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Ghai S. Unveiling the impact of immunonutrition and BMI on cancer outcomes: A complex connection worthy of in-depth investigation. Nutr Clin Pract 2024; 39:254-255. [PMID: 37925650 DOI: 10.1002/ncp.11088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2023] [Accepted: 10/07/2023] [Indexed: 11/07/2023] Open
Affiliation(s)
- Suhani Ghai
- Department of Head and Neck Oncosurgery, Shree Aggarsain Internation Hospital, Rohini, New Delhi, India
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2
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MacDonald M, Poei D, Leyba A, Diep R, Chennapan K, Leon C, Xia B, Nieva JJ, Hsu R. Real world prognostic utility of platelet lymphocyte ratio and nutritional status in first-line immunotherapy response in stage IV non-small cell lung cancer. Cancer Treat Res Commun 2023; 36:100752. [PMID: 37611343 PMCID: PMC11160511 DOI: 10.1016/j.ctarc.2023.100752] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 07/25/2023] [Accepted: 08/14/2023] [Indexed: 08/25/2023]
Abstract
BACKGROUND Elevated platelet lymphocyte ratio (PLR) and low body mass index (BMI) are associated with inferior survival in non-small cell lung cancer (NSCLC) patients receiving immunotherapy (IO). We evaluated real-world prognostic utility of PLR, BMI, and albumin level in stage IV NSCLC patients receiving first line (1L) IO. METHODS We identified 75 stage IV patients who received 1L IO therapy at USC Norris Comprehensive Cancer Center and Los Angeles General Medical Center from 2015 to 2022. The primary outcome was overall survival (OS) from time of IO with attention to pre-treatment BMI < 22, albumin < 3.5 g/dL, and PLR > 180. RESULTS Median age was 66.5 years with 49 (65.3%) males. 25 (33.3%) had BMI < 22. 45/75 (60%) had PLR > 180. Patients with BMI < 22 had inferior OS (13.1 months (m) vs. 37.4 m in BMI > 28, p-value = 0.042) along with patients with albumin<3.5 g/dL (OS: 2.8 m vs. 14.6 m, p-value = 0.0027), and patients with PLR>180 (OS: 8.7 m vs. 23.0 m, p = 0.028). Composite BMI < 22, PLR > 180 had the worst OS, p-value = 0.0331. Multivariate analysis controlling for age, smoking, gender, PD-L1 tumor proportion score (TPS), and histology (adenocarcinoma, squamous, adenosquamous, and large cell) showed that BMI (HR: 0.8726, 95% CI: 0.7892-0.954) and PLR > 180 (HR: 2.48, 95% CI: 1.076-6.055) were significant in OS mortality risk. CONCLUSION Patients with a composite of BMI < 22, albumin < 3.5 g/dL, and PLR > 180 had significantly worse OS. This highlights the importance of screening for poor nutritional status and high PLR to better inform stage IV NSCLC patients receiving IO therapy of their prognosis and supportive care. MICROABSTRACT We evaluated real-world prognostic utility of platelet lymphocyte ratio (PLR), body mass index (BMI), and albumin level in 75 Stage IV NSCLC patients receiving first line IO. Patients with a composite of BMI < 22, albumin < 3.5 g/dL, and PLR > 180 had significantly worse OS. This highlights the importance of screening for poor nutritional status and high PLR to better inform stage IV NSCLC patients of their prognosis and to emphasize supportive care needs.
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Affiliation(s)
- Madeline MacDonald
- Department of Internal Medicine, University of Southern California, Los Angeles, CA, United States
| | - Darin Poei
- Department of Internal Medicine, University of Southern California, Los Angeles, CA, United States
| | - Alexis Leyba
- Department of Internal Medicine, University of Southern California, Los Angeles, CA, United States
| | - Raymond Diep
- California University of Science and Medicine SOM, Colton, CA, United States
| | - Krithika Chennapan
- Department of Internal Medicine, University of Southern California, Los Angeles, CA, United States
| | - Christopher Leon
- Department of Surgery, University of Southern California, Los Angeles, CA, United States
| | - Bing Xia
- Department of Internal Medicine, Division of Medical Oncology, University of Southern California/Norris Comprehensive Cancer Center, Los Angeles, CA, United States
| | - Jorge J Nieva
- Department of Internal Medicine, Division of Medical Oncology, University of Southern California/Norris Comprehensive Cancer Center, Los Angeles, CA, United States
| | - Robert Hsu
- Department of Internal Medicine, Division of Medical Oncology, University of Southern California/Norris Comprehensive Cancer Center, Los Angeles, CA, United States.
