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Xu W, Liang X, Chen L, Hong W, Hu X. Biobanks in chronic disease management: A comprehensive review of strategies, challenges, and future directions. Heliyon 2024; 10:e32063. [PMID: 38868047 PMCID: PMC11168399 DOI: 10.1016/j.heliyon.2024.e32063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Revised: 05/27/2024] [Accepted: 05/28/2024] [Indexed: 06/14/2024] Open
Abstract
Biobanks, through the collection and storage of patient blood, tissue, genomic, and other biological samples, provide unique and rich resources for the research and management of chronic diseases such as cardiovascular diseases, diabetes, and cancer. These samples contain valuable cellular and molecular level information that can be utilized to decipher the pathogenesis of diseases, guide the development of novel diagnostic technologies, treatment methods, and personalized medical strategies. This article first outlines the historical evolution of biobanks, their classification, and the impact of technological advancements. Subsequently, it elaborates on the significant role of biobanks in revealing molecular biomarkers of chronic diseases, promoting the translation of basic research to clinical applications, and achieving individualized treatment and management. Additionally, challenges such as standardization of sample processing, information privacy, and security are discussed. Finally, from the perspectives of policy support, regulatory improvement, and public participation, this article provides a forecast on the future development directions of biobanks and strategies to address challenges, aiming to safeguard and enhance their unique advantages in supporting chronic disease prevention and treatment.
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Affiliation(s)
- Wanna Xu
- Shenzhen Center for Chronic Disease Control, Shenzhen Institute of Dermatology, Shenzhen, 518020, China
| | - Xiongshun Liang
- Shenzhen Center for Chronic Disease Control, Shenzhen Institute of Dermatology, Shenzhen, 518020, China
| | - Lin Chen
- Shenzhen Center for Chronic Disease Control, Shenzhen Institute of Dermatology, Shenzhen, 518020, China
| | - Wenxu Hong
- Shenzhen Center for Chronic Disease Control, Shenzhen Institute of Dermatology, Shenzhen, 518020, China
| | - Xuqiao Hu
- Shenzhen Center for Chronic Disease Control, Shenzhen Institute of Dermatology, Shenzhen, 518020, China
- Second Clinical Medical College of Jinan University, First Affiliated Hospital of Southern University of Science and Technology (Shenzhen People's Hospital), Shenzhen, China
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He C, Shen W, Lin Z, Hu Z, Li H, Chen H, Yang M, Yang X, Zhuo J, Pan L, Wei X, Zhuang L, Zheng S, Lu D, Xu X. Model for end-stage liver disease-dependent prognostic capacity of platelet-to-lymphocyte ratio following liver transplantation for hepatocellular carcinoma. Transpl Immunol 2024:102071. [PMID: 38866187 DOI: 10.1016/j.trim.2024.102071] [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: 07/27/2023] [Revised: 06/04/2024] [Accepted: 06/07/2024] [Indexed: 06/14/2024]
Abstract
BACKGROUND To improve liver organ allocation, the model for end-stage liver disease (MELD) score was adopted in candidates reflecting the severity of liver disease and the physical condition of patients. Inflammatory markers are prognostic factors for various cancers and play prognostic roles in patients after liver transplantation (LT) for hepatocellular carcinoma (HCC). Researchers focused more on pre-LT inflammatory markers, while the role of dynamic change of these inflammatory markers is still unknown. The purpose of this study was to estimate the prognostic value of pre-LT and post-LT inflammatory markers. MATERIAL AND METHODS We collected the pre-LT complete blood count and the post-LT result with highest count of white blood cells within 48 h. Platelet-to-lymphocyte ratio (PLR), neutrophil-to-lymphocyte ratio, monocyte-to-lymphocyte ratio and systemic immune-inflammation index were calculated, and their prognostic roles were analyzed for their MELD scores. RESULTS This retrospective two-center cohort study enrolled 290 patients after LT for HCC. Multivariate analysis identified pre-LT PLR as independent risk factor for recurrence-free survival (RFS) [HR (95%CI): 1.002 (1.000-1.003), p = 0.023]. A high pre-LT PLR or post-LT PLR were associated with poorer RFS (p < 0.001 and p = 0.004, respectively). Based on the MELD scores, the pre-LT PLR value was able to predict the RFS in high MELD group (p < 0.001) but had no predictive power in low MELD group (p = 0.076). On the contrary, the post-LT PLR value was better to predict the overall RFS value in low MELD group (p = 0.007) but could not predict the overall RFS value in high MELD group (p = 0.136). CONCLUSIONS Both pre-LT PLR and post-LT PLR demonstrated prognostic value in patients following LT for HCC. Monitoring PLR values based on the MELD score can improve the predictive prognosis and more effectively guide the individual decisions for the postoperative intervention.
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Affiliation(s)
- Chiyu He
- Zhejiang University School of Medicine, Hangzhou, China; Department of Hepatobiliary and Pancreatic Surgery, Shulan (Hangzhou) Hospital, Hangzhou, China; NHC Key Laboratory of Combined Multi-organ Transplantation, Hangzhou, China
| | - Wei Shen
- Zhejiang University School of Medicine, Hangzhou, China
| | - Zuyuan Lin
- Key Laboratory of Integrated Oncology and Intelligent Medicine of Zhejiang Province, Hangzhou First People's Hospital, Hangzhou, China; Zhejiang University School of Medicine, Hangzhou, China
| | - Zhihang Hu
- Zhejiang University School of Medicine, Hangzhou, China
| | - Huigang Li
- Zhejiang University School of Medicine, Hangzhou, China
| | - Hao Chen
- Zhejiang University School of Medicine, Hangzhou, China
| | - Modan Yang
- Zhejiang University School of Medicine, Hangzhou, China
| | - Xinyu Yang
- Key Laboratory of Integrated Oncology and Intelligent Medicine of Zhejiang Province, Hangzhou First People's Hospital, Hangzhou, China; Zhejiang University School of Medicine, Hangzhou, China
| | - Jianyong Zhuo
- Department of Hepatobiliary and Pancreatic Surgery, Hangzhou First People's Hospital, Hangzhou, China
| | - Linhui Pan
- Department of Hepatobiliary and Pancreatic Surgery, Hangzhou First People's Hospital, Hangzhou, China
| | - Xuyong Wei
- Department of Hepatobiliary & Pancreatic Surgery and Minimally Invasive Surgery, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, China; NHC Key Laboratory of Combined Multi-organ Transplantation, Hangzhou, China
| | - Li Zhuang
- Department of Hepatobiliary and Pancreatic Surgery, Shulan (Hangzhou) Hospital, Hangzhou, China
| | - Shusen Zheng
- Department of Hepatobiliary and Pancreatic Surgery, Shulan (Hangzhou) Hospital, Hangzhou, China; NHC Key Laboratory of Combined Multi-organ Transplantation, Hangzhou, China; Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
| | - Di Lu
- Department of Hepatobiliary & Pancreatic Surgery and Minimally Invasive Surgery, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, China; NHC Key Laboratory of Combined Multi-organ Transplantation, Hangzhou, China.
| | - Xiao Xu
- School of Clinical Medicine, Hangzhou Medical College, Hangzhou, China; Institute of Translational Medicine, Zhejiang University, Hangzhou, China; NHC Key Laboratory of Combined Multi-organ Transplantation, Hangzhou, China.
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Liang C, Zhang C, Song J, Yan L, Xiao Y, Cheng N, Wu H, Chen X, Yang J. The Naples prognostic score serves as a predictor and prognostic indicator for cancer survivors in the community. BMC Cancer 2024; 24:696. [PMID: 38844884 PMCID: PMC11157788 DOI: 10.1186/s12885-024-12448-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2024] [Accepted: 05/29/2024] [Indexed: 06/09/2024] Open
Abstract
OBJECTIVE Inflammation, malnutrition, and cancer are intricately interconnected. Despite this, only a few studies have delved into the relationship between inflammatory malnutrition and the risk of death among cancer survivors. This study aimed to specifically investigate the association between the categorically defined Naples prognostic score (NPS) and the prognosis of cancer survivors. METHODS Data from 42,582 participants in the National Health and Nutrition Examination Survey (NHANES, 1999-2018) were subjected to analysis. Naples prognostic scores (NPS) were computed based on serum albumin (ALB), total cholesterol (TC), neutrophil to lymphocyte ratio (NLR), and lymphocyte to monocyte ratio (LMR), and participants were stratified into three groups accordingly. Cancer status was ascertained through a self-administered questionnaire, while mortality data were sourced from the National Death Index up to December 31, 2019. Multiple logistic regression was employed to estimate the odds ratio (OR) with a 95% confidence interval (CI) between NPS and cancer prevalence within the U.S. community population. Kaplan-Meier survival analysis and the Log-rank test were utilized to compare survival disparities among the three groups. Additionally, Cox proportional regression was utilized to estimate the hazard ratio (HR) with a 95% CI. RESULTS The incidence of cancers was 9.86%. Among the participants, 8140 individuals (19.1%) were classified into Group 0 (NPS 0), 29,433 participants (69.1%) into Group 1 (NPS 1 or 2), and 5009 participants (11.8%) into Group 2 (NPS 3 or 4). After adjusting for confounding factors, the cancer prevalence for the highest NPS score yielded an odds ratio (OR) of 1.64 (95% CI: 1.36, 1.97) (P(for trend) < 0.05). In comparison to cancer survivors in Group 0, those with the highest NPS had adjusted hazard ratios (HRs) of 2.57 (95% CI: 1.73, 3.84) for all-cause mortality, 3.44 (95% CI: 1.64, 7.21) for cardiovascular mortality, 1.60 (95% CI: 1.01, 2.56) for cancer mortality, and 3.15 (95% CI: 1.74, 5.69) for other causes of mortality (All P(for trend) < 0.05). These associations remained consistent when stratified by age, sex, race, and body mass index. CONCLUSIONS This study indicates that the Naples prognostic score (NPS), serving as a novel prognostic metric integrating inflammation and nutritional status, is closely linked to cancer prognosis within the general population.
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Affiliation(s)
- Chaoqun Liang
- Department of Otolaryngology Head and Neck Surgery, The Second Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Chao Zhang
- Department of Otolaryngology Head and Neck Surgery, The Second Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Jun Song
- Department of Otolaryngology Head and Neck Surgery, The Second Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Lin Yan
- Department of Otolaryngology Head and Neck Surgery, The Second Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Yun Xiao
- Department of Otolaryngology Head and Neck Surgery, The Second Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Nan Cheng
- Department of Otolaryngology Head and Neck Surgery, The Second Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Han Wu
- Department of Otolaryngology Head and Neck Surgery, The Second Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Xiaohong Chen
- Department of Otolaryngology Head and Neck Surgery, The Second Affiliated Hospital of Anhui Medical University, Hefei, China.
| | - Jianming Yang
- Department of Otolaryngology Head and Neck Surgery, The Second Affiliated Hospital of Anhui Medical University, Hefei, China.
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Song M, Graubard BI, Loftfield E, Rabkin CS, Engels EA. White Blood Cell Count, Neutrophil-to-Lymphocyte Ratio, and Incident Cancer in the UK Biobank. Cancer Epidemiol Biomarkers Prev 2024; 33:821-829. [PMID: 38568024 PMCID: PMC11147725 DOI: 10.1158/1055-9965.epi-23-1145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 03/03/2024] [Accepted: 03/29/2024] [Indexed: 06/04/2024] Open
Abstract
BACKGROUND The peripheral white blood cell (WBC) and neutrophil-to-lymphocyte ratio (NLR) reflect levels of inflammation and adaptive immunity. They are associated with cancer prognosis, but their associations with cancer incidence are not established. METHODS We evaluated 443,540 cancer-free adults in the UK Biobank with data on total WBC and its subsets, follow-up starting one year after baseline. Cox regression was used to estimate hazard ratios (HR) per quartile of WBC or NLR for incidence of 73 cancer types. RESULTS 22,747 incident cancers were diagnosed during a median of 6.9 years of follow-up. WBC was associated with risk of cancer overall [HR, 1.05; 95% confidence interval (CI), 1.03-1.06], chronic lymphocytic leukemia/small lymphocytic leukemia (CLL/SLL, 2.79; 95% CI, 2.45-3.18), lung cancer (1.14, 95% CI, 1.08-1.20), and breast cancer (95% CI, 1.05-1.02-1.08). NLR was positively associated with cancer overall (HR, 1.03; 95% CI, 1.02-1.04, per quartile) and kidney cancer (1.16; 95% CI, 1.07-1.25), and inversely with CLL/SLL (0.38; 95% CI, 0.33-0.42). CONCLUSIONS High WBC or NLR may reflect excessive inflammatory status, promoting development of some cancers. Conversely, low NLR indicates a relative rise in lymphocytes, which could reflect an increase in circulating premalignant cells before CLL/SLL diagnosis. Peripheral WBC and NLR, in combination with other clinical information or biomarkers, may be useful tools for cancer risk stratification. IMPACT Elevated levels of WBCs or an increased NLR may indicate an overly active inflammatory response, potentially contributing to the eventual onset of certain types of cancer.
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Affiliation(s)
- Minkyo Song
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Barry I Graubard
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Erikka Loftfield
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Charles S Rabkin
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Eric A Engels
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
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Wang L, Dong Y. Peripheral blood immune cell parameters in patients with high-grade squamous intraepithelial lesion (HSIL) and cervical cancer and their clinical value: a retrospective study. PeerJ 2024; 12:e17499. [PMID: 38846752 PMCID: PMC11155673 DOI: 10.7717/peerj.17499] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2023] [Accepted: 05/10/2024] [Indexed: 06/09/2024] Open
Abstract
Objective The objective of this study was to delineate the profile of peripheral blood lymphocytic indices in patients afflicted with high-grade squamous intraepithelial lesions (HSIL) and cervical neoplasms, and to elucidate the correlation of these hematologic markers with the clinicopathological spectra in individuals diagnosed with cervical carcinoma. Methods We adopted a retrospective case-control modality for this investigation. An aggregate of 39 HSIL patients and 42 cervical carcinoma patients, who were treated in our facility from July 2020 to September 2023, were meticulously selected. Each case of cervical malignancy was confirmed through rigorous histopathological scrutiny. Concomitantly, 31 healthy female individuals, who underwent prophylactic health evaluations during the corresponding timeframe, were enlisted as the baseline control group. We systematically gathered and analyzed clinical demographics, as well as the neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR), from peripheral blood samples. Pearson's correlation coefficient was deployed to dissect the interrelation between peripheral NLR and PLR concentrations and the clinicopathological features in the cervical cancer group. Results Inter-group comparative analysis unveiled statistically substantial variances in the PLR and NLR values among the tripartite clusters (F = 36.941, 14.998, P < 0.001, respectively). Although discrepancy in NLR (P = 0.061) and PLR (P = 0.759) measures between the groups of cervical carcinoma and HSIL was not statistically appreciable, these indices were markedly elevated in the cervical carcinoma faction as juxtaposed with the normative control group (t = 5.094, 5.927; P < 0.001 for both parameters). A discernible gradation in peripheral blood PLR and NLR concentrations was noted when stratified by clinical stage and the profundity of myometrial invasion in cervical cancer subjects (P < 0.001). The correlation matrix demonstrated a positive liaison between peripheral blood PLR and the clinical gradation, as well as the invasiveness of the neoplastic cells into the muscularis propria (P < 0.05); a similar trend was observed with the NLR values (P < 0.05). Conclusion Augmented NLR and PLR levels in peripheral blood specimens are indicative of HSIL and cervical malignancy. These hematological parameters exhibit a pronounced interconnection with clinical staging and muscular wall penetration depth, serving as potential discriminative biomarkers for the diagnosis and prognosis of cervical cancer.
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Affiliation(s)
- Ling Wang
- Medical Department, University Hospital, Qingdao Agriculture University, Qingdao, China
| | - Yuyan Dong
- Department of Obstetrics and Gynecology, Key Laboratory of Birth Regulation and Control Technology of National Health Commission of China, Shandong Provincial Maternal and Child Health Care Hospital Affiliated to Qingdao University, Jinan, China
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Zhu JH, Xu BJ, Pang XY, Lian J, Gu K, Ji SJ, Lu HB. Genetic Evidence for a Causal Relationship Between Innate Leukocytes and the Risk of Digestive System Cancers in East Asians and Europeans. World J Oncol 2024; 15:482-491. [PMID: 38751703 PMCID: PMC11092417 DOI: 10.14740/wjon1860] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Accepted: 04/06/2024] [Indexed: 05/18/2024] Open
Abstract
Background Peripheral traditional immune cell disorder plays an important role in cancer onset and development. The causal relationships between leukocytes prior to cancer and the risk of digestive system cancer remain unknown. This study assesses the causal correlations between leukocytes and digestive system cancer risk in East Asians and Europeans. Methods Summary-level data on leukocyte-related genetic variation were extracted from Biobank Japan (107,964 participants) and a recent large-scale meta-analysis (563,946 participants). Summary-level data for the cancers were obtained from Biobank Japan (212,978 individuals) and the FinnGen consortium (178,802 participants). Univariable and multivariable Mendelian randomization (MR) analyses were performed on East Asians and Europeans separately. Results Univariable MR analysis demonstrated the significant association between circulating eosinophil counts and risk of colorectal cancer (CRC) in East Asians (odds ratio (OR) = 0.80, 95% confidence interval (CI): 0.69 - 0.92, P = 0.002) and a suggestive relationship in the European population (OR = 0.86, 95% CI: 0.77 - 0.97, P = 0.013). An inverse suggestive association was observed between levels of basophils and the risk of gastric cancer (GC) in East Asians (OR = 0.83, 95% CI: 0.72 - 0.97, P = 0.019). The multivariable MR analysis showed the independent causal effect of eosinophil count on CRC risk in East Asians (OR = 0.72, 95% CI: 0.57 - 0.92, P = 0.009) and Europeans (OR = 0.80, 95% CI: 0.70 - 0.92, P = 0.002). Circulating basophils served as the negative causal factor in GC risk in East Asians (OR = 0.80, 95% CI: 0.67 - 0.94, P = 0.007). Conclusions Our MR analyses revealed a genetic causal relationship between reduced blood eosinophils and an increased CRC risk in both Europeans and East Asians. Furthermore, our results suggested a causal association between decreased basophils and an elevated GC risk specifically in East Asians.
