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Mass spectrometry-based serum proteomic signature as a potential biomarker for survival in patients with non-small cell lung cancer receiving immunotherapy
BACKGROUND: VeriStrat test is a serum assay which uses a mass spectrometry (MS)-based proteomic signature derived from machine learning. It is currently used as a prognostic marker for patients with non-small cell lung cancer (NSCLC) receiving chemotherapy. However, little is known about its role fo...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7481587/ https://www.ncbi.nlm.nih.gov/pubmed/32953481 http://dx.doi.org/10.21037/tlcr-20-148 |
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author | Chae, Young Kwang Kim, Won Bin Davis, Andrew A. Park, Lee Chun Anker, Jonathan F. Simon, Nicholas I. Rhee, Kyunghoon Song, Junho Cho, Anderson Chang, Sangmin Ko, Taeyeong Oh, Michael Bhave, Manali Viveiros, Pedro |
author_facet | Chae, Young Kwang Kim, Won Bin Davis, Andrew A. Park, Lee Chun Anker, Jonathan F. Simon, Nicholas I. Rhee, Kyunghoon Song, Junho Cho, Anderson Chang, Sangmin Ko, Taeyeong Oh, Michael Bhave, Manali Viveiros, Pedro |
author_sort | Chae, Young Kwang |
collection | PubMed |
description | BACKGROUND: VeriStrat test is a serum assay which uses a mass spectrometry (MS)-based proteomic signature derived from machine learning. It is currently used as a prognostic marker for patients with non-small cell lung cancer (NSCLC) receiving chemotherapy. However, little is known about its role for NSCLC patients receiving immune checkpoint inhibitors (ICIs). METHODS: This is a retrospective study that includes 47 patients with advanced stage NSCLC without an activating EGFR mutation, who underwent the VeriStrat test from 2016 to 2018. Spectra from blood samples were evaluated to assign patients into the VeriStrat ‘Good’ (VS-G) or VeriStrat ‘Poor’ (VS-P) risk group. The clinical outcomes of 32 patients who received programmed cell death 1 (PD-1) inhibitors nivolumab or pembrolizumab were analyzed by VeriStrat status. RESULTS: The VS-G group demonstrated significantly higher progression-free survival (PFS) and overall survival (OS) compared to the VS-P group among overall NSCLC patients regardless of treatment (median PFS of 7.1 vs. 4.2 months, P=0.013, and median OS, not reached vs. 17.2 months, P=0.012). Among NSCLC patients treated with ICIs, VS-G classification was associated with significantly increased PFS in comparison to VS-P classification (median PFS of 6.2 vs. 3.0 months, P=0.012), while the differences in OS trended towards significance (median OS, not reached vs. 16.5 months P=0.076). Multivariate analysis showed that the VeriStrat status was significantly correlated with PFS and OS in NSCLC patients treated with ICIs (P=0.017, P=0.034, respectively). CONCLUSIONS: MS-based serum proteomic signature has potential as a biomarker for survival outcome in NSCLC patients receiving immunotherapy. |
format | Online Article Text |
id | pubmed-7481587 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | AME Publishing Company |
record_format | MEDLINE/PubMed |
spelling | pubmed-74815872020-09-17 Mass spectrometry-based serum proteomic signature as a potential biomarker for survival in patients with non-small cell lung cancer receiving immunotherapy Chae, Young Kwang Kim, Won Bin Davis, Andrew A. Park, Lee Chun Anker, Jonathan F. Simon, Nicholas I. Rhee, Kyunghoon Song, Junho Cho, Anderson Chang, Sangmin Ko, Taeyeong Oh, Michael Bhave, Manali Viveiros, Pedro Transl Lung Cancer Res Original Article BACKGROUND: VeriStrat test is a serum assay which uses a mass spectrometry (MS)-based proteomic signature derived from machine learning. It is currently used as a prognostic marker for patients with non-small cell lung cancer (NSCLC) receiving chemotherapy. However, little is known about its role for NSCLC patients receiving immune checkpoint inhibitors (ICIs). METHODS: This is a retrospective study that includes 47 patients with advanced stage NSCLC without an activating EGFR mutation, who underwent the VeriStrat test from 2016 to 2018. Spectra from blood samples were evaluated to assign patients into the VeriStrat ‘Good’ (VS-G) or VeriStrat ‘Poor’ (VS-P) risk group. The clinical outcomes of 32 patients who received programmed cell death 1 (PD-1) inhibitors nivolumab or pembrolizumab were analyzed by VeriStrat status. RESULTS: The VS-G group demonstrated significantly higher progression-free survival (PFS) and overall survival (OS) compared to the VS-P group among overall NSCLC patients regardless of treatment (median PFS of 7.1 vs. 4.2 months, P=0.013, and median OS, not reached vs. 17.2 months, P=0.012). Among NSCLC patients treated with ICIs, VS-G classification was associated with significantly increased PFS in comparison to VS-P classification (median PFS of 6.2 vs. 3.0 months, P=0.012), while the differences in OS trended towards significance (median OS, not reached vs. 16.5 months P=0.076). Multivariate analysis showed that the VeriStrat status was significantly correlated with PFS and OS in NSCLC patients treated with ICIs (P=0.017, P=0.034, respectively). CONCLUSIONS: MS-based serum proteomic signature has potential as a biomarker for survival outcome in NSCLC patients receiving immunotherapy. AME Publishing Company 2020-08 /pmc/articles/PMC7481587/ /pubmed/32953481 http://dx.doi.org/10.21037/tlcr-20-148 Text en 2020 Translational Lung Cancer Research. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Original Article Chae, Young Kwang Kim, Won Bin Davis, Andrew A. Park, Lee Chun Anker, Jonathan F. Simon, Nicholas I. Rhee, Kyunghoon Song, Junho Cho, Anderson Chang, Sangmin Ko, Taeyeong Oh, Michael Bhave, Manali Viveiros, Pedro Mass spectrometry-based serum proteomic signature as a potential biomarker for survival in patients with non-small cell lung cancer receiving immunotherapy |
title | Mass spectrometry-based serum proteomic signature as a potential biomarker for survival in patients with non-small cell lung cancer receiving immunotherapy |
title_full | Mass spectrometry-based serum proteomic signature as a potential biomarker for survival in patients with non-small cell lung cancer receiving immunotherapy |
title_fullStr | Mass spectrometry-based serum proteomic signature as a potential biomarker for survival in patients with non-small cell lung cancer receiving immunotherapy |
title_full_unstemmed | Mass spectrometry-based serum proteomic signature as a potential biomarker for survival in patients with non-small cell lung cancer receiving immunotherapy |
title_short | Mass spectrometry-based serum proteomic signature as a potential biomarker for survival in patients with non-small cell lung cancer receiving immunotherapy |
title_sort | mass spectrometry-based serum proteomic signature as a potential biomarker for survival in patients with non-small cell lung cancer receiving immunotherapy |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7481587/ https://www.ncbi.nlm.nih.gov/pubmed/32953481 http://dx.doi.org/10.21037/tlcr-20-148 |
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