10.3389/fonc.2019.00773.s004
Min Yu
Min
Yu
Weifeng Hong
Weifeng
Hong
Shiye Ruan
Shiye
Ruan
Renguo Guan
Renguo
Guan
Lei Tu
Lei
Tu
Bowen Huang
Bowen
Huang
Baohua Hou
Baohua
Hou
Zhixiang Jian
Zhixiang
Jian
Liheng Ma
Liheng
Ma
Haosheng Jin
Haosheng
Jin
Image_4_Genome-Wide Profiling of Prognostic Alternative Splicing Pattern in Pancreatic Cancer.TIF
Frontiers
2019
alternative splicing
TCGA
pancreatic cancer
prognosis
driver gene
2019-08-27 04:43:55
Figure
https://frontiersin.figshare.com/articles/figure/Image_4_Genome-Wide_Profiling_of_Prognostic_Alternative_Splicing_Pattern_in_Pancreatic_Cancer_TIF/9734618
<p>Alternative splicing (AS) has a critical role in tumor progression and prognosis. Our study aimed to investigate pancreatic cancer-specific AS events using RNA-seq data, gaining systematic insights into potential prognostic predictors. We downloaded 10,623 genes with 45,313 pancreatic cancer-specific AS events from the Cancer Genome Atlas (TCGA) and SpliceSeq database. Cox univariate analyses of overall survival suggested there was a remarkable association between 6,711 AS events and overall survival in pancreatic cancer patients (P < 0.05). The area under the curves (AUC) of the receiver operator characteristic curves (ROC) of risk score was 0.89 for final prognostic predictor. Results indicated that AS events of DAZAP1, RBM4, ESRP1, QKI, and SF1 were significantly associated with overall survival. The results of FunRich showed that transcription factors KLF7, GABPA, and SP1 were the most highly related to survival-associated AS genes. Furthermore, using DriverDBv2, we identified 13 driver genes associated with survival-associated AS events, including TP53 and CDC27. Thus, we concluded that the aberrant AS patterns in pancreatic cancer patients might serve as prognostic predictors.</p>