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Affiliation(s)
- Jia Hao Zhu
- Department of Outpatient Chemotherapy, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang 150000, China
- These authors contributed equally to the study
| | - Ben Jie Xu
- Department of Outpatient Chemotherapy, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang 150000, China
- These authors contributed equally to the study
| | - Xiang Yi Pang
- Department of Outpatient Chemotherapy, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang 150000, China
- These authors contributed equally to the study
| | - Jie Lian
- Department of Outpatient Chemotherapy, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang 150000, China
| | - Ke Gu
- Department of Radiotherapy and Oncology, The Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu 214000, China
| | - Sheng Jun Ji
- Department of Radiotherapy and Oncology, The Affiliated Suzhou Hospital of Nanjing Medical University, Gusu School, Nanjing Medical University, Suzhou, Jiangsu 215000, China
| | - Hai Bo Lu
- Department of Outpatient Chemotherapy, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang 150000, China
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Hao X, Zhu M, Sun Z, Li P, Meng Q, Tan L, Chen C, Zhang Y, Yang L, Zhang J, Huang Y. Systemic immune-inflammation index is associated with cardiac complications following acute ischemic stroke: A retrospective single-center study. Clin Neurol Neurosurg 2024; 241:108285. [PMID: 38636361 DOI: 10.1016/j.clineuro.2024.108285] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Revised: 03/31/2024] [Accepted: 04/11/2024] [Indexed: 04/20/2024]
Abstract
BACKGROUND Stroke-induced heart syndrome is a feared complication of ischemic stroke, that is commonly encountered and has a strong association with unfavorable prognosis. More research is needed to explore underlying mechanisms and inform clinical decision making. This study aims to explore the relationship between the early systemic immune-inflammation (SII) index and the cardiac complications after acute ischemic stroke. METHODS Consecutive patients with acute ischemic stroke were prospectively collected from January 2020 to August 2022 and retrospectively analyzed. We included subjects who presented within 24 hours after symptom onset and were free of detectable infections or cancer on admission. SII index [(neutrophils × platelets/ lymphocytes)/1000] was calculated from laboratory data at admission. RESULTS A total of 121 patients were included in our study, of which 24 (19.8 %) developed cardiac complications within 14 days following acute ischemic stroke. The SII level was found higher in patients with stroke-heart syndrome (p<.001), which was an independent predictor of stroke-heart syndrome (adjusted odds ratio 5.089, p=.002). CONCLUSION New-onset cardiovascular complications diagnosed following a stroke are very common and are associated with early SII index.
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Affiliation(s)
- Xiaodi Hao
- Department of Neurology, Zhengzhou University People's Hospital, Zhengzhou University, Zhengzhou, Henan 450003, China
| | - Mingfang Zhu
- Department of Neurology, Zhengzhou University People's Hospital, Zhengzhou University, Zhengzhou, Henan 450003, China
| | - Zhengyu Sun
- Department of Neurology, Zhengzhou University People's Hospital, Zhengzhou University, Zhengzhou, Henan 450003, China
| | - Penghui Li
- Department of Neurology, Zhengzhou University People's Hospital, Zhengzhou University, Zhengzhou, Henan 450003, China
| | - Qi Meng
- Department of Neurology, Zhengzhou University People's Hospital, Zhengzhou University, Zhengzhou, Henan 450003, China
| | - Leilei Tan
- Department of Neurology, Zhengzhou University People's Hospital, Zhengzhou University, Zhengzhou, Henan 450003, China
| | - Chen Chen
- Department of Neurology, Zhengzhou University People's Hospital, Zhengzhou University, Zhengzhou, Henan 450003, China
| | - Yakun Zhang
- Department of Neurology, Zhengzhou University People's Hospital, Zhengzhou University, Zhengzhou, Henan 450003, China
| | - Lihua Yang
- Department of Neurology, Zhengzhou University People's Hospital, Zhengzhou University, Zhengzhou, Henan 450003, China
| | - Jiewen Zhang
- Department of Neurology, Zhengzhou University People's Hospital, Zhengzhou University, Zhengzhou, Henan 450003, China.
| | - Yue Huang
- Department of Neurology, Zhengzhou University People's Hospital, Zhengzhou University, Zhengzhou, Henan 450003, China.
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Weng Y, Zhu J, Li S, Wang Y, Lin S, Xie W, Chen S, Chen S, Chen X, Wang Y, Wang L, Zhang X, Yang D. Dynamic changes of peripheral inflammatory markers link with disease severity and predict short-term poor outcome of myasthenia gravis. J Neurochem 2024. [PMID: 38822659 DOI: 10.1111/jnc.16138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Revised: 04/08/2024] [Accepted: 05/08/2024] [Indexed: 06/03/2024]
Abstract
The relationship between peripheral inflammatory markers, their dynamic changes, and the disease severity of myasthenia gravis (MG) is still not fully understood. Besides, the possibility of using it to predict the short-term poor outcome of MG patients have not been demonstrated. This study aims to investigate the relationship between peripheral inflammatory markers and their dynamic changes with Myasthenia Gravis Foundation of America (MGFA) classification (primary outcome) and predict the short-term poor outcome (secondary outcome) in MG patients. The study retrospectively enrolled 154 MG patients from June 2016 to December 2021. The logistic regression was used to investigate the relationship of inflammatory markers with MGFA classification and determine the factors for model construction presented in a nomogram. Finally, net reclassification improvement (NRI) and integrated discrimination improvement (IDI) were utilized to evaluate the incremental capacity. Logistic regression revealed significant associations between neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), aggregate index of systemic inflammation (AISI) and MGFA classification (p = 0.013, p = 0.032, p = 0.017, respectively). Incorporating dynamic changes of inflammatory markers into multivariable models improved their discriminatory capacity of disease severity, with significant improvements observed for NLR, systemic immune-inflammation index (SII) and AISI in NRI and IDI. Additionally, AISI was statistically associated with short-term poor outcome and a prediction model incorporating dynamic changes of inflammatory markers was constructed with the area under curve (AUC) of 0.953, presented in a nomograph. The inflammatory markers demonstrate significant associations with disease severity and AISI could be regarded as a possible and easily available predictive biomarker for short-term poor outcome in MG patients.
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Affiliation(s)
- Yiyun Weng
- Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Jinrong Zhu
- Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
- The Second School of Medicine, Wenzhou Medical University, Wenzhou, China
| | - Shengqi Li
- Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
- The First School of Medicine, School of Information and Engineering, Wenzhou Medical University, Wenzhou, China
| | - Yanchu Wang
- Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
- The First School of Medicine, School of Information and Engineering, Wenzhou Medical University, Wenzhou, China
| | - Shenyi Lin
- Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
- The First School of Medicine, School of Information and Engineering, Wenzhou Medical University, Wenzhou, China
| | - Wei Xie
- Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
- The First School of Medicine, School of Information and Engineering, Wenzhou Medical University, Wenzhou, China
| | - Siqi Chen
- Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
- The Second School of Medicine, Wenzhou Medical University, Wenzhou, China
| | - Siyao Chen
- Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
- The First School of Medicine, School of Information and Engineering, Wenzhou Medical University, Wenzhou, China
| | - Xuanyang Chen
- Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
- The Second School of Medicine, Wenzhou Medical University, Wenzhou, China
| | - Yukai Wang
- Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
- The Second School of Medicine, Wenzhou Medical University, Wenzhou, China
| | - Lingsheng Wang
- Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
- The First School of Medicine, School of Information and Engineering, Wenzhou Medical University, Wenzhou, China
| | - Xu Zhang
- Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Dehao Yang
- Department of Neurology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
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Zhang P, Cui D, Zhang P, Wang H, Hao Y, Ma J, Li Q, Zhang A, Li D, Li X. Correlation between blood inflammatory indices and carotid intima-media thickness in the middle-aged and elderly adults. J Stroke Cerebrovasc Dis 2024; 33:107715. [PMID: 38608824 DOI: 10.1016/j.jstrokecerebrovasdis.2024.107715] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Revised: 03/31/2024] [Accepted: 04/08/2024] [Indexed: 04/14/2024] Open
Abstract
OBJECTIVES This study aimed to investigate the correlations between carotid intima-media thickness (IMT) and systemic immune inflammation index (SII), platelet-to-lymphocyte ratio (PLR), and neutrophil-to-lymphocyte (NLR) ratio. MATERIALS AND METHODS This was a cross-sectional study enrolling a total of 582 middle-aged and elderly patients. The correlations between SII, PLR, and NLR with IMT were assessed using logistic regression models, which were subsequently incorporated into the underlying models with traditional risk factors and their predictive values for IMT. RESULTS NLR exhibited a significant correlation with IMT in the simple regression analysis (β = 0.01, 95 %CI= 0.00-0.02, p < 0.05). After controlling for potential confounding variables in the multivariate analysis, the association between NLR and both Maximum IMT [β = 0.04, 95 %CI = 0.02-0.07, p = 0.0006] and Mean IMT [β = 0.05, 95 %CI = 0.02-0.07, p = 0.0001] remained statistically significant. Additionally, PLR was found to be a significant independent predictor of Maximum IMT [β = 0.04, 95 % CI =0.00-0.07, p = 0.0242] and Mean IMT [β = 0.04, 95 % CI = 0.01-0.07, p = 0.0061]. Similarly, SII was identified as an independent predictor of Maximum IMT [β = 1.87, 95 % CI =1.24, p = 0.0003]. The study found a significant positive correlation between Maximum IMT and the levels NLR, PLR, and SII. Specifically, in the Maximum IMT group, higher quartiles of NLR, PLR, and SII were associated with increased odds ratios (OR) for elevated IMT levels, with statistically significant results for NLR (Q4vsQ1: OR 3.87, 95 % CI 1.81-8.29), PLR (Q4vsQ1: OR 2.84, 95 % CI 1.36-5.95), and SII (Q4vsQ1: OR 2.64, 95 % CI 1.30-5.37). Finally, the inclusion of NLR, PLR, and NLR+PLR+SII in the initial model with traditional risk factors resulted in a marginal improvement in the predictive ability for Maximum IMT, as evidenced by the net reclassification index (p < 0.05). CONCLUSIONS This study discovered a positive correlation between SII, PLR, NLR, and IMT, which are likely to emerge as new predictors for IMT thickening. These findings lay a theoretical reference for future predictive research and pathophysiological research on carotid intima-media thickening.
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Affiliation(s)
- Pangpang Zhang
- Clinical Medical College, Jining Medical University, Jining, China
| | - Dehua Cui
- Department of Neurology, Chengwu County People's Hospital, Jining, China
| | - Peng Zhang
- Clinical Medical College, Jining Medical University, Jining, China
| | - Hongjun Wang
- Ultrasonic Diagnosis Deparment, the Affiliated Hospital of Jining Medical University, Jining, China
| | - Yongnan Hao
- Department of Emergency Stroke, the Affiliated Hospital of Jining Medical University, Jining, China
| | - Jinfeng Ma
- Department of Neurology, the Affiliated Hospital of Jining Medical University, Jining, China
| | - Qiuhua Li
- Department of Neurology, the Affiliated Hospital of Jining Medical University, Jining, China
| | - Aimei Zhang
- Department of Neurology, the Affiliated Hospital of Jining Medical University, Jining, China
| | - Daojing Li
- Department of Neurology, the Affiliated Hospital of Jining Medical University, Jining, China
| | - Xiang Li
- Department of Rehabilitation, the Affiliated Hospital of Jining Medical University, Jining, China.
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Wang Q, Liang T, Li Y, Liu X. Machine Learning for Prediction of Non-Small Cell Lung Cancer Based on Inflammatory and Nutritional Indicators in Adults: A Cross-Sectional Study. Cancer Manag Res 2024; 16:527-535. [PMID: 38832344 PMCID: PMC11146620 DOI: 10.2147/cmar.s454638] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Accepted: 05/23/2024] [Indexed: 06/05/2024] Open
Abstract
Purpose The aim of this study was to evaluate the potential benefit of blood inflammation in the diagnosis of non-small cell lung cancer (NSCLC) and propose a machine-learning-based method to predict NSCLC in asymptomatic adults. Patients and Methods A cross-sectional study was evaluated using medical records of 139 patients with non-small cell lung cancer and physical examination data from May 2022 to May 2023 of 198 healthy controls. The NSCLC cohort comprised 128 cases of adenocarcinoma, 3 cases of squamous cell carcinoma, and 8 cases of other NSCLC subtypes. The correlation between inflammatory and nutritional markers, such as monocytes, neutrophils, LMR, NLR, PLR, PHR and non-small cell lung cancer was examined. Features were selected using Python's feature selection library and analyzed by five algorithms. The predictive ability of the model for non-small cell lung cancer diagnosis was assessed by precision, accuracy, recall, F1 score, and area under the curve (AUC). Results The results showed that the top 14 important factors were PDW, age, TP, RBC, HGB, LYM, LYM%, RDW, PLR, LMR, PHR, MONO, MONO%, gender. Additionally, the naive Bayes (NB) algorithm demonstrated the highest overall performance in predicting adult NSCLC among the five machine learning algorithms, achieving an accuracy of 0.87, a macro average F1 score of 0.85, a weighted average F1 score of 0.87, and an AUC of 0.84. Conclusion In feature ranking, platelet distribution width was the most important feature, and the NB algorithm performed best in predicting adult NSCLC diagnosis.
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Affiliation(s)
- Qiaoli Wang
- Department of Health Screening Center, Deyang Peoples' Hospital, Deyang, Sichuan, 618000, People's Republic of China
| | - Tao Liang
- Department of Gastroenterology, Deyang Peoples' Hospital, Deyang, Sichuan, 618000, People's Republic of China
| | - Yuexi Li
- Department of Health Screening Center, Deyang Peoples' Hospital, Deyang, Sichuan, 618000, People's Republic of China
| | - Xiaoqin Liu
- Department of Health Screening Center, Deyang Peoples' Hospital, Deyang, Sichuan, 618000, People's Republic of China
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11
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Li W, Dong P, Wang W. Association of systemic inflammation markers in cancer mortality with diabetes: evidence from National Health and Nutrition Examination Survey. Acta Diabetol 2024:10.1007/s00592-024-02301-5. [PMID: 38801427 DOI: 10.1007/s00592-024-02301-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2023] [Accepted: 05/04/2024] [Indexed: 05/29/2024]
Abstract
AIMS Inflammation plays a crucial role in the interconnection between diabetes and cancer. Our study seeks to investigate the predictive value of inflammatory indices concerning overall survival (OS) among diabetic cancer patients. METHODS We analyzed data from the National Health and Nutrition Examination Survey between 1999 and 2020. Using four immune-related markers, we employed the log-rank method, multivariate Cox regression, and subgroup analysis to explore the predictive capacity of these markers for OS among adult individuals with diabetes and cancer. RESULTS Our study identified four systemic immune-inflammatory indices that demonstrated significant predictive potential for OS among diabetic cancer patients, namely systemic immune-inflammation index, neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, and lymphocyte-to-monocyte ratio (all p values < 0.05). Notably, these inflammatory biomarkers still maintain their predictive value after adjusting potential confounding factors. The analysis using restrictive cubic splines revealed significant non-linear relationships between inflammatory biomarkers and OS. CONCLUSION The findings presented in this study underscore the potential of inflammatory markers as prognostic indicators and their crucial role in enhancing risk assessment for diabetic patients with cancer.
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Affiliation(s)
- Wenjie Li
- Department of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong, China
| | - Peixin Dong
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510080, China
| | - Wei Wang
- Department of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong, China.
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12
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He Q, Wei C, Cao L, Zhang P, Zhuang W, Cai F. Blood cell indices and inflammation-related markers with kidney cancer risk: a large-population prospective analysis in UK Biobank. Front Oncol 2024; 14:1366449. [PMID: 38846978 PMCID: PMC11153768 DOI: 10.3389/fonc.2024.1366449] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Accepted: 05/01/2024] [Indexed: 06/09/2024] Open
Abstract
Background Kidney cancer is a prevalent malignancy with an increasing incidence worldwide. Blood cell indices and inflammation-related markers have shown huge potential as biomarkers for predicting cancer incidences, but that is not clear in kidney cancer. Our study aims to investigate the correlations of blood cell indices and inflammation-related markers with kidney cancer risk. Methods We performed a population-based cohort prospective analysis using data from the UK Biobank. A total of 466,994 participants, free of kidney cancer at baseline, were included in the analysis. The hazard ratios (HRs) and 95% confidence intervals (CIs) for kidney cancer risk were calculated using Cox proportional hazards regression models. Restricted cubic spline models were used to investigate nonlinear longitudinal associations. Stratified analyses were used to identify high-risk populations. The results were validated through sensitivity analyses. Results During a mean follow-up of 12.4 years, 1,710 of 466,994 participants developed kidney cancer. The Cox regression models showed that 13 blood cell indices and four inflammation-related markers were associated with kidney cancer incidence. The restricted cubic spline models showed non-linear relationships with kidney cancer. Finally, combined with stratified and sensitivity analyses, we found that the mean corpuscular hemoglobin concentration (MCHC), red blood cell distribution width (RDW), platelet distribution width (PDW), systemic immune-inflammation index (SII), and product of platelet count and neutrophil count (PPN) were related to enhanced kidney cancer risk with stable results. Conclusion Our findings identified that three blood cell indices (MCHC, RDW, and PDW) and two inflammation-related markers (SII and PPN) were independent risk factors for the incidence of kidney cancer. These indexes may serve as potential predictors for kidney cancer and aid in the development of targeted screening strategies for at-risk individuals.
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Affiliation(s)
- Qingliu He
- Department of Urology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Chengcheng Wei
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Department of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Li Cao
- Department of Orthopaedic, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Pu Zhang
- Department of Urology, Sichuan Provincial People’s Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Wei Zhuang
- Department of Urology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
| | - Fangzhen Cai
- Department of Urology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
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13
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Zhu HH, Wang YC, He LC, Luo HY, Zong C, Yang YH, Wu JH, Song B, Gao Y, Xu YM, Li YS. Novel inflammatory and insulin resistance indices provide a clue in cerebral amyloid angiopathy. Sci Rep 2024; 14:11474. [PMID: 38769356 PMCID: PMC11106308 DOI: 10.1038/s41598-024-62280-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Accepted: 05/15/2024] [Indexed: 05/22/2024] Open
Abstract
This study investigated the correlation of newly identified inflammatory and insulin resistance indices with cerebral amyloid angiopathy (CAA), and explored their potential to differentiate CAA from hypertensive arteriopathy (HA). We retrospectively analyzed 514 consecutive patients with cerebral small vessel disease (CSVD)-related haemorrhage, comparing the differences in novel inflammatory and insulin resistance indices between patients with CAA and HA. Univariate regression, LASSO and multivariate regression were used to screen variables and construct a classification diagnosis nomogram. Additionally, these biomarkers were explored in patients with mixed haemorrhagic CSVD. Inflammatory indices were higher in CAA patients, whereas insulin resistance indices were higher in HA patients. Further analysis identified neutrophil-to-lymphocyte ratio (NLR, OR 1.17, 95% CI 1.07-1.30, P < 0.001), and triglyceride-glucose index (TyG, OR = 0.56, 95% CI 0.36-0.83, P = 0.005) as independent factors for CAA. Therefore, we constructed a CAA prediction nomogram without haemorrhagic imaging markers. The nomogram yielded an area under the curve (AUC) of 0.811 (95% CI 0.764-0.865) in the training set and 0.830 (95% CI 0.718-0.887) in the test set, indicating an ability to identify high-risk CAA patients. These results show that CSVD patients can be phenotyped using novel inflammatory and insulin resistance indices, potentially allowing identification of high-risk CAA patients without haemorrhagic imaging markers.
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Affiliation(s)
- Hang-Hang Zhu
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Diseases, Zhengzhou, China
| | - Yun-Chao Wang
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Diseases, Zhengzhou, China
| | - Liu-Chang He
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Diseases, Zhengzhou, China
| | - Hai-Yang Luo
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Diseases, Zhengzhou, China
| | - Ce Zong
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Diseases, Zhengzhou, China
| | - Ying-Hao Yang
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Diseases, Zhengzhou, China
| | - Jing-Hao Wu
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Diseases, Zhengzhou, China
| | - Bo Song
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Diseases, Zhengzhou, China
| | - Yuan Gao
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Diseases, Zhengzhou, China
| | - Yu-Ming Xu
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
- NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Diseases, Zhengzhou, China.
| | - Yu-Sheng Li
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
- NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Diseases, Zhengzhou, China.
