Systematic Profiling of Alternative Splicing Events in Ovarian Cancer

被引：7
作者：
Liu, Jia [1 ]
Lv, Dekang [2 ]
Wang, Xiaobin [1 ]
Wang, Ruicong [3 ]
Li, Xiaodong [2 ]
机构：
[1] China Med Univ, Dept Gynecol, Liaoning Canc Hosp & Inst, Canc Hosp, Shenyang, Peoples R China
[2] Dalian Med Univ, Canc Ctr, Inst Canc Stem Cell, Dalian, Peoples R China
[3] Dalian Med Univ, Dept Gynecol & Obster, Affiliated Hosp 1, Dalian, Peoples R China
来源：
FRONTIERS IN ONCOLOGY | 2021年 / 11卷
关键词：
ovarian cancer; alternative splicing; integrated prognostic model; LASSO; splicing factor; IGF2BP3; IMP3; CLN3; GENE; PROLIFERATION; CARCINOMA; PROGNOSIS; SIGNATURE; TARGET;
D O I：
10.3389/fonc.2021.622805
中图分类号：
R73 [肿瘤学];
学科分类号：
100214 ;
摘要：
Alternative splicing (AS) is significantly related to the development of tumor and the clinical outcome of patients. In this study, our aim was to systematically analyze the survival-related AS signal in ovarian serous cystadenocarcinoma (OV) and estimate its prognostic validity in 48,049 AS events out of 21,854 genes. We studied 1,429 AS events out of 1,125 genes, which were significantly related to the overall survival (OS) in patients with OV. We established alternative splicing features on the basis of seven AS events and constructed a new comprehensive prognostic model. Kaplan-Meier curve analysis showed that seven AS characteristics and comprehensive prognostic models could strongly stratify patients with ovarian cancer and make them distinctive prognosis. ROC analysis from 0.781 to 0.888 showed that these models were highly efficient in distinguishing patient survival. We also verified the prognostic characteristics of these models in a testing cohort. In addition, uni-variate and multivariate Cox analysis showed that these models were superior independent risk factors for OS in patients with OV. Interestingly, AS events and splicing factor (SFs) networks revealed an important link between these prognostic alternative splicing genes and splicing factors. We also found that the comprehensive prognosis model signature had higher prediction ability than the mRNA signature. In summary, our study provided a possible prognostic prediction model for patients with OV and revealed the splicing network between AS and SFs, which could be used as a potential predictor and therapeutic target for patients with OV.
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页数：11
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