- Author:
Chuan-Jie ZHANG
1
;
Zong-Tai LI
2
;
Kan-Jie SHEN
3
;
Lu CHEN
1
;
Dan-Feng XU
1
;
Yi GAO
1
Author Information
- Publication Type:Research Support, Non-U.S. Gov't
- Keywords: alternative splicing events; network; progression-free survival-related model; testicular germ cell tumor
- From: Asian Journal of Andrology 2021;23(3):259-265
- CountryChina
- Language:English
- Abstract: Accumulating evidence supports the significance of aberrant alternative splicing (AS) events in cancer; however, genome-wide profiling of progression-free survival (PFS)-related AS events in testicular germ cell tumors (TGCT) has not been reported. Here, we analyzed high-throughput RNA-sequencing data and percent-spliced-in values for 150 patients with TGCT. Using univariate and multivariate Cox regression analysis and a least absolute shrinkage and selection operator method, we identified the top 15 AS events most closely associated with disease progression. A risk-associated AS score (ASS) for the 15 AS events was calculated for each patient. ASS, pathological stage, and T stage were significantly associated with disease progression by univariate analysis, but only ASS and pathological stage remained significant by multivariate analysis. The ability of these variables to predict 5-year progression was assessed using receiver operating characteristic curve analysis. ASS had stronger predictive value than a combination of age, pathological stage, and T stage (area under the curve = 0.899 and 0.715, respectively). Furthermore, Kaplan-Meier analysis of patients with low and high ASS demonstrated that high ASS was associated with significantly worse PFS than low ASS (P = 1.46 × 10