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Bayram E, Kidi MM, Camadan YA, Biter S, Yaslikaya S, Toyran T, Mete B, Kara IO, Sahin B. Can the Pathological Response in Patients with Locally Advanced Gastric Cancer Receiving Neoadjuvant Treatment Be Predicted by the CEA/Albumin and CRP/Albumin Ratios? J Clin Med 2024; 13:2984. [PMID: 38792528 PMCID: PMC11122553 DOI: 10.3390/jcm13102984] [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: 03/28/2024] [Revised: 05/14/2024] [Accepted: 05/15/2024] [Indexed: 05/26/2024] Open
Abstract
Background: The purposes of neoadjuvant chemotherapy are to tumor size to improve the tumor removal rate, extend survival, and prevent metastasis. In this study, the importance of CRP/albumin ratio and CEA/albumin ratio in the prediction of neoadjuvant treatment response in gastric cancer patients was evaluated. Methods: This study retrospectively included 135 gastric cancer patients who received neoadjuvant chemotherapy at Çukurova University Balcalı Hospital between January 2018 and December 2023. Preoperative CRP/albumin and CEA/albumin ratios were compared according to treatment response and multivariate logistic regression analysis was performed to determine the potential importance of these ratios in predicting pathological response. Results: The mean age of the 135 patients was 58.79 ± 10.83 (min = 26-max = 78). The CRP/albumin and CEA/albumin ratios were found to be significantly lower in patients who did not respond to neoadjuvant therapy. Each 1-unit increase in the CRP/albumin ratio was associated with a 1.16-fold decrease in the odds of pathological complete response to neoadjuvant therapy. Both CRP/albumin and CEA/albumin ratios were found to be significant in distinguishing neoadjuvant therapy response. The optimal cut-off value was 2.74 for the CRP/albumin ratio (sensitivity = 60%, specificity = 78.4%) and 1.40 for the CEA/albumin ratio (sensitivity = 74.2%, specificity = 67.6%). Values below these cut-off points favored neoadjuvant therapy response. Pathological complete response to neoadjuvant therapy was 4.75 times higher in patients with a CRP/albumin ratio below 2.74 and 5.14 times higher in patients with a CEA/albumin ratio below 1.40. Conclusions: Findings demonstrate that in patients with locally advanced gastric cancer receiving neoadjuvant treatment, CRP/Albumin and CEA/Albumin ratios are significant markers of pathological response.
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Affiliation(s)
- Ertugrul Bayram
- Department of Medical Oncology, Faculty of Medicine, Cukurova University, Adana 01250, Turkey; (M.M.K.); (Y.A.C.); (S.B.); (S.Y.); (I.O.K.); (B.S.)
| | - Mehmet Mutlu Kidi
- Department of Medical Oncology, Faculty of Medicine, Cukurova University, Adana 01250, Turkey; (M.M.K.); (Y.A.C.); (S.B.); (S.Y.); (I.O.K.); (B.S.)
| | - Yasemin Aydınalp Camadan
- Department of Medical Oncology, Faculty of Medicine, Cukurova University, Adana 01250, Turkey; (M.M.K.); (Y.A.C.); (S.B.); (S.Y.); (I.O.K.); (B.S.)
| | - Sedat Biter
- Department of Medical Oncology, Faculty of Medicine, Cukurova University, Adana 01250, Turkey; (M.M.K.); (Y.A.C.); (S.B.); (S.Y.); (I.O.K.); (B.S.)
| | - Sendag Yaslikaya
- Department of Medical Oncology, Faculty of Medicine, Cukurova University, Adana 01250, Turkey; (M.M.K.); (Y.A.C.); (S.B.); (S.Y.); (I.O.K.); (B.S.)
| | - Tugba Toyran
- Department of Medical Pathology, Faculty of Medicine, Cukurova University, Adana 01250, Turkey;
| | - Burak Mete
- Department of Public Health, Faculty of Medicine, Cukurova University, Adana 01250, Turkey;
| | - Ismail Oguz Kara
- Department of Medical Oncology, Faculty of Medicine, Cukurova University, Adana 01250, Turkey; (M.M.K.); (Y.A.C.); (S.B.); (S.Y.); (I.O.K.); (B.S.)
| | - Berksoy Sahin
- Department of Medical Oncology, Faculty of Medicine, Cukurova University, Adana 01250, Turkey; (M.M.K.); (Y.A.C.); (S.B.); (S.Y.); (I.O.K.); (B.S.)
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Huang T, Sun F, Gao K, Wang Y, Zhu G, Chen F. The Role of Peripheral Inflammatory Markers and Coagulation Factors in Patients with Central Nervous System (CNS) Immune Disease and Glioma. World Neurosurg 2024:S1878-8750(24)00843-X. [PMID: 38763458 DOI: 10.1016/j.wneu.2024.05.080] [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: 04/17/2024] [Accepted: 05/14/2024] [Indexed: 05/21/2024]
Abstract
OBJECTIVE Gliomas are associated with high rates of disability and mortality, and currently, there is a lack of specific and sensitive biomarkers for diagnosis. The ideal biomarkers should be detected early through noninvasive methods. Our research aims to develop a rapid, convenient, noninvasive diagnostic method for gliomas, as well as for grading and differentiation. METHOD We retrospectively collected data from patients who underwent surgery for glioma, trigeminal neuralgia/hemifacial spasmschwannoma, and those diagnosed with multiple sclerosis at our institution from January 2018 to December 2020. Inflammatory markers and coagulation factor levels were collected on admission, and neutrophil count (NLR), (WBC count minus neutrophil count) / lymphocyte count, platelet count / lymphocyte count, lymphocyte count / monocyte count, and albumin count [g/L] + total lymphocyte count × 5 were calculated for patients. Analyze the significance of biomarkers in the diagnosis and grading of gliomas, the diagnosis of MS, and the differential diagnosis of them. RESULTS We evaluated 155 healthy individuals, 64 trigeminal neuralgia/hemifacial spasm patients, 47 MS patients, 316 schwannoma patients, and 814 with glioma patients. Compared with healthy controls and MS group, the preoperative levels of NLR, (WBC count minus neutrophil count) / lymphocyte count, D-dimer, Fibrinogen, Antithrobin, and Factor VIII of glioma patients were significantly higher in glioma patients and positively correlated with the grade of glioma. Conversely, 0020 lymphocyte count / Monocyte count and albumin count [g/L] + total lymphocyte count × 5 were significantly lower and negatively correlated with glioma grading. ROC curves confirmed that for the diagnosis of glioma, NLR showed a maximum area under the curve value of 0.8616 (0.8322-0.8910), followed by D-dimer and Antithrombin, with area under the curve values of 0.8205 (0.7601-0.8809) and 0.8455 (0.8153-0.8758), respectively. NLR and d-dimer also showed great sensitivity in the diagnosis of MS and differential diagnosis with gliomas. CONCLUSIONS Our study demonstrated that multiple inflammatory markers and coagulation factors could be utilized as biomarkers for the glioma diagnosis, grading, and differential diagnosis of MS. Furthermore, the combination of these markers exhibited high sensitivity and specificity.
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Affiliation(s)
- Tao Huang
- Department of Neurosurgery, Tangdu Hospital of Fourth Military Medical University, Xi'an, China
| | - Fang Sun
- Department of Neurosurgery, Tangdu Hospital of Fourth Military Medical University, Xi'an, China
| | - Kailun Gao
- Department of Anesthesiology, Xuzhou Central Hospital, Xu Zhou, China
| | - Yuan Wang
- Department of Neurosurgery, Tangdu Hospital of Fourth Military Medical University, Xi'an, China
| | - Gang Zhu
- Department of Neurosurgery, Tangdu Hospital of Fourth Military Medical University, Xi'an, China
| | - Fan Chen
- Department of Neurosurgery, Tangdu Hospital of Fourth Military Medical University, Xi'an, China.
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Liao X, Wu H, Liu K, Bai Y, Wu D, Guo C, Liu X, Zhang Z, Huang Y, Zhao N, Xiao Y, Deng Q. The effects and potential mechanisms of essential metals on the associations of polycyclic aromatic hydrocarbons with blood cell-based inflammation markers. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 349:123856. [PMID: 38556152 DOI: 10.1016/j.envpol.2024.123856] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Revised: 03/07/2024] [Accepted: 03/22/2024] [Indexed: 04/02/2024]
Abstract
BACKGROUND Polycyclic aromatic hydrocarbons (PAHs) are well-acknowledged pro-inflammatory chemicals, but their associations with blood cell-based inflammatory biomarkers need further investigation. Moreover, the effects and mechanisms of essential metals on PAH-related inflammation remain poorly understood. OBJECTS To elucidate the associations of PAHs on inflammatory biomarkers, as well as the effects and mechanisms of essential metals on these associations. METHODS A cross-sectional study was conducted on 1388 coke oven workers. We analyzed the modification effects of key essential metal(s) on PAHs-inflammatory biomarkers associations. To explore the possible mechanisms from an inflammation perspective, we performed a bioinformatic analysis on the genes of PAHs and essential metals obtained from the Comparative Toxicogenomics Database (CTD) and performed a mediation analysis. RESULTS We observed associations of PAHs and essential metals with lymphocyte-to-monocyte ratio (LMR) (P < 0.05). PAH mixtures were inversely associated with LMR (βQGC-index = -0.18, P < 0.001), with 1-hydroxypyrene (1-OH-Pyr) being the most prominent contributor (weight = 63.37%), whereas a positive association between essential metal mixtures and LMR was observed (βQGC-index = 0.14, P < 0.001), with tin being the most significant contributor (weight = 51.61%). An inverse association of 1-OH-Pyr with LMR was weakened by increased tin exposure (P < 0.05). The CTD database showed that PAHs and tin compounds co-regulated 22 inflammation-associated genes, but they regulated most genes in opposite directions. Further identified the involvement of oxidative stress and mediation analysis showed that the mediation effect of 8-hydroxydeoxyguanosine (8-OHdG) on 1-OH-Pyr-LMR association presented heterogeneity between low and high tin tertile groups (I2 = 37.84%). CONCLUSION 1-OH-Pyr and tin were significantly associated with LMR. Modification effects indicated that the inverse association of 1-OH-Pyr with LMR was mitigated with an increase in tin. The mediation effect of 8-OHdG on the inverse association of 1-OH-Pyr with LMR may be partially dependent on tin.
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Affiliation(s)
- Xiaojing Liao
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China
| | - Haimei Wu
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China
| | - Kang Liu
- School of Public Health, Guangzhou Medical University, Guangzhou, 511436, Guangdong, China
| | - Yansen Bai
- School of Public Health, Guangzhou Medical University, Guangzhou, 511436, Guangdong, China
| | - Degang Wu
- School of Public Health, Guangzhou Medical University, Guangzhou, 511436, Guangdong, China
| | - Chaofan Guo
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China
| | - Xin Liu
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China
| | - Zhaorui Zhang
- School of Public Health, Guangzhou Medical University, Guangzhou, 511436, Guangdong, China
| | - Yongshun Huang
- Department of Occupational Medicine, Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou, 510300, Guangdong, China
| | - Na Zhao
- Department of Occupational Medicine, Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou, 510300, Guangdong, China
| | - Yongmei Xiao
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China
| | - Qifei Deng
- Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China; School of Public Health, Guangzhou Medical University, Guangzhou, 511436, Guangdong, China.
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Araujo DC, Rocha BA, Gomes KB, da Silva DN, Ribeiro VM, Kohara MA, Tostes Marana F, Bitar RA, Veloso AA, Pintao MC, da Silva FH, Viana CF, de Souza PHA, da Silva IDCG. Unlocking the complete blood count as a risk stratification tool for breast cancer using machine learning: a large scale retrospective study. Sci Rep 2024; 14:10841. [PMID: 38736010 PMCID: PMC11089041 DOI: 10.1038/s41598-024-61215-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Accepted: 05/01/2024] [Indexed: 05/14/2024] Open
Abstract
Optimizing early breast cancer (BC) detection requires effective risk assessment tools. This retrospective study from Brazil showcases the efficacy of machine learning in discerning complex patterns within routine blood tests, presenting a globally accessible and cost-effective approach for risk evaluation. We analyzed complete blood count (CBC) tests from 396,848 women aged 40-70, who underwent breast imaging or biopsies within six months after their CBC test. Of these, 2861 (0.72%) were identified as cases: 1882 with BC confirmed by anatomopathological tests, and 979 with highly suspicious imaging (BI-RADS 5). The remaining 393,987 participants (99.28%), with BI-RADS 1 or 2 results, were classified as controls. The database was divided into modeling (including training and validation) and testing sets based on diagnostic certainty. The testing set comprised cases confirmed by anatomopathology and controls cancer-free for 4.5-6.5 years post-CBC. Our ridge regression model, incorporating neutrophil-lymphocyte ratio, red blood cells, and age, achieved an AUC of 0.64 (95% CI 0.64-0.65). We also demonstrate that these results are slightly better than those from a boosting machine learning model, LightGBM, plus having the benefit of being fully interpretable. Using the probabilistic output from this model, we divided the study population into four risk groups: high, moderate, average, and low risk, which obtained relative ratios of BC of 1.99, 1.32, 1.02, and 0.42, respectively. The aim of this stratification was to streamline prioritization, potentially improving the early detection of breast cancer, particularly in resource-limited environments. As a risk stratification tool, this model offers the potential for personalized breast cancer screening by prioritizing women based on their individual risk, thereby indicating a shift from a broad population strategy.
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Affiliation(s)
- Daniella Castro Araujo
- Huna, São Paulo, Brazil.
- Departamento de Ciências da Computação, Instituto de Ciências Exatas, Universidade Federal de Minas Gerais/UFMG, Campus Belo Horizonte, Minas Gerais, Brazil.
| | | | - Karina Braga Gomes
- Departamento de Análises Clínicas e Toxicológicas, Faculdade de Farmácia, Universidade Federal de Minas Gerais/UFMG, Campus Belo Horizonte, Minas Gerais, Brazil
| | | | | | | | | | | | - Adriano Alonso Veloso
- Departamento de Ciências da Computação, Instituto de Ciências Exatas, Universidade Federal de Minas Gerais/UFMG, Campus Belo Horizonte, Minas Gerais, Brazil
| | | | | | | | - Pedro Henrique Araújo de Souza
- Huna, São Paulo, Brazil
- Department of Oncology Clinical Research, Instituto Nacional de Câncer (INCA), Rio de Janeiro, Brazil
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Chen X, Liang W, Wu X, Wang Y, Hong Y, Xie M, Han R, Lin Z. A nomogram based on the SII3 and clinical indicators predicts survival in patients with nasopharyngeal carcinoma treated with PD-1 inhibitors. Medicine (Baltimore) 2024; 103:e38017. [PMID: 38728499 PMCID: PMC11081574 DOI: 10.1097/md.0000000000038017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/02/2023] [Accepted: 04/05/2024] [Indexed: 05/12/2024] Open
Abstract
Numerous inflammatory indicators have been demonstrated to be strongly correlated with tumor prognosis. However, the association between inflammatory indicators and the prognosis of patients with nasopharyngeal carcinoma (NPC) receiving treatment with programmed death receptor-1 (PD-1) immunosuppressant monoclonal antibodies remains uncertain. Inflammatory indicators in peripheral blood were collected from 161 NPC patients at 3 weeks after initial PD-1 treatment. Through univariate and multivariate analyses, as well as nomogram and survival analyses, we aimed to identify independent prognostic factors related to 1-year progression-free survival (PFS). Subsequently, a prognostic nomogram was devised, and its predictive and discriminating abilities were assessed utilizing calibration curves and the concordance index. Our univariate and multivariate analyses indicated that age (P = .012), M stage (P < .001), and systemic immune-inflammation index (SII) during the third week following initial PD-1 treatment (SII3, P = .005) were independently correlated with the 1-year PFS of NPC patients after PD-1 treatment. Notably, we constructed a novel nomogram based on the SII3, age, and M stage. Importantly, utilizing the derived cutoff point from the nomogram, the high-risk group exhibited significantly shorter PFS than did the low-risk group (P < .001). Furthermore, the nomogram demonstrated a greater concordance index for PFS than did the tumor node metastasis stage within the entire cohort. We successfully developed a nomogram that integrates the SII3 and clinical markers to accurately predict the 1-year PFS of NPC patients receiving PD-1 inhibitor treatment.
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Affiliation(s)
- Xiongyi Chen
- Department of Clinical Laboratory, The First People’s Hospital of Zhaoqing, Zhaoqing, China
| | - Wenjing Liang
- Department of Pharmacy, The First People’s Hospital of Zhaoqing, Zhaoqing, China
| | - Xiaowen Wu
- Department of Clinical Laboratory, The First People’s Hospital of Zhaoqing, Zhaoqing, China
| | - Yueying Wang
- Department of Clinical Laboratory, The First People’s Hospital of Zhaoqing, Zhaoqing, China
| | - Yansui Hong
- Department of Clinical Laboratory, The First People’s Hospital of Zhaoqing, Zhaoqing, China
| | - Meiyu Xie
- Department of Clinical Laboratory, The First People’s Hospital of Zhaoqing, Zhaoqing, China
| | - Runkun Han
- Department of Clinical Laboratory, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Zhifang Lin
- Department of Clinical Laboratory, The First People’s Hospital of Zhaoqing, Zhaoqing, China
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Xiao CY, Ma YH, Zhao YL, Liu JY, Tan L. Association of peripheral immunity and cerebral small vessel disease in older adults without dementia: A longitudinal study. Neurobiol Aging 2024; 137:55-61. [PMID: 38422799 DOI: 10.1016/j.neurobiolaging.2024.02.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2023] [Revised: 02/07/2024] [Accepted: 02/14/2024] [Indexed: 03/02/2024]
Abstract
This study explored the associations between peripheral immunity with cerebral small vessel diseases. Older adults without dementia from the Alzheimer's Disease Neuroimaging Initiative were investigated. Peripheral blood was obtained, and magnetic resonance imaging was performed to measure cerebral microbleeds (CMB), lacunar infarctions (LI), and white matter hyperintensities (WMH). Multivariable-adjusted regression models, linear mixed-effects models, and the Spearman correlations were used to evaluate the associations. At baseline, individuals with greater neutrophils (odds ratio [OR] =1.10, 95% confidence interval [CI] 1.00-1.20, p=0.042) and monocytes (OR=1.12, 95% CI 1.02-1.22, p=0.016) had higher WMH volume. On the contrary, a higher lymphocyte-to-monocyte ratio (LMR) was related to lower WMH volume (OR=0.91, 95% CI 0.82-1.00, p=0.041). Longitudinally, higher neutrophils (ρ=0.084, p=0.049) and NLR (ρ=0.111, p=0.009) predicted accelerated progression of WMH volume, while a greater LMR (ρ=-0.101, p=0.018) was linked to slower growth of WMH volume. Nevertheless, associations between peripheral immunity with CMB or LI were not observed at baseline and follow-up. Our study found that peripheral immune indexes could serve as convenient noninvasive biomarkers of WMH.
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Affiliation(s)
- Chu-Yun Xiao
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Ya-Hui Ma
- Department of Neurology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Yong-Li Zhao
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Jia-Yao Liu
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Lan Tan
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China.
