 0.05). Neither the PG-SGA nor the abridged PG-SGA could discriminate the median overall survival differences between the well-nourished and mildly malnourished groups. CONCLUSIONS We systematically developed and validated the mPG-SGA as an easier-to-use nutritional assessment tool for cancer patients. The mPG-SGA appears to have better predictive validity for survival than the PG-SGA and abridged PG-SGA.
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Affiliation(s)
- Zhenming Fu
- Cancer Center, Renmin Hospital of Wuhan University, Wuhan, China
| | - Rui Zhang
- Cancer Center, Renmin Hospital of Wuhan University, Wuhan, China
| | - Kun-Hua Wang
- Department of Surgery, The First Affiliated Hospital, Kunming Medical University, Kunming, China
| | - Ming-Hua Cong
- Department of Comprehensive Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Tao Li
- Department of Radiotherapy, Affiliated Cancer Hospital, School of Medicine, UESTC, Chengdu, China
| | - Min Weng
- Department of Surgery, The First Affiliated Hospital, Kunming Medical University, Kunming, China
| | - Zeng-Qing Guo
- Department of Medical Oncology, Fujian Provincial Cancer Hospital, Fujian Medical University Cancer Hospital, Fuzhou, China
| | - Zeng-Ning Li
- Department of Nutrition, The First Hospital, Hebei Medical University, Shijiazhuang, China
| | - Zhao-Ping Li
- Center for Human Nutrition, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Chang Wang
- Cancer Center, The First Hospital, Jilin University, Changchun, China
| | - Hong-Xia Xu
- Department of Clinical Nutrition, Daping Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Chun-Hua Song
- Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Cheng-Le Zhuang
- Department of Gastrointestinal Surgery, Shanghai Tenth People's Hospital, Tongji University, Shanghai, China
| | - Qi Zhang
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Wei Li
- Cancer Center, The First Hospital, Jilin University, Changchun, China
| | - Han-Ping Shi
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.,Department of Oncology, Capital Medical University, Beijing, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
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Ruan GT, Xie HL, Zhang HY, Liu CA, Ge YZ, Zhang Q, Wang ZW, Zhang X, Tang M, Song MM, Zhang XW, Yang M, Chen YB, Yu KY, Deng L, Gong YZ, Hu W, Wang KH, Cong MH, Shi HP. A Novel Inflammation and Insulin Resistance Related Indicator to Predict the Survival of Patients With Cancer. Front Endocrinol (Lausanne) 2022; 13:905266. [PMID: 35795140 PMCID: PMC9252441 DOI: 10.3389/fendo.2022.905266] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2022] [Accepted: 05/18/2022] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Systemic inflammation and insulin resistance (IR) are closely related in patients with cancer. However, there is no relevant indicator that combines inflammation and IR to predict patient prognosis. Therefore, this study aimed to develop and validate a novel inflammation- and IR-related marker in patients with cancer. METHODS The total cohort of this study included 5221 patients with cancer, and the training and validation cohorts were randomized in a 7:3 ratio. C-reactive protein (CRP) and fasting triglyceride glucose (TyG) were used to reflect patients' inflammation and IR status, respectively. The CRP-TyG index (CTI) was composed of CRP and TyG. The concordance (C)-index, receiver operator characteristic (ROC) curve, and calibration curve reflected the prognostic predictive power of CTI. Univariate and multivariate survival analyses predicted the prognostic value of CTI in patients with cancer. RESULTS The C-indices of CTI in patients with cancer were 0.636, 0.617, and 0.631 in the total, training, and validation cohorts, respectively. The 1-, 3-, and 5-year ROC and calibration curves showed that CTI had a good predictive ability of survival in patients with cancer. Meanwhile, patients with high CTI had a worse prognosis compared to patients with low CTI (total cohort: hazard ratio [HR] = 1.46, 95% confidence interval [95% CI] = 1.33-1.59; training cohort: HR = 1.36, 95% CI = 1.22-1.52; validation cohort: HR = 1.73, 95% CI = 1.47-2.04]. CONCLUSION The CTI is a useful prognostic indicator of poor prognosis and a promising tool for treatment strategy decision-making in patients with cancer.
