İsmet Seven, Mehmet Akif Karacan, Semanur Özsan Çelebi, İrfan Karahan, Kahraman Kapanşahin, Fahriye Tuğba Köş, Elif Özdemir, Doğan Uncu
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Metabolic metrics obtained from 18F-FDG PET/CT imaging, maximum standard uptake, metabolic tumor volume, and total lesion glycolysis were measured for whole body lesions (SUVmax_WB, MTV_WB, and TLG_WB) and primary tumors (SUVmax_T, MTV_T, and TLG_T). Primary endpoints examined were OS and the rate of sarcopenia diagnosis.</p><p><strong>Results: </strong>Patients with sarcopenia, comprising 74.2% of the cohort, experienced a markedly reduced median OS of 4.7 months compared to 9.8 months in the non-sarcopenic cohort, which accounted for 25.8% of the population. Multivariate analysis revealed that sarcopenia, as well as metabolic metrics, including SUVmax_T, MTV_T, TLG_T, and SUVmax_WB, were independent predictors of OS in metastatic nsNSCLC patients.</p><p><strong>Conclusion: </strong>The presence of sarcopenia and unfavorable metabolic metrics on 18F-FDG PET/CT are linked to worse survival outcomes in metastatic nsNSCLC patients.</p>","PeriodicalId":9182,"journal":{"name":"Biomarkers in medicine","volume":" ","pages":"707-716"},"PeriodicalIF":2.1000,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12344796/pdf/","citationCount":"0","resultStr":"{\"title\":\"The predictive value of sarcopenia and PET imaging metrics in metastatic non-squamous NSCLC.\",\"authors\":\"İsmet Seven, Mehmet Akif Karacan, Semanur Özsan Çelebi, İrfan Karahan, Kahraman Kapanşahin, Fahriye Tuğba Köş, Elif Özdemir, Doğan Uncu\",\"doi\":\"10.1080/17520363.2025.2540758\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Aim: </strong>Metastatic non-small cell lung cancer (NSCLC) patients face a poor prognosis, with a 5-year overall survival (OS) rate of under 10%. In this investigation, we examined the prognostic implications of sarcopenia and metabolic metrics obtained from 18F-FDG PET/CT imaging in individuals diagnosed with metastatic non-squamous NSCLC (nsNSCLC).</p><p><strong>Methods: </strong>The investigation included 124 individuals with metastatic nsNSCLC who underwent 18F-FDG PET/CT imaging on diagnosis. Sarcopenia was determined by evaluating the skeletal muscle index at the L3 vertebral level. Metabolic metrics obtained from 18F-FDG PET/CT imaging, maximum standard uptake, metabolic tumor volume, and total lesion glycolysis were measured for whole body lesions (SUVmax_WB, MTV_WB, and TLG_WB) and primary tumors (SUVmax_T, MTV_T, and TLG_T). Primary endpoints examined were OS and the rate of sarcopenia diagnosis.</p><p><strong>Results: </strong>Patients with sarcopenia, comprising 74.2% of the cohort, experienced a markedly reduced median OS of 4.7 months compared to 9.8 months in the non-sarcopenic cohort, which accounted for 25.8% of the population. Multivariate analysis revealed that sarcopenia, as well as metabolic metrics, including SUVmax_T, MTV_T, TLG_T, and SUVmax_WB, were independent predictors of OS in metastatic nsNSCLC patients.</p><p><strong>Conclusion: </strong>The presence of sarcopenia and unfavorable metabolic metrics on 18F-FDG PET/CT are linked to worse survival outcomes in metastatic nsNSCLC patients.</p>\",\"PeriodicalId\":9182,\"journal\":{\"name\":\"Biomarkers in medicine\",\"volume\":\" \",\"pages\":\"707-716\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2025-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12344796/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biomarkers in medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1080/17520363.2025.2540758\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/8/3 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"MEDICINE, RESEARCH & EXPERIMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biomarkers in medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/17520363.2025.2540758","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/8/3 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
The predictive value of sarcopenia and PET imaging metrics in metastatic non-squamous NSCLC.
Aim: Metastatic non-small cell lung cancer (NSCLC) patients face a poor prognosis, with a 5-year overall survival (OS) rate of under 10%. In this investigation, we examined the prognostic implications of sarcopenia and metabolic metrics obtained from 18F-FDG PET/CT imaging in individuals diagnosed with metastatic non-squamous NSCLC (nsNSCLC).
Methods: The investigation included 124 individuals with metastatic nsNSCLC who underwent 18F-FDG PET/CT imaging on diagnosis. Sarcopenia was determined by evaluating the skeletal muscle index at the L3 vertebral level. Metabolic metrics obtained from 18F-FDG PET/CT imaging, maximum standard uptake, metabolic tumor volume, and total lesion glycolysis were measured for whole body lesions (SUVmax_WB, MTV_WB, and TLG_WB) and primary tumors (SUVmax_T, MTV_T, and TLG_T). Primary endpoints examined were OS and the rate of sarcopenia diagnosis.
Results: Patients with sarcopenia, comprising 74.2% of the cohort, experienced a markedly reduced median OS of 4.7 months compared to 9.8 months in the non-sarcopenic cohort, which accounted for 25.8% of the population. Multivariate analysis revealed that sarcopenia, as well as metabolic metrics, including SUVmax_T, MTV_T, TLG_T, and SUVmax_WB, were independent predictors of OS in metastatic nsNSCLC patients.
Conclusion: The presence of sarcopenia and unfavorable metabolic metrics on 18F-FDG PET/CT are linked to worse survival outcomes in metastatic nsNSCLC patients.
期刊介绍：
Biomarkers are physical, functional or biochemical indicators of physiological or disease processes. These key indicators can provide vital information in determining disease prognosis, in predicting of response to therapies, adverse events and drug interactions, and in establishing baseline risk. The explosion of interest in biomarker research is driving the development of new predictive, diagnostic and prognostic products in modern medical practice, and biomarkers are also playing an increasingly important role in the discovery and development of new drugs. For the full utility of biomarkers to be realized, we require greater understanding of disease mechanisms, and the interplay between disease mechanisms, therapeutic interventions and the proposed biomarkers. However, in attempting to evaluate the pros and cons of biomarkers systematically, we are moving into new, challenging territory.
Biomarkers in Medicine (ISSN 1752-0363) is a peer-reviewed, rapid publication journal delivering commentary and analysis on the advances in our understanding of biomarkers and their potential and actual applications in medicine. The journal facilitates translation of our research knowledge into the clinic to increase the effectiveness of medical practice.
As the scientific rationale and regulatory acceptance for biomarkers in medicine and in drug development become more fully established, Biomarkers in Medicine provides the platform for all players in this increasingly vital area to communicate and debate all issues relating to the potential utility and applications.
Each issue includes a diversity of content to provide rounded coverage for the research professional. Articles include Guest Editorials, Interviews, Reviews, Research Articles, Perspectives, Priority Paper Evaluations, Special Reports, Case Reports, Conference Reports and Company Profiles. Review coverage is divided into themed sections according to area of therapeutic utility with some issues including themed sections on an area of topical interest.
Biomarkers in Medicine provides a platform for commentary and debate for all professionals with an interest in the identification of biomarkers, elucidation of their role and formalization and approval of their application in modern medicine. The audience for Biomarkers in Medicine includes academic and industrial researchers, clinicians, pathologists, clinical chemists and regulatory professionals.
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