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20
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Lu HR, Zhu PF, Deng YY, Chen ZL, Yang L. Predictive value of NLR and PLR for immune-related adverse events: a systematic review and meta-analysis. Clin Transl Oncol 2024; 26:1106-1116. [PMID: 37682501 DOI: 10.1007/s12094-023-03313-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Accepted: 08/20/2023] [Indexed: 09/09/2023]
Abstract
BACKGROUND Currently, there is a lack of affordable and accessible indicators that can accurately predict immune-related adverse events (irAEs) resulting from the use of immune checkpoint inhibitors (ICIs). In order to address this knowledge gap, our study explore the potential predictive value of two ratios, namely the neutrophil-lymphocyte ratio (NLR) and platelet-lymphocyte ratio (PLR), for irAEs in cancer patients. METHODS A systematic search was performed in PubMed, Embase, and the Cochrane library. Studies involving NLR or PLR with irAEs were included. Quality and risk of bias of the selected studies were assessed. Forest plots were created based on Cox model analysis. Random effects meta-analyses were conducted to estimate odds ratio (OR) and its 95% confidence interval (CI). RESULTS After screening 594 studies, a total of 7 eligible studies with 1068 cancer patients were included. Analysis based on Cox regression showed that low neutrophil-lymphocyte ratio (L-NLR) (OR = 3.02, 95% CI 1.51 to 6.05, P = 0.002) and low platelet-lymphocyte ratio (L-PLR) (OR = 1.83, 95% CI 1.21 to 2.76, P = 0.004) were associated with irAEs. In the subgroup analysis of cut-off value, when the NLR cut-off value was 3, irAEs was significantly correlated with NLR (OR = 2.63, 95% CI 1.63 to 4.26, P < 0.001). CONCLUSIONS Both L-NLR and L-PLR have been found to be significantly associated with irAEs. Consequently, patients identified as being at a higher risk for irAEs should be subjected to more diligent monitoring and close observation.
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Affiliation(s)
- Hong-Rui Lu
- Graduate School of Clinical Medicine, Bengbu Medical College, Bengbu, 233000, Anhui Province, China
- Cancer Center, Department of Medical Oncology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, 310014, Zhejiang, China
| | - Peng-Fei Zhu
- Graduate School of Clinical Medicine, Bengbu Medical College, Bengbu, 233000, Anhui Province, China
- Cancer Center, Department of Medical Oncology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, 310014, Zhejiang, China
| | - Ya-Ya Deng
- Cancer Center, Department of Medical Oncology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, 310014, Zhejiang, China
- Graduate Department, Jinzhou Medical University, Jinzhou, 121000, Liaoning, China
| | - Zhe-Ling Chen
- Cancer Center, Department of Medical Oncology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, 310014, Zhejiang, China.
| | - Liu Yang
- Graduate School of Clinical Medicine, Bengbu Medical College, Bengbu, 233000, Anhui Province, China.
- Cancer Center, Department of Medical Oncology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, 310014, Zhejiang, China.
- Graduate Department, Jinzhou Medical University, Jinzhou, 121000, Liaoning, China.
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Zhao L, Wei Y, Liu Q, Cai J, Mo X, Tang X, Wang X, Qin L, Liang Y, Cao J, Huang C, Lu Y, Zhang T, Luo L, Rong J, Wu S, Jin W, Guan Q, Teng K, Li Y, Qin J, Zhang Z. Association between multiple-heavy-metal exposures and systemic immune inflammation in a middle-aged and elderly Chinese general population. BMC Public Health 2024; 24:1192. [PMID: 38679723 PMCID: PMC11057124 DOI: 10.1186/s12889-024-18638-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Accepted: 04/17/2024] [Indexed: 05/01/2024] Open
Abstract
BACKGROUND Exposure to heavy metals alone or in combination can promote systemic inflammation. The aim of this study was to investigate potential associations between multiple plasma heavy metals and markers of systemic immune inflammation. METHODS Using a cross-sectional study, routine blood tests were performed on 3355 participants in Guangxi, China. Eight heavy metal elements in plasma were determined by inductively coupled plasma mass spectrometry. Immunoinflammatory markers were calculated based on peripheral blood WBC and its subtype counts. A generalised linear regression model was used to analyse the association of each metal with the immunoinflammatory markers, and the association of the metal mixtures with the immunoinflammatory markers was further assessed using weighted quantile sum (WQS) regression. RESULTS In the single-metal model, plasma metal Fe (log10) was significantly negatively correlated with the levels of immune-inflammatory markers SII, NLR and PLR, and plasma metal Cu (log10) was significantly positively correlated with the levels of immune-inflammatory markers SII and PLR. In addition, plasma metal Mn (log10 conversion) was positively correlated with the levels of immune inflammatory markers NLR and PLR. The above associations remained after multiple corrections. In the mixed-metal model, after WQS regression analysis, plasma metal Cu was found to have the greatest weight in the positive effects of metal mixtures on SII and PLR, while plasma metals Mn and Fe had the greatest weight in the positive effects of metal mixtures on NLR and LMR, respectively. In addition, blood Fe had the greatest weight in the negative effects of the metal mixtures for SII, PLR and NLR. CONCLUSION Plasma metals Cu and Mn were positively correlated with immunoinflammatory markers SII, NLR and PLR. While plasma metal Fe was negatively correlated with immunoinflammatory markers SII, NLR, and PLR.
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Affiliation(s)
- Linhai Zhao
- Department of Occupational and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China
| | - Yanfei Wei
- Department of Epidemiology, School of Public Health (Guangdong Provincial Key Laboratory of Tropical Disease Research), Southern Medical University, Guangzhou, Guangdong, China
| | - Qiumei Liu
- Department of Occupational and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China
| | - Jiansheng Cai
- School of Public Health, Guilin Medical University, Guilin, Guangxi Zhuang Autonomous Region, China
- Guangxi Key Laboratory of Entire Lifecycle Health and Care, Guilin Medical University, Guilin, Guangxi Zhuang Autonomous Region, China
| | - Xiaoting Mo
- Department of Occupational and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China
| | - Xu Tang
- Department of Occupational and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China
| | - Xuexiu Wang
- Department of Occupational and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China
| | - Lidong Qin
- Department of Occupational and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China
| | - Yujian Liang
- Department of Occupational and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China
| | - Jiejing Cao
- Department of Occupational and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China
| | - Chuwu Huang
- Department of Occupational and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China
| | - Yufu Lu
- Department of Occupational and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China
| | - Tiantian Zhang
- Department of Occupational and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China
| | - Lei Luo
- Department of Occupational and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China
| | - Jiahui Rong
- Department of Occupational and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China
| | - Songju Wu
- Department of Occupational and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China
| | - Wenjia Jin
- Department of Occupational and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China
| | - Qinyi Guan
- Department of Occupational and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China
| | - Kaisheng Teng
- Department of Occupational and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China
| | - You Li
- School of Public Health, Guilin Medical University, Guilin, Guangxi Zhuang Autonomous Region, China
| | - Jian Qin
- Department of Occupational and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China.
- Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China.
- Guangxi Key Laboratory of Environment and Health Research, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China.
- Key Laboratory of Longevity and Aging-related Diseases of Chinese Ministry of Education, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China.
| | - Zhiyong Zhang
- Department of Occupational and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China.
- School of Public Health, Guilin Medical University, Guilin, Guangxi Zhuang Autonomous Region, China.
- Guangxi Key Laboratory of Entire Lifecycle Health and Care, Guilin Medical University, Guilin, Guangxi Zhuang Autonomous Region, China.
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Cheng DX, Xu KD, Liu HB, Liu Y. Prognostic value of a nomogram model for postoperative liver metastasis of colon cancer. World J Gastrointest Surg 2024; 16:1055-1065. [PMID: 38690047 PMCID: PMC11056678 DOI: 10.4240/wjgs.v16.i4.1055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Revised: 01/18/2024] [Accepted: 03/07/2024] [Indexed: 04/22/2024] Open
Abstract
BACKGROUND Colon cancer is one of the most common malignant tumors of the digestive system. Liver metastasis after colon cancer surgery is the primary cause of death in patients with colon cancer. AIM To construct a novel nomogram model including various factors to predict liver metastasis after colon cancer surgery. METHODS We retrospectively analyzed 242 patients with colon cancer who were admitted and underwent radical resection for colon cancer in Zhejiang Provincial People's Hospital from December 2019 to December 2022. Patients were divided into liver metastasis and non-liver metastasis groups. Sex, age, and other general and clinicopathological data (preoperative blood routine and biochemical test indexes) were compared. The risk factors for liver metastasis were analyzed using single-factor and multifactorial logistic regression. A predictive model was then constructed and evaluated for efficacy. RESULTS Systemic inflammatory index (SII), C-reactive protein/albumin ratio (CAR), red blood cell distribution width (RDW), alanine aminotransferase, preoperative carcinoembryonic antigen level, and lymphatic metastasis were different between groups (P < 0.05). SII, CAR, and RDW were risk factors for liver metastasis after colon cancer surgery (P < 0.05). The area under the curve was 0.93 for the column-line diagram prediction model constructed based on these risk factors to distinguish whether liver metastasis occurred postoperatively. The actual curve of the column-line diagram predicting the risk of postoperative liver metastasis was close to the ideal curve, with good agreement. The prediction model curves in the decision curve analysis showed higher net benefits for a larger threshold range than those in extreme cases, indicating that the model is safer. CONCLUSION Liver metastases after colorectal cancer surgery could be well predicted by a nomogram based on the SII, CAR, and RDW.
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Affiliation(s)
- De-Xin Cheng
- Cancer Center, Department of Interventional Medicine, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital, Hangzhou Medical College), Hangzhou 310014, Zhejiang Province, China
| | - Kang-Di Xu
- General Surgery, Cancer Center, Department of Vascular Surgery, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital, Hangzhou Medical College), Hangzhou 310014, Zhejiang Province, China
| | - Han-Bo Liu
- Cancer Center, Department of Interventional Medicine, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital, Hangzhou Medical College), Hangzhou 310014, Zhejiang Province, China
| | - Yi Liu
- General Surgery, Cancer Center, Department of Vascular Surgery, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital, Hangzhou Medical College), Hangzhou 310014, Zhejiang Province, China
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Yu Z, Shang Z, Huang Q, Wen F, Patil S. Integrating systemic immune-inflammation index, fibrinogen, and T-SPOT.TB for precision distinction of active pulmonary tuberculosis in the era of mycobacterial disease research. Front Microbiol 2024; 15:1382665. [PMID: 38725688 PMCID: PMC11079184 DOI: 10.3389/fmicb.2024.1382665] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Accepted: 04/15/2024] [Indexed: 05/12/2024] Open
Abstract
Background The clinical challenge of differentiating suspected tuberculosis with positive T-SPOT.TB results persist. This study aims to investigate the utility of the Systemic Immune-Inflammation Index (SII), Fibrinogen, and T-SPOT.TB in distinguishing between active pulmonary tuberculosis (PTB) and non-tuberculous lung diseases. Methods A retrospective analysis included 1,327 cases of active PTB with positive T-SPOT.TB results and 703 cases of non-tuberculous lung diseases from May 2016 to December 2020 at Meizhou People's Hospital. These were designated as the case group and the control group, respectively. The detection indicators of T-SPOT.TB: Early Secreted Antigenic Target 6 (ESAT-6), Culture Filtrate Protein 10 (CFP-10), as well as SII and Fibrinogen levels-were compared and analyzed for association and joint diagnostic value between the two groups. Results The case group showed higher values of ESAT-6, CFP-10, SII, and Fibrinogen compared to the control group (all p < 0.001). In the case group, SII and Fibrinogen did not correlate with ESAT-6 and CFP-10 (∣rs∣ all < 0.3) but were positively correlated with C-reactive protein (CRP; rs all > 0.3). SII and Fibrinogen values in smear-positive pulmonary tuberculosis were higher than in smear-negative cases (all p < 0.05). The optimal diagnostic thresholds for ESAT-6, CFP-10, SII, and Fibrinogen in differentiating between active PTB and non-tuberculous lung diseases were 21.50 SFCs/106 PBMC, 22.50 SFCs/106 PBMC, 2128.32, and 5.02 g/L, respectively. Regression logistic analysis showed that ESAT-6 < 21.5 (OR: 1.637, 95% CI: 1.311-2.043, p < 0.001), CFP-10 < 22.5 (OR: 3.918, 95% CI: 3.138-4.892, p = 0.025), SII < 2128.32 (OR: 0.763, 95% CI: 0.603-0.967, p < 0.001), and FIB < 5.02 (OR: 2.287, 95% CI: 1.865-2.806, p < 0.001) were independent risk factors for active PTB. The specificity for ESAT-6 + CFP-10, ESAT-6 + CFP-10 + SII, ESAT-6 + CFP-10 + FIB, and ESAT-6 + CFP-10 + SII + FIB was 82.5%, 83.2%, 95.8%, and 80.1%, respectively, while sensitivity was 52.6%, 53.0%, 55.8%, and 44.7%, and positive predictive values were 85.0%, 85.6%, 84.1%, and 89.6%, respectively. Conclusion SII and Fibrinogen are positively correlated with the degree of tuberculosis inflammation and the bacterial load of Mycobacterium tuberculosis. The combined detection of SII, Fibrinogen, and T-SPOT.TB is significant in distinguishing between active PTB with positive T-SPOT.TB results and non-tuberculous lung diseases.
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Affiliation(s)
- Zhikang Yu
- Research Experiment Center, Meizhou People's Hospital, Meizhou Academy of Medical Sciences, Meizhou, China
- Guangdong Engineering Technological Research Center of Clinical Molecular Diagnosis and Antibody Drugs, Meizhou, China
| | - Zifang Shang
- Research Experiment Center, Meizhou People's Hospital, Meizhou Academy of Medical Sciences, Meizhou, China
- Guangdong Engineering Technological Research Center of Clinical Molecular Diagnosis and Antibody Drugs, Meizhou, China
| | - Qingyan Huang
- Research Experiment Center, Meizhou People's Hospital, Meizhou Academy of Medical Sciences, Meizhou, China
- Guangdong Engineering Technological Research Center of Clinical Molecular Diagnosis and Antibody Drugs, Meizhou, China
| | - Feiqiu Wen
- Department of Haematology and Oncology, Shenzhen Children’s Hospital, Shenzhen, China
| | - Sandip Patil
- Department of Haematology and Oncology, Shenzhen Children’s Hospital, Shenzhen, China
- Paediatric Research Institute, Shenzhen Children’s Hospital, Shenzhen, China
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Zhang T, Ye R, Shen Z, Chang Q, Zhao Y, Chen L, Zhao L, Xia Y. Joint association of serum urate and healthy diet with chronic obstructive pulmonary disease incidence: results from the UK Biobank study. Food Funct 2024; 15:4642-4651. [PMID: 38595152 DOI: 10.1039/d3fo02750c] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/11/2024]
Abstract
Background: The role of serum urate (SU) levels in the development of chronic obstructive pulmonary disease (COPD) remains a topic of debate, and it is unclear whether a healthy diet can mitigate the impact of SU on COPD risk. The objective of this study is to examine whether and to what extent a healthy diet can reduce the risk of COPD in relation to SU levels. Methods: The cohort analysis included 155 403 participants from the UK Biobank. SU levels were measured at the time of recruitment. A healthy diet score was calculated based on the consumption of vegetables, fruits, fish, processed meats, unprocessed red meat, whole grains, and refined grains. The Cox proportional hazards model was used to analyze the associations between SU levels, a healthy diet score, and the risk of COPD. Results: During a follow-up period of 1 409 969 person-years, 2918 incident cases of COPD were identified. Compared with the lowest SU level group, the hazard ratio (HR) and 95% confidence interval (CI) for COPD were 1.17 (1.03, 1.34) for participants with the highest SU level (hyperuricemia), indicating a positive association. Additionally, a dose-response relationship was observed between SU levels and the incidence of COPD (P-value for overall <0.0001). In the combined effect analysis, compared to individuals with high SU (hyperuricemia) + a low diet score (diet score <4), those with normal SU + a high diet score (diet score ≥4) had a HR (95% CI) of 0.75 (0.65, 0.87) for COPD. Conclusions: In summary, there is a positive association between SU levels and the risk of COPD. Furthermore, a healthier diet can mitigate the risk of COPD associated with high SU levels.
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Affiliation(s)
- Tingjing Zhang
- Department of Nutrition and Food Hygiene, School of Public Health, Wannan Medical College, Wuhu, China
- Institutes of Brain Science, Wannan Medical College
| | - Rui Ye
- Department of Pulmonary and Critical Care Medicine, Shengjing Hospital of China Medical University, Shenyang, China.
| | - Zhenfei Shen
- Department of Clinical Nutrition, Yijishan Hospital of Wannan Medical College, Wuhu, China
| | - Qing Chang
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
- Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Shenyang, China
| | - Yuhong Zhao
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
- Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Shenyang, China
| | - Liangkai Chen
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Li Zhao
- Department of Pulmonary and Critical Care Medicine, Shengjing Hospital of China Medical University, Shenyang, China.
| | - Yang Xia
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
- Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Shenyang, China
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Mao L, Chen L, Qu M, He X. Pericarotid Adipose Tissue is Associated with Circulatory Markers of Inflammation and Carotid Atherosclerosis. Angiology 2024:33197241248776. [PMID: 38644057 DOI: 10.1177/00033197241248776] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/23/2024]
Abstract
Perivascular adipose tissue plays roles in vascular inflammation and atherosclerosis. The present study aimed to evaluate the association between pericarotid fat density (PFD) and circulatory inflammatory indicators, internal carotid artery (ICA) stenosis, and vulnerable carotid plaques. We retrospectively screened 498 consecutive patients who underwent both computed tomography angiography of the neck between January 2017 and December 2020. The PFD, ICA stenosis, and vulnerable carotid plaques were analyzed using established approaches. Laboratory data including C-reactive protein (CRP) levels, lymphocyte-to-monocyte ratio (LMR), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic immune inflammation index (SII) were recorded. PFD was positively correlated with CRP, NLR, PLR, and SII, and negatively correlated with LMR. A higher PFD was independently associated with extracranial ICA stenosis (1.179 [1.003-1.387], P = .040) and vulnerable carotid plaques (1.046 [1.021-1.072], P = .001) after adjusting for systemic inflammatory indicators. These findings suggested higher PFD is independently associated with circulating inflammatory indicators, extracranial ICA stenosis, and vulnerable carotid plaque.
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Affiliation(s)
- Lingqun Mao
- Department of Neurology, Taizhou Central Hospital (Taizhou University Hospital), Taizhou University, Taizhou, China
| | - Linkao Chen
- Department of Neurology, Taizhou Central Hospital (Taizhou University Hospital), Taizhou University, Taizhou, China
| | - Man Qu
- Department of Neurology, Taizhou Central Hospital (Taizhou University Hospital), Taizhou University, Taizhou, China
| | - Xinwei He
- Department of Neurology, Taizhou Central Hospital (Taizhou University Hospital), Taizhou University, Taizhou, China
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Ji P, He J. Prognostic value of pretreatment systemic immune-inflammation index in patients with endometrial cancer: a meta-analysis. Biomark Med 2024. [PMID: 38623927 DOI: 10.2217/bmm-2023-0629] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/17/2024] Open
Abstract
Background: The present work focused on evaluating the systemic immune-inflammation index (SII) for its role in predicting endometrial cancer (EC) patient prognosis by meta-analysis. Methods: SII's role in predicting the prognosis of EC patients was analyzed by calculating combined hazard ratios (HRs) and 95% CIs. Results: As revealed by combined analysis, an increased SII predicted poor overall survival (HR = 2.01; 95% CI = 1.58-2.57; p < 0.001) as well as inferior progression-free survival (HR = 1.87; 95% CI = 1.36-2.58; p < 0.001) of EC. Conclusion: An increased SII score significantly predicted poor overall survival and progression-free survival in subjects with EC. The SII is suitable for predicting short- and long-term prognoses of patients with EC.
