AUTHOR=Zhang He , Han Baoai , Han Xingxing , Zhu Yuying , Liu Hui , Wang Zhiyong , Cui Yanfen , Tian Ran , Gao Zicong , Tian Ruinan , Ren Sixin , Zuo Xiaoyan , Tian Jianfei , Zhang Fei , Niu Ruifang 

TITLE=Comprehensive Analysis of Splicing Factor and Alternative Splicing Event to Construct Subtype-Specific Prognosis-Predicting Models for Breast Cancer

JOURNAL=Frontiers in Genetics

VOLUME=12

YEAR=2021

URL=https://www.frontiersin.org/journals/genetics/articles/10.3389/fgene.2021.736423

DOI=10.3389/fgene.2021.736423

ISSN=1664-8021

ABSTRACT=<p>Recent evidence suggests that splicing factors (SFs) and alternative splicing (AS) play important roles in cancer progression. We constructed four SF-risk-models using 12 survival-related SFs. In Luminal-A, Luminal-B, Her-2, and Basal-Like BRCA, SF-risk-models for three genes (<italic>PAXBP1</italic>, <italic>NKAP</italic>, and <italic>NCBP2</italic>), four genes (<italic>RBM15B</italic>, <italic>PNN</italic>, <italic>ACIN1</italic>, and <italic>SRSF8</italic>), three genes (<italic>LSM3</italic>, <italic>SNRNP200</italic>, and <italic>SNU13</italic>), and three genes (<italic>SRPK3</italic>, <italic>PUF60</italic>, and <italic>PNN</italic>) were constructed. These models have a promising prognosis-predicting power. The co-expression and protein-protein interaction analysis suggest that the 12 SFs are highly functional-connected. Pathway analysis and gene set enrichment analysis suggests that the functional role of the selected 12 SFs is highly context-dependent among different BRCA subtypes. We further constructed four AS-risk-models with good prognosis predicting ability in four BRCA subtypes by integrating the four SF-risk-models and 21 survival-related AS-events. This study proposed that SFs and ASs were potential multidimensional biomarkers for the diagnosis, prognosis, and treatment of BRCA.</p>