Xin Wang, Hong Zhao, Lu Liang, Ying Gao, Lei Song, Hanping Shi
{"title":"Prognostic Value of Handgrip Strength in Lung Cancer: Findings From a Multicenter Prospective Cohort Study.","authors":"Xin Wang, Hong Zhao, Lu Liang, Ying Gao, Lei Song, Hanping Shi","doi":"10.1177/10732748251375518","DOIUrl":null,"url":null,"abstract":"<p><p>BackgroundHandgrip strength (HGS), a simple and practical indicator of skeletal muscle function, has emerged as a potential prognostic marker, yet its predictive value in lung cancer remains to be fully elucidated. This study aimed to evaluate the prognostic significance of HGS for Overall Survival (OS) in patients with lung cancer, and to develop a prognostic model integrating HGS and hematologic parameters.MethodsThis prospective cohort study was based on the Investigation on Nutrition Status and its Clinical Outcome of Common Cancers (INSCOC). A total of 3604 pathologically confirmed lung cancer patients were included. Demographic, clinical, and nutrition-related data were collected. The association between HGS and OS was assessed using Cox proportional hazards models. A nomogram was developed, and its predictive performance was evaluated using receiver operating characteristic (ROC) curves and the concordance index (C-index).ResultsHGS was significantly associated with OS in patients with lung cancer. Compared with the lowest quartile (Q1), patients in Q2, Q3, and Q4 showed 23.9% (HR = 0.761, 95% CI: 0.666-0.869, <i>P</i> < 0.001), 21.3% (HR = 0.787, 95%CI: 0.684-0.907, <i>P</i> = 0.001), and 41.1% (HR = 0.589, 95% CI: 0.506-0.686, <i>P</i> < 0.001) reductions in mortality risk, respectively. In multivariate analysis, sex, HGS, and hemoglobin were identified as independent protective factors, while elevated serum glucose and platelet count were independent risk factors for poor prognosis. The nomogram model constructed based on these variables yielded area under the curve (AUC) values of 64.2%, 61.3%, and 59.8% for predicting 1-, 2-, and 3-year OS, respectively, with a C-index of 0.607 (95% CI: 0.593-0.621), outperforming HGS alone (C-index = 0.541) or any single hematological parameter.ConclusionsHGS is an independent predictor of survival in lung cancer. Combining HGS with hematologic indicators enhances prognostic accuracy. The developed nomogram may serve as a practical tool for individualized prognostication and nutrition-based interventions.</p>","PeriodicalId":49093,"journal":{"name":"Cancer Control","volume":"32 ","pages":"10732748251375518"},"PeriodicalIF":2.6000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12446834/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cancer Control","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1177/10732748251375518","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/9/18 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
BackgroundHandgrip strength (HGS), a simple and practical indicator of skeletal muscle function, has emerged as a potential prognostic marker, yet its predictive value in lung cancer remains to be fully elucidated. This study aimed to evaluate the prognostic significance of HGS for Overall Survival (OS) in patients with lung cancer, and to develop a prognostic model integrating HGS and hematologic parameters.MethodsThis prospective cohort study was based on the Investigation on Nutrition Status and its Clinical Outcome of Common Cancers (INSCOC). A total of 3604 pathologically confirmed lung cancer patients were included. Demographic, clinical, and nutrition-related data were collected. The association between HGS and OS was assessed using Cox proportional hazards models. A nomogram was developed, and its predictive performance was evaluated using receiver operating characteristic (ROC) curves and the concordance index (C-index).ResultsHGS was significantly associated with OS in patients with lung cancer. Compared with the lowest quartile (Q1), patients in Q2, Q3, and Q4 showed 23.9% (HR = 0.761, 95% CI: 0.666-0.869, P < 0.001), 21.3% (HR = 0.787, 95%CI: 0.684-0.907, P = 0.001), and 41.1% (HR = 0.589, 95% CI: 0.506-0.686, P < 0.001) reductions in mortality risk, respectively. In multivariate analysis, sex, HGS, and hemoglobin were identified as independent protective factors, while elevated serum glucose and platelet count were independent risk factors for poor prognosis. The nomogram model constructed based on these variables yielded area under the curve (AUC) values of 64.2%, 61.3%, and 59.8% for predicting 1-, 2-, and 3-year OS, respectively, with a C-index of 0.607 (95% CI: 0.593-0.621), outperforming HGS alone (C-index = 0.541) or any single hematological parameter.ConclusionsHGS is an independent predictor of survival in lung cancer. Combining HGS with hematologic indicators enhances prognostic accuracy. The developed nomogram may serve as a practical tool for individualized prognostication and nutrition-based interventions.
期刊介绍:
Cancer Control is a JCR-ranked, peer-reviewed open access journal whose mission is to advance the prevention, detection, diagnosis, treatment, and palliative care of cancer by enabling researchers, doctors, policymakers, and other healthcare professionals to freely share research along the cancer control continuum. Our vision is a world where gold-standard cancer care is the norm, not the exception.