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Affiliation(s)
- Pengtian Ji
- Department of Oncological Radiotherapy, Huzhou Central Hospital, Affiliated Central Hospital of Huzhou University, The Fifth School of Clinical Medicine of Zhejiang Chinese Medical University, Huzhou, Zhejiang, 313000, China
| | - Junjun He
- Clinical Laboratory, Huzhou Traditional Chinese Medicine Hospital Affiliated to Zhejiang Chinese Medical University, Huzhou, Zhejiang, China
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Wang L, Gao J, Liu B, Fu Y, Yao Z, Guo S, Song Z, Zhang Z, He J, Wang C, Ma W, Wu F. The association between lymphocyte-to-monocyte ratio and all-cause mortality in obese hypertensive patients with diabetes and without diabetes: results from the cohort study of NHANES 2001-2018. Front Endocrinol (Lausanne) 2024; 15:1387272. [PMID: 38686205 PMCID: PMC11056572 DOI: 10.3389/fendo.2024.1387272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2024] [Accepted: 04/02/2024] [Indexed: 05/02/2024] Open
Abstract
Objective Obesity, hypertension and diabetes are high prevalent that are often associated with poor outcomes. They have become major global health concern. Little research has been done on the impact of lymphocyte-to-monocyte ratio (LMR) on outcomes in these patients. Thus, we aimed to explore the association between LMR and all-cause mortality in obese hypertensive patients with diabetes and without diabetes. Methods The researchers analyzed data from the National Health and Nutrition Examination Survey (2001-2018), which included 4,706 participants. Kaplan-Meier analysis was employed to compare survival rate between different groups. Multivariate Cox proportional hazards regression models with trend tests and restricted cubic splines (RCS) analysis and were used to investigate the relationship between the LMR and all-cause mortality. Subgroup analysis was performed to assess whether there was an interaction between the variables. Results The study included a total of 4706 participants with obese hypertension (48.78% male), of whom 960 cases (20.40%) died during follow-up (median follow-up of 90 months). Kaplan-Meier curves suggested a remarkable decrease in all-cause mortality with increasing LMR value in patients with diabetes and non-diabetes (P for log-rank test < 0.001). Moreover, multivariable Cox models demonstrated that the risk of mortality was considerably higher in the lowest quartile of the LMR and no linear trend was observed (P > 0.05). Furthermore, the RCS analysis indicated a non-linear decline in the risk of death as LMR values increased (P for nonlinearity < 0.001). Conclusions Increased LMR is independently related with reduced all-cause mortality in patients with obese hypertension, regardless of whether they have combined diabetes.
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Affiliation(s)
- Lixia Wang
- Department of Cardiology, Xi’an International Medical Center Hospital, Xi’an, Shaanxi, China
| | - Jie Gao
- Department of Cardiology, Xi’an International Medical Center Hospital, Xi’an, Shaanxi, China
| | - Bing Liu
- Department of Cardiology, Xi’an International Medical Center Hospital, Xi’an, Shaanxi, China
| | - Youliang Fu
- Department of Cardiology, Xi’an International Medical Center Hospital, Xi’an, Shaanxi, China
| | - Zhihui Yao
- Department of Cardiology, Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi, China
| | - Shanshan Guo
- Department of Cardiology, Xi’an International Medical Center Hospital, Xi’an, Shaanxi, China
| | - Ziwei Song
- Department of Cardiology, Xi’an International Medical Center Hospital, Xi’an, Shaanxi, China
| | - Zhaoyuan Zhang
- Department of Cardiology, Xi’an International Medical Center Hospital, Xi’an, Shaanxi, China
| | - Jiaojiao He
- Department of Cardiology, Xi’an International Medical Center Hospital, Xi’an, Shaanxi, China
| | - Congxia Wang
- Department of Cardiology, Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi, China
| | - Weidong Ma
- Department of Cardiology, Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi, China
| | - Feng Wu
- Department of Cardiology, Xi’an International Medical Center Hospital, Xi’an, Shaanxi, China
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Antonucci L, Karin M. The Past and Future of Inflammation as a Target to Cancer Prevention. Cancer Prev Res (Phila) 2024; 17:141-155. [PMID: 38271694 PMCID: PMC10987280 DOI: 10.1158/1940-6207.capr-23-0423] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Revised: 12/21/2023] [Accepted: 01/23/2024] [Indexed: 01/27/2024]
Abstract
Inflammation is an essential defense mechanism in which innate immune cells are coordinately activated on encounter of harmful stimuli, including pathogens, tissue injury, and toxic compounds and metabolites to neutralize and eliminate the instigator and initiate healing and regeneration. Properly terminated inflammation is vital to health, but uncontrolled runaway inflammation that becomes chronic begets a variety of inflammatory and metabolic diseases and increases cancer risk. Making damaged tissues behave as "wounds that do not heal" and sustaining the production of growth factors whose physiologic function is tissue healing, chronic inflammation accelerates cancer emergence from premalignant lesions. In 1863, Rudolf Virchow, a leading German pathologist, suggested a possible association between inflammation and tumor formation, but it took another 140 years to fully elucidate and appreciate the tumorigenic role of inflammation. Key findings outlined molecular events in the inflammatory cascade that promote cancer onset and progression and enabled a better appreciation of when and where inflammation should be inhibited. These efforts triggered ongoing research work to discover and develop inflammation-reducing chemopreventive strategies for decreasing cancer risk and incidence.
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Affiliation(s)
- Laura Antonucci
- Laboratory of Gene Regulation and Signal Transduction, Departments of Pharmacology and Pathology, University of California San Diego School of Medicine; La Jolla, CA 92093, USA
| | - Michael Karin
- Laboratory of Gene Regulation and Signal Transduction, Departments of Pharmacology and Pathology, University of California San Diego School of Medicine; La Jolla, CA 92093, USA
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Agaoglu Sanli B, Gulmez B, Yazgan S, Ucvet A. The effect of platelet-to-lymphocyte ratıo (PLR) and glasgow prognostıc score (GPS) on recurrence, and survıval ın patıents undergoıng lobectomy for early-stage non-small cell lung cancer (NSCLC). Updates Surg 2024; 76:631-639. [PMID: 37853294 DOI: 10.1007/s13304-023-01669-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2023] [Accepted: 09/29/2023] [Indexed: 10/20/2023]
Abstract
Tumor markers are indicators that can be used not only for cancer diagnosis but also for determining prognosis. Unfortunately, there is currently no tumor marker that reliably predicts the prognosis of lung cancer. In this study, we investigated the prognostic impact of the platelet-to-lymphocyte ratio (PLR) and Glasgow Prognostic Score (GPS), known as inflammation markers in peripheral blood, in patients who underwent resection for early-stage non-small cell lung cancer (NSCLC). We retrospectively analyzed the medical records of a total of 3300 patients who underwent surgery for NSCLC between 2010 and 2020. Among these patients, 250 met the inclusion criteria of lobectomy, pT1-T2N0 stage, and histology of adenocarcinoma or squamous cell carcinoma. Preoperative albumin, C-reactive protein (CRP), preoperative PLR, and postoperative 5th-day PLR values were determined from patient's peripheral blood data. The impact of these values on postoperative recurrence and survival was investigated. GPS was calculated based on preoperative CRP and albumin values, and patients were divided into 3 groups: 0 (mild), 1 (moderate), and 2 (severe). The relationship between preoperative GPS and survival was analysed. Among the included patients, 155 (62%) had adenocarcinoma and 95 (38%) had squamous cell carcinoma. A total of 185 (74%) patients had pT1 tumors, while 65 (26%) had pT2 tumors. During the postoperative follow-up period, local recurrence was observed in 28 (11.2%) patients and distant metastasis in 51 (20.4%) patients. The overall mortality rate was 19.6%. The 5-year survival rates for pT1 and pT2 tumors were 80.4% and 72.5%, respectively. Significant associations were found between preoperative PLR, postoperative PLR, and recurrence (p = 0.005 and p = 0.011). The expected overall survival (OS) was 103.4 months in the mild GPS group, 91.8 months in the moderate GPS group, and 50 months in the severe GPS group. The relationship between GPS groups and OS was statistically significant (p = 0.005). Preoperative analysis of PLR and GPS may provide prognostic value in NSCLC patients who undergo surgical resection. Our study provides a rationale for further investigation of peripheral blood immune markers for prognostic purposes.
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Affiliation(s)
- Bahar Agaoglu Sanli
- Dr Suat Seren Chest Diseases and Chest Surgery Training and Research Hospital, University of Health Sciences Turkey, Izmir, Turkey.
| | - Barıs Gulmez
- Van Training and Research Hospital, Thoracic Surgery Clinic, University of Health Sciences Turkey, Van, Turkey
| | - Serkan Yazgan
- Dr Suat Seren Chest Diseases and Chest Surgery Training and Research Hospital, University of Health Sciences Turkey, Izmir, Turkey
| | - Ahmet Ucvet
- Dr Suat Seren Chest Diseases and Chest Surgery Training and Research Hospital, University of Health Sciences Turkey, Izmir, Turkey
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30
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Juan X, Jiali H, Ziqi L, Liqing Z, Han Z. Development and validation of nomogram models for predicting postoperative prognosis of early-stage laryngeal squamous cell carcinoma. Curr Probl Cancer 2024; 49:101079. [PMID: 38492281 DOI: 10.1016/j.currproblcancer.2024.101079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2023] [Revised: 01/17/2024] [Accepted: 03/05/2024] [Indexed: 03/18/2024]
Abstract
BACKGROUND We aimed to investigate the postoperative prognosis in patients with early-stage laryngeal squamous cell carcinoma (LSCC) in association with the preoperative blood markers and clinicopathological characteristics and to develop nomograms for individual risk prediction. METHODS The clinical data of 353 patients with confirmed early-stage LSCC between 2009 and 2018 were retrospectively retrieved from the First Affiliated Hospital with Nanjing Medical University. All patients were randomly divided into the training and testing groups in a 7:3 ratio. Univariate and multivariate analyses were performed, followed by the construction of nomograms to predict recurrence-free survival (RFS) and overall survival (OS). Finally, the nomograms were verified internally, and the predictive capability of the nomograms was evaluated and compared with that of tumour T staging. RESULTS Univariate and multivariate analyses identified platelet counts (PLT), fibrinogen (FIB), and platelet to lymphocyte ratio (PLR) were independent factors for RFS, and FIB, systemic immune-inflammation index (SII), and haemoglobin (HGB) were independent prognostic factors for OS. The nomograms showed higher predictive C-indexes than T staging. Furthermore, decision curve analysis (DCA) revealed that the net benefit of the nomograms' calculation model was superior to that of T staging. CONCLUSIONS We established and validated nomograms to predict postoperative 1-, 3- and 5-year RFS and OS in patients with early-stage LSCC based on significant blood markers and clinicopathological characteristics. These models might help clinicians make personalized treatment decisions.
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Affiliation(s)
- Xu Juan
- Department of Otorhinolaryngology, The First Affiliated Hospital, Nanjing Medical University, Nanjing, Jiangsu, China; Department of Otorhinolaryngology-Head and Neck surgery, Shanghai Pudong New Area People's Hospital, Shanghai, China
| | - Huang Jiali
- Department of Otorhinolaryngology, The First Affiliated Hospital, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Liu Ziqi
- Department of Otorhinolaryngology, The First Affiliated Hospital, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Zhang Liqing
- Department of Otorhinolaryngology, The First Affiliated Hospital, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Zhou Han
- Department of Otorhinolaryngology, The First Affiliated Hospital, Nanjing Medical University, Nanjing, Jiangsu, China.
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Huang L, Chen S, Liu H, Meng L, Liu C, Wu X, Wang Y, Luo S, Tu H, Wang C, Zhang M, Gong X. PD-L1 inhibitors combined with whole brain radiotherapy in patients with small cell lung cancer brain metastases: Real-world evidence. Cancer Med 2024; 13:e7125. [PMID: 38613182 PMCID: PMC11015079 DOI: 10.1002/cam4.7125] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 02/28/2024] [Accepted: 03/08/2024] [Indexed: 04/14/2024] Open
Abstract
BACKGROUND Numerous studies have demonstrated that brain metastases patients may benefit from intracranial radiotherapy combined with immune checkpoint inhibitors (ICIs). However, it is unclear whether this treatment is effective for patients with small cell lung cancer brain metastases (SCLC-BMs). METHODS We conducted a retrospective study by analyzing medical records of patients with SCLC-BMs from January 1, 2017 to June 1, 2022. Data related to median overall survival (mOS), median progression-free survival (mPFS), and intracranial progression-free survival (iPFS) were analyzed. RESULTS A total of 109 patients were enrolled, of which 60 received WBRT and 49 received WBRT-ICI. Compared to the WBRT alone cohort, the WBRT-ICI cohort showed longer mOS (20.4 months vs. 29.3 months, p = 0.021), mPFS (7.9 months vs. 15.1 months, p < 0.001), and iPFS (8.3 months vs. 16.5 months, p < 0.001). Furthermore, WBRT-ICI cohort had a better response rate for both BMs. (p = 0.035) and extracranial diseases (p < 0.001) compared to those receiving WBRT alone. Notably, the use of WBRT before ICI was associated with longer mOS compared to the use of WBRT after ICI (23.3 months for the ICI-WBRT group vs. 34.8 months for the WBRT-ICI group, p = 0.020). CONCLUSION Our results indicated that WBRT combined with immunotherapy improved survival in SCLC-BMs patients compared to WBRT monotherapy. Administering WBRT prior to ICI treatment is associated with improved survival outcomes compared to WBRT following ICI treatment, for patients with SCLC-BMs. These findings highlight the significance of conducting further prospective researches on combination strategies of intracranial radiotherapy and ICI in SCLC-BMs patients.
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Affiliation(s)
- Litang Huang
- Department of Radiation Oncology, Shanghai Pulmonary Hospital, School of MedicineTongji UniversityShanghaiChina
| | - Shen Chen
- Department of Oncology, Shanghai Pulmonary HospitalTongji University, School of MedicineShanghaiChina
| | - Hui Liu
- Department of Radiation Oncology, Shanghai Pulmonary Hospital, School of MedicineTongji UniversityShanghaiChina
| | - Lu Meng
- Department of Radiation Oncology, Shanghai Pulmonary Hospital, School of MedicineTongji UniversityShanghaiChina
| | - Chengxing Liu
- Department of Cardiology, Tongji HospitalTongji University, School of MedicineShanghaiChina
| | - Xiaoting Wu
- Department of Radiation Oncology, Shanghai Pulmonary Hospital, School of MedicineTongji UniversityShanghaiChina
| | - Yingying Wang
- Department of Radiation Oncology, Shanghai Pulmonary Hospital, School of MedicineTongji UniversityShanghaiChina
| | - Shilan Luo
- Department of Radiation Oncology, Shanghai Pulmonary Hospital, School of MedicineTongji UniversityShanghaiChina
| | - Hongbin Tu
- Department of Integrated TCM and Western Medicine, Shanghai Pulmonary HospitalTongji University, School of MedicineShanghaiChina
| | - Chunlei Wang
- Department of EndocrinologyThe Fourth Affiliated Hospital of Nantong UniversityJiangsuChina
| | - Ming Zhang
- Department of Integrated Traditional Chinese and Western MedicineShanghai Jiao Tong University School of Medicine, Shanghai Chest HospitalShanghaiChina
| | - Xiaomei Gong
- Department of Radiation Oncology, Shanghai Pulmonary Hospital, School of MedicineTongji UniversityShanghaiChina
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Saluja S, Bansal I, Bhardwaj R, Beg MS, Palanichamy JK. Inflammation as a driver of hematological malignancies. Front Oncol 2024; 14:1347402. [PMID: 38571491 PMCID: PMC10987768 DOI: 10.3389/fonc.2024.1347402] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Accepted: 03/05/2024] [Indexed: 04/05/2024] Open
Abstract
Hematopoiesis is a tightly regulated process that produces all adult blood cells and immune cells from multipotent hematopoietic stem cells (HSCs). HSCs usually remain quiescent, and in the presence of external stimuli like infection or inflammation, they undergo division and differentiation as a compensatory mechanism. Normal hematopoiesis is impacted by systemic inflammation, which causes HSCs to transition from quiescence to emergency myelopoiesis. At the molecular level, inflammatory cytokine signaling molecules such as tumor necrosis factor (TNF), interferons, interleukins, and toll-like receptors can all cause HSCs to multiply directly. These cytokines actively encourage HSC activation, proliferation, and differentiation during inflammation, which results in the generation and activation of immune cells required to combat acute injury. The bone marrow niche provides numerous soluble and stromal cell signals, which are essential for maintaining normal homeostasis and output of the bone marrow cells. Inflammatory signals also impact this bone marrow microenvironment called the HSC niche to regulate the inflammatory-induced hematopoiesis. Continuous pro-inflammatory cytokine and chemokine activation can have detrimental effects on the hematopoietic system, which can lead to cancer development, HSC depletion, and bone marrow failure. Reactive oxygen species (ROS), which damage DNA and ultimately lead to the transformation of HSCs into cancerous cells, are produced due to chronic inflammation. The biological elements of the HSC niche produce pro-inflammatory cytokines that cause clonal growth and the development of leukemic stem cells (LSCs) in hematological malignancies. The processes underlying how inflammation affects hematological malignancies are still not fully understood. In this review, we emphasize the effects of inflammation on normal hematopoiesis, the part it plays in the development and progression of hematological malignancies, and potential therapeutic applications for targeting these pathways for therapy in hematological malignancies.
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Nevakivi R, Siiskonen H, Haimakainen S, Harvima IT. Spectrum of malignant and premalignant skin lesions in 505 adult subjects at risk of skin cancers. BMC Cancer 2024; 24:338. [PMID: 38486210 PMCID: PMC10938716 DOI: 10.1186/s12885-024-12035-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Accepted: 02/21/2024] [Indexed: 03/18/2024] Open
Abstract
Patients at risk of skin cancers can develop varying types of cutaneous malignancies. However, some subjects may develop only one type of lesion. In this cross-sectional study, the spectrum of premalignant (PM) and malignant skin lesions and their risk factors were studied. Therefore, 505 adult subjects (aged 21-79 years, 256 males and 249 females, 96 with immunosuppression) at risk of any type of skin cancer were examined for cutaneous malignancies, nevi, actinic keratoses, photodamage, and possible risk factors. First, 12 different groups were identified with a varying set of PM and/or malignant skin lesions. Next, 5 larger groups were formed from them: basal cell carcinoma (BCC) only, malignant melanoma (MM) only, squamous cell carcinoma (SCC) and/or PM, BCC + SCC and/or PM, and MM + keratinocyte carcinoma (KC) and/or PM. The groups with BCC or MM only were younger and showed less photodamage than the mixed groups, while SCC/PM showed similarity with them. In logistic regression analyses, the platelet-to-lymphocyte ratio was associated with an increased risk of concomitant KC (OR 1.028, p = 0.023) or SCC/PM (OR 1.009, p = 0.047) in subjects with MM or BCC, respectively. Actinic keratoses produced ORs 0.246-0.252 (p = 0.008-0.020) for BCC in subjects with SCC/PM. Interestingly, atypical mole syndrome decreased the risk of SCC/PM in subjects with BCC (OR 0.092, p = 0.001). Advanced age was a significant risk factor for an additional type of lesion in all 3 comparisons (ORs 1.088-1.388, p = 0.001). In conclusion, even though there are numerous patients with only one lesion type, advancing age may determine the final lesion multiplicity.
