PIK3CA exon 20 mutations are associated with poor prognosis in breast cancer patients
Flavia R Mangone1, Irina G Bobrovnitchaia, Sibeli Salaorni
1Departamento de Radiologia e Oncologia, Disciplina de Oncologia, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil.
Objectives:
The phosphatidylinositol 3-kinase/AKT axis is an important cell-signaling pathway that mediates cell proliferation and survival, two biological processes that regulate malignant cell growth. The phosphatidylinositol 3-kinase CA gene encodes the p110α subunit of the phosphatidylinositol 3-kinase protein. There are phosphatidylinositol 3-kinase CA mutations in several types of human tumors, and they are frequently observed in breast cancer. However, these mutations have not been investigated in Brazilian breast cancer patients.
Methods:
PCR-SSCP and direct DNA sequencing were performed to identify phosphatidylinositol 3-kinaseCA exon 9 and exon 20 mutations in 86 patients with sporadic breast cancer. The relationships between PIK3CA mutations and patient clinicopathological characteristics and survival were analyzed. The presence of the TP53 mutation was also examined.
Results:
Twenty-three (27%) of the 86 primary breast tumors contained PIK3CA mutations. In exons 9 and 20, we identified the hotspot mutations E542K, E545K, and H1047R, and we identified two new missense mutations (I1022V and L1028S) and one nonsense (R992X) mutation. Phosphatidylinositol 3-kinase CA exon 20 mutations were associated with poor overall survival and TP53 gene mutations.
Conclusions:
Phosphatidylinositol 3-kinase CA mutations are common in tumors in Brazilian breast cancer patients, and phosphatidylinositol 3-kinase CA and TP53 mutations are not mutually exclusive. Phosphatidylinositol 3-kinase CA exon 20 mutations are associated with poor survival, and they may be useful biomarkers for identifying breast cancer patients with aggressive tumors and for predicting the response to treatment with PI3K pathway inhibitors.
Insights
Phosphatidylinositol 3-kinase CA (PIK3CA) mutations are common in Brazilian breast cancer patients. PIK3CA exon 20 mutations correlate with poor survival and TP53 mutations, suggesting potential therapeutic biomarkers.
Area of Science:
- Oncology
- Molecular Biology
- Genetics
Background:
- The phosphatidylinositol 3-kinase/AKT pathway is crucial for cell growth and survival, and its dysregulation is implicated in cancer.
- Mutations in the phosphatidylinositol 3-kinase CA (PIK3CA) gene, encoding the p110α subunit, are frequently found in various human tumors, including breast cancer.
- The prevalence and clinical significance of PIK3CA mutations in Brazilian breast cancer patients remain underexplored.
Purpose of the Study:
- To investigate the frequency and spectrum of PIK3CA mutations in Brazilian breast cancer patients.
- To analyze the association between PIK3CA mutations and clinicopathological features, including TP53 mutations and patient survival.
- To evaluate the potential of PIK3CA mutations as biomarkers for aggressive breast cancer and treatment response.
Main Methods:
- PCR-SSCP and direct DNA sequencing were employed to detect PIK3CA mutations in exons 9 and 20.
- Eighty-six sporadic breast cancer patients were analyzed for PIK3CA mutations.
- Clinicopathological data, TP53 mutation status, and survival outcomes were correlated with PIK3CA mutation findings.
Main Results:
- PIK3CA mutations were identified in 27% (23/86) of the breast tumors analyzed.
- Hotspot mutations (E542K, E545K, H1047R) and novel mutations (I1022V, L1028S, R992X) were discovered in exons 9 and 20.
- PIK3CA exon 20 mutations were significantly associated with poorer overall survival and the presence of TP53 mutations.
Conclusions:
- PIK3CA mutations are prevalent in Brazilian breast cancer patients, indicating their importance in this population.
- PIK3CA and TP53 mutations can co-occur, suggesting complex genetic alterations in breast cancer.
- PIK3CA exon 20 mutations serve as potential biomarkers for identifying aggressive breast tumors and predicting response to PI3K pathway-targeted therapies.
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