Zhao Xinyuan, Si Shanshan, Li Xiaona, Sun Wenjuan, Cui Li
Stomatological Hospital, Southern Medical University, Guangzhou 510280, China.
Department of Stomatology, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China.
J Cancer. 2020 May 18;11(15):4571-4580. doi: 10.7150/jca.44746. eCollection 2020.
Increasing evidence has demonstrated that changes in alternative splicing (AS) events are closely associated with the initiation and progression of cancer. However, the concrete role of AS in tumorigenesis of head and neck squamous cell carcinoma (HNSCC) is poorly known. In this study, we aimed to investigate the AS profile in HNSCC, and build up a robust AS-based prognostic signature for HNSCC. Our results revealed a total of 4068 overall survival (OS) associated AS events in the TCGA HNSCC cohort. The whole TCGA HNSCC cohort was randomly divided into discovery cohort and validation cohort. A prognostic signature including five AS events was developed with the discovery cohort based on the most significant OS-associated AS events. Then it was further successfully validated in the validation cohort. The AS-based risk signature was an independent prognostic indicator in both discovery cohort and validation cohort. This prognostic signature-based nomogram model showed excellent performance for predicting the OS of HNSCC. Splicing network analysis have identified the most correlated splicing factor-AS network in HNSCC. Collectively, we have constructed a robust AS-based prognostic signature which might contribute to improve the clinical outcome of HNSCC.
越来越多的证据表明,可变剪接(AS)事件的变化与癌症的发生和发展密切相关。然而,AS在头颈部鳞状细胞癌(HNSCC)肿瘤发生中的具体作用尚不清楚。在本研究中,我们旨在研究HNSCC中的AS谱,并建立一个强大的基于AS的HNSCC预后特征。我们的结果显示,在TCGA HNSCC队列中共有4068个与总生存期(OS)相关的AS事件。整个TCGA HNSCC队列被随机分为发现队列和验证队列。基于发现队列中最显著的与OS相关的AS事件,开发了一个包含五个AS事件的预后特征。然后在验证队列中进一步成功验证。基于AS的风险特征在发现队列和验证队列中都是独立的预后指标。这种基于预后特征的列线图模型在预测HNSCC的OS方面表现出色。剪接网络分析确定了HNSCC中最相关的剪接因子-AS网络。总体而言,我们构建了一个强大的基于AS的预后特征,这可能有助于改善HNSCC的临床结局。