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Immunotherapeutic Significance of a Prognostic Alternative Splicing Signature in Bladder Cancer

Objectives: Bladder cancer is the fourth most common malignancy in men in the United States. Aberrant alternative splicing (AS) events are involved in the carcinogenesis, but the association between AS and bladder cancer remains unclear. This study aimed to construct an AS-based prognostic signature...

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Autores principales: Chen, Jiang, Liao, Yangjie, Li, Rui, Luo, Mingjiang, Wu, Guanlin, Tan, Ruirong, Xiao, Zhihong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9083046/
https://www.ncbi.nlm.nih.gov/pubmed/35509211
http://dx.doi.org/10.1177/15330338221090093
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author Chen, Jiang
Liao, Yangjie
Li, Rui
Luo, Mingjiang
Wu, Guanlin
Tan, Ruirong
Xiao, Zhihong
author_facet Chen, Jiang
Liao, Yangjie
Li, Rui
Luo, Mingjiang
Wu, Guanlin
Tan, Ruirong
Xiao, Zhihong
author_sort Chen, Jiang
collection PubMed
description Objectives: Bladder cancer is the fourth most common malignancy in men in the United States. Aberrant alternative splicing (AS) events are involved in the carcinogenesis, but the association between AS and bladder cancer remains unclear. This study aimed to construct an AS-based prognostic signature and elucidate the role of the tumor immune microenvironment (TIME) and the response to immunotherapy and chemotherapy in bladder cancer. Methods: Univariate Cox regression analysis was performed to detect prognosis-related AS events. The least absolute shrinkage and selection operator (LASSO) and multivariate Cox analyses were employed to build prognostic signatures. Kaplan–Meier survival analysis, multivariate Cox regression analysis, and receiver operating characteristic (ROC) curves were conducted to validate the prognostic signatures. Then, the Estimation of Stromal and Immune cells in MAlignant Tumor tissues using Expression data (ESTIMATE) and tumor immune estimation resource (TIMER) databases were searched and the single-sample gene set enrichment analysis (ssGSEA) algorithm and CIBERSORT method were performed to uncover the context of TIME in bladder cancer. The Tumor Immune Dysfunction and Exclusion (TIDE) web tool and pRRophetic algorithm were used to predict the response to immunotherapy and chemotherapy. Finally, we constructed a correlation network between splicing factors (SFs) and survival-related AS events. Results: A total of 4684 AS events were significantly associated with overall survival in patients with bladder cancer. Eight prognostic signatures of bladder cancer were established, and a clinical survival prediction model was built. In addition, the consolidated prognostic signature was closely related to immune infiltration and the response to immunotherapy and chemotherapy. Furthermore, the correlation identified EIF3A, DDX21, SDE2, TNPO1, and RNF40 as hub SFs, and function analysis found ubiquitin-mediated proteolysis is correlated most significantly with survival-associated AS events. Conclusion: Our findings highlight the prognostic value of AS for patients with bladder cancer and reveal pivotal players of AS events in the context of TIME and the response to immunotherapy and chemotherapy, which may be important for patient management and treatment.
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spelling pubmed-90830462022-05-10 Immunotherapeutic Significance of a Prognostic Alternative Splicing Signature in Bladder Cancer Chen, Jiang Liao, Yangjie Li, Rui Luo, Mingjiang Wu, Guanlin Tan, Ruirong Xiao, Zhihong Technol Cancer Res Treat A New Generation of Cancer Therapy Objectives: Bladder cancer is the fourth most common malignancy in men in the United States. Aberrant alternative splicing (AS) events are involved in the carcinogenesis, but the association between AS and bladder cancer remains unclear. This study aimed to construct an AS-based prognostic signature and elucidate the role of the tumor immune microenvironment (TIME) and the response to immunotherapy and chemotherapy in bladder cancer. Methods: Univariate Cox regression analysis was performed to detect prognosis-related AS events. The least absolute shrinkage and selection operator (LASSO) and multivariate Cox analyses were employed to build prognostic signatures. Kaplan–Meier survival analysis, multivariate Cox regression analysis, and receiver operating characteristic (ROC) curves were conducted to validate the prognostic signatures. Then, the Estimation of Stromal and Immune cells in MAlignant Tumor tissues using Expression data (ESTIMATE) and tumor immune estimation resource (TIMER) databases were searched and the single-sample gene set enrichment analysis (ssGSEA) algorithm and CIBERSORT method were performed to uncover the context of TIME in bladder cancer. The Tumor Immune Dysfunction and Exclusion (TIDE) web tool and pRRophetic algorithm were used to predict the response to immunotherapy and chemotherapy. Finally, we constructed a correlation network between splicing factors (SFs) and survival-related AS events. Results: A total of 4684 AS events were significantly associated with overall survival in patients with bladder cancer. Eight prognostic signatures of bladder cancer were established, and a clinical survival prediction model was built. In addition, the consolidated prognostic signature was closely related to immune infiltration and the response to immunotherapy and chemotherapy. Furthermore, the correlation identified EIF3A, DDX21, SDE2, TNPO1, and RNF40 as hub SFs, and function analysis found ubiquitin-mediated proteolysis is correlated most significantly with survival-associated AS events. Conclusion: Our findings highlight the prognostic value of AS for patients with bladder cancer and reveal pivotal players of AS events in the context of TIME and the response to immunotherapy and chemotherapy, which may be important for patient management and treatment. SAGE Publications 2022-05-04 /pmc/articles/PMC9083046/ /pubmed/35509211 http://dx.doi.org/10.1177/15330338221090093 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle A New Generation of Cancer Therapy
Chen, Jiang
Liao, Yangjie
Li, Rui
Luo, Mingjiang
Wu, Guanlin
Tan, Ruirong
Xiao, Zhihong
Immunotherapeutic Significance of a Prognostic Alternative Splicing Signature in Bladder Cancer
title Immunotherapeutic Significance of a Prognostic Alternative Splicing Signature in Bladder Cancer
title_full Immunotherapeutic Significance of a Prognostic Alternative Splicing Signature in Bladder Cancer
title_fullStr Immunotherapeutic Significance of a Prognostic Alternative Splicing Signature in Bladder Cancer
title_full_unstemmed Immunotherapeutic Significance of a Prognostic Alternative Splicing Signature in Bladder Cancer
title_short Immunotherapeutic Significance of a Prognostic Alternative Splicing Signature in Bladder Cancer
title_sort immunotherapeutic significance of a prognostic alternative splicing signature in bladder cancer
topic A New Generation of Cancer Therapy
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9083046/
https://www.ncbi.nlm.nih.gov/pubmed/35509211
http://dx.doi.org/10.1177/15330338221090093
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