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SWI/SNF Complex Genomic Alterations as a Predictive Biomarker for Response to Immune Checkpoint Inhibitors in Multiple Cancers

Whether there is an association between SWI/SNF genomic alterations in tumors and response to immune checkpoint inhibitors (ICI) remains unclear because prior studies have focused on either an individual gene or a predefined set of genes. Herein, using mutational and clinical data from 832 ICI-treat...

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Autores principales: Wang, Di, Wang, Jianchao, Zhou, Dongmei, Wu, Zhixian, Liu, Wei, Chen, Yanping, Chen, Gang, Zhang, Jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for Cancer Research 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10155041/
https://www.ncbi.nlm.nih.gov/pubmed/36848524
http://dx.doi.org/10.1158/2326-6066.CIR-22-0813
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author Wang, Di
Wang, Jianchao
Zhou, Dongmei
Wu, Zhixian
Liu, Wei
Chen, Yanping
Chen, Gang
Zhang, Jing
author_facet Wang, Di
Wang, Jianchao
Zhou, Dongmei
Wu, Zhixian
Liu, Wei
Chen, Yanping
Chen, Gang
Zhang, Jing
author_sort Wang, Di
collection PubMed
description Whether there is an association between SWI/SNF genomic alterations in tumors and response to immune checkpoint inhibitors (ICI) remains unclear because prior studies have focused on either an individual gene or a predefined set of genes. Herein, using mutational and clinical data from 832 ICI-treated patients who underwent whole-exome sequencing, including sequencing of all 31 genes of the SWI/SNF complex, we found that SWI/SNF complex alterations were associated with significantly improved overall survival (OS) in melanoma, clear-cell renal cell carcinoma, and gastrointestinal cancer, as well as improved progression-free survival (PFS) in non–small cell lung cancer. Including tumor mutational burden as a variable, the multivariate Cox regression analysis showed SWI/SNF genomic alterations had prognostic value in melanoma [HR, 0.63 (95% confidence interval, CI, 0.47–0.85), P = 0.003], clear-cell renal cell carcinoma [HR, 0.62 (95% CI, 0.46–0.85), P = 0.003], and gastrointestinal cancer [HR, 0.42 (95% CI, 0.18–1.01), P = 0.053]. Furthermore, we used the random forest method for variable screening, identifying 14 genes as a SWI/SNF signature for potential clinical application. Significant correlations were observed between SWI/SNF signature alterations and improved OS and PFS in all cohorts. This suggests that SWI/SNF gene alterations are associated with better clinical outcomes in ICI-treated patients and may serve as a predictive marker for ICI therapy in multiple cancers.
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spelling pubmed-101550412023-05-04 SWI/SNF Complex Genomic Alterations as a Predictive Biomarker for Response to Immune Checkpoint Inhibitors in Multiple Cancers Wang, Di Wang, Jianchao Zhou, Dongmei Wu, Zhixian Liu, Wei Chen, Yanping Chen, Gang Zhang, Jing Cancer Immunol Res Research Articles Whether there is an association between SWI/SNF genomic alterations in tumors and response to immune checkpoint inhibitors (ICI) remains unclear because prior studies have focused on either an individual gene or a predefined set of genes. Herein, using mutational and clinical data from 832 ICI-treated patients who underwent whole-exome sequencing, including sequencing of all 31 genes of the SWI/SNF complex, we found that SWI/SNF complex alterations were associated with significantly improved overall survival (OS) in melanoma, clear-cell renal cell carcinoma, and gastrointestinal cancer, as well as improved progression-free survival (PFS) in non–small cell lung cancer. Including tumor mutational burden as a variable, the multivariate Cox regression analysis showed SWI/SNF genomic alterations had prognostic value in melanoma [HR, 0.63 (95% confidence interval, CI, 0.47–0.85), P = 0.003], clear-cell renal cell carcinoma [HR, 0.62 (95% CI, 0.46–0.85), P = 0.003], and gastrointestinal cancer [HR, 0.42 (95% CI, 0.18–1.01), P = 0.053]. Furthermore, we used the random forest method for variable screening, identifying 14 genes as a SWI/SNF signature for potential clinical application. Significant correlations were observed between SWI/SNF signature alterations and improved OS and PFS in all cohorts. This suggests that SWI/SNF gene alterations are associated with better clinical outcomes in ICI-treated patients and may serve as a predictive marker for ICI therapy in multiple cancers. American Association for Cancer Research 2023-05-03 2023-02-27 /pmc/articles/PMC10155041/ /pubmed/36848524 http://dx.doi.org/10.1158/2326-6066.CIR-22-0813 Text en ©2023 The Authors; Published by the American Association for Cancer Research https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license.
spellingShingle Research Articles
Wang, Di
Wang, Jianchao
Zhou, Dongmei
Wu, Zhixian
Liu, Wei
Chen, Yanping
Chen, Gang
Zhang, Jing
SWI/SNF Complex Genomic Alterations as a Predictive Biomarker for Response to Immune Checkpoint Inhibitors in Multiple Cancers
title SWI/SNF Complex Genomic Alterations as a Predictive Biomarker for Response to Immune Checkpoint Inhibitors in Multiple Cancers
title_full SWI/SNF Complex Genomic Alterations as a Predictive Biomarker for Response to Immune Checkpoint Inhibitors in Multiple Cancers
title_fullStr SWI/SNF Complex Genomic Alterations as a Predictive Biomarker for Response to Immune Checkpoint Inhibitors in Multiple Cancers
title_full_unstemmed SWI/SNF Complex Genomic Alterations as a Predictive Biomarker for Response to Immune Checkpoint Inhibitors in Multiple Cancers
title_short SWI/SNF Complex Genomic Alterations as a Predictive Biomarker for Response to Immune Checkpoint Inhibitors in Multiple Cancers
title_sort swi/snf complex genomic alterations as a predictive biomarker for response to immune checkpoint inhibitors in multiple cancers
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10155041/
https://www.ncbi.nlm.nih.gov/pubmed/36848524
http://dx.doi.org/10.1158/2326-6066.CIR-22-0813
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