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Identification of alternative splicing associated with clinical features: from pan-cancers to genitourinary tumors

BACKGROUND: Alternative splicing events (ASEs) are vital causes of tumor heterogeneity in genitourinary tumors and many other cancers. However, the clinicopathological relevance of ASEs in cancers has not yet been comprehensively characterized. METHODS: By analyzing splicing data from the TCGA Splic...

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Autores principales: Duan, Chen, Zhang, Yangjun, Li, Lu, Liu, Kai, Yao, Xiangyang, Wu, Xiaoliang, Li, Bo, Mao, Xiongmin, Wu, Huahui, Liu, Haoran, Zeng, Jin, Li, Sheng, Gong, Yan, Hu, Zhiquan, Xu, 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/PMC10557043/
https://www.ncbi.nlm.nih.gov/pubmed/37810965
http://dx.doi.org/10.3389/fonc.2023.1249932
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author Duan, Chen
Zhang, Yangjun
Li, Lu
Liu, Kai
Yao, Xiangyang
Wu, Xiaoliang
Li, Bo
Mao, Xiongmin
Wu, Huahui
Liu, Haoran
Zeng, Jin
Li, Sheng
Gong, Yan
Hu, Zhiquan
Xu, Hua
author_facet Duan, Chen
Zhang, Yangjun
Li, Lu
Liu, Kai
Yao, Xiangyang
Wu, Xiaoliang
Li, Bo
Mao, Xiongmin
Wu, Huahui
Liu, Haoran
Zeng, Jin
Li, Sheng
Gong, Yan
Hu, Zhiquan
Xu, Hua
author_sort Duan, Chen
collection PubMed
description BACKGROUND: Alternative splicing events (ASEs) are vital causes of tumor heterogeneity in genitourinary tumors and many other cancers. However, the clinicopathological relevance of ASEs in cancers has not yet been comprehensively characterized. METHODS: By analyzing splicing data from the TCGA SpliceSeq database and phenotype data for all TCGA samples from the UCSC Xena database, we identified differential clinical feature-related ASEs in 33 tumors. CIBERSORT immune cell infiltration data from the TIMER2.0 database were used for differential clinical feature-related immune cell infiltration analysis. Gene function enrichment analysis was used to analyze the gene function of ASEs related to different clinical features in tumors. To reveal the regulatory mechanisms of ASEs, we integrated race-related ASEs and splicing quantitative trait loci (sQTLs) data in kidney renal clear cell carcinoma (KIRC) to comprehensively assess the impact of SNPs on ASEs. In addition, we predicted regulatory RNA binding proteins in bladder urothelial carcinoma (BLCA) based on the enrichment of motifs around alternative exons for ASEs. RESULTS: Alternative splicing differences were systematically analyzed between different groups of 58 clinical features in 33 cancers, and 30 clinical features in 24 cancer types were identified to be associated with more than 50 ASEs individually. The types of immune cell infiltration were found to be significantly different between subgroups of primary diagnosis and disease type. After integrating ASEs with sQTLs data, we found that 63 (58.9%) of the race-related ASEs were significantly SNP-correlated ASEs in KIRC. Gene function enrichment analyses showed that metastasis-related ASEs in KIRC mainly enriched Rho GTPase signaling pathways. Among those ASEs associated with metastasis, alternative splicing of GIT2 and TUBB3 might play key roles in tumor metastasis in KIRC patients. Finally, we identified several RNA binding proteins such as PCBP2, SNRNP70, and HuR, which might contribute to splicing differences between different groups of neoplasm grade in BLCA. CONCLUSION: We demonstrated the significant clinical relevance of ASEs in multiple cancer types. Furthermore, we identified and validated alternative splicing of TUBB3 and RNA binding proteins such as PCBP2 as critical regulators in the progression of urogenital cancers.