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Affiliation(s)
- Guo-Tian Ruan
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
| | - Hai-Lun Xie
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
| | - He-Yang Zhang
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
| | - Chen-An Liu
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
| | - Yi-Zhong Ge
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
| | - Qi Zhang
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
| | - Zi-Wen Wang
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
| | - Xi Zhang
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
| | - Meng Tang
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
| | - Meng-Meng Song
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
| | - Xiao-Wei Zhang
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
| | - Ming Yang
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
| | - Yong-Bing Chen
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
| | - Kai-Ying Yu
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
| | - Li Deng
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
| | - Yi-Zhen Gong
- Department of Gastrointestinal Surgery, Guangxi Medical University Cancer Hospital, Nanning, China
- Guangxi Clinical Research Center for Colorectal Cancer, Nanning, China
| | - Wen Hu
- Clinical Nutrition Department, Sichuan University West China Hospital, Chengdu, China
| | - Kun-Hua Wang
- Yunnan University, Kunming, China
- General Surgery Clinical Medical Center of Yunnan Province, Kunming, China
- *Correspondence: Han-Ping Shi, ; Kun-Hua Wang, ; Ming-Hua Cong,
| | - Ming-Hua Cong
- Comprehensive Oncology Department, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- *Correspondence: Han-Ping Shi, ; Kun-Hua Wang, ; Ming-Hua Cong,
| | - Han-Ping Shi
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- Key Laboratory of Cancer Food for Special Medical Purposes (FSMP) for State Market Regulation, Beijing, China
- *Correspondence: Han-Ping Shi, ; Kun-Hua Wang, ; Ming-Hua Cong,
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Liu XY, Zhang X, Zhang Q, Xie HL, Ruan GT, Liu T, Song MM, Ge YZ, Xu HX, Song CH, Shi HP. The value of the controlling nutritional status score in predicting the prognosis of patients with lung cancer: A multicenter, retrospective study. JPEN J Parenter Enteral Nutr 2021; 46:1343-1352. [PMID: 34961947 DOI: 10.1002/jpen.2321] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
BACKGROUND The body's immune-nutritional status affects prognosis in patients with lung cancer. The Controlling Nutritional Status (CONUT) score is an immune-nutrition-related index associated with prognosis in other tumors. We aimed to assess the value of CONUT in predicting prognosis in patients with lung cancer. METHODS In this retrospective multicenter study, 1,339 patients with lung cancer were divided into low- and high-CONUT score groups. The relationship between CONUT scores and overall survival (OS) was assessed by survival curves and Cox's proportional hazards regression modelling. A nomogram including CONUT and other clinical variables was established. RESULTS There were 659 (49.2%; mean age 59.91 years) low- and 680 (50.8%; mean age 62.23 years) high-CONUT score patients. OS was significantly worse in patients with high than in those with low CONUT scores (P < 0.001), even after stratification by pathological types (non-small-cell lung cancer and small-cell lung cancer) and Tumor-Node-Metastasis (TNM) stages. A high CONUT score independently predicted risk in patients with lung cancer (adjusted hazard ratio: 1.48, 95% confidence interval: 1.26-1.73; P < 0.001). The CONUT-based nomogram could predict prognosis well (C-index: 0.701), with better resolution and accuracy than TNM staging for predicting OS at 1, 2, and 3 years (Area under the ROC curve: 0.735 vs. 0.678; 0.742 vs. 0.696; and 0.768 vs. 0.743). CONCLUSION The CONUT score can predict prognosis in patients with lung cancer. A CONUT-based nomogram can improve the accuracy of survival prediction in such patients. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Xiao-Yue Liu
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Xi Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China.,Department of Radiotherapy, Affiliated Hospital of Hebei University, Baoding, 071000, China
| | - Qi Zhang
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Hai-Lun Xie
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Guo-Tian Ruan
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Tong Liu
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Meng-Meng Song
