GBP5 Serves as a Potential Marker to Predict a Favorable Response in Triple-Negative Breast Cancer Patients Receiving a Taxane-Based Chemotherapy.
Shun-Wen ChengPo-Chih ChenTzong-Rong GerHui-Wen ChiuYuan-Feng LinPublished in: Journal of personalized medicine (2021)
Pre-operative (neoadjuvant) or post-operative (adjuvant) taxane-based chemotherapy is still commonly used to treat patients with triple-negative breast cancer (TNBC). However, there are still no effective biomarkers used to predict the responsiveness and efficacy of taxane-based chemotherapy in TNBC patients. Here we find that guanylate-binding protein 5 (GBP5), compared to other GBPs, exhibits the strongest prognostic significance in predicting TNBC recurrence and progression. Whereas GBP5 upregulation showed no prognostic significance in non-TNBC patients, a higher GBP5 level predicted a favorable recurrence and progression-free condition in the TNBC cohort. Moreover, we found that GBP5 expression negatively correlated with the 50% inhibitory concentration (IC50) of paclitaxel in a panel of TNBC cell lines. The gene knockdown of GBP5 increased the IC50 of paclitaxel in the tested TNBC cells. In TNBC patients receiving neoadjuvant or adjuvant chemotherapy, a higher GBP5 level strongly predicted a good responsiveness. Computational simulation by the Gene Set Enrichment Analysis program and cell-based assays demonstrated that GBP5 probably enhances the cytotoxic effectiveness of paclitaxel via activating the Akt/mTOR signaling axis and suppressing autophagy formation in TNBC cells. These findings suggest that GBP5 could be a good biomarker to predict a favorable outcome in TNBC patients who decide to receive a taxane-based neoadjuvant or adjuvant therapy.
Keyphrases
- locally advanced
- signaling pathway
- rectal cancer
- induced apoptosis
- end stage renal disease
- newly diagnosed
- ejection fraction
- lymph node
- binding protein
- cell proliferation
- poor prognosis
- prognostic factors
- squamous cell carcinoma
- cell death
- gene expression
- stem cells
- climate change
- risk assessment
- single cell
- cell therapy
- dna methylation
- chemotherapy induced
- patient reported outcomes
- quality improvement
- patient reported
- data analysis