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Zhang C, Zhou L, Li S, Zhao J, Meng X, Ma L, Wang Y, Li C, Zheng L, Ming L. Obesity accelerates immune evasion of non-small cell lung carcinoma via TFEB-dependent upregulation of Siglec-15 and glycolytic reprogramming. Cancer Lett 2022; 550:215918. [PMID: 36150633 DOI: 10.1016/j.canlet.2022.215918] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Revised: 08/26/2022] [Accepted: 09/09/2022] [Indexed: 11/02/2022]
Abstract
Although obesity contributes to tumor incidence and progression in various cancers, whether obesity impacts the tumor microenvironment (TME) of non-small cell lung cancer (NSCLC) remains largely under-explored. We generated NSCLC xenograft model in diet-induced obese mice and identified that TFEB is critical to accelerate obesity-related NSCLC progression with mimic intrinsic functions on tumor biology. Mechanically, TFEB binds directly to Siglec-15 promoter to upregulate Siglec-15 expression and binds to Hk2 and Ldha promoters to enhance glycolytic flux in NSCLC cells, which restrain the expansion and cytotoxic function of CD8+ T cells while maintain suppressive Treg cells in TME, jointly promoting immune evasion of NSCLC cells in obesity. Blocking tumor TFEB improves the therapeutic efficiency of anti-PD-1 in obese mice. Altogether, our data identify essential roles of TFEB in remodeling immunosuppressive TME and promoting NSCLC development in obesity, providing scientific rational for TFEB as a potential biomarker to predict immune checkpoint blockade efficiency in obese NSCLC patients.
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Affiliation(s)
- Cai Zhang
- Department of Clinical Laboratory, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China; Key Clinical Laboratory of Henan Province, Zhengzhou, 450052, China
| | - Lijie Zhou
- Department of Urology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Songyang Li
- Department of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Junwei Zhao
- Department of Clinical Laboratory, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China; Key Clinical Laboratory of Henan Province, Zhengzhou, 450052, China
| | - Xianchun Meng
- Department of Clinical Laboratory, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China; Key Clinical Laboratory of Henan Province, Zhengzhou, 450052, China
| | - Liwei Ma
- Department of Clinical Laboratory, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China; Key Clinical Laboratory of Henan Province, Zhengzhou, 450052, China
| | - Yongfeng Wang
- Department of Clinical Laboratory, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China; Key Clinical Laboratory of Henan Province, Zhengzhou, 450052, China
| | - Cai Li
- Department of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Lu Zheng
- Department of Neurobiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Liang Ming
- Department of Clinical Laboratory, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China; Key Clinical Laboratory of Henan Province, Zhengzhou, 450052, China.
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Chen X, Deng Y, Huang C, Shi Y, Lu J, Weng G, Zhu W, Zhu K, Chen J, Li J. RUNX3/H3K27me3 Co-Expression Defines a Better Prognosis in Surgically Resected Stage I and Postoperative Chemotherapy-Naive Non-Small-Cell Lung Cancer. JOURNAL OF ONCOLOGY 2022; 2022:5752263. [PMID: 35368900 PMCID: PMC8970863 DOI: 10.1155/2022/5752263] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Revised: 12/20/2021] [Accepted: 12/27/2021] [Indexed: 11/17/2022]
Abstract
The purpose of this study is to investigate the significance of RUNX3/H3K27me3 co-expression in surgically resected non-small-cell lung cancer (NSCLC) patients. Using tissue microarray (TMA), immunohistochemistry, fluorescent double immunostaining, and western blotting, 208 NSCLC and 5 benign pulmonary patients were studied of their expression of runt-related transcription factor 3 (RUNX3), trimethylated histone H3 at lysine 27 (H3K27me3), enhancer of zeste homolog 2 (EZH2), and Ki-67. Apoptotic index in cancerous tissue was evaluated via TdT-mediated dUTP-biotin nick end labeling (TUNEL). The correlation between clinicopathologic parameters and overall survival was determined by Cox regression and Kaplan-Meier survival estimates and log-rank test. GEPIA and KM plotter were used for validation of some survival analyses. As a result, together with other regular prognostic factors, RUNX3/H3K27me3 co-expression was found to be closely correlated with better prognosis in either pTNM-I or POCT-naive NSCLC patients, which might partially result from a higher cancerous apoptotic index. In conclusion, RUNX3/H3K27me3 co-expression defined some specific NSCLC population with better prognosis and longer OS and could probably be used as a biomarker in the prediction of better postoperative outcomes.
