Cited 10 times in
Predicting treatment outcomes using 18 F-FDG PET biomarkers in patients with non-small-cell lung cancer receiving chemoimmunotherapy
DC Field | Value | Language |
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dc.contributor.author | 김경환 | - |
dc.contributor.author | 김창곤 | - |
dc.contributor.author | 김혜련 | - |
dc.contributor.author | 심효섭 | - |
dc.contributor.author | 안병철 | - |
dc.contributor.author | 윤홍인 | - |
dc.contributor.author | 이지현 | - |
dc.contributor.author | 임선민 | - |
dc.contributor.author | 조병철 | - |
dc.contributor.author | 조응혁 | - |
dc.contributor.author | 홍민희 | - |
dc.contributor.author | 황상현 | - |
dc.date.accessioned | 2022-03-11T06:03:19Z | - |
dc.date.available | 2022-03-11T06:03:19Z | - |
dc.date.issued | 2022-01 | - |
dc.identifier.issn | 1758-8340 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/187922 | - |
dc.description.abstract | Background: 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.statementOfResponsibility | open | - |
dc.language | English | - |
dc.publisher | Sage | - |
dc.relation.isPartOf | THERAPEUTIC ADVANCES IN MEDICAL ONCOLOGY | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.title | Predicting treatment outcomes using 18 F-FDG PET biomarkers in patients with non-small-cell lung cancer receiving chemoimmunotherapy | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Radiation Oncology (방사선종양학교실) | - |
dc.contributor.googleauthor | Chang Gon Kim | - |
dc.contributor.googleauthor | Sang Hyun Hwang | - |
dc.contributor.googleauthor | Kyung Hwan Kim | - |
dc.contributor.googleauthor | Hong In Yoon | - |
dc.contributor.googleauthor | Hyo Sup Shim | - |
dc.contributor.googleauthor | Ji Hyun Lee | - |
dc.contributor.googleauthor | Yejeong Han | - |
dc.contributor.googleauthor | Beung-Chul Ahn | - |
dc.contributor.googleauthor | Min Hee Hong | - |
dc.contributor.googleauthor | Hye Ryun Kim | - |
dc.contributor.googleauthor | Byoung Chul Cho | - |
dc.contributor.googleauthor | Arthur Cho | - |
dc.contributor.googleauthor | Sun Min Lim | - |
dc.identifier.doi | 10.1177/17588359211068732 | - |
dc.contributor.localId | A05226 | - |
dc.contributor.localId | A05991 | - |
dc.contributor.localId | A01166 | - |
dc.contributor.localId | A02219 | - |
dc.contributor.localId | A05556 | - |
dc.contributor.localId | A04777 | - |
dc.contributor.localId | A06101 | - |
dc.contributor.localId | A03369 | - |
dc.contributor.localId | A03822 | - |
dc.contributor.localId | A03887 | - |
dc.contributor.localId | A04393 | - |
dc.contributor.localId | A05953 | - |
dc.relation.journalcode | J02720 | - |
dc.identifier.eissn | 1758-8359 | - |
dc.identifier.pmid | 35035536 | - |
dc.subject.keyword | 18F-FDG PET/CT | - |
dc.subject.keyword | chemoimmunotherapy | - |
dc.subject.keyword | non-small-cell lung cancer | - |
dc.subject.keyword | predictive model | - |
dc.subject.keyword | treatment outcome | - |
dc.contributor.alternativeName | Kim, Kyung Hwan | - |
dc.contributor.affiliatedAuthor | 김경환 | - |
dc.contributor.affiliatedAuthor | 김창곤 | - |
dc.contributor.affiliatedAuthor | 김혜련 | - |
dc.contributor.affiliatedAuthor | 심효섭 | - |
dc.contributor.affiliatedAuthor | 안병철 | - |
dc.contributor.affiliatedAuthor | 윤홍인 | - |
dc.contributor.affiliatedAuthor | 이지현 | - |
dc.contributor.affiliatedAuthor | 임선민 | - |
dc.contributor.affiliatedAuthor | 조병철 | - |
dc.contributor.affiliatedAuthor | 조응혁 | - |
dc.contributor.affiliatedAuthor | 홍민희 | - |
dc.contributor.affiliatedAuthor | 황상현 | - |
dc.citation.volume | 14 | - |
dc.citation.startPage | 17588359211068732 | - |
dc.identifier.bibliographicCitation | THERAPEUTIC ADVANCES IN MEDICAL ONCOLOGY, Vol.14 : 17588359211068732, 2022-01 | - |
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