ArticleTechnology in cancer research & treatment
Clinical-Pathologic Analysis of Breast Cancer With PIK3CA Mutations in Chinese Women.
Article in Technology in cancer research & treatment. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 13 citations in OpenAlex.
- Predicting PIK3CA mutation in breast cancer with machine learning based multimodal image radiomics.European journal of medical research · 2025Article
- HER-2-Targeted Electrochemical Sensors for Breast Cancer Diagnosis: Basic Principles, Recent Advancements, and Challenges.Biosensors · 2025Review
- High frequency of the PIK3CA H1047L mutation in Indonesian breast cancer across molecular subtypes.PloS one · 2025Article
- Review
- PIK3CA mutations in breast cancer: A Tunisian series.PloS one · 2023Article
- Identification and Validation of FGF-Related Prognostic Signatures in Prostate Cancer.Disease markers · 2023Article
- Comparison ofJCO precision oncology · 2022Article
- Article
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeMutations of PIK3CA have recently been shown to play an important role in the pathogenesis and progression of breast neoplasms. The prevalence of PIK3CA in Chinese breast cancer patients may be underestimated. Therefore, we investigated the distribution of somatic PIK3CA mutation in Chinese breast cancer patients and explored their role in tumor phenotypes.
methodsMutational analysis of PIK3CA was done in 113 primary breast cancers of Chinese women used Amplification refractory mutation system (ARMS). The relationship of PIK3CA mutations with several clinicopathologic characteristics was analyzed.
resultsPIK3CA gene mutation was identified in 43(38.05%) cases and has a more significant difference between exon 9 and 20. HER2 gene amplification was 32.6% in 43 cases of PIK3CA mutation, but 37.1% in 70 cases of non-mutation (χ
conclusionA high frequency of somatic PIK3CA mutation was detected in Chinese breast cancer patients, especially in exon 20. The relationship between PIK3CA gene mutation and clinical pathological features of breast cancer needs to be further studied in a large series of patients. PIK3CA mutations seem to have the potential to be used in target treatment and as an indicator of prognosis.
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