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Pan-cancer analysis identifies SPEN mutation as a predictive biomarker with the efficacy of immunotherapy
The association between specific genetic mutations and immunotherapy benefits has been widely known, while such studies in pan-cancer are still limited. SPEN, mainly involved in X chromosome inactivation (XCI), plays an essential in tumorigenesis and sex differences in cancer. Thus, we firstly analy...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10463702/ https://www.ncbi.nlm.nih.gov/pubmed/37620924 http://dx.doi.org/10.1186/s12885-023-11235-0 |
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author | Li, Ya-Dong Huang, Hao Ren, Zheng-Ju Yuan, Ye Wu, Hao Liu, Chuan |
author_facet | Li, Ya-Dong Huang, Hao Ren, Zheng-Ju Yuan, Ye Wu, Hao Liu, Chuan |
author_sort | Li, Ya-Dong |
collection | PubMed |
description | The association between specific genetic mutations and immunotherapy benefits has been widely known, while such studies in pan-cancer are still limited. SPEN, mainly involved in X chromosome inactivation (XCI), plays an essential in tumorigenesis and sex differences in cancer. Thus, we firstly analyzed the potential role of SPEN in the TCGA pan-cancer cohort and clinical samples. Bioinformatics analysis and immunohistochemistry (IHC) staining confirm that the expression of SPEN is significantly different in various cancers and may involve RNA splicing and processing via enrichment analysis. Then, our data further revealed that those patients with SPEN mutation could predict a better prognosis in pan-cancer and had distinct immune signatures, higher tumor mutation burden (TMB), and microsatellite instability (MSI) in common cancer types. Finally, the cancer patients from 9 studies treated with immune checkpoint inhibitors were included to investigate the efficacy of immunotherapy. The results further showed that SPEN mutation was associated with better clinical outcomes (HR, 0.74; 95%CI, 0.59–0.93, P = 0.01), and this association remained existed in female patients (HR, 0.60; 95%CI, 0.38–0.94 P = 0.024), but not in male patients (HR, 0.82; 95%CI, 0.62–1.08 P = 0.150). Our findings demonstrated that SPEN mutation might strongly predict immunotherapy efficacy in pan-cancer. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-023-11235-0. |
format | Online Article Text |
id | pubmed-10463702 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-104637022023-08-30 Pan-cancer analysis identifies SPEN mutation as a predictive biomarker with the efficacy of immunotherapy Li, Ya-Dong Huang, Hao Ren, Zheng-Ju Yuan, Ye Wu, Hao Liu, Chuan BMC Cancer Research The association between specific genetic mutations and immunotherapy benefits has been widely known, while such studies in pan-cancer are still limited. SPEN, mainly involved in X chromosome inactivation (XCI), plays an essential in tumorigenesis and sex differences in cancer. Thus, we firstly analyzed the potential role of SPEN in the TCGA pan-cancer cohort and clinical samples. Bioinformatics analysis and immunohistochemistry (IHC) staining confirm that the expression of SPEN is significantly different in various cancers and may involve RNA splicing and processing via enrichment analysis. Then, our data further revealed that those patients with SPEN mutation could predict a better prognosis in pan-cancer and had distinct immune signatures, higher tumor mutation burden (TMB), and microsatellite instability (MSI) in common cancer types. Finally, the cancer patients from 9 studies treated with immune checkpoint inhibitors were included to investigate the efficacy of immunotherapy. The results further showed that SPEN mutation was associated with better clinical outcomes (HR, 0.74; 95%CI, 0.59–0.93, P = 0.01), and this association remained existed in female patients (HR, 0.60; 95%CI, 0.38–0.94 P = 0.024), but not in male patients (HR, 0.82; 95%CI, 0.62–1.08 P = 0.150). Our findings demonstrated that SPEN mutation might strongly predict immunotherapy efficacy in pan-cancer. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-023-11235-0. BioMed Central 2023-08-24 /pmc/articles/PMC10463702/ /pubmed/37620924 http://dx.doi.org/10.1186/s12885-023-11235-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Li, Ya-Dong Huang, Hao Ren, Zheng-Ju Yuan, Ye Wu, Hao Liu, Chuan Pan-cancer analysis identifies SPEN mutation as a predictive biomarker with the efficacy of immunotherapy |
title | Pan-cancer analysis identifies SPEN mutation as a predictive biomarker with the efficacy of immunotherapy |
title_full | Pan-cancer analysis identifies SPEN mutation as a predictive biomarker with the efficacy of immunotherapy |
title_fullStr | Pan-cancer analysis identifies SPEN mutation as a predictive biomarker with the efficacy of immunotherapy |
title_full_unstemmed | Pan-cancer analysis identifies SPEN mutation as a predictive biomarker with the efficacy of immunotherapy |
title_short | Pan-cancer analysis identifies SPEN mutation as a predictive biomarker with the efficacy of immunotherapy |
title_sort | pan-cancer analysis identifies spen mutation as a predictive biomarker with the efficacy of immunotherapy |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10463702/ https://www.ncbi.nlm.nih.gov/pubmed/37620924 http://dx.doi.org/10.1186/s12885-023-11235-0 |
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