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Affiliation(s)
- Xiaohui Chen
- Department of Thoracic Surgery, Fujian Medical University Cancer Hospital, Fujian Cancer Hospital, Fuzhou, Fujian 350014, China
- College of Clinical Medicine for Oncology, Fujian Medical University, Fuzhou, China
- Graduate School of Fujian Medical University, Fuzhou, China
| | - Yujie Deng
- Department of Medical Oncology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian 350005, China
| | - Chuanzhong Huang
- Laboratory of Immuno-Oncology, Fujian Medical University Cancer Hospital, Fujian Cancer Hospital, Fuzhou, Fujian 350014, China
| | - Yi Shi
- Department of Pathology, Fujian Medical University Cancer Hospital, Fujian Cancer Hospital, Fuzhou, Fujian 350014, China
| | - Jianping Lu
- Department of Pathology, Fujian Medical University Cancer Hospital, Fujian Cancer Hospital, Fuzhou, Fujian 350014, China
| | - Guibin Weng
- Department of Thoracic Surgery, Fujian Medical University Cancer Hospital, Fujian Cancer Hospital, Fuzhou, Fujian 350014, China
| | - Weifeng Zhu
- Department of Pathology, Fujian Medical University Cancer Hospital, Fujian Cancer Hospital, Fuzhou, Fujian 350014, China
| | - Kunshou Zhu
- Department of Thoracic Surgery, Fujian Medical University Cancer Hospital, Fujian Cancer Hospital, Fuzhou, Fujian 350014, China
| | - Junqiang Chen
- College of Clinical Medicine for Oncology, Fujian Medical University, Fuzhou, China
- Graduate School of Fujian Medical University, Fuzhou, China
- Department of Radiation Oncology, Fujian Medical University Cancer Hospital, Fujian Cancer Hospital, Fuzhou, Fujian 350014, China
| | - Jiancheng Li
- College of Clinical Medicine for Oncology, Fujian Medical University, Fuzhou, China
- Graduate School of Fujian Medical University, Fuzhou, China
- Department of Radiation Oncology, Fujian Medical University Cancer Hospital, Fujian Cancer Hospital, Fuzhou, Fujian 350014, China
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Nemesure B, Albano D, Nemesure A. Short- and long-term survival outcomes among never smokers who developed lung cancer. Cancer Epidemiol 2021; 75:102042. [PMID: 34571392 DOI: 10.1016/j.canep.2021.102042] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Revised: 09/13/2021] [Accepted: 09/14/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND Lung cancer is the leading cause of cancer death in the US. While an extensive literature exists detailing lung cancer risk factors and mortality among patients with a history of tobacco use, the data are more limited among individuals who have never smoked. The purpose of this investigation is to compare survival rates between the two groups and evaluate potential risk factors among never smokers. METHODS This retrospective study included 3380 smokers and 334 never smokers who were diagnosed with lung cancer at Stony Brook University Hospital between 2003 and 2016. 1-, 3-, 5- and 10-year survival outcomes, stratified by smoking status, were compared and Kaplan-Meier curves for overall survival are provided. Cox Proportional Hazard models were used to evaluate factors influencing survival among never smokers. RESULTS Never smokers with lung cancer were more likely to be female, be diagnosed with adenocarcinoma histology, and had fewer comorbidities than lung cancer patients who smoked. Although 60% of patients were diagnosed at a later stage of disease development, regardless of smoking status, overall short- and long-term survival was significantly higher among never smokers compared to those with a history of tobacco use. In addition to age and stage at diagnosis, a history of diabetes was found to be a significant prognostic factor for decreased survival among never smokers (HR=3.15, 95% CI (1.74, 5.71)). CONCLUSIONS Data from the present investigation suggest that, regardless of smoking status, approximately three of every five lung cancer patients are diagnosed at a later stage, and that both short- and long-term survival outcomes are significantly better among never smokers compared to those with a history of tobacco use. Additional studies are required to validate these findings and better explain the mechanistic drivers for the improved outcomes among never smokers.
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Affiliation(s)
- Barbara Nemesure
- Department of Family, Population and Preventive Medicine, Stony Brook Medicine, 100 Nicolls Road - Health Sciences Center, Level 3, Stony Brook, NY 11794-8036, United States.
| | - Denise Albano
- Department of Surgery, Stony Brook Medicine, 100 Nicolls Road - Health Sciences Center, Level 19, Stony Brook, NY 11794-8191, United States.
