BRAF Expression and Copy Number Alterations Predict Unfavorable Tumor Features and Adverse Outcomes in Patients With Breast Cancer.
Yazan R AlhamdanNehad M AyoubSara K JaradatAymen ShatnawiRami J YaghanPublished in: International journal of breast cancer (2024)
Background: The role of BRAF in breast cancer pathogenesis is still unclear. To address this knowledge gap, this study is aimed at evaluating the impact of BRAF gene expression and copy number alterations (CNAs) on clinicopathologic characteristics and survival in patients with breast cancer. Methods: The Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) dataset was obtained from the cBioPortal public domain. Tumoral BRAF mRNA expression and CNAs along with demographic and tumor data for patients with breast cancer were retrieved. The association of BRAF expression and CNAs with breast cancer clinicopathologic characteristics was analyzed. The impact of BRAF mRNA expression on the overall survival of patients was assessed using Kaplan-Meier survival analysis. Results: BRAF gene mRNA log intensity expression was positively correlated with tumor size and the Nottingham Prognostic Index (NPI) ( p < 0.001). Alternatively, BRAF gene expression was negatively correlated with the age at diagnosis ( p = 0.003). The average BRAF mRNA expression was significantly higher in premenopausal patients, patients with high tumor grade, hormone receptor-negative status, and non-luminal tumors compared to postmenopausal patients, patients with low-grade, hormone receptor-positive, and luminal disease. BRAF gain and high-level amplification copy numbers were significantly associated with higher NPI scores and larger tumor sizes compared to neutral copy number status. Survival analysis revealed no discernible differences in overall survival for patients with low and high BRAF mRNA expression. Conclusion: High BRAF mRNA expression as well as the gain and high-level amplification copy numbers were associated with advanced tumor characteristics and unfavorable prognostic factors in breast cancer. BRAF could be an appealing target for the treatment of premenopausal patients with hormone receptor-negative breast cancer.
Keyphrases
- copy number
- metastatic colorectal cancer
- prognostic factors
- wild type
- mitochondrial dna
- gene expression
- end stage renal disease
- genome wide
- newly diagnosed
- dna methylation
- ejection fraction
- low grade
- chronic kidney disease
- healthcare
- poor prognosis
- peritoneal dialysis
- mental health
- binding protein
- young adults
- breast cancer risk
- machine learning
- transcription factor
- long non coding rna
- artificial intelligence
- patient reported
- postmenopausal women
- single cell
- nucleic acid
- big data
- label free