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PIK3CA mutations and BRCA1 expression in breast cancer: potential biomarkers for chemoresistance
Mariacarmela Santarpia1, Giuseppe Altavilla, Mireia Margeli
1Human Pathology Department, Medical Oncology Unit, University of Messina, Italy.
Abstract:
Mutations in PIK3CA and alterations of BRCA1 expression are common in breast cancer and have been correlated with altered sensitivity to taxanes in human cancer cell lines and with outcome of patients. We assessed mutations in the three hotspots of PIK3CA (E542K, E545K and H1047R) and intratumoral BRCA1 mRNA expression by quantitative RT-PCR in 61 breast cancer patients. Mutations of PIK3CA were found in 17 (27.9%) and did not correlate with BRCA1 transcript levels. Correlation with clinical and pathological features identified a significant association of mutations with older patients (P = 0.03). Higher BRCA1 mRNA expression was significantly correlated with advanced disease (P = 0.01) and ERBB2 overexpression (P = 0.02). These findings may help to identify a subgroup of patients who will likely benefit from chemotherapy regimens containing microtubule-disrupting agents.
Insights
PIK3CA mutations are common in breast cancer and linked to older patients. Higher BRCA1 mRNA expression correlates with advanced disease and ERBB2 overexpression, potentially guiding taxane chemotherapy selection.
Area of Science:
- Oncology
- Molecular Biology
- Genetics
Background:
- PIK3CA mutations and BRCA1 alterations are frequent in breast cancer.
- These genetic changes may influence taxane sensitivity and patient outcomes.
Purpose of the Study:
- To investigate the relationship between PIK3CA mutations and BRCA1 mRNA expression in breast cancer patients.
- To correlate these genetic factors with clinical and pathological features.
Main Methods:
- Genomic DNA was analyzed for PIK3CA mutations at hotspots (E542K, E545K, H1047R).
- Intratumoral BRCA1 mRNA expression was quantified using quantitative RT-PCR.
- Data from 61 breast cancer patients were analyzed.
Main Results:
- PIK3CA mutations were identified in 27.9% of patients and did not correlate with BRCA1 levels.
- PIK3CA mutations showed a significant association with older patient age (P = 0.03).
- Higher BRCA1 mRNA expression correlated with advanced disease (P = 0.01) and ERBB2 overexpression (P = 0.02).
Conclusions:
- These genetic markers may help stratify breast cancer patients.
- Findings could aid in identifying patients likely to benefit from microtubule-disrupting agents like taxanes.
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