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Shukla S, Babcock Z, Pizzi L, Brunetti L. Impact of body mass index on survival and serious adverse events in advanced non-small cell lung cancer treated with bevacizumab: a meta-analysis of randomized clinical trials. Curr Med Res Opin 2021; 37:811-817. [PMID: 33685311 DOI: 10.1080/03007995.2021.1900091] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
PURPOSE Lung cancer accounts for 28% of all cancer deaths, more deaths than any other cancer in the United States. The influence of body composition has been evaluated in several studies, specifically, the influence of obesity on lung cancer survival. Outcomes have been mixed, with some studies demonstrating a paradoxical beneficial effect in early lung cancer where survival is improved in obese patients. The study aim was to evaluate the impact of obesity on overall survival (OS), progression free survival (PFS), and occurrence of serious adverse events (SAE) in clinical trials evaluating bevacizumab for advanced non-small cell lung cancer (NSCLC). METHODS We performed a post hoc analysis combining available individual level data from bevacizumab randomized clinical trials available through the Clinical Study Data Request database. The primary outcome measured in our analysis was the influence of bevacizumab on OS stratified by body mass index (BMI). In addition to OS, both PFS and the occurrence of SAE requiring therapy interruption were evaluated. All endpoints were evaluated in patients who were obese (BMI ≥30.0 kg/m2) compared with non-obese (BMI <30.0 kg/m2). As a sensitivity analysis, endpoints were also evaluated in patients who were overweight (BMI ≥25.0 kg/m2) compared with non-overweight (BMI <25.0 kg/m2). In addition to analysis of each individual study, a meta-analysis was performed in order to calculate pooled hazard ratios (HR). Hazard ratios for both OS and PFS were calculated using multivariable Cox proportional hazards models. Odds ratios for SAE were calculated using multivariable logistic regression. The validity of the regression models was tested using a log-log plot and overall fit using the goodness of fit test. RESULTS After adjusting for covariates using a Cox proportional hazards model and combining the resulting adjusted hazard ratios using meta-analysis, there was no significant difference between obese and non-obese groups for OS or PFS. In addition, when treatment discontinuation due to an adverse event was assessed, none of the trials showed a significant difference between the obese and non-obese groups. CONCLUSION In this analysis of clinical trial data, obesity was not associated with worse survival versus non-obese individuals in advanced NSCLC. In addition, serious adverse events were similar between patients with and without obesity.
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Affiliation(s)
- Soham Shukla
- Center for Health Economics and Outcomes Research, The State University of New Jersey, Rutgers, NJ, USA
| | - Zachary Babcock
- Center for Health Economics and Outcomes Research, The State University of New Jersey, Rutgers, NJ, USA
| | - Laura Pizzi
- Center for Health Economics and Outcomes Research, The State University of New Jersey, Rutgers, NJ, USA
| | - Luigi Brunetti
- Pharmacy Practice and Administration, Ernest Mario School of Pharmacy, The State University of New Jersey, Rutgers, NJ, USA
- Center of Excellence in Pharmaceutical Translational Research and Education, Ernest Mario School of Pharmacy, The State University of New Jersey, Rutgers, NJ, USA
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7
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Petrelli F, Cortellini A, Indini A, Tomasello G, Ghidini M, Nigro O, Salati M, Dottorini L, Iaculli A, Varricchio A, Rampulla V, Barni S, Cabiddu M, Bossi A, Ghidini A, Zaniboni A. Association of Obesity With Survival Outcomes in Patients With Cancer: A Systematic Review and Meta-analysis. JAMA Netw Open 2021; 4:e213520. [PMID: 33779745 PMCID: PMC8008284 DOI: 10.1001/jamanetworkopen.2021.3520] [Citation(s) in RCA: 289] [Impact Index Per Article: 72.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Accepted: 02/08/2021] [Indexed: 12/11/2022] Open
Abstract
