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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2020
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.
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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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