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

• Published in: Frontiers in oncology Vol. 13; p. 1249932
• Main Authors: 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
• Format: Journal Article
• Language: English
• Published: Frontiers Media S.A 25-09-2023
• Subjects: alternative splicing; clinical features; genitourinary tumors; Oncology; pan-cancers; tumor heterogeneity
• ISSN: 2234-943X; 2234-943X
• DOI: 10.3389/fonc.2023.1249932

BackgroundAlternative 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.MethodsBy 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.ResultsAlternative 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.ConclusionWe 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.