Importance Obesity, defined as a body mass index (BMI) greater than 30, is associated with a significant increase in the risk of many cancers and in overall mortality. However, various studies have suggested that patients with cancer and no obesity (ie, BMI 20-25) have worse outcomes than patients with obesity. Objective To assess the association between obesity and outcomes after a diagnosis of cancer. Data Sources PubMed, the Cochrane Library, and EMBASE were searched from inception to January 2020. Study Selection Studies reporting prognosis of patients with obesity using standard BMI categories and cancer were included. Studies that used nonstandard BMI categories, that were limited to children, or that were limited to patients with hematological malignant neoplasms were excluded. Screening was performed independently by multiple reviewers. Among 1892 retrieved studies, 203 (17%) met inclusion criteria for initial evaluation. Data Extraction and Synthesis The Meta-analysis of Observational Studies in Epidemiology (MOOSE) and Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) reporting guidelines were reporting guideline was followed. Data were extracted by multiple independent reviewers. Risk of death, cancer-specific mortality, and recurrence were pooled to provide an adjusted hazard ratio (HR) with a 95% CI . A random-effects model was used for the retrospective nature of studies. Main Outcomes and Measures The primary outcome of the study was overall survival (OS) in patients with cancer, with and without obesity. Secondary end points were cancer-specific survival (CSS) and progression-free survival (PFS) or disease-free survival (DFS). The risk of events was reported as HRs with 95% CIs, with an HR greater than 1 associated with a worse outcome among patients with obesity vs those without. Results A total of 203 studies with 6 320 365 participants evaluated the association of OS, CSS, and/or PFS or DFS with obesity in patients with cancer. Overall, obesity was associated with a reduced OS (HR, 1.14; 95% CI, 1.09-1.19; P < .001) and CSS (HR, 1.17; 95% CI, 1.12-1.23; P < .001). Patients were also at increased risk of recurrence (HR, 1.13; 95% CI, 1.07-1.19; P < .001). Conversely, patients with obesity and lung cancer, renal cell carcinoma, or melanoma had better survival outcomes compared with patients without obesity and the same cancer (lung: HR, 0.86; 95% CI, 0.76-0.98; P = .02; renal cell: HR, 0.74; 95% CI, 0.53-0.89; P = .02; melanoma: HR, 0.74; 95% CI, 0.57-0.96; P < .001). Conclusions and Relevance In this study, obesity was associated with greater mortality overall in patients with cancer. However, patients with obesity and lung cancer, renal cell carcinoma, and melanoma had a lower risk of death than patients with the same cancers without obesity. Weight-reducing strategies may represent effective measures for reducing mortality in these patients.
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Affiliation(s)
- Fausto Petrelli
- Oncology Unit, Azienda Socio Sanitaria Territoriale Bergamo Ovest, Treviglio, Italy
| | - Alessio Cortellini
- Oncology Unit, Department of Biotechnology and Applied Clinical Sciences, San Salvatore Hospital, University of L’Aquila, L’Aquila, Italy
| | - Alice Indini
- Oncology Unit, Fondazione Istituto di Ricovero e Cura a Carattere Scientifico Ospedale Maggiore Policlinico, Milano, Italy
| | - Gianluca Tomasello
- Oncology Unit, Fondazione Istituto di Ricovero e Cura a Carattere Scientifico Ospedale Maggiore Policlinico, Milano, Italy
| | - Michele Ghidini
- Oncology Unit, Fondazione Istituto di Ricovero e Cura a Carattere Scientifico Ospedale Maggiore Policlinico, Milano, Italy
| | - Olga Nigro
- Oncology Unit, Azienda Socio Sanitaria Territoriale Sette Laghi, Ospedale di Circolo, Varese, Italy
| | - Massimiliano Salati
- Oncology Unit, University Hospital of Modena, Modena Cancer Centre, Modena, Italy
| | - Lorenzo Dottorini
- Oncology Unit, Azienda Socio Sanitaria Territoriale Bergamo Est, Seriate, Italy
| | - Alessandro Iaculli
- Oncology Unit, Azienda Socio Sanitaria Territoriale Bergamo Est, Seriate, Italy
| | - Antonio Varricchio
- Surgical Oncology Unit, Azienda Socio Sanitaria Territoriale Bergamo Ovest, Treviglio, Italy
| | - Valentina Rampulla
- Surgical Oncology Unit, Azienda Socio Sanitaria Territoriale Bergamo Ovest, Treviglio, Italy
| | - Sandro Barni
- Oncology Unit, Azienda Socio Sanitaria Territoriale Bergamo Ovest, Treviglio, Italy
| | - Mary Cabiddu
- Oncology Unit, Azienda Socio Sanitaria Territoriale Bergamo Ovest, Treviglio, Italy
| | - Antonio Bossi
- Endocrine Diseases Unit–Diabetes Regional Center, Azienda Socio Sanitaria Territoriale Bergamo Ovest, Treviglio, Italia
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Peng SM, Yu N, Ren JJ, Xu JY, Chen GC, Yang JR, Li ZN, Du HZ, Li DP, Zhang YS, Qin LQ. The Geriatric Nutritional Risk Index as a Prognostic Factor in Patients with Advanced Non-Small-Cell Lung Cancer. Nutr Cancer 2020; 73:2832-2841. [PMID: 33356605 DOI: 10.1080/01635581.2020.1865423] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
