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

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 (18)F-fluorodeoxyglucose ((18)F-FDG) positron emission tom...

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Autores principales: Kim, Chang Gon, Hwang, Sang Hyun, Kim, Kyung Hwan, Yoon, Hong In, Shim, Hyo Sup, Lee, Ji Hyun, Han, Yejeong, Ahn, Beung-Chul, Hong, Min Hee, Kim, Hye Ryun, Cho, Byoung Chul, Cho, Arthur, Lim, Sun Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8753071/
https://www.ncbi.nlm.nih.gov/pubmed/35035536
http://dx.doi.org/10.1177/17588359211068732
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author Kim, Chang Gon
Hwang, Sang Hyun
Kim, Kyung Hwan
Yoon, Hong In
Shim, Hyo Sup
Lee, Ji Hyun
Han, Yejeong
Ahn, Beung-Chul
Hong, Min Hee
Kim, Hye Ryun
Cho, Byoung Chul
Cho, Arthur
Lim, Sun Min
author_facet Kim, Chang Gon
Hwang, Sang Hyun
Kim, Kyung Hwan
Yoon, Hong In
Shim, Hyo Sup
Lee, Ji Hyun
Han, Yejeong
Ahn, Beung-Chul
Hong, Min Hee
Kim, Hye Ryun
Cho, Byoung Chul
Cho, Arthur
Lim, Sun Min
author_sort Kim, Chang Gon
collection PubMed
description 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 (18)F-fluorodeoxyglucose ((18)F-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 (18)F-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 volume(2.5), total lesion glycolysis(2.5), 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.
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spelling pubmed-87530712022-01-13 Predicting treatment outcomes using (18)F-FDG PET biomarkers in patients with non-small-cell lung cancer receiving chemoimmunotherapy Kim, Chang Gon Hwang, Sang Hyun Kim, Kyung Hwan Yoon, Hong In Shim, Hyo Sup Lee, Ji Hyun Han, Yejeong Ahn, Beung-Chul Hong, Min Hee Kim, Hye Ryun Cho, Byoung Chul Cho, Arthur Lim, Sun Min Ther Adv Med Oncol Original Research 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 (18)F-fluorodeoxyglucose ((18)F-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 (18)F-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 volume(2.5), total lesion glycolysis(2.5), 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. SAGE Publications 2022-01-09 /pmc/articles/PMC8753071/ /pubmed/35035536 http://dx.doi.org/10.1177/17588359211068732 Text en © The Author(s), 2022 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research
Kim, Chang Gon
Hwang, Sang Hyun
Kim, Kyung Hwan
Yoon, Hong In
Shim, Hyo Sup
Lee, Ji Hyun
Han, Yejeong
Ahn, Beung-Chul
Hong, Min Hee
Kim, Hye Ryun
Cho, Byoung Chul
Cho, Arthur
Lim, Sun Min
Predicting treatment outcomes using (18)F-FDG PET biomarkers in patients with non-small-cell lung cancer receiving chemoimmunotherapy
title Predicting treatment outcomes using (18)F-FDG PET biomarkers in patients with non-small-cell lung cancer receiving chemoimmunotherapy
title_full Predicting treatment outcomes using (18)F-FDG PET biomarkers in patients with non-small-cell lung cancer receiving chemoimmunotherapy
title_fullStr Predicting treatment outcomes using (18)F-FDG PET biomarkers in patients with non-small-cell lung cancer receiving chemoimmunotherapy
title_full_unstemmed Predicting treatment outcomes using (18)F-FDG PET biomarkers in patients with non-small-cell lung cancer receiving chemoimmunotherapy
title_short Predicting treatment outcomes using (18)F-FDG PET biomarkers in patients with non-small-cell lung cancer receiving chemoimmunotherapy
title_sort predicting treatment outcomes using (18)f-fdg pet biomarkers in patients with non-small-cell lung cancer receiving chemoimmunotherapy
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8753071/
https://www.ncbi.nlm.nih.gov/pubmed/35035536
http://dx.doi.org/10.1177/17588359211068732
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