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MER4 endogenous retrovirus correlated with better efficacy of anti-PD1/PD-L1 therapy in non-small cell lung cancer

BACKGROUND: Endogenous retroviruses (ERVs) are highly expressed in various cancer types and are associated with increased innate immune response and better efficacy of antiprogrammed death-1/ligand-1 (anti-PD1/PD-L1)-directed immune checkpoint inhibitors (ICI) in preclinical models. However, their r...

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Autores principales: Lecuelle, Julie, Favier, Laure, Fraisse, Cléa, Lagrange, Aurélie, Kaderbhai, Coureche, Boidot, Romain, Chevrier, Sandy, Joubert, Philippe, Routy, Bertrand, Truntzer, Caroline, Ghiringhelli, Francois
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8919440/
https://www.ncbi.nlm.nih.gov/pubmed/35277462
http://dx.doi.org/10.1136/jitc-2021-004241
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author Lecuelle, Julie
Favier, Laure
Fraisse, Cléa
Lagrange, Aurélie
Kaderbhai, Coureche
Boidot, Romain
Chevrier, Sandy
Joubert, Philippe
Routy, Bertrand
Truntzer, Caroline
Ghiringhelli, Francois
author_facet Lecuelle, Julie
Favier, Laure
Fraisse, Cléa
Lagrange, Aurélie
Kaderbhai, Coureche
Boidot, Romain
Chevrier, Sandy
Joubert, Philippe
Routy, Bertrand
Truntzer, Caroline
Ghiringhelli, Francois
author_sort Lecuelle, Julie
collection PubMed
description BACKGROUND: Endogenous retroviruses (ERVs) are highly expressed in various cancer types and are associated with increased innate immune response and better efficacy of antiprogrammed death-1/ligand-1 (anti-PD1/PD-L1)-directed immune checkpoint inhibitors (ICI) in preclinical models. However, their role in human non-small cell lung cancer (NSCLC) remains unknown. METHODS: We conducted a retrospective study of patients receiving ICI for advanced NSCLC in two independent cohorts. ERV expression was determined by RNA sequencing. The primary endpoint was progression-free survival (PFS) under ICI. The secondary endpoint was overall survival (OS) from ICI initiation. We studied expression of 6205 ERVs. Multivariate Cox regression model with lasso penalty was estimated on the training set to select ERVs significantly associated with survival. The predictive power of these ERVs was compared with that of previously described transcriptomic signatures. RESULTS: We studied two independent cohorts of 89 and 70 patients, used as training and validation sets. Clinicopathological characteristics included 75% of patients with non-squamous NSCLC. We selected four ERVs significantly associated with PFS. Only high MER4 ERV was associated with better PFS and OS in both cohorts. From a biological point of view, high MER4 expression is associated with higher infiltration of eosinophils and inflammatory gene signatures, while low MER4 expression is associated with enrichment in metabolism and proliferation signatures. Adding MER4 to previously described transcriptomic signatures of response to ICI improved their predictive power. CONCLUSIONS: MER4 ERV expression is useful to stratify risk and predict PFS and OS in patients treated with ICI for NSCLC. It also improves the predictive power of other known transcriptomic signatures.
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spelling pubmed-89194402022-03-25 MER4 endogenous retrovirus correlated with better efficacy of anti-PD1/PD-L1 therapy in non-small cell lung cancer Lecuelle, Julie Favier, Laure Fraisse, Cléa Lagrange, Aurélie Kaderbhai, Coureche Boidot, Romain Chevrier, Sandy Joubert, Philippe Routy, Bertrand Truntzer, Caroline Ghiringhelli, Francois J Immunother Cancer Immunotherapy Biomarkers BACKGROUND: Endogenous retroviruses (ERVs) are highly expressed in various cancer types and are associated with increased innate immune response and better efficacy of antiprogrammed death-1/ligand-1 (anti-PD1/PD-L1)-directed immune checkpoint inhibitors (ICI) in preclinical models. However, their role in human non-small cell lung cancer (NSCLC) remains unknown. METHODS: We conducted a retrospective study of patients receiving ICI for advanced NSCLC in two independent cohorts. ERV expression was determined by RNA sequencing. The primary endpoint was progression-free survival (PFS) under ICI. The secondary endpoint was overall survival (OS) from ICI initiation. We studied expression of 6205 ERVs. Multivariate Cox regression model with lasso penalty was estimated on the training set to select ERVs significantly associated with survival. The predictive power of these ERVs was compared with that of previously described transcriptomic signatures. RESULTS: We studied two independent cohorts of 89 and 70 patients, used as training and validation sets. Clinicopathological characteristics included 75% of patients with non-squamous NSCLC. We selected four ERVs significantly associated with PFS. Only high MER4 ERV was associated with better PFS and OS in both cohorts. From a biological point of view, high MER4 expression is associated with higher infiltration of eosinophils and inflammatory gene signatures, while low MER4 expression is associated with enrichment in metabolism and proliferation signatures. Adding MER4 to previously described transcriptomic signatures of response to ICI improved their predictive power. CONCLUSIONS: MER4 ERV expression is useful to stratify risk and predict PFS and OS in patients treated with ICI for NSCLC. It also improves the predictive power of other known transcriptomic signatures. BMJ Publishing Group 2022-03-11 /pmc/articles/PMC8919440/ /pubmed/35277462 http://dx.doi.org/10.1136/jitc-2021-004241 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Immunotherapy Biomarkers
Lecuelle, Julie
Favier, Laure
Fraisse, Cléa
Lagrange, Aurélie
Kaderbhai, Coureche
Boidot, Romain
Chevrier, Sandy
Joubert, Philippe
Routy, Bertrand
Truntzer, Caroline
Ghiringhelli, Francois
MER4 endogenous retrovirus correlated with better efficacy of anti-PD1/PD-L1 therapy in non-small cell lung cancer
title MER4 endogenous retrovirus correlated with better efficacy of anti-PD1/PD-L1 therapy in non-small cell lung cancer
title_full MER4 endogenous retrovirus correlated with better efficacy of anti-PD1/PD-L1 therapy in non-small cell lung cancer
title_fullStr MER4 endogenous retrovirus correlated with better efficacy of anti-PD1/PD-L1 therapy in non-small cell lung cancer
title_full_unstemmed MER4 endogenous retrovirus correlated with better efficacy of anti-PD1/PD-L1 therapy in non-small cell lung cancer
title_short MER4 endogenous retrovirus correlated with better efficacy of anti-PD1/PD-L1 therapy in non-small cell lung cancer
title_sort mer4 endogenous retrovirus correlated with better efficacy of anti-pd1/pd-l1 therapy in non-small cell lung cancer
topic Immunotherapy Biomarkers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8919440/
https://www.ncbi.nlm.nih.gov/pubmed/35277462
http://dx.doi.org/10.1136/jitc-2021-004241
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