The Geriatric Nutritional Risk Index (GNRI) is widely applied as a prognostic factor in different cancers. We aimed to analyze the prognostic value of the GNRI in 257 patients diagnosed with advanced non-small-cell lung cancer (NSCLC). Patients with GNRI >98, 92-98, and <92 were grouped into normal, low risk and moderate/high risk groups, respectively. There were 45.1% patients at risk for malnutrition. Kaplan-Meier survival curves indicated that patients with lower GNRI scores had a poorer overall survival (OS). Two-year OS for normal, low risk and moderate/high risk groups were 57.4%, 42.3% and 15.8%, respectively. In multivariate survival analysis, GNRI (<92), body mass index (BMI, ≥24 kg/m2), combined therapy, hemoglobin and neutrophil-to-lymphocyte ratio (NLR) were independent prognostic factors of OS. Stratifying by age groups, GNRI (<92), hemoglobin and NLR were independent prognostic factors of OS in patients aged <65 years. GNRI (<92), smoking, BMI (≥24 kg/m2) and platelet-to-lymphocyte ratio were independent prognostic factors of OS in patients aged ≥65 years. In conclusion, GNRI was a significant prognostic factor in advanced NSCLC patients regardless of age. A decreased GNRI may be considered as a clinical trigger for nutritional support in advanced NSCLC patients, though additional studies are still required to confirm the best cut-point.
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Affiliation(s)
- Si-Min Peng
- Department of Nutrition and Food Hygiene, School of Public Health, Soochow University, Suzhou, China
| | - Na Yu
- Department of Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Jin-Jin Ren
- Department of Nutrition and Food Hygiene, School of Public Health, Soochow University, Suzhou, China
| | - Jia-Ying Xu
- State Key Laboratory of Radiation Medicine and Protection, Collaborative Innovation Center of Radiation Medicine of Jiangsu Higher Education Institutions, School of Radiation Medicine and Protection, Soochow University, Suzhou, China
| | - Guo-Chong Chen
- Department of Nutrition and Food Hygiene, School of Public Health, Soochow University, Suzhou, China
| | - Jin-Rong Yang
- Department of Nutrition and Food Hygiene, School of Public Health, Soochow University, Suzhou, China
| | - Zeng-Ning Li
- Department of Clinical Nutrition, The First Hospital of Hebei Medical University, Shijiazhuang, China
| | - Hong-Zhen Du
- Department of Clinical Nutrition, The First Hospital of Hebei Medical University, Shijiazhuang, China
| | - Da-Peng Li
- Department of Oncology, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Yu-Song Zhang
- Department of Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Li-Qiang Qin
- Department of Nutrition and Food Hygiene, School of Public Health, Soochow University, Suzhou, China
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Trestini I, Gkountakos A, Carbognin L, Avancini A, Lanza M, Molfino A, Friso S, Corbo V, Tortora G, Scarpa A, Milella M, Bria E, Pilotto S. Muscle derangement and alteration of the nutritional machinery in NSCLC. Crit Rev Oncol Hematol 2019; 141:43-53. [DOI: 10.1016/j.critrevonc.2019.06.007] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2019] [Revised: 06/08/2019] [Accepted: 06/09/2019] [Indexed: 01/06/2023] Open
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10
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Shepshelovich D, Xu W, Lu L, Fares A, Yang P, Christiani D, Zhang J, Shiraishi K, Ryan BM, Chen C, Schwartz AG, Tardon A, Wu X, Schabath MB, Teare MD, Le Marchand L, Zhang ZF, Field JK, Brenner H, Diao N, Xie J, Kohno T, Harris CC, Wenzlaff AS, Fernandez-Tardon G, Ye Y, Taylor F, Wilkens LR, Davies M, Liu Y, Barnett MJ, Goodman GE, Morgenstern H, Holleczek B, Brown MC, Liu G, Hung RJ. Body Mass Index (BMI), BMI Change, and Overall Survival in Patients With SCLC and NSCLC: A Pooled Analysis of the International Lung Cancer Consortium. J Thorac Oncol 2019; 14:1594-1607. [PMID: 31163278 PMCID: PMC6734935 DOI: 10.1016/j.jtho.2019.05.031] [Citation(s) in RCA: 84] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2018] [Revised: 04/27/2019] [Accepted: 05/21/2019] [Indexed: 01/09/2023]
Abstract
INTRODUCTION The relationships between morbid obesity, changes in body mass index (BMI) before cancer diagnosis, and lung cancer outcomes by histology (SCLC and NSCLC) have not been well studied. METHODS Individual level data analysis was performed on 25,430 patients with NSCLC and 2787 patients with SCLC from 16 studies of the International Lung Cancer Consortium evaluating the association between various BMI variables and lung cancer overall survival, reported as adjusted hazard ratios (aHRs) from Cox proportional hazards models and adjusted penalized smoothing spline plots. RESULTS Overall survival of NSCLC had putative U-shaped hazard ratio relationships with BMI based on spline plots: being underweight (BMI < 18.5 kg/m2; aHR = 1.56; 95% confidence interval [CI]:1.43-1.70) or morbidly overweight (BMI > 40 kg/m2; aHR = 1.09; 95% CI: 0.95-1.26) at the time of diagnosis was associated with worse stage-specific prognosis, whereas being overweight (25 kg/m2 ≤ BMI < 30 kg/m2; aHR = 0.89; 95% CI: 0.85-0.95) or obese (30 kg/m2 ≤ BMI ≤ 40 kg/m2; aHR = 0.86; 95% CI: 0.82-0.91) was associated with improved survival. Although not significant, a similar pattern was seen with SCLC. Compared with an increased or stable BMI from the period between young adulthood until date of diagnosis, a decreased BMI was associated with worse outcomes in NSCLC (aHR = 1.24; 95% CI: 1.2-1.3) and SCLC patients (aHR=1.26 (95% CI: 1.0-1.6). Decreased BMI was consistently associated with worse outcome, across clinicodemographic subsets. CONCLUSIONS Both being underweight or morbidly obese at time of diagnosis is associated with lower stage-specific survival in independent assessments of NSCLC and SCLC patients. In addition, a decrease in BMI at lung cancer diagnosis relative to early adulthood is a consistent marker of poor survival.
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Affiliation(s)
- Daniel Shepshelovich
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre; University of Toronto, Toronto, Ontario, Canada; Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Wei Xu
- Department of Biostatistics, Princess Margaret Cancer Centre, Toronto, Ontario, Canada; Division of Biostatistics, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Lin Lu
- Department of Biostatistics, Princess Margaret Cancer Centre, Toronto, Ontario, Canada
| | - Aline Fares
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre; University of Toronto, Toronto, Ontario, Canada
| | | | - David Christiani
- Environmental Health Department, Harvard TH Chan School of Public Health and Harvard Medical School, Boston, Massachusetts
| | - Jie Zhang
- Department of Cardiothoracic Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania; Department of Thoracic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Kouya Shiraishi
- Division of Genome Biology, National Cancer Research Institute, Tokyo, Japan
| | - Brid M Ryan
- Centre for Cancer Research, National Institutes of Health, Bethesda, Maryland
| | - Chu Chen
- Program in Epidemiology, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington; Department of Epidemiology and Department of Otolaryngology: Head and Neck Surgery, University of Washington, Seattle, Washington
| | - Ann G Schwartz
- Barbara Ann Karmanos Cancer Institute, Wayne State University, Detroit, Michigan
| | | | - Xifeng Wu
- University of Texas MD Anderson Cancer Center, Houston, Texas
| | | | - M Dawn Teare
- University of Sheffield, Sheffield, United Kingdom
| | | | - Zuo-Feng Zhang
- University of California Los Angeles School of Public Health, California
| | - John K Field
- The Roy Castle Lung Cancer Programme, Department of Molecular and Clinical Cancer Medicine, University of Liverpool, United Kingdom
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany; Division of Preventive Oncology, German Cancer Research Center (DKFZ), National Center for Tumor Diseases (NCT), Heidelberg, Germany; German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Nancy Diao
- Environmental Health Department, Harvard TH Chan School of Public Health and Harvard Medical School, Boston, Massachusetts
| | - Juntao Xie
- Department of Thoracic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Takashi Kohno
- Division of Genome Biology, National Cancer Research Institute, Tokyo, Japan
| | - Curtis C Harris
- Centre for Cancer Research, National Institutes of Health, Bethesda, Maryland
| | - Angela S Wenzlaff
- Barbara Ann Karmanos Cancer Institute, Wayne State University, Detroit, Michigan
| | | | - Yuanqing Ye
- University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Fiona Taylor
- University of Sheffield, Sheffield, United Kingdom
| | | | - Michael Davies
- The Roy Castle Lung Cancer Programme, Department of Molecular and Clinical Cancer Medicine, University of Liverpool, United Kingdom
| | - Yi Liu
- PLA Hospital, Beijing, China
| | - Matt J Barnett
- Cancer Prevention Program, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | | | - Hal Morgenstern
- Departments of Epidemiology and Environmental Health Sciences, School of Public Health and Comprehensive Cancer Center, University of Michigan, Ann Arbor, Michigan
| | | | - M Catherine Brown
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre; University of Toronto, Toronto, Ontario, Canada
| | - Geoffrey Liu
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre; University of Toronto, Toronto, Ontario, Canada; Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada; Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.