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Affiliation(s)
- Reetta Nevakivi
- Department of Dermatology, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland, POB 100, 70029.
| | - Hanna Siiskonen
- Department of Dermatology, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland, POB 100, 70029
| | - Salla Haimakainen
- Department of Dermatology, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland, POB 100, 70029
| | - Ilkka T Harvima
- Department of Dermatology, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland, POB 100, 70029
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Troelsen FS, Farkas DK, Erichsen R, Strate LL, Baron JA, Sørensen HT. Risk of Cancer in Patients With Diverticular Disease: A Population-Based Cohort Study. Clin Gastroenterol Hepatol 2024:S1542-3565(24)00251-9. [PMID: 38490316 DOI: 10.1016/j.cgh.2024.02.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 02/23/2024] [Accepted: 02/23/2024] [Indexed: 03/17/2024]
Abstract
BACKGROUND & AIMS Several studies have investigated the association between diverticular disease (DD) and colorectal cancer. However, whether there is an association between DD and malignancies other than those in the colorectum remains uncertain. METHODS For the 1978-2019 period, we conducted a nationwide, population-based cohort study using national Danish health care data. We followed patients with DD for up to 20 years, beginning 1 year after the date of DD diagnosis until the first occurrence of incident cancer, emigration, death, 20 years of follow-up, or December 31, 2019. We calculated cumulative incidence proportions of cancer and standardized incidence ratios (SIRs) comparing cancer incidence among patients with DD with that in the general population. RESULTS We identified 200,639 patients with DD, of whom 20,498 were diagnosed with cancer during the 1-20 years after their DD diagnosis. The SIRs were increased for most cancer sites except for those in the colorectum (SIR, 0.75; 95% confidence interval, 0.72-0.78). The highest SIRs were observed for cancers of the lung, bronchi, and trachea (SIR, 1.20; 95% confidence interval, 1.15-1.24) and kidney (SIR, 1.27; 95% confidence interval, 1.16-1.39). CONCLUSIONS Our findings show an increased long-term relative risk of cancer following a diagnosis of DD. These findings are likely caused by prevalence of numerous risk factors in patients with DD that confer an increased risk of cancer. The decreased relative risk of colorectal cancer might be explained by an increased likelihood of patients with DD undergoing colonoscopy with polypectomy.
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Affiliation(s)
| | - Dóra K Farkas
- Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus N, Denmark
| | - Rune Erichsen
- Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus N, Denmark; Department of Surgery, Randers Regional Hospital, Randers, Denmark
| | - Lisa L Strate
- Division of Gastroenterology, Department of Medicine, Harborview Medical Center, University of Washington School of Medicine, Seattle, Washington
| | - John A Baron
- Department of Medicine, University of North Carolina School of Medicine, Chapel Hill, North Carolina
| | - Henrik T Sørensen
- Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus N, Denmark; Division of Gastroenterology, Department of Medicine, Harborview Medical Center, University of Washington School of Medicine, Seattle, Washington
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Que Y, Wu R, Li H, Lu J. A prediction nomogram for perineural invasion in colorectal cancer patients: a retrospective study. BMC Surg 2024; 24:80. [PMID: 38439014 PMCID: PMC10913563 DOI: 10.1186/s12893-024-02364-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Accepted: 02/20/2024] [Indexed: 03/06/2024] Open
Abstract
BACKGROUND Perineural invasion (PNI), as the fifth recognized pathway for the spread and metastasis of colorectal cancer (CRC), has increasingly garnered widespread attention. The preoperative identification of whether colorectal cancer (CRC) patients exhibit PNI can assist clinical practitioners in enhancing preoperative decision-making, including determining the necessity of neoadjuvant therapy and the appropriateness of surgical resection. The primary objective of this study is to construct and validate a preoperative predictive model for assessing the risk of perineural invasion (PNI) in patients diagnosed with colorectal cancer (CRC). MATERIALS AND METHODS A total of 335 patients diagnosed with colorectal cancer (CRC) at a single medical center were subject to random allocation, with 221 individuals assigned to a training dataset and 114 to a validation dataset, maintaining a ratio of 2:1. Comprehensive preoperative clinical and pathological data were meticulously gathered for analysis. Initial exploration involved conducting univariate logistic regression analysis, with subsequent inclusion of variables demonstrating a significance level of p < 0.05 into the multivariate logistic regression analysis, aiming to ascertain independent predictive factors, all while maintaining a p-value threshold of less than 0.05. From the culmination of these factors, a nomogram was meticulously devised. Rigorous evaluation of this nomogram's precision and reliability encompassed Receiver Operating Characteristic (ROC) curve analysis, calibration curve assessment, and Decision Curve Analysis (DCA). The robustness and accuracy were further fortified through application of the bootstrap method, which entailed 1000 independent dataset samplings to perform discrimination and calibration procedures. RESULTS The results of multivariate logistic regression analysis unveiled independent risk factors for perineural invasion (PNI) in patients diagnosed with colorectal cancer (CRC). These factors included tumor histological differentiation (grade) (OR = 0.15, 95% CI = 0.03-0.74, p = 0.02), primary tumor location (OR = 2.49, 95% CI = 1.21-5.12, p = 0.013), gross tumor type (OR = 0.42, 95% CI = 0.22-0.81, p = 0.01), N staging in CT (OR = 3.44, 95% CI = 1.74-6.80, p < 0.001), carcinoembryonic antigen (CEA) level (OR = 3.13, 95% CI = 1.60-6.13, p = 0.001), and platelet-to-lymphocyte ratio (PLR) (OR = 2.07, 95% CI = 1.08-3.96, p = 0.028).These findings formed the basis for constructing a predictive nomogram, which exhibited an impressive area under the receiver operating characteristic (ROC) curve (AUC) of 0.772 (95% CI, 0.712-0.833). The Hosmer-Lemeshow test confirmed the model's excellent fit (p = 0.47), and the calibration curve demonstrated consistent performance. Furthermore, decision curve analysis (DCA) underscored a substantial net benefit across the risk range of 13% to 85%, reaffirming the nomogram's reliability through rigorous internal validation. CONCLUSION We have formulated a highly reliable nomogram that provides valuable assistance to clinical practitioners in preoperatively assessing the likelihood of perineural invasion (PNI) among colorectal cancer (CRC) patients. This tool holds significant potential in offering guidance for treatment strategy formulation.
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Affiliation(s)
- Yao Que
- The University of South China, Hengyang, People's Republic of China
| | - Ruiping Wu
- Department of General Surgery, The First People's Hospital of Changde City, Changde, 415003, People's Republic of China
| | - Hong Li
- Department of General Surgery, The First People's Hospital of Changde City, Changde, 415003, People's Republic of China
| | - Jinli Lu
- Department of General Surgery, The First People's Hospital of Changde City, Changde, 415003, People's Republic of China.
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Li B, Gu Z, Wang W, Du B, Wu C, Li B, Wang T, Yin G, Gao X, Chen J, Bi X, Zhang H, Sun X. The associations between peripheral inflammatory and lipid parameters, white matter hyperintensity, and cognitive function in patients with non-disabling ischemic cerebrovascular events. BMC Neurol 2024; 24:86. [PMID: 38438839 PMCID: PMC10910845 DOI: 10.1186/s12883-024-03591-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2023] [Accepted: 02/27/2024] [Indexed: 03/06/2024] Open
Abstract
BACKGROUND The global prevalence of VCI has increased steadily in recent years, but diagnostic biomarkers for VCI in patients with non-disabling ischemic cerebrovascular incidents (NICE) remain indefinite. The primary objective of this research was to investigate the relationship between peripheral serological markers, white matter damage, and cognitive function in individuals with NICE. METHODS We collected clinical data, demographic information, and medical history from 257 patients with NICE. Using the MoCA upon admission, patients were categorized into either normal cognitive function (NCF) or VCI groups. Furthermore, they were classified as having mild white matter hyperintensity (mWMH) or severe WMH based on Fazekas scores. We then compared the levels of serological markers between the cognitive function groups and the WMH groups. RESULTS Among 257 patients with NICE, 165 were male and 92 were female. Lymphocyte count (OR = 0.448, P < 0.001) and LDL-C/HDL-C (OR = 0.725, P = 0.028) were protective factors for cognitive function in patients with NICE. The sWMH group had a higher age and inflammation markers but a lower MoCA score, and lymphocyte count than the mWMH group. In the mWMH group, lymphocyte count (AUC = 0.765, P < 0.001) and LDL-C/HDL-C (AUC = 0.740, P < 0.001) had an acceptable diagnostic value for the diagnosis of VCI. In the sWMH group, no significant differences were found in serological markers between the NCF and VCI groups. CONCLUSION Lymphocyte count, LDL-C/HDL-C were independent protective factors for cognitive function in patients with NICE; they can be used as potential biological markers to distinguish VCI in patients with NICE and are applicable to subgroups of patients with mWMH.
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Affiliation(s)
- Binghan Li
- Department of Neurology, Shanghai Changhai Hospital, The Second Military Medical University, Shanghai, China
| | - Zhengsheng Gu
- Department of Neurology, Shanghai Changhai Hospital, The Second Military Medical University, Shanghai, China
| | - Weisen Wang
- Department of Neurology, Shanghai Changhai Hospital, The Second Military Medical University, Shanghai, China
| | - Bingying Du
- Department of Neurology, Shanghai Changhai Hospital, The Second Military Medical University, Shanghai, China
| | - Chenghao Wu
- Department of Neurology, Shanghai Changhai Hospital, The Second Military Medical University, Shanghai, China
| | - Bin Li
- Department of Neurology, Shanghai Changhai Hospital, The Second Military Medical University, Shanghai, China
| | - Tianren Wang
- Department of Neurology, Shanghai Changhai Hospital, The Second Military Medical University, Shanghai, China
| | - Ge Yin
- Department of Neurology, Shanghai Changhai Hospital, The Second Military Medical University, Shanghai, China
| | - Xin Gao
- Department of Neurology, Shanghai Changhai Hospital, The Second Military Medical University, Shanghai, China
| | - Jingjing Chen
- Department of Neurology, Shanghai Changhai Hospital, The Second Military Medical University, Shanghai, China
| | - Xiaoying Bi
- Department of Neurology, Shanghai Changhai Hospital, The Second Military Medical University, Shanghai, China
| | - Hailing Zhang
- Department of Neurology, Shanghai Changhai Hospital, The Second Military Medical University, Shanghai, China.
| | - Xu Sun
- Department of Neurology, Shanghai Changhai Hospital, The Second Military Medical University, Shanghai, China.
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Ma M, Luo M, Liu Q, Zhong D, Liu Y, Zhang K. Influence of abdominal fat distribution and inflammatory status on post-operative prognosis in non-small cell lung cancer patients: a retrospective cohort study. J Cancer Res Clin Oncol 2024; 150:111. [PMID: 38431748 PMCID: PMC10908607 DOI: 10.1007/s00432-024-05633-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Accepted: 01/26/2024] [Indexed: 03/05/2024]
Abstract
PURPOSE To evaluate the influence of visceral fat area (VFA), subcutaneous fat area (SFA), the systemic immune-inflammation index (SII) and total inflammation-based systemic index (AISI) on the postoperative prognosis of non-small cell lung cancers (NSCLC) patients. METHODS 266 NSCLC patients received surgery from two academic medical centers were included. To assess the effect of abdominal fat measured by computed tomography (CT) imaging and inflammatory indicators on patients' overall survival (OS) and progression-free survival (PFS), Kaplan-Meier survival analysis and Cox proportional hazards models were used. RESULTS Kaplan-Meier analysis showed the OS and PFS of patients in high-VFA group was better than low-VFA group (p < 0.05). AISI and SII were shown to be risk factors for OS and PFS (p < 0.05) after additional adjustment for BMI (Cox regression model II). After further adjustment for VFA (Cox regression model III), low-SFA group had longer OS (p < 0.05). Among the four subgroups based on VFA (high/low) and SFA (high/low) (p < 0.05), the high-VFA & low-SFA group had the longest median OS (108 months; 95% CI 74-117 months) and PFS (85 months; 95% CI 65-117 months), as well as the lowest SII and AISI (p < 0.05). Low-SFA was a protective factor for OS with different VFA stratification (p < 0.05). CONCLUSION VFA, SFA, SII and AISI may be employed as significant prognostic markers of postoperative survival in NSCLC patients. Moreover, excessive SFA levels may encourage systemic inflammation decreasing the protective impact of VFA, which may help to provide targeted nutritional support and interventions for postoperative NSCLC patients with poor prognosis.
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Affiliation(s)
- Mengtian Ma
- Department of Radiology, The First Hospital of Hunan University of Chinese Medicine, Changsha, 410007, Hunan Province, People's Republic of China
- Department of Radiology, The Third Xiangya Hospital, Central South University, Changsha, 410013, Hunan Province, People's Republic of China
| | - Muqing Luo
- Department of Radiology, The First Hospital of Hunan University of Chinese Medicine, Changsha, 410007, Hunan Province, People's Republic of China
| | - Qianyun Liu
- Department of Medical Imaging, Yueyang Central Hospital, Yueyang, 414000, Hunan Province, People's Republic of China
| | - Dong Zhong
- Department of Nuclear Medicine, XiangYa Hospital CentralSouth University, Changsha, 410005, Hunan Province, People's Republic of China
| | - Yinqi Liu
- Department of Radiology, The First Hospital of Hunan University of Chinese Medicine, Changsha, 410007, Hunan Province, People's Republic of China
| | - Kun Zhang
- Department of Radiology, The First Hospital of Hunan University of Chinese Medicine, Changsha, 410007, Hunan Province, People's Republic of China.
- College of Integrated Traditional Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha, 410208, People's Republic of China.
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Xiang Q, Liu Y, Xiao J, Ou L, Du J. Prognostic Value of Lymphocyte-to-Monocyte Ratio (LMR) in Patients With Prostate Cancer: A Systematic Review and Meta-Analysis. Am J Mens Health 2024; 18:15579883241234747. [PMID: 38514969 PMCID: PMC10958819 DOI: 10.1177/15579883241234747] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2023] [Revised: 01/29/2024] [Accepted: 02/05/2024] [Indexed: 03/23/2024] Open
Abstract
The objective of this study is to evaluate the prognostic value of lymphocyte-to-monocyte ratio (LMR) in patients with prostate cancer (PCa) by a method of meta-analysis. China National Knowledge Infrastructure (CNKI), Wanfang Data, PubMed, Web of Science, Cochrane Library, and Embase were searched to collect relevant literature until March 2023. The Newcastle-Ottawa Scale was used to assess the bias risk of the literature included. Hazard ratios (HRs) and 95% confidence intervals (CIs) were used to evaluate the prognostic value of LMR in PCa. Stata 15.0 statistical software was used for data analysis. A total of six published articles were included in this meta-analysis, containing 1,104 patients with PCa. The results of the meta-analysis indicated better overall survival (OS; HR = 1.73, 95% CI: 1.73, p = .001) and progression-free survival (PFS; HR = 2.63, 95% CI: 1.58~4.38, p < .001) in patients with PCa with low LMR compared with high LMR. In conclusion, compared with low LMR, PCa patients with high LMR have a better prognosis. LMR is an independent risk factor affecting the long-term prognosis of patients with PCa. The detection of LMR before treatment is of certain significance in judging the clinical prognosis of patients with PCa.
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Affiliation(s)
- Qin Xiang
- Department of Urology, Shenzhen Bao’an District Songgang People’s Hospital, Shenzhen, China
| | - Yueguang Liu
- Department of Urology, Shenzhen Bao’an District Songgang People’s Hospital, Shenzhen, China
| | - Junwen Xiao
- Department of Urology, Shenzhen Bao’an District Songgang People’s Hospital, Shenzhen, China
| | - Longhua Ou
- Department of Urology, Shenzhen Bao’an District Songgang People’s Hospital, Shenzhen, China
| | - Jianhui Du
- Department of Urology, People’s Hospital of Guang’an, Guang’an, China
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Grupińska J, Budzyń M, Janowski J, Brzeziński J, Gryszczyńska B, Leporowska E, Formanowicz D, Kycler W. Potential of the postoperative lymphocyte-to-monocyte and monocyte-to-red blood cell ratio in predicting locoregional and distant metastases after breast cancer resection - Retrospective study. Adv Med Sci 2024; 69:103-112. [PMID: 38394965 DOI: 10.1016/j.advms.2024.02.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 10/30/2023] [Accepted: 02/14/2024] [Indexed: 02/25/2024]
Abstract
PURPOSE Breast cancer is the most common malignancy with high recurrence and mortality rates in women. There are still insufficient biomarkers to predict disease prognosis. Therefore, the present study aimed to investigate the clinical significance of postoperative hematologic parameters and their derivatives in patients with breast cancer who underwent tumor resection. PATIENTS AND METHODS The clinicopathological and laboratory data of 90 female breast cancer patients who underwent surgical treatment in the Greater Poland Cancer Center in Poznan from December 2015 to November 2017 were retrospectively analyzed. Postoperative hematologic parameters, including neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), platelet-to-lymphocyte ratio (PLR), monocyte-to-red blood cell ratio (MRR), lymphocyte-to-red blood cell ratio (LRR), platelet-to-red blood cell ratio (PRR) were evaluated in recurrence and non-recurrence group. Receiver-operating characteristic (ROC) curve analysis was used to assess the optimal cutoff value of postoperative hematologic parameters for tumor recurrence. The association of postoperative hematologic parameters with disease-free survival (DFS) was investigated by the Kaplan-Meier method and Cox regression analysis. RESULTS Patients with local, regional, or distant metastases accounted for 14% of the total. The postoperative monocyte count and MRR were significantly elevated, whereas postoperative LMR was statistically decreased in the recurrence group. Univariate and multivariate Cox analysis revealed that postoperative LMR ≤3.044 and postoperative MRR >0.1398 were associated with significantly shorter DFS. CONCLUSION Our results revealed that both postoperative LMR and MRR are independent predictors of DFS in breast cancer patients. Large-scale prospective investigations are needed to validate our findings.
