ArticleBMC cancer2019
Chronological occurrence of PI3KCA mutations in breast cancer liver metastases after repeat partial liver resection.
Article in BMC cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- PIK3CA gene mutation status associated with poor prognosis of breast cancer: a retrospective cohort study.BMC cancer · 2025Article
- Characterizations of Cancer Gene Mutations in Chinese Metastatic Breast Cancer Patients.Frontiers in oncology · 2020Article
- New insights into the genomic landscape of meningiomas identified FGFR3 in a subset of patients with favorable prognoses.Oncotarget · 2019Article
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11 authors.
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Abstract
backgroundLiver metastases of breast cancer are frequent and can recur even after "complete/R0" resection in combination with systemic and hormonal treatments. The aim of this study was to analyze throughout repeat hepatectomies for liver metastases the evolution of PI3KCA gene mutational status.
methodsAll liver metastases nodules (n = 70) from 19 women who underwent at least 2 liver resections were reexamined. DNA extraction from archived tumoral tissue was performed and the major 'hot spot' mutations in the helical and catalytic domains of PI3KCA have been analyzed using Massarray platform (Agena Bioscience) based on allelic discrimination PCR amplification followed by sensitive mass spectrometry detection.
resultsThe two major somatic hot spot PI3KCA mutations were found in 27 (38.6%) nodules corresponding to 8 of the 19 patients (42%). The frequency of women whose breast cancer liver metastases (BCLM) carries PI3KCA mutations increased from the first to the third hepatectomy. Tumors carrying PI3KCA mutations are significantly larger and more frequently observed when resections were R0 compared to patients with no PI3KCA mutation.
conclusionPI3KCA mutations are frequently observed in BCLM and persist along with the recurrence. Their identification in circulating tumor cells should become a useful biomarker in the routine practice of breast cancer management to prevent tumor recurrence and overcome the problems of intra- and inter-tumoral heterogeneity of the current biomarkers.
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