Genetic Markers in Triple-Negative Breast Cancer
Language English Country United States Media print-electronic
Document type Journal Article, Review
PubMed
30146351
DOI
10.1016/j.clbc.2018.07.023
PII: S1526-8209(18)30093-4
Knihovny.cz E-resources
- Keywords
- BRCA, Predictor, Prognosis, Targeted therapy, p53,
- MeSH
- Molecular Targeted Therapy MeSH
- Genes, Neoplasm genetics MeSH
- Humans MeSH
- Neoplasm Recurrence, Local genetics therapy MeSH
- Mutation MeSH
- Biomarkers, Tumor genetics MeSH
- Prognosis MeSH
- Gene Expression Regulation, Neoplastic genetics MeSH
- Triple Negative Breast Neoplasms classification genetics therapy MeSH
- Check Tag
- Humans MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Review MeSH
- Names of Substances
- Biomarkers, Tumor MeSH
Triple-negative breast cancer (TNBC) accounts for 15% to 20% of breast cancer cases and is characterized by the absence of estrogen, progesterone, and human epidermal growth factor 2 receptors. Though TNBC is a highly heterogenic and aggressive disease, TNBC patients have better response to neoadjuvant therapy compared to other breast cancer subtypes. Nevertheless, patients with residual disease have a very poor prognosis, with higher probability of relapse and lower overall survival in the first years after diagnosis. TNBC has 6 subtypes with distinct molecular signatures with different prognoses and probably different responses to therapy. The precise stratification of TNBC is therefore crucial for the development of potent standardized and targeted therapies. In spite of intensive research into finding new molecular biomarkers and designing personalized therapeutic approaches, BRCA mutational status is the only clinically validated biomarker for personalized therapy in TNBC. Recent studies have reported several promising biomarkers that are currently being validated through clinical trials. The objective of this review was to summarize the clinically relevant genetic markers for TNBC that could serve as diagnostic, prognostic, or predictive or could improve personalized therapeutic strategies.
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