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Affiliation(s)
- Joanna Grupińska
- Chair and Department of Medical Chemistry and Laboratory Medicine, Poznan University of Medical Sciences, Poznan, Poland; Hospital Pharmacy, Greater Poland Cancer Centre, Poznan, Poland.
| | - Magdalena Budzyń
- Chair and Department of Medical Chemistry and Laboratory Medicine, Poznan University of Medical Sciences, Poznan, Poland
| | - Jakub Janowski
- Department of Oncological Surgery of Gastrointestinal Diseases, Greater Poland Cancer Centre, Poznan, Poland
| | - Jacek Brzeziński
- Department of Oncological Surgery of Gastrointestinal Diseases, Greater Poland Cancer Centre, Poznan, Poland
| | - Bogna Gryszczyńska
- Chair and Department of Medical Chemistry and Laboratory Medicine, Poznan University of Medical Sciences, Poznan, Poland
| | - Ewa Leporowska
- Department of Laboratory Diagnostics, Greater Poland Cancer Centre, Poznan, Poland
| | - Dorota Formanowicz
- Chair and Department of Medical Chemistry and Laboratory Medicine, Poznan University of Medical Sciences, Poznan, Poland
| | - Witold Kycler
- Department of Oncological Surgery of Gastrointestinal Diseases, Greater Poland Cancer Centre, Poznan, Poland
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Bi H, Ren D, Xiao Y, Zhou Y, Yi B, Han W, Shao Y, Wang J, Zhang C, Wang H. Prognostic implications of neutrophil-to-lymphocyte ratio in patients with extensive-stage small cell lung cancer receiving chemoimmunotherapy: A multicenter, real-world study. Thorac Cancer 2024; 15:559-569. [PMID: 38294282 PMCID: PMC10912525 DOI: 10.1111/1759-7714.15225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Revised: 01/07/2024] [Accepted: 01/09/2024] [Indexed: 02/01/2024] Open
Abstract
BACKGROUND Neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) are closely related to the prognosis of patients with non-small cell lung cancer, but their effect on extensive-stage small cell lung cancer (ES-SCLC) remains uncertain. METHODS This retrospective study was conducted in ES-SCLC patients treated with first-line atezolizumab or durvalumab and platinum-etoposide. Clinical data from three hospitals were analyzed. Significant risk factors for survival were identified using descriptive statistics and Cox regression. Homogeneity was assessed using t-tests or nonparametric tests. Kaplan-Meier analysis revealed an association between high NLR level and median PFS and OS. RESULTS A total of 300 ES-SCLC patients were included in the study. Cox regression analysis revealed that an elevated NLR level after the second treatment cycle (defined as NLRT2) was an independent prognostic factor for survival. Stratifying patients based on median NLRT2 showed significant differences in both PFS (HR: 1.863, 95% CI: 1.62-2.12, p < 0.001) and OS (HR: 2.581, 95% CI: 2.19-3.04, p < 0.001) between NLR ≥ 1.75 and NLR < 1.75 groups. mPFS and mOS were 8.2 versus 6.1 months and 13.7 versus 9.5 months, respectively. NLR was also associated with treatment efficacy and occurrence of irAEs. Further stratification based on NLR and irAEs showed that in the NLR < 1.75 group, patients with irAEs had prolonged mPFS and mOS. In the NLR ≥ 1.75 group, only mPFS showed a significant difference between patients with and without irAEs. CONCLUSION NLRT2 and irAEs can predict the prognosis of ES-SCLC patients with first-line ES-SCLC receiving PD-L1 inhibitors combined with chemotherapy.
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Affiliation(s)
- Huanhuan Bi
- Department of Respiratory and Critical Care Medicinethe Affiliated Hospital of Qingdao UniversityQingdaoChina
- Department of Respiratory and Critical Care MedicineThe Affiliated Qingdao Central Hospital of Medical College of Qingdao UniversityQingdaoChina
| | - Dunqiang Ren
- Department of Respiratory and Critical Care Medicinethe Affiliated Hospital of Qingdao UniversityQingdaoChina
| | - Yuting Xiao
- Department of Respiratory and Critical Care Medicinethe Affiliated Hospital of Qingdao UniversityQingdaoChina
| | - Yinxue Zhou
- Department of Respiratory and Critical Care Medicinethe Affiliated Hospital of Qingdao UniversityQingdaoChina
| | - Bingqian Yi
- Department of Respiratory and Critical Care Medicinethe Affiliated Hospital of Qingdao UniversityQingdaoChina
| | - Weizhong Han
- Department of Respiratory and Critical Care Medicinethe Affiliated Hospital of Qingdao UniversityQingdaoChina
| | - Yanmei Shao
- Department of Respiratory and Critical Care Medicinethe Affiliated Hospital of Qingdao UniversityQingdaoChina
| | - Jingluan Wang
- Department of Respiratory and Critical Care Medicinethe Affiliated Hospital of Qingdao UniversityQingdaoChina
| | - Chunling Zhang
- Department of Respiratory and Critical Care MedicineThe Affiliated Qingdao Central Hospital of Medical College of Qingdao UniversityQingdaoChina
| | - Hongmei Wang
- Department of Respiratory and Critical Care Medicinethe Affiliated Hospital of Qingdao UniversityQingdaoChina
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Nie X, Xu T, Zhang L, Cheng W. The Gustave Roussy immune score as a novel scoring system for predicting platinum resistance in advanced high-grade serous ovarian cancer. Eur J Obstet Gynecol Reprod Biol 2024; 294:97-104. [PMID: 38219610 DOI: 10.1016/j.ejogrb.2024.01.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 12/16/2023] [Accepted: 01/03/2024] [Indexed: 01/16/2024]
Abstract
OBJECTIVE This study was designed to investigate the relationship between the Gustave-Roussy immune score (GRIm-score) and platinum resistance in patients with advanced high-grade serous ovarian cancer (HGSOC). METHODS We conducted a retrospective study of patients diagnosed with advanced HGSOC between January 2017 and December 2020. A nomogram was developed to predict the risk of platinum resistance. Receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA) were used to validate the nomogram. Bootstrap analysis was utilized for internal validation. Additionally, we analyzed the risk factors for platinum resistance in patients who received neoadjuvant chemotherapy (NACT). RESULTS A total of 232 patients with advanced HGSOC were included, 52 (22.4 %) of whom experienced relapse with platinum resistance. Multivariate logistic regression analysis revealed that high GRIm-score (OR = 4.174, P < 0.001), NACT (OR = 2.706, P = 0.017), PLT > 260 (OR = 2.233, P = 0.037) and non-R0 (OR = 2.526, P = 0.012) were independent risk factors for platinum resistance. The area under the curve (AUC) of the model was 0.802 (95 % CI 0.736-0.868), and the internally validated AUC of 1000 bootstrap samples was 0.798 (95 % CI 0.725-0.862). In NACT-treated patients, univariate and multivariate logistic regression analyses revealed that a low KELIM score (OR = 10.405, P = 0.001) and PLT > 260 (OR = 4.611, P = 0.014) were independent risk factors for platinum resistance. CONCLUSION The GRIm-score and PLT count are important prognostic factors in patients with HGSOC. For precision treatment, the status of partially platinum-sensitive patients should also be considered.
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Affiliation(s)
- Xianglin Nie
- Department of Gynecology, The First Affiliated Hospital of Nanjing Medical University, No. 300 Guangzhou Road, Nanjing, Jiangsu 210029, China
| | - Ting Xu
- Department of Gynecology, The First Affiliated Hospital of Nanjing Medical University, No. 300 Guangzhou Road, Nanjing, Jiangsu 210029, China
| | - Lin Zhang
- Department of Gynecology, The First Affiliated Hospital of Nanjing Medical University, No. 300 Guangzhou Road, Nanjing, Jiangsu 210029, China
| | - Wenjun Cheng
- Department of Gynecology, The First Affiliated Hospital of Nanjing Medical University, No. 300 Guangzhou Road, Nanjing, Jiangsu 210029, China.
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Akdag G, Alan Ö, Dogan A, Yildirim S, Kinikoglu O, Batu A, Kudu E, Geçmen GG, Isik D, Sever ON, Odabas H, Yildirim ME, Turan N. Prognostic scores in pulmonary large cell neuroendocrine carcinoma: A retrospective cohort study. Heliyon 2024; 10:e25029. [PMID: 38317875 PMCID: PMC10839983 DOI: 10.1016/j.heliyon.2024.e25029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2023] [Revised: 01/16/2024] [Accepted: 01/18/2024] [Indexed: 02/07/2024] Open
Abstract
Introduction Pulmonary large cell neuroendocrine carcinoma (PLCNEC) is a rare but aggressive subtype of lung cancer with an incidence of approximately 3 %. Identifying effective prognostic indicators is crucial for guiding treatments. This study examined the relationship between inflammatory markers and PLCNEC patient overall survival (OS) and sought to determine their prognostic significance in PLCNEC. Methods Patients diagnosed with PLCNEC between 2007 and 2022 at the oncology center, were retrospectively included. Patients who underwent surgery were pathologically re-staged post-surgery. Potential prognostic parameters (neutrophil/lymphocyte ratio, platelet/lymphocyte ratio [PLR], panimmune inflammatory value, prognostic nutritional index and modified Glasgow prognostic score [mGPS]) were calculated at that time of diagnosis. Results Sixty patients were included. The median follow-up was 23 months. Thirty-eight patients initially diagnosed with early or locally advanced. The mGPS was identified as a poor prognostic factor that influenced disease free survival (DFS) fourfold (p = 0.03). All patients' median OS was 45 months. Evaluating factors affecting OS in all patients, statistically significant relationships were observed between OS and the prognostic nutritional index (p = 0.001), neutrophil/lymphocyte ratio (p = 0.03), platelet/lymphocyte ratio (p = 0.002), and pan-immunoinflammatory value (p = 0.005). Upon multivariate analysis, the platelet/lymphocyte ratio was identified as an independent poor prognostic factor for OS, increasing the mortality risk by 5.4 times (p = 0.002). Conclusion mGPS was significantly linked with prognosis in non-metastatic PLCNEC, with patients with higher mGPS exhibiting poorer long-term DFS. This finding contributes to the evolving understanding of PLCNEC. The multivariable predictive model we employed suggests that PLR is an independent predictor of OS at all stages. A lower PLR was correlated with worse overall survival. Thus, PLR can be a readily accessible and cost-effective prognostic factor in PLCNEC patients.
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Affiliation(s)
- Goncagul Akdag
- Department of Medical Oncology, Kartal Dr. Lütfi Kirdar City Hospital, Health Science University, Istanbul, Turkey
| | - Özkan Alan
- Division of Medical Oncology, School of Medicine, Koç University, Istanbul, Turkey
| | - Akif Dogan
- Department of Medical Oncology, Kartal Dr. Lütfi Kirdar City Hospital, Health Science University, Istanbul, Turkey
| | - Sedat Yildirim
- Department of Medical Oncology, Kartal Dr. Lütfi Kirdar City Hospital, Health Science University, Istanbul, Turkey
| | - Oguzcan Kinikoglu
- Department of Medical Oncology, Kartal Dr. Lütfi Kirdar City Hospital, Health Science University, Istanbul, Turkey
| | - Aziz Batu
- Division of Medical Oncology, Department of Internal Medicine, Ümraniye Research and Training Hospital, Istanbul, Turkey
| | - Emre Kudu
- Department of Emergency Medicine, Marmara University Pendik Training and Research Hospital, Istanbul, Turkey
| | - Gonca Gül Geçmen
- Department of Pathology, Kartal Dr. Lütfi Kirdar City Hospital, Health Science University, Istanbul, Turkey
| | - Deniz Isik
- Department of Medical Oncology, Kartal Dr. Lütfi Kirdar City Hospital, Health Science University, Istanbul, Turkey
| | - Ozlem Nuray Sever
- Department of Medical Oncology, Kartal Dr. Lütfi Kirdar City Hospital, Health Science University, Istanbul, Turkey
| | - Hatice Odabas
- Department of Medical Oncology, Kartal Dr. Lütfi Kirdar City Hospital, Health Science University, Istanbul, Turkey
| | - Mahmut Emre Yildirim
- Department of Medical Oncology, Kartal Dr. Lütfi Kirdar City Hospital, Health Science University, Istanbul, Turkey
| | - Nedim Turan
- Department of Medical Oncology, Kartal Dr. Lütfi Kirdar City Hospital, Health Science University, Istanbul, Turkey
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Zhang Y, Song M, Yang Z, Huang X, Lin Y, Yang H. Healthy lifestyles, systemic inflammation and breast cancer risk: a mediation analysis. BMC Cancer 2024; 24:208. [PMID: 38360584 PMCID: PMC10868083 DOI: 10.1186/s12885-024-11931-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2023] [Accepted: 01/29/2024] [Indexed: 02/17/2024] Open
Abstract
BACKGROUND Despite the known association between healthy lifestyles and reduced risk of breast cancer, it remains unclear whether systemic inflammation, as a consequence of unhealthy lifestyles, may mediate the association. METHODS A cohort study of 259,435 female participants in the UK Biobank was conducted to estimate hazard ratio (HR) for breast cancer according to 9 inflammation markers using Cox regression models. We further estimated the percentage of total association between healthy lifestyle index (HLI) and breast cancer that is mediated by these inflammation markers. RESULTS During 2,738,705 person-years of follow-up, 8,889 cases of breast cancer were diagnosed among 259,435 women in the UK Biobank cohort. Higher level of C-reactive protein (CRP), systemic immune-inflammation index (SII), CRP-to-albumin Ratio (CAR), CRP-to-lymphocyte Ratio (CLR), monocyte-to-HDL-c ratio (MHR), and neutrophil-to-HDL-c ratio (NHR) were associated with increased breast cancer risk, while a higher lymphocyte-to-monocyte ratio (LMR) was associated with a lower risk. The inverse association between HLI and breast cancer was weakly mediated by CRP (8.5%), SII (1.71%), CAR (8.66%), CLR (6.91%), MHR (6.27%), and NHR (7.33%). When considering individual lifestyle factors, CRP and CAR each mediated 16.58% and 17.20%, respectively, of the associations between diet score and breast cancer risk, while the proportion mediated for physical activity and breast cancer were 12.13% and 11.48%, respectively. Furthermore, MHR was found to mediate 13.84% and 12.01% of the associations between BMI, waist circumference, and breast cancer. CONCLUSION The association of HLI and breast cancer is weakly mediated by the level of inflammation, particularly by CRP and CAR. Systemic inflammatory status may be an intermediate in the biological pathway of breast cancer development.
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Affiliation(s)
- Yanyu Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Xue Yuan Road 1, University Town, 350122, Fuzhou, China
| | - Mengjie Song
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Xue Yuan Road 1, University Town, 350122, Fuzhou, China
| | - Zixuan Yang
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Xue Yuan Road 1, University Town, 350122, Fuzhou, China
| | - Xiaoxi Huang
- Department of Breast, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics and Gynecology and Pediatrics, Fujian Medical University, Fuzhou, 350001, China
| | - Yuxiang Lin
- Department of Breast Surgery, Fujian Medical University Union Hospital, Fuzhou, 350001, China.
- Department of General Surgery, Fujian Medical University Union Hospital, Fuzhou, 350001, China.
- Breast Cancer Institute, Fujian Medical University, Fuzhou, 350001, China.
| | - Haomin Yang
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Xue Yuan Road 1, University Town, 350122, Fuzhou, China.
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, 17177, Sweden.
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Perrone C, Bozzano F, Dal Bello MG, Del Zotto G, Antonini F, Munari E, Maggi E, Moretta F, Farshchi AH, Pariscenti G, Tagliamento M, Genova C, Moretta L, De Maria A. CD34 +DNAM-1 brightCXCR4 + haemopoietic precursors circulate after chemotherapy, seed lung tissue and generate functional innate-like T cells and NK cells. Front Immunol 2024; 15:1332781. [PMID: 38390333 PMCID: PMC10881815 DOI: 10.3389/fimmu.2024.1332781] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Accepted: 01/17/2024] [Indexed: 02/24/2024] Open
Abstract
Background There is little information on the trajectory and developmental fate of Lin-CD34+DNAM-1bright CXCR4+ progenitors exiting bone marrow during systemic inflammation. Objective To study Lin-CD34+DNAM-1bright CXCR4+ cell circulation in cancer patients, to characterize their entry into involved lung tissue and to characterize their progenies. Methods Flow cytometric analysis of PBMC from 18 patients with lung cancer on samples collected immediately before the first and the second treatment was performed to study Lin-CD34+DNAM-1bright CXCR4+ precursors. Precursors were purified (>99%) and cultured in vitro from all patients. Paired PBMC and tissue samples from patients undergoing tumor resection were analyzed by flow cytometry to assess tissue entry and compare phenotype and developmental potential of Lin-CD34+DNAM-1bright CXCR4+ cells in both compartments. Results Significant circulation of Lin-CD34+DNAM-1bright CXCR4+ precursors was observed 20d after the first treatment. Precursors express CXC3CR1, CXCR3, CXCR1 consistent with travel towards inflamed tissues. Flowcytometric analysis of lung tissue samples showed precursor presence in all patients in tumor and neighboring uninvolved areas. Successful purification and in vitro culture from both blood and lung tissue generates a minor proportion of maturing NK cells (<10%) and a predominant proportion (>85%) of α/β T-progenies with innate-like phenotype expressing NKG2D,NKp30,DNAM-1. Innate-like maturing T-cells in vitro are cytotoxic, can be triggered via NKR/TCR co-stimulation and display broad spectrum Th1,Th2 and Th1/Th17 cytokine production. Conclusion In advanced stage lung cancer CD34+DNAM-1brightCXCR4+ inflammatory precursors increase upon treatment, enter involved tissues, generate functional progenies and may thus represent an additional player contributing to immune balance in the highly SDF-1/CXCR4-biased pro-metastatic tumor microenvironment.
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Affiliation(s)
- Carola Perrone
- Experimental Immunology Unit, IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - Federica Bozzano
- Laboratorio Diagnostico di Autoimmunologia, IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | | | - Genny Del Zotto
- Integrated Department of Services and Laboratories, IRCCS Istituto Giannina Gaslini, Genova, Italy
| | - Francesca Antonini
- Integrated Department of Services and Laboratories, IRCCS Istituto Giannina Gaslini, Genova, Italy
| | - Enrico Munari
- Pathology Unit, Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
| | - Enrico Maggi
- Tumor Immunology Unit, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Francesca Moretta
- Department of Laboratory Medicine, Istituto di Ricovero e Cura a Carattere Scientifico Sacro Cuore Don Calabria Hospital, Negrar, Verona, Italy
| | | | - Gianluca Pariscenti
- Thoracic Surgery Unit, IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - Marco Tagliamento
- Lung Cancer Unit, IRCCS Ospedale Policlinico San Martino, Genova, Italy
- Department of Internal Medicine and Medical Specialties (DiMI), University of Genova, Genova, Italy
| | - Carlo Genova
- Lung Cancer Unit, IRCCS Ospedale Policlinico San Martino, Genova, Italy
- Department of Internal Medicine and Medical Specialties (DiMI), University of Genova, Genova, Italy
| | - Lorenzo Moretta
- Tumor Immunology Unit, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Andrea De Maria
- Department of Health Sciences, University of Genova, Genova, Italy
- Infections of Immunocompromised Hosts Unit, Division of Infectious Diseases, IRCCS Ospedale Policlinico San Martino, Genova, Italy
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Yuguang L, Chang Y, Li H, Li F, Zou Q, Liu X, Chen X, Cui J. Inflammation mediates the relationship between diet quality assessed by healthy eating index-2015 and metabolic syndrome. Front Endocrinol (Lausanne) 2024; 15:1293850. [PMID: 38379861 PMCID: PMC10877714 DOI: 10.3389/fendo.2024.1293850] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Accepted: 01/16/2024] [Indexed: 02/22/2024] Open
Abstract
Background Metabolic syndrome is a cluster of metabolic disorders, including obesity, hypertension, hyperglycemia, and abnormal lipid levels. However, researches on the association between overall dietary quality measured by the Healthy Eating Index-2015 (HEI-2015) and the risk of metabolic syndrome is still lacking. Methods This study utilized data from four cycles (2011-2018) of the National Health and Nutrition Examination Survey (NHANES) database, including 17,582 participants. Logistic regression analysis was employed to explore the correlation between HEI and the risk of metabolic syndrome. Additionally, mediation analysis was conducted to examine the effects of Systemic Immune-Inflammation Index (SII) and serum uric acid as potential mediators between HEI and metabolic syndrome risk. Weighted quantile sum (WQS) regression evaluated the composite exposure impact of the 13 components of the HEI on metabolic syndrome, as well as the proportion of their weights. Results Higher dietary quality measured by HEI-2015 (at the 75th percentile) was negatively correlated with the risk of metabolic syndrome (OR=0.80, 95%CI=0.72-0.89, P=0.003). Higher SII and serum uric acid levels were identified as risk factors for metabolic syndrome (P for trend<0.001). Approximately 37.5% of the effect of HEI on metabolic syndrome occurrence was mediated by SII (Indirect effect=-0.002, 95%CI (-0.003,-0.001), Direct effect=-0.022, 95%CI (-0.0273,-0.015)). Additionally, 25% of the effect of HEI on metabolic syndrome occurrence was mediated by serum uric acid levels (Indirect effect=-0.006, 95%CI (-0.010,-0.012), Direct effect=-0.024, 95%CI (-0.041,-0.009)). WQS regression analysis revealed the highest weighted proportions for seafood and plant proteins (25.20%) and sodium (17.79%), while the weight for whole fruit was the lowest (0.25%). Conclusion Better dietary quality measured by HEI-2015 was associated with a lower likelihood of metabolic syndrome. Higher SII and serum uric acid levels were identified as risk factors for metabolic syndrome and potential mediators.
