Multi-Omics Characterization of E3 Regulatory Patterns in Different Cancer Types

Zhongyan Li1, Jingting Wan1, Shangfu Li1

  • 1Warshel Institute for Computational Biology, School of Medicine, The Chinese University of Hong Kong, Shenzhen 518172, China.

Insights

E3 ubiquitin ligases are often overexpressed in cancers, altering protein degradation and promoting tumor growth. Analyzing these ligases with multi-omics data can identify new cancer biomarkers and drug targets.

Area of Science:

  • Biochemistry
  • Molecular Biology
  • Oncology

Background:

  • Ubiquitination is a critical post-translational modification regulating protein degradation and cellular processes.
  • E3 ubiquitin ligases dictate substrate specificity in ubiquitination.
  • Dysregulated ubiquitination is implicated in cancer development and progression.

Purpose of the Study:

  • To investigate E3 ligase expression patterns across 12 cancer types.
  • To characterize E3-substrate regulatory networks using multi-omics data in lung squamous cell carcinoma.
  • To identify potential prognostic biomarkers and therapeutic targets in cancer.

Main Methods:

  • Analysis of E3 ligase protein expression in tumor and normal tissues.
  • Correlation analysis of E3 ligase and substrate protein expression.
  • Integration of transcriptome, proteome, and ubiquitylome data for lung squamous cell carcinoma.

Main Results:

  • E3 ligases show increased expression and reduced tissue specificity in tumors.
  • Altered E3-substrate interactions were observed in cancer.
  • Upregulation of SKP2 promotes BRCA2 degradation, enhancing tumor proliferation.
  • Upregulation of TRIM33 correlates with favorable prognosis by inhibiting the cell cycle.

Conclusions:

  • Multi-omics analysis of E3 ligases reveals altered regulatory patterns in cancer.
  • E3 ligases like TRIM33 can serve as prognostic biomarkers.
  • Understanding E3 ligase function offers opportunities for novel cancer therapies.

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