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Updated: Feb 6, 2026

Studying Triple Negative Breast Cancer Using Orthotopic Breast Cancer Model
09:29

Studying Triple Negative Breast Cancer Using Orthotopic Breast Cancer Model

Published on: March 20, 2020

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Identification of potential core genes in triple negative breast cancer using bioinformatics analysis

Man-Xiu Li1, Li-Ting Jin1, Tie-Jun Wang1

  • 1Department of Breast Cancer, Hubei Cancer Hospital, Wuhan, People's Republic of China, 39390822@qq.com.

Oncotargets and Therapy
|August 25, 2018
PubMed
Abstract

Insights

Triple-negative breast cancer (TNBC) has limited treatment options. This study identified CCNB1 as a potential therapeutic target, showing its overexpression is linked to poor outcomes in TNBC patients.

Area of Science:

  • Oncology
  • Genomics
  • Bioinformatics

Background:

  • Triple-negative breast cancer (TNBC) presents a significant clinical challenge due to its aggressive nature and limited targeted therapies.
  • Current treatment for TNBC primarily relies on chemotherapy, highlighting the urgent need for novel therapeutic strategies.
  • Identifying specific molecular targets is crucial for improving TNBC patient outcomes.

Purpose of the Study:

  • To identify potential therapeutic targets for triple-negative breast cancer.
  • To analyze gene expression profiles and identify differentially expressed genes (DEGs) in TNBC.
  • To evaluate the prognostic significance of identified genes in breast cancer.

Main Methods:

  • Analysis of three Gene Expression Omnibus (GEO) microarray datasets (GSE38959, GSE45827, GSE65194) using GEO2R.
  • Functional and pathway enrichment analysis of DEGs via DAVID.
  • Protein-protein interaction network construction using STRING and visualized with Cytoscape.
  • Prognostic value assessment using the Kaplan-Meier plotter.

Main Results:

  • Identification of 278 upregulated and 173 downregulated DEGs between TNBC and normal tissues.
  • Ten hub genes with high connectivity were identified from the DEG analysis.
  • Overexpression of these hub genes, particularly CCNB1, was significantly associated with unfavorable prognosis in breast cancer patients, especially in TNBC.

Conclusions:

  • CCNB1 is significantly overexpressed in triple-negative breast cancer compared to normal breast tissue.
  • Overexpression of CCNB1 serves as an unfavorable prognostic factor for TNBC patients.
  • CCNB1 warrants further investigation as a potential therapeutic target for TNBC treatment.
Keywords:
CCNB1expression profiling datahub genestriple-negative breast cancer

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