Identification of SRSF10 as a promising prognostic biomarker with functional significance among SRSFs for glioma

被引:3
作者
An, Wenzhe [1 ]
Yang, Qingqing [1 ]
Xi, Yunlan [1 ]
Pan, Hongli [2 ]
Huang, Hua [2 ]
Chen, Qiang [3 ,4 ]
Wang, Yixuan [2 ]
Hua, Dan [1 ]
Shi, Cuijuan [1 ]
Wang, Qian [1 ]
Sun, Cuiyun [1 ]
Luo, Wenjun [1 ]
Li, Xuebing [2 ,5 ]
Yu, Shizhu [1 ,5 ]
Zhou, Xuexia [1 ,5 ]
机构
[1] Tianjin Med Univ Gen Hosp, Tianjin Neurol Inst, Dept Neuropathol,Key Lab Posttrauma Neurorepair &, Tianjin Key Lab Injuries Variat & Regenerat Nervou, Tianjin, Peoples R China
[2] Tianjin Med Univ Gen Hosp, Tianjin Lung Canc Inst, Dept Lung Canc Surg, Tianjin Key Lab Lung Canc Metastasis & Tumor Micro, Tianjin, Peoples R China
[3] Tianjin Med Univ, Tianjin Canc Inst & Hosp,Natl Clin Res Ctr Canc, Tianjin Lung Canc Ctr,Tianjin Key Lab Canc Prevent, Tianjins Clin Res Ctr Canc,Dept Thorac Oncol, Tianjin, Peoples R China
[4] Tianjin Chest Hosp, Dept Resp & Crit Med, Tianjin, Peoples R China
[5] Tianjin Med Univ Gen Hosp, Tianjin Neurol Inst, Dept Neuropathol, 154 Anshan Rd, Tianjin 300052, Peoples R China
基金
中国国家自然科学基金;
关键词
Glioma; SRSF family; Prognosis; Bioinformatics; Experimental validation; CENTRAL-NERVOUS-SYSTEM; CLASSIFICATION; MECHANISMS; EXPRESSION; TUMORS;
D O I
10.1016/j.lfs.2023.122392
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
Aims The serine/arginine-rich splicing factor (SRSF) protein family members are essential mediators of the alternative splicing (AS) regulatory network, which is tightly implicated in cancer progression. However, the expression, clinical correlation, immune infiltration, and prognostic value of SRSFs in gliomas remain unclear. Materials and methods Glioma samples were extracted from The Cancer Genome Atlas (TCGA) and Chinese Glioma Genome Atlas (CGGA) datasets. Several databases, such as HPA, DAVID, UALCAN were used to comprehensively explore the roles of SRSFs. In addition, experimental validation of SRSF10 was also conducted. Key findings Here, we found the expression alterations of the SRSF family in glioma samples using data from the TCGA and CGGA_325 datasets. Among the 12 genes, most were found to be closely associated with glioma clinical features, which linked to poor prognosis in glioma patients. Interestingly, survival analysis identified only SRSF10 as a potential independent risk prognostic biomarker for glioma patients. Immune analysis indicated that glioma patients with high SRSF10 expression may respond well to immunotherapies targeting immune checkpoint (ICP) genes. Finally, knocking down SRSF10 reduced glioma cell viability, induced G1 cell cycle arrest, and induced the exclusion of bcl-2-associated transcription factor 1 (BCLAF1) exon 5a. Significance Overall, this study uncovers the oncogenic roles of most SRSF family members in glioma, with the exception of SRSF5, while highlighting SRSF10 as a potential novel independent prognostic biomarker for glioma.
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页数:14
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