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RB1 aberrations predict outcomes of immune checkpoint inhibitor combination therapy in NSCLC

INTRODUCTION: Immune checkpoint inhibitors (ICI) have changed the treatment of non-small cell lung cancer (NSCLC). Furthermore, compared with monotherapy, ICI combination therapy had better efficacy and partly different mechanism. Therefore, we aim to investigate and improve biomarkers specialized f...

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Autores principales: Wang, Qian, Yu, Tao, Ke, Zi-Hao, Wang, Fu-Feng, Yin, Jia-Ni, Shao, Yang, Lu, Kai-Hua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10334286/
https://www.ncbi.nlm.nih.gov/pubmed/37441425
http://dx.doi.org/10.3389/fonc.2023.1172728
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author Wang, Qian
Yu, Tao
Ke, Zi-Hao
Wang, Fu-Feng
Yin, Jia-Ni
Shao, Yang
Lu, Kai-Hua
author_facet Wang, Qian
Yu, Tao
Ke, Zi-Hao
Wang, Fu-Feng
Yin, Jia-Ni
Shao, Yang
Lu, Kai-Hua
author_sort Wang, Qian
collection PubMed
description INTRODUCTION: Immune checkpoint inhibitors (ICI) have changed the treatment of non-small cell lung cancer (NSCLC). Furthermore, compared with monotherapy, ICI combination therapy had better efficacy and partly different mechanism. Therefore, we aim to investigate and improve biomarkers specialized for ICI combination therapy. METHODS: We enrolled 53 NSCLC patients treated with ICI combination therapy and collected their tissue and plasma samples to perform next-generation sequencing (NGS) with a 425-gene panel. RESULTS: The line of treatment was the only clinical factor significantly affecting objective response rate (ORR) and progression-free survival (PFS). Surprisingly, classical markers PD-L1 and TMB only had limited predictive values in the ICI combination therapy. Instead, we found RB1 mutation was significantly associated with prognosis. Patients with mutated RB1 had shorter PFS than those with wild RB1 (134d vs 219d, p=0.018). Subsequent analysis showed the RB1 related mutated cell cycle and chromosomal instability were also deleterious to prognosis (103d vs 411d, p<0.001; 138d vs 505d, p=0.018). Additionally, patients with more circulating tumor DNA (ctDNA) had significantly shorter PFS (41d vs 194d, p=0.0043). CONCLUSION: This study identified that NSCLC patients with mutated RB1 were less sensitive to ICI combination therapy. RB1 mutations and following cell cycle abnormalities and chromosomal instability can potentially guide clinical management.
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spelling pubmed-103342862023-07-12 RB1 aberrations predict outcomes of immune checkpoint inhibitor combination therapy in NSCLC Wang, Qian Yu, Tao Ke, Zi-Hao Wang, Fu-Feng Yin, Jia-Ni Shao, Yang Lu, Kai-Hua Front Oncol Oncology INTRODUCTION: Immune checkpoint inhibitors (ICI) have changed the treatment of non-small cell lung cancer (NSCLC). Furthermore, compared with monotherapy, ICI combination therapy had better efficacy and partly different mechanism. Therefore, we aim to investigate and improve biomarkers specialized for ICI combination therapy. METHODS: We enrolled 53 NSCLC patients treated with ICI combination therapy and collected their tissue and plasma samples to perform next-generation sequencing (NGS) with a 425-gene panel. RESULTS: The line of treatment was the only clinical factor significantly affecting objective response rate (ORR) and progression-free survival (PFS). Surprisingly, classical markers PD-L1 and TMB only had limited predictive values in the ICI combination therapy. Instead, we found RB1 mutation was significantly associated with prognosis. Patients with mutated RB1 had shorter PFS than those with wild RB1 (134d vs 219d, p=0.018). Subsequent analysis showed the RB1 related mutated cell cycle and chromosomal instability were also deleterious to prognosis (103d vs 411d, p<0.001; 138d vs 505d, p=0.018). Additionally, patients with more circulating tumor DNA (ctDNA) had significantly shorter PFS (41d vs 194d, p=0.0043). CONCLUSION: This study identified that NSCLC patients with mutated RB1 were less sensitive to ICI combination therapy. RB1 mutations and following cell cycle abnormalities and chromosomal instability can potentially guide clinical management. Frontiers Media S.A. 2023-06-27 /pmc/articles/PMC10334286/ /pubmed/37441425 http://dx.doi.org/10.3389/fonc.2023.1172728 Text en Copyright © 2023 Wang, Yu, Ke, Wang, Yin, Shao and Lu https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Wang, Qian
Yu, Tao
Ke, Zi-Hao
Wang, Fu-Feng
Yin, Jia-Ni
Shao, Yang
Lu, Kai-Hua
RB1 aberrations predict outcomes of immune checkpoint inhibitor combination therapy in NSCLC
title RB1 aberrations predict outcomes of immune checkpoint inhibitor combination therapy in NSCLC
title_full RB1 aberrations predict outcomes of immune checkpoint inhibitor combination therapy in NSCLC
title_fullStr RB1 aberrations predict outcomes of immune checkpoint inhibitor combination therapy in NSCLC
title_full_unstemmed RB1 aberrations predict outcomes of immune checkpoint inhibitor combination therapy in NSCLC
title_short RB1 aberrations predict outcomes of immune checkpoint inhibitor combination therapy in NSCLC
title_sort rb1 aberrations predict outcomes of immune checkpoint inhibitor combination therapy in nsclc
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10334286/
https://www.ncbi.nlm.nih.gov/pubmed/37441425
http://dx.doi.org/10.3389/fonc.2023.1172728
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