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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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American Association for Cancer Research
2023
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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. |
format | Online Article Text |
id | pubmed-10155041 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Association for Cancer Research |
record_format | MEDLINE/PubMed |
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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