Frontiers in Genetics (Sep 2021)

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

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

DOI
https://doi.org/10.3389/fgene.2021.736423
Journal volume & issue
Vol. 12

Abstract

Read online

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 (PAXBP1, NKAP, and NCBP2), four genes (RBM15B, PNN, ACIN1, and SRSF8), three genes (LSM3, SNRNP200, and SNU13), and three genes (SRPK3, PUF60, and PNN) 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.

Keywords