| | - Rayjean J Hung
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada; Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Canada
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Kim DS, Kwon NS, Yun HY. Leucine rich repeat LGI family member 3: Integrative analyses reveal its prognostic association with non-small cell lung cancer. Oncol Lett 2019; 18:3388-3398. [PMID: 31452819 PMCID: PMC6704323 DOI: 10.3892/ol.2019.10648] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2018] [Accepted: 06/21/2019] [Indexed: 12/25/2022] Open
Abstract
Leucine rich repeat LGI family member 3 (LGI3) is a member of the LGI protein family. Our previous studies reported that LGI3 was expressed in adipose tissues, brain and skin, where it served roles as a multifunctional cytokine and pro-inflammatory adipokine. It was hypothesized that LGI3 may be involved in cytokine networks in cancer. The present study aimed to analyze differentially expressed genes in non-small cell lung cancer (NSCLC) tissues and NSCLC cohort data, to evaluate the prognostic role of LGI3. Expression microarray and NSCLC cohort data were statistically analyzed by bioinformatic methods, and protein-protein interactions, functional enrichment and pathway, gene coexpression network (GCN) and prognostic association analyses were performed. The results demonstrated that the expression levels of LGI3 and its receptor a disintegrin and metalloproteinase domain-containing protein 22 were significantly decreased in NSCLC tissues. A total of two upregulated genes and 11 downregulated genes in NSCLC tissues were identified as LGI3-regulated genes. Protein-protein interaction network analysis demonstrated that all LGI3-regulated genes that were altered in NSCLC were involved in a protein-protein interaction network cluster. Functional enrichment, Kyoto Encyclopedia of Genes and Genomes pathway and GCN analyses demonstrated the association of these genes with the immune and inflammatory responses, angiogenesis, the tumor necrosis factor pathway, and chemokine and peroxisome proliferator-activated receptor signaling pathways. Analysis of NSCLC cohorts revealed that low expression levels of LGI3 was significantly associated with poor prognosis of NSCLC. Analysis of the somatic mutations of the LGI3 gene in NSCLC revealed that the amino acid residues altered in NSCLC included two single nucleotide polymorphism sites and three phylogenetically coevolved amino acid residues. Taken together, these results suggest that LGI3 may be a potential prognostic marker of NSCLC.
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Affiliation(s)
- Dong-Seok Kim
- Department of Biochemistry, Chung-Ang University, College of Medicine, Seoul 06974, Republic of Korea
| | - Nyoun Soo Kwon
- Department of Biochemistry, Chung-Ang University, College of Medicine, Seoul 06974, Republic of Korea
| | - Hye-Young Yun
- Department of Biochemistry, Chung-Ang University, College of Medicine, Seoul 06974, Republic of Korea
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12
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Lung cancer survival among never smokers. Cancer Lett 2019; 451:142-149. [PMID: 30851418 DOI: 10.1016/j.canlet.2019.02.047] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2018] [Revised: 02/13/2019] [Accepted: 02/28/2019] [Indexed: 11/22/2022]
Abstract
Lung cancer incidence among never smokers has increased in recent decades with 10-30% of all lung cancers occurring in never smokers, where exposure to residential radon is the leading cause of this disease. Lung cancer survival is low, ranging from 12% to 16% at 5 years of diagnosis. There is scant evidence to date on survival from this disease in never smokers. We aim to evaluate lung cancer survival in never smokers and ascertain whether there might be differences regarding smokers, through a systematic review applying predefined inclusion and exclusion criteria. 17 Studies were included. Never-smoker lung cancer patients seem to experience longer survival times than do smokers or ex-smokers. Lung cancer in never smokers displays distinctive clinical characteristics, is more frequent among women, is diagnosed at more advanced stages, and the predominant histologic type is adenocarcinoma. Further studies are necessary to ascertain lung cancer survival among never smokers.
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13
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Effect of adipose tissue volume on prognosis in patients with non-small cell lung cancer. Clin Imaging 2018; 50:308-313. [DOI: 10.1016/j.clinimag.2018.05.006] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2018] [Revised: 04/24/2018] [Accepted: 05/01/2018] [Indexed: 12/30/2022]
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