Interleukin-3-Receptor-α in Triple-Negative Breast Cancer (TNBC): An Additional Novel Biomarker of TNBC Aggressiveness and a Therapeutic Target.
Malvina KoniIsabella CastellanoEmilio VenturelliAlessandro SarcinellaTatiana LopatinaCristina GrangeMassimo CedrinoSaveria FemminòPaolo Cossu-RoccaSandra OrrùFabrizio D'AscenzoIlaria CotellessaCristian TampieriCarla DebernardiGiovanni CugliariGiuseppe MatulloGiovanni CamussiMaria Rosaria De MiglioMaria Felice BrizziPublished in: Cancers (2022)
Tumour molecular annotation is mandatory for biomarker discovery and personalised approaches, particularly in triple-negative breast cancer (TNBC) lacking effective treatment options. In this study, the interleukin-3 receptor α (IL-3Rα) was investigated as a prognostic biomarker and therapeutic target in TNBC. IL-3Rα expression and patients' clinical and pathological features were retrospectively analysed in 421 TNBC patients. IL-3Rα was expressed in 69% human TNBC samples, and its expression was associated with nodal metastases ( p = 0.026) and poor overall survival (hazard ratio = 1.50; 95% CI = 1.01-2.2; p = 0.04). The bioinformatics analysis on the Breast Invasive Carcinoma dataset of The Cancer Genome Atlas (TCGA) proved that IL-3Rα was highly expressed in TNBC compared with luminal breast cancers ( p = 0.017, p adj = 0.026). Functional studies demonstrated that IL-3Rα activation induced epithelial-to-endothelial and epithelial-to-mesenchymal transition, promoted large blood lacunae and lung metastasis formation, and increased programmed-cell death ligand-1 (PD-L1) in primary tumours and metastases. Based on the TCGA data, IL-3Rα, PD-L1, and EMT coding genes were proposed to discriminate against TNBC aggressiveness (AUC = 0.86 95% CI = 0.82-0.89). Overall, this study identified IL-3Rα as an additional novel biomarker of TNBC aggressiveness and provided the rationale to further investigate its relevance as a therapeutic target.
Keyphrases
- end stage renal disease
- newly diagnosed
- ejection fraction
- poor prognosis
- chronic kidney disease
- endothelial cells
- bioinformatics analysis
- small molecule
- peritoneal dialysis
- squamous cell carcinoma
- high throughput
- epithelial mesenchymal transition
- electronic health record
- long non coding rna
- single cell
- radiation therapy
- deep learning
- rectal cancer
- patient reported
- drug induced
- case control