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spelling pubmed-105570432023-10-07 Identification of alternative splicing associated with clinical features: from pan-cancers to genitourinary tumors Duan, Chen Zhang, Yangjun Li, Lu Liu, Kai Yao, Xiangyang Wu, Xiaoliang Li, Bo Mao, Xiongmin Wu, Huahui Liu, Haoran Zeng, Jin Li, Sheng Gong, Yan Hu, Zhiquan Xu, Hua Front Oncol Oncology BACKGROUND: Alternative splicing events (ASEs) are vital causes of tumor heterogeneity in genitourinary tumors and many other cancers. However, the clinicopathological relevance of ASEs in cancers has not yet been comprehensively characterized. METHODS: By analyzing splicing data from the TCGA SpliceSeq database and phenotype data for all TCGA samples from the UCSC Xena database, we identified differential clinical feature-related ASEs in 33 tumors. CIBERSORT immune cell infiltration data from the TIMER2.0 database were used for differential clinical feature-related immune cell infiltration analysis. Gene function enrichment analysis was used to analyze the gene function of ASEs related to different clinical features in tumors. To reveal the regulatory mechanisms of ASEs, we integrated race-related ASEs and splicing quantitative trait loci (sQTLs) data in kidney renal clear cell carcinoma (KIRC) to comprehensively assess the impact of SNPs on ASEs. In addition, we predicted regulatory RNA binding proteins in bladder urothelial carcinoma (BLCA) based on the enrichment of motifs around alternative exons for ASEs. RESULTS: Alternative splicing differences were systematically analyzed between different groups of 58 clinical features in 33 cancers, and 30 clinical features in 24 cancer types were identified to be associated with more than 50 ASEs individually. The types of immune cell infiltration were found to be significantly different between subgroups of primary diagnosis and disease type. After integrating ASEs with sQTLs data, we found that 63 (58.9%) of the race-related ASEs were significantly SNP-correlated ASEs in KIRC. Gene function enrichment analyses showed that metastasis-related ASEs in KIRC mainly enriched Rho GTPase signaling pathways. Among those ASEs associated with metastasis, alternative splicing of GIT2 and TUBB3 might play key roles in tumor metastasis in KIRC patients. Finally, we identified several RNA binding proteins such as PCBP2, SNRNP70, and HuR, which might contribute to splicing differences between different groups of neoplasm grade in BLCA. CONCLUSION: We demonstrated the significant clinical relevance of ASEs in multiple cancer types. Furthermore, we identified and validated alternative splicing of TUBB3 and RNA binding proteins such as PCBP2 as critical regulators in the progression of urogenital cancers. Frontiers Media S.A. 2023-09-25 /pmc/articles/PMC10557043/ /pubmed/37810965 http://dx.doi.org/10.3389/fonc.2023.1249932 Text en Copyright © 2023 Duan, Zhang, Li, Liu, Yao, Wu, Li, Mao, Wu, Liu, Zeng, Li, Gong, Hu and Xu 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
Duan, Chen
Zhang, Yangjun
Li, Lu
Liu, Kai
Yao, Xiangyang
Wu, Xiaoliang
Li, Bo
Mao, Xiongmin
Wu, Huahui
Liu, Haoran
Zeng, Jin
Li, Sheng
Gong, Yan
Hu, Zhiquan
Xu, Hua
Identification of alternative splicing associated with clinical features: from pan-cancers to genitourinary tumors
title Identification of alternative splicing associated with clinical features: from pan-cancers to genitourinary tumors
title_full Identification of alternative splicing associated with clinical features: from pan-cancers to genitourinary tumors
title_fullStr Identification of alternative splicing associated with clinical features: from pan-cancers to genitourinary tumors
title_full_unstemmed Identification of alternative splicing associated with clinical features: from pan-cancers to genitourinary tumors
title_short Identification of alternative splicing associated with clinical features: from pan-cancers to genitourinary tumors
title_sort identification of alternative splicing associated with clinical features: from pan-cancers to genitourinary tumors
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10557043/
https://www.ncbi.nlm.nih.gov/pubmed/37810965
http://dx.doi.org/10.3389/fonc.2023.1249932
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