Weiwei Liang1, Fangfang Sun2. 1. Department of Endocrinology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China. 2. Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education, The Second Affiliated Hospital, Cancer Institute, Zhejiang University School of Medicine, Hangzhou, China.
Abstract
Background: This paper aims to identify alternative RNA splicing landscape and its prognostic value in adrenocortical carcinoma. Methods: The alternative splicing events data with corresponding clinical information data of 79 ACC patients were obtained from the Cancer Genome Atlas and SpliceSeq package. Prognosis-associated AS events by using univariate Cox regression analysis were selected. Gene functional enrichment analysis demonstrated the potential pathways enriched by survival-associated AS. Prognosis-related splicing events were submitted to develop moderate predictors using Lasso regression model. Results: One thousand five survival-associated alternative splicing events were identified. The prognostic genes included ATXN2L, MEIS1, IKBKB, COX4I1. Functional enrichment analysis suggested that prognostic splicing events are associated with Wnt signaling pathway. A prediction model including 12 alternative splicing events was constructed by Lasso regression using train set. ROC analysis showed good performance of the prediction model in test set. Then, a nomogram integrating the clinical-pathological factors and riskscore was constructed for predicting 1- and 3-year survival rate. Conclusion: Our data provide a comprehensive bioinformatics analysis of AS events in ACC, providing biomarkers for disease progression and a potentially rich source of novel therapeutic targets.
Background: This paper aims to identify alternative RNA splicing landscape and its prognostic value in adrenocortical carcinoma. Methods: The alternative splicing events data with corresponding clinical information data of 79 ACC patients were obtained from the Cancer Genome Atlas and SpliceSeq package. Prognosis-associated AS events by using univariate Cox regression analysis were selected. Gene functional enrichment analysis demonstrated the potential pathways enriched by survival-associated AS. Prognosis-related splicing events were submitted to develop moderate predictors using Lasso regression model. Results: One thousand five survival-associated alternative splicing events were identified. The prognostic genes included ATXN2L, MEIS1, IKBKB, COX4I1. Functional enrichment analysis suggested that prognostic splicing events are associated with Wnt signaling pathway. A prediction model including 12 alternative splicing events was constructed by Lasso regression using train set. ROC analysis showed good performance of the prediction model in test set. Then, a nomogram integrating the clinical-pathological factors and riskscore was constructed for predicting 1- and 3-year survival rate. Conclusion: Our data provide a comprehensive bioinformatics analysis of AS events in ACC, providing biomarkers for disease progression and a potentially rich source of novel therapeutic targets.
Authors: Yingbin Huang; Guangyu Chen; Yang Wang; Rui He; Jun Du; Xingyuan Jiao; Qiang Tai Journal: Biochem Biophys Res Commun Date: 2018-08-02 Impact factor: 3.575
Authors: María Ángeles Peinado; David Ovelleiro; María Luisa Del Moral; Raquel Hernández; Esther Martínez-Lara; Eva Siles; José Rafael Pedrajas; María Luisa García-Martín; Carlos Caro; Sebastián Peralta; María Encarnación Morales; María Adolfina Ruiz; Santos Blanco Journal: Int J Mol Sci Date: 2021-12-27 Impact factor: 5.923