Computational and Structural Biotechnology Journal (Jan 2022)

Regulatory patterns analysis of transcription factor binding site clustered regions and identification of key genes in endometrial cancer

  • Xiaohan Tang,
  • Junting Wang,
  • Huan Tao,
  • Lin Yuan,
  • Guifang Du,
  • Yang Ding,
  • Kang Xu,
  • Xuemei Bai,
  • Yaru Li,
  • Yu Sun,
  • Xin Huang,
  • Xiushuang Zheng,
  • Qianqian Li,
  • Bowen Gong,
  • Yang Zheng,
  • Jingxuan Xu,
  • Xiang Xu,
  • Zhe Wang,
  • Xiaochen Bo,
  • Meisong Lu,
  • Hao Li,
  • Hebing Chen

Journal volume & issue
Vol. 20
pp. 812 – 823

Abstract

Read online

Endometrial cancer (EC) is one of the three fatal tumors of the female reproductive system. Epigenetic alterations have been reported to be important in tumorigenesis, especially the chromatin accessibility changes and transcription factor binding differences. However, the regulatory mechanism underlying epigenetic alterations in EC development remains unclear. Here, we identified and characterized transcription factor binding site clustered regions (TFCRs) by integrating chromatin accessibility and transcription factor binding information. We totally identified 78,820 TFCRs and explored the relationship between TFCRs and regulatory elements, gene expression and mutation. Finally, we constructed a bioinformatic framework to identify candidate oncogenes and screened 13 candidate key genes, which may serve as potential diagnostic markers or therapeutic targets of EC.

Keywords