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Yi-Zhong Ge
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Hong-Xia Xu
- Department of Clinical Nutrition, Daping Hospital, Army Medical University, Chongqing, 400042, China
| | - Chun-Hua Song
- Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, Henan, 450001, China
| | - Han-Ping Shi
- Department of Gastrointestinal Surgery/Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China.,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
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50
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Zhang Q, Li XR, Zhang X, Ding JS, Liu T, Qian L, Song MM, Song CH, Barazzoni R, Tang M, Wang KH, Xu HX, Shi HP. PG-SGA SF in nutrition assessment and survival prediction for elderly patients with cancer. BMC Geriatr 2021; 21:687. [PMID: 34893024 PMCID: PMC8665602 DOI: 10.1186/s12877-021-02662-4] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2021] [Accepted: 11/24/2021] [Indexed: 12/25/2022] Open
Abstract
Background This study was sought to report the prevalence of malnutrition in elderly patients with cancer. Validate the predictive value of the nutritional assessment tool (Patient-Generated Subjective Global Assessment Short Form, PG-SGA SF) for clinical outcomes and assist the therapeutic decision. Methods This is a secondary analysis of a multicentric, observational cohort study. Elderly patients with cancer older than 65 years were enrolled after the first admission. Nutritional status was identified using the PG-SGA SF. Results Of the 2724 elderly patients included in the analysis, 65.27% of patients were male (n = 1778); the mean age was 71.00 ± 5.36 years. 31.5% of patients were considered malnourished according to PG-SGA SF. In multivariate analysis, malnutrition(PG-SGA SF > 5) was significantly associated with worse OS (HR: 1.47,95%CI:1.29–1.68), affects the quality of life, and was related to more frequent nutrition impact symptoms. During a median follow-up of 4.5 years, 1176 death occurred. The mortality risk was 41.10% for malnutrition during the first 12 months and led to a rate of 323.98 events per-1000-patient-years. All nutritional assessment tools were correlated with each other (PG-SGA SF vs. PG-SGA: r = 0.98; PG-SGA SF vs. GLIM[Global Leadership Initiative on Malnutrition]: r = 0.48, all P < 0.05). PG-SGA SF and PG-SGA performed similarly to predict mortality but better than GLIM. PG-SGA SF improves the predictive ability of the TNM classification system for mortality in elderly patients with cancer, including distinguishing patients’ prognoses and directing immunotherapy. Conclusions The nutritional status as measured by PG-SGA SF which is a prognostic factor for OS in elderly cancer patients and could improve the prognostic model of TNM. Supplementary Information The online version contains supplementary material available at 10.1186/s12877-021-02662-4.
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Affiliation(s)
- Qi Zhang
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China.,Capital Medical University, Beijing, 100038, China
| | - Xiang-Rui Li
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China
| | - Xi Zhang
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China
| | - Jia-Shan Ding
- Department of Obstetrics and Gynecology, the First Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, China
| | - Tong Liu
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China
| | - Liang Qian
- Department of Obstetrics and Gynecology, Hangzhou Women's hospital/ Hangzhou Maternal and Child Health Hospital/ Hangzhou First People's Hospital Qianjiang New City Campus, Hangzhou, 310008, China
| | - Meng-Meng Song
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China
| | - Chun-Hua Song
- Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, China
| | - Rocco Barazzoni
- Department of Medical, Surgical and Health Sciences - University of Trieste, Trieste, Italy
| | - Meng Tang
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China
| | - Kun-Hua Wang
- Department of Gastrointestinal Surgery, Institute of Gastroenterology, the First Affiliated Hospital of Kunming Medical University, Kunming, 650032, Yunnan, China
| | - Hong-Xia Xu
- Department of Clinical Nutrition, Daping Hospital, Army Medical University, Chongqing, 400042, China
| | - Han-Ping Shi
- Department of Gastrointestinal Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China. .,Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China. .,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China.
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