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Upregulated cyclins may be novel genes for triple-negative breast cancer based on bioinformatic analysis

Yongbin Lu1,2, Gang Yang3, Yi Xiao4

  • 1Scientific Development and Planning Department, The First Hospital of Lanzhou University, Lanzhou, China.

Breast Cancer (Tokyo, Japan)
|April 28, 2020
PubMed
Abstract

Insights

Triple-negative breast cancer (TNBC) molecular mechanisms were studied using gene expression data. Cyclin CDK1, CCNB1, and CCNA2 were identified as key genes overexpressed in TNBC, correlating with poor survival outcomes.

Area of Science:

  • Oncology
  • Genomics
  • Molecular Biology

Background:

  • Triple-negative breast cancer (TNBC) is a significant cause of cancer-related mortality in females worldwide.
  • The underlying molecular mechanisms of TNBC require further elucidation.

Purpose of the Study:

  • To identify differentially expressed genes (DEGs) in TNBC compared to normal tissues.
  • To investigate the prognostic significance of identified DEGs in TNBC patients.

Main Methods:

  • Analysis of public microarray and high-throughput sequencing data from the GEO database.
  • Functional and pathway enrichment analysis of DEGs using Funrich software.
  • Construction of a protein-protein interaction (PPI) network and identification of hub genes using STRING and Cytoscape.
  • Survival analysis (overall survival and progression-free survival) using the KM plotter.

Main Results:

  • Identified 1638 DEGs, including 984 upregulated and 654 downregulated genes.
  • Cyclin-dependent kinase 1 (CDK1), cyclin B1 (CCNB1), and cyclin A2 (CCNA2) emerged as top hub genes in the PPI network and were enriched in the cell cycle pathway.
  • Overexpression of CDK1, CCNB1, CCNA2, and PLK1 correlated with worse overall survival in breast cancer.
  • High CCNB1 expression was associated with worse progression-free survival in TNBC (HR=1.42, P=0.028).

Conclusions:

  • CDK1, CCNB1, and CCNA2 are significantly overexpressed in TNBC.
  • These cyclins demonstrate potential as novel biomarkers for TNBC diagnosis and therapeutic targeting.
Keywords:
BiomarkersCCNA2CCNB1CDK1Triple-negative breast cancer

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