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Affiliation(s)
- Li Yuguang
- Cancer Center, The First Hospital of Jilin University, Changchun, China
| | - Yu Chang
- Department of Anesthesiology, The First Hospital of Jilin University, Changchun, China
| | - Hongwei Li
- Cancer Center, The First Hospital of Jilin University, Changchun, China
| | - Fangqi Li
- Cancer Center, The First Hospital of Jilin University, Changchun, China
| | - Qing Zou
- Department of Anesthesiology, The First Hospital of Jilin University, Changchun, China
| | - Xiangliang Liu
- Cancer Center, The First Hospital of Jilin University, Changchun, China
| | - Xiao Chen
- Cancer Center, The First Hospital of Jilin University, Changchun, China
| | - Jiuwei Cui
- Cancer Center, The First Hospital of Jilin University, Changchun, China
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Najjary S, Kros JM, Stricker BH, Ruiter R, Shuai Y, Kraaij R, Van Steen K, van der Spek P, Van Eijck CHJ, Ikram MA, Ahmad S. Association of blood cell-based inflammatory markers with gut microbiota and cancer incidence in the Rotterdam study. Cancer Med 2024; 13:e6860. [PMID: 38366800 PMCID: PMC10904974 DOI: 10.1002/cam4.6860] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 11/29/2023] [Accepted: 12/12/2023] [Indexed: 02/18/2024] Open
Abstract
The immune response-gut microbiota interaction is implicated in various human diseases, including cancer. Identifying the link between the gut microbiota and systemic inflammatory markers and their association with cancer will be important for our understanding of cancer etiology. The current study was performed on 8090 participants from the population-based Rotterdam study. We found a significant association (false discovery rate [FDR] ≤0.05) between lymphocytes and three gut microbial taxa, namely the family Streptococcaceae, genus Streptococcus, and order Lactobacillales. In addition, we identified 95 gut microbial taxa that were associated with inflammatory markers (p < 0.05). Analyzing the cancer data, we observed a significant association between higher systemic immune-inflammation index (SII) levels at baseline (hazard ratio (HR): 1.65 [95% confidence interval (CI); 1.10-2.46, p ≤ 0.05]) and a higher count of lymphocytes (HR: 1.38 [95% CI: 1.15-1.65, p ≤ 0.05]) and granulocytes (HR: 1.69 [95% CI: 1.40-2.03, p ≤ 0.05]) with increased risk of lung cancer after adjusting for age, sex, body mass index (BMI), and study cohort. This association was lost for SII and lymphocytes after additional adjustment for smoking (SII = HR:1.46 [95% CI: 0.96-2.22, p = 0.07] and lymphocytes = HR: 1.19 [95% CI: 0.97-1.46, p = 0.08]). In the stratified analysis, higher count of lymphocyte and granulocytes at baseline were associated with an increased risk of lung cancer in smokers after adjusting for age, sex, BMI, and study cohort (HR: 1.33 [95% CI: 1.09-1.62, p ≤0.05] and HR: 1.57 [95% CI: 1.28-1.92, p ≤0.05], respectively). Our study revealed a positive association between gut microbiota, higher SII levels, and higher lymphocyte and granulocyte counts, with an increased risk of developing lung cancer.
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Affiliation(s)
- Shiva Najjary
- Department of Pathology and Clinical Bioinformatics, The Tumor Immuno‐Pathology LaboratoryErasmus University Medical CenterRotterdamthe Netherlands
| | - Johan M. Kros
- Department of Pathology and Clinical Bioinformatics, The Tumor Immuno‐Pathology LaboratoryErasmus University Medical CenterRotterdamthe Netherlands
| | - Bruno H. Stricker
- Department of EpidemiologyErasmus University Medical CenterRotterdamthe Netherlands
| | - Rikje Ruiter
- Department of EpidemiologyErasmus University Medical CenterRotterdamthe Netherlands
| | - Yu Shuai
- Department of EpidemiologyErasmus University Medical CenterRotterdamthe Netherlands
| | - Robert Kraaij
- Department of Internal MedicineErasmus University Medical CenterRotterdamthe Netherlands
| | - Kristel Van Steen
- Department of Human Genetics, Laboratory for Systems MedicineCenter for Human Genetics, KU LeuvenLeuvenBelgium
| | - Peter van der Spek
- Department of Pathology and Clinical Bioinformatics, The Tumor Immuno‐Pathology LaboratoryErasmus University Medical CenterRotterdamthe Netherlands
| | | | - M. Arfan Ikram
- Department of EpidemiologyErasmus University Medical CenterRotterdamthe Netherlands
| | - Shahzad Ahmad
- Department of EpidemiologyErasmus University Medical CenterRotterdamthe Netherlands
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Wei B, Zhang Y, Shi K, Jin X, Qian K, Zhang P, Zhao T. Predictive value of systemic immune-inflammation index in the high-grade subtypes components of small-sized lung adenocarcinoma. J Cardiothorac Surg 2024; 19:39. [PMID: 38303053 PMCID: PMC10832140 DOI: 10.1186/s13019-024-02528-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Accepted: 01/28/2024] [Indexed: 02/03/2024] Open
Abstract
BACKGROUND Identification of micropapillary and solid subtypes components in small-sized (≤ 2 cm) lung adenocarcinoma plays a crucial role in determining optimal surgical procedures. This study aims to propose a straightforward prediction method utilizing preoperative available indicators. METHODS From January 2019 to July 2022, 341 consecutive patients with small-sized lung adenocarcinoma who underwent curative resection in thoracic surgery department of Xuanwu Hospital, Capital Medical University were retrospectively analyzed. The patients were divided into two groups based on whether solid or micropapillary components ≥ 5% or not (S/MP5+ and S/MP5-). Univariate analysis and multivariate logistic regression analysis were utilized to identify independent predictors of S/MP5+. Then a nomogram was constructed to intuitively show the results. Finally, the calibration curve with a 1000 bootstrap resampling and the receiver operating characteristic (ROC) curve were depicted to evaluate its performance. RESULTS According to postoperative pathological results, 79 (23.2%) patients were confirmed as S/MP5+ while 262 (76.8%) patients were S/MP5-. Based on multivariate analysis, maximum diameter (p = 0.010), consolidation tumor ratio (CTR) (p < 0.001) and systemic immune-inflammation index (SII) (p < 0.001) were identified as three independent risk factors and incorporated into the nomogram. The calibration curve showed good concordance between the predicted and actual probability of S/MP5+. Besides, the model showed certain discrimination, with an area under ROC curve of 0.893. CONCLUSIONS The model constructed based on SII is a practical tool to predict high-grade subtypes components of small-sized lung adenocarcinoma preoperatively and contribute to determine the optimal surgical approach.
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Affiliation(s)
- BoHua Wei
- Department of Thoracic Surgery, Xuanwu Hospital, Capital Medical University, No. 45 Changchun Street, Beijing, China
| | - Yi Zhang
- Department of Thoracic Surgery, Xuanwu Hospital, Capital Medical University, No. 45 Changchun Street, Beijing, China.
| | - Kejian Shi
- Department of Thoracic Surgery, Xuanwu Hospital, Capital Medical University, No. 45 Changchun Street, Beijing, China
| | - Xin Jin
- Laboratory of Respiratory Disease and Thoracic Surgery, KU Leuven, 3000, Leuven, Belgium
| | - Kun Qian
- Department of Thoracic Surgery, Xuanwu Hospital, Capital Medical University, No. 45 Changchun Street, Beijing, China
| | - Peilong Zhang
- Department of Thoracic Surgery, Xuanwu Hospital, Capital Medical University, No. 45 Changchun Street, Beijing, China
| | - Teng Zhao
- Department of Thoracic Surgery, Xuanwu Hospital, Capital Medical University, No. 45 Changchun Street, Beijing, China
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Li J, Yan K, Zhu P, Xu J, Tang X, Li Y, Yang W, Qiao S, Yang Y, Gao R, Yuan J, Zhao X. Association between multiple inflammatory biomarkers and remnant cholesterol levels in patients with percutaneous coronary intervention: A large-scale real-world study. Nutr Metab Cardiovasc Dis 2024; 34:377-386. [PMID: 37949712 DOI: 10.1016/j.numecd.2023.09.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 09/02/2023] [Accepted: 09/05/2023] [Indexed: 11/12/2023]
Abstract
BACKGROUND AND AIM Remnant cholesterol (RC) has garnered increasing attention recently due to its association with adverse cardiovascular events. However, the relationship between RC levels and inflammation remains unclear. The goal of this study was to investigate and compare the predictive value of multiple inflammatory biomarkers for high RC in patients with percutaneous coronary intervention (PCI). METHODS AND RESULTS Initially, a total of 10,724 consecutive individuals hospitalized for PCI at Fu Wai Hospital in 2013 were enrolled. Finally, 9983 patients receiving dual antiplatelet therapy and drug-eluting stent were selected for analysis. The inflammatory biomarkers included high-sensitivity C-reactive protein (hs-CRP), hs-CRP-to-albumin ratio (CAR), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), lymphocyte-to-hs-CRP ratio (LCR), and systemic immune-inflammation index (SII). Patients were divided into higher RC and lower RC groups based on the median RC level. Multivariate logistic regression showed that hs-CRP (OR per SD: 1.254), CAR (OR per SD: 1.245), PLR (OR per SD: 1.139), and SII (OR per SD: 1.077) were associated with high RC (≥median), while LCR (OR per SD: 0.792) was associated with low RC ( CONCLUSIONS In PCI patients, hs-CRP, CAR, PLR, LCR, and SII were independently associated with RC levels. Among these inflammatory biomarkers, hs-CRP conferred better prediction for high RC. This investigation further supports the close relationship between inflammation and residual lipid risk biomarker RC.
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Affiliation(s)
- Jiawen Li
- Department of Cardiology, National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Road, Xicheng District, Beijing 100037, China
| | - Kailun Yan
- Department of Cardiology, National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Road, Xicheng District, Beijing 100037, China
| | - Pei Zhu
- Department of Cardiology, National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Road, Xicheng District, Beijing 100037, China
| | - Jingjing Xu
- Department of Cardiology, National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Road, Xicheng District, Beijing 100037, China
| | - Xiaofang Tang
- Department of Cardiology, National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Road, Xicheng District, Beijing 100037, China
| | - Yulong Li
- Department of Cardiology, National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Road, Xicheng District, Beijing 100037, China
| | - Weixian Yang
- Department of Cardiology, National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Road, Xicheng District, Beijing 100037, China
| | - Shubin Qiao
- Department of Cardiology, National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Road, Xicheng District, Beijing 100037, China
| | - Yuejin Yang
- Department of Cardiology, National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Road, Xicheng District, Beijing 100037, China
| | - Runlin Gao
- Department of Cardiology, National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Road, Xicheng District, Beijing 100037, China
| | - Jinqing Yuan
- Department of Cardiology, National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Road, Xicheng District, Beijing 100037, China.
| | - Xueyan Zhao
- Department of Cardiology, National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fu Wai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Beilishi Road, Xicheng District, Beijing 100037, China.
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Yang J, Ran T, Lin X, Xu J, Zhou S, Chen C, Huang P. Association between preoperative systemic immune inflammation index and postoperative sepsis in patients with intestinal obstruction: A retrospective observational cohort study. Immun Inflamm Dis 2024; 12:e1187. [PMID: 38353388 PMCID: PMC10865413 DOI: 10.1002/iid3.1187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 01/22/2024] [Accepted: 01/23/2024] [Indexed: 02/16/2024] Open
Abstract
BACKGROUND Sepsis is a severe complication that results in increased morbidity and mortality after intestinal obstruction surgery. This study examined the role of preoperative systemic immune inflammation index (SII) for postoperative sepsis in intestinal obstruction patients. METHODS Data on patients who underwent intestinal obstruction surgery were collected. SII was determined and separated into two groups (≤1792.19 and >1792.19) according to the optimal cut-off value of SII for postoperative sepsis. The odds ratio (OR) is calculated for the correlation between SII and postoperative sepsis. Additional analyses were used to estimate the robustness of SII. RESULTS A total of 371 intestinal obstruction patients undergoing surgery were included in the final cohort, and 60 (16.17%) patients developed postoperative sepsis. Patients with an SII >1792.19 had a significantly higher risk for developing postoperative sepsis after multivariable adjustment [adjusted odds ratio = 2.12, 95% confidence interval: [1.02-4.40]]. The analysis of interaction showed no correlation between the preoperative SII and postoperative sepsis regarding age, hypertension, American Society of Anesthesiologists classification, blood loss, albumin, hemoglobin, creatinine, and leukocyte (all interactions p > .05). In subgroup analysis, all statistically significant subgroups showed that SII was a risk factor for postoperative sepsis (all p < .05). The analyses of subgroups and interactions revealed that the interaction effect of a preoperative SII >1792.19 and postoperative sepsis remained significant. A sensitivity analysis confirmed the robustness of the results. CONCLUSIONS A preoperative SII > 1792.19 was a risk factor for postoperative sepsis in patients undergoing intestinal obstruction surgery.
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Affiliation(s)
- Jirong Yang
- Department of AnesthesiologyThe Third Affiliated Hospital of Sun Yat‐sen UniversityGuangzhouPeople's Republic of China
| | - Taojia Ran
- Department of AnesthesiologyThe Third Affiliated Hospital of Sun Yat‐sen UniversityGuangzhouPeople's Republic of China
| | - Xiaoyu Lin
- Department of AnesthesiologyThe Third Affiliated Hospital of Sun Yat‐sen UniversityGuangzhouPeople's Republic of China
| | - Jinyan Xu
- Department of AnesthesiologyThe Third Affiliated Hospital of Sun Yat‐sen UniversityGuangzhouPeople's Republic of China
| | - Shaoli Zhou
- Department of AnesthesiologyThe Third Affiliated Hospital of Sun Yat‐sen UniversityGuangzhouPeople's Republic of China
| | - Chaojin Chen
- Department of AnesthesiologyThe Third Affiliated Hospital of Sun Yat‐sen UniversityGuangzhouPeople's Republic of China
| | - Pinjie Huang
- Department of AnesthesiologyThe Third Affiliated Hospital of Sun Yat‐sen UniversityGuangzhouPeople's Republic of China
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50
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Bai P, Ning X, Gao R, Shao X, Zhou S, Li J, Lin Y, Liu H, Zhang M, Yu P. Association between circadian physical activity patterns and cancer incidence through regulation of inflammation: A UK biobank study. Prev Med 2024; 179:107831. [PMID: 38145876 DOI: 10.1016/j.ypmed.2023.107831] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2023] [Revised: 12/19/2023] [Accepted: 12/20/2023] [Indexed: 12/27/2023]
Abstract
BACKGROUND Physical activity (PA) has been linked with cancer incidence. However, the effects and mechanisms underpinning circadian PA trajectories on cancer remain elusive. This study aimed to explore the optimal PA patterns in reducing cancer incidence and the associated potential mediators. METHODS Between 2006 and 2010, 502,400 participants were recruited from the UK Biobank. Out of these, 102,323 participants wore accelerometers, which allowed for collecting acceleration data continuously over 7 days. After excluding participants with previous cancer history, 96,687 participants were included in K-means cluster analysis to identify PA trajectories. The association between PA and cancer incidence was assessed using Cox regression analysis. Additionally, we investigated the mediating role of inflammation. RESULTS A total of 5995 cancer cases were recorded during a median follow-up of 7.1 years. Four distinct PA trajectories (persistent low, single peak, double peak, and vigorous) were identified. The ideal PA patterns reduced the risk of 7 out of 17 site-specific cancers, with the lowest hazard ratios and 95% confidence intervals of cancer for bladder (0.59, 0.40-0.86), breast (0.73, 0.60-0.89), kidney (0.45, 0.26-0.78), lung (0.59, 0.41-0.84), myeloma (0.49, 0.27-0.88), and oral & pharynx (0.51, 0.26-0.98) in the vigorous pattern and for colorectal (0.71, 0.54-0.93) in the double peak pattern. Moreover, the mediating effects of inflammation were significant. CONCLUSION Optimal PA trajectories reduced cancer incidence, especially in double peak and vigorous patterns. The protective effect was associated with both intensity and circadian rhythm. Crucially, this protection was mediated by inflammation regulation.
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Affiliation(s)
- Pufei Bai
- NHC Key Laboratory of Hormones and Development, Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin 300134, China; Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University, Tianjin 300134, China
| | - Xiaoqun Ning
- Special Medical Service Center, Zhujiang Hospital, Southern Medical University, No. 253, Middle Industrial Avenue, Haizhu District, Guangzhou, Guangdong, China
| | - Rui Gao
- NHC Key Laboratory of Hormones and Development, Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin 300134, China; Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University, Tianjin 300134, China
| | - Xian Shao
- NHC Key Laboratory of Hormones and Development, Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin 300134, China; Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University, Tianjin 300134, China
| | - Saijun Zhou
- NHC Key Laboratory of Hormones and Development, Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin 300134, China; Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University, Tianjin 300134, China
| | - Jing Li
- NHC Key Laboratory of Hormones and Development, Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin 300134, China; Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University, Tianjin 300134, China
| | - Yao Lin
- NHC Key Laboratory of Hormones and Development, Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin 300134, China; Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University, Tianjin 300134, China
| | - Hongyan Liu
- NHC Key Laboratory of Hormones and Development, Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin 300134, China; Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University, Tianjin 300134, China
| | - Mianzhi Zhang
- Dongfang Hospital of Beijing University of Chinese Medicine, Beijing 100078, People's Republic of China; Tianjin Academy of Traditional Chinese Medicine, Tianjin 300120, People's Republic of China.
| | - Pei Yu
- NHC Key Laboratory of Hormones and Development, Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin 300134, China; Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University, Tianjin 300134, China.
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