TRAF6 as a potential target in advanced breast cancer: a systematic review, meta-analysis, and bioinformatics

Feier Zeng1, Giovana Carrasco1, Boya Li1

  • 1Department of Oncology and Metabolism, Medical School, University of Sheffield, Beech Hill Road, Sheffield, S10 2RX, UK.

Scientific Reports
|March 22, 2023
PubMed

Insights

Tumor necrosis factor receptor-associated factor 6 (TRAF6) inhibitors show promise for treating metastatic breast cancer (BCa). While TRAF2/4 and TRAF6 inhibition reduce BCa cell migration and invasion, only TRAF6 inhibition impacts BCa cell growth and metastasis.

Area of Science:

  • Oncology
  • Molecular Biology
  • Pharmacology

Background:

  • Breast cancer (BCa) is a significant health concern, with the TRAF family of proteins playing a key role in its regulation.
  • Understanding the specific roles of TRAF family members is crucial for identifying effective therapeutic targets in BCa treatment.

Approach:

  • A comprehensive meta-analysis was conducted, searching Medline, Web of Science, and Scopus databases for studies on TRAF family members and BCa.
  • The analysis included in vitro, in vivo, and human studies, focusing on the impact of TRAF inhibition on BCa cell migration, invasion, adhesion, and growth.
  • Pharmacological studies investigated the effects of TRAF2/4 and TRAF6 inhibition on tumor burden and metastasis in animal models, alongside clinical data on TRAF6 expression and patient survival.

Key Points:

  • In vitro inhibition of TRAF2/4 and TRAF6 significantly reduced BCa cell migration and invasion.
  • TRAF6 inhibition uniquely decreased BCa cell growth and metastasis in vitro and in vivo.
  • High TRAF6 expression in BCa patients correlated with poor survival rates and bone metastasis.

Conclusions:

  • TRAF6 emerges as a critical regulator in breast cancer progression and metastasis.
  • TRAF6 inhibitors demonstrate potential as a therapeutic strategy for metastatic breast cancer.
  • Further research with larger study numbers and more extensive animal and human data is needed to translate these findings into clinical practice.