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Predicting treatment outcomes using 18 F-FDG PET biomarkers in patients with non-small-cell lung cancer receiving chemoimmunotherapy

DC Field Value Language
dc.contributor.author김경환-
dc.contributor.author김창곤-
dc.contributor.author김혜련-
dc.contributor.author심효섭-
dc.contributor.author안병철-
dc.contributor.author윤홍인-
dc.contributor.author이지현-
dc.contributor.author임선민-
dc.contributor.author조병철-
dc.contributor.author조응혁-
dc.contributor.author홍민희-
dc.contributor.author황상현-
dc.date.accessioned2022-03-11T06:03:19Z-
dc.date.available2022-03-11T06:03:19Z-
dc.date.issued2022-01-
dc.identifier.issn1758-8340-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/187922-
dc.description.abstractBackground: Predictive markers for treatment response and survival outcome have not been identified in patients with advanced non-small-cell lung cancer (NSCLC) receiving chemoimmunotherapy. We aimed to evaluate whether imaging biomarkers of 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography/computed tomography (PET/CT) and routinely assessed clinico-laboratory values were associated with clinical outcomes in patients with advanced NSCLC receiving pembrolizumab plus platinum-doublet chemotherapy as a first-line treatment. Methods: We retrospectively enrolled 52 patients with advanced NSCLC who underwent baseline 18F-FDG PET/CT before treatment initiation. PET/CT parameters and clinico-laboratory variables, constituting the prognostic immunotherapy scoring system, were collected. Optimal cut-off values for PET/CT parameters were determined using the maximized log-rank test for progression-free survival (PFS). A multivariate prediction model was developed based on Cox models for PFS, and a scoring system was established based on hazard ratios of the predictive factors. Results: During the median follow-up period of 16.7 months (95% confidence interval: 15.7-17.7 months), 43 (82.7%) and 31 (59.6%) patients experienced disease progression and death, respectively. Objective response was observed in 23 (44.2%) patients. In the multivariate analysis, maximum standardized uptake value, metabolic tumour volume2.5, total lesion glycolysis2.5, and bone marrow-to-liver uptake ratio from the PET/CT variables and neutrophil-to-lymphocyte ratio (NLR) from the clinico-laboratory variables were independently associated with PFS. The scoring system based on these independent predictive variables significantly predicted the treatment response, PFS, and overall survival. Conclusion: PET/CT variables and NLR were useful biomarkers for predicting outcomes of patients with NSCLC receiving pembrolizumab and chemotherapy as a first-line treatment, suggesting their potential as effective markers for combined PD-1 blockade and chemotherapy.-
dc.description.statementOfResponsibilityopen-
dc.languageEnglish-
dc.publisherSage-
dc.relation.isPartOfTHERAPEUTIC ADVANCES IN MEDICAL ONCOLOGY-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.titlePredicting treatment outcomes using 18 F-FDG PET biomarkers in patients with non-small-cell lung cancer receiving chemoimmunotherapy-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Radiation Oncology (방사선종양학교실)-
dc.contributor.googleauthorChang Gon Kim-
dc.contributor.googleauthorSang Hyun Hwang-
dc.contributor.googleauthorKyung Hwan Kim-
dc.contributor.googleauthorHong In Yoon-
dc.contributor.googleauthorHyo Sup Shim-
dc.contributor.googleauthorJi Hyun Lee-
dc.contributor.googleauthorYejeong Han-
dc.contributor.googleauthorBeung-Chul Ahn-
dc.contributor.googleauthorMin Hee Hong-
dc.contributor.googleauthorHye Ryun Kim-
dc.contributor.googleauthorByoung Chul Cho-
dc.contributor.googleauthorArthur Cho-
dc.contributor.googleauthorSun Min Lim-
dc.identifier.doi10.1177/17588359211068732-
dc.contributor.localIdA05226-
dc.contributor.localIdA05991-
dc.contributor.localIdA01166-
dc.contributor.localIdA02219-
dc.contributor.localIdA05556-
dc.contributor.localIdA04777-
dc.contributor.localIdA06101-
dc.contributor.localIdA03369-
dc.contributor.localIdA03822-
dc.contributor.localIdA03887-
dc.contributor.localIdA04393-
dc.contributor.localIdA05953-
dc.relation.journalcodeJ02720-
dc.identifier.eissn1758-8359-
dc.identifier.pmid35035536-
dc.subject.keyword18F-FDG PET/CT-
dc.subject.keywordchemoimmunotherapy-
dc.subject.keywordnon-small-cell lung cancer-
dc.subject.keywordpredictive model-
dc.subject.keywordtreatment outcome-
dc.contributor.alternativeNameKim, Kyung Hwan-
dc.contributor.affiliatedAuthor김경환-
dc.contributor.affiliatedAuthor김창곤-
dc.contributor.affiliatedAuthor김혜련-
dc.contributor.affiliatedAuthor심효섭-
dc.contributor.affiliatedAuthor안병철-
dc.contributor.affiliatedAuthor윤홍인-
dc.contributor.affiliatedAuthor이지현-
dc.contributor.affiliatedAuthor임선민-
dc.contributor.affiliatedAuthor조병철-
dc.contributor.affiliatedAuthor조응혁-
dc.contributor.affiliatedAuthor홍민희-
dc.contributor.affiliatedAuthor황상현-
dc.citation.volume14-
dc.citation.startPage17588359211068732-
dc.identifier.bibliographicCitationTHERAPEUTIC ADVANCES IN MEDICAL ONCOLOGY, Vol.14 : 17588359211068732, 2022-01-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Nuclear Medicine (핵의학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Pathology (병리학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Radiation Oncology (방사선종양학교실) > 1. Journal Papers

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