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Updated: Mar 11, 2026

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
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Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

Published on: May 17, 2019

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The High Frequency of PIK3CA Mutations in Iranian Breast Cancer Patients

Ghasem Azizi Tabesh1, Pantea Izadi1, Forouzandeh Fereidooni2

  • 1a Medical Genetics Department , Medical School, Tehran University of Medical Sciences , Tehran , Iran.

Cancer Investigation
|December 1, 2016
PubMed

Insights

Somatic mutations in the PIK3CA gene are frequent in breast cancer. PIK3CA mutations were linked to lower tumor grade and a better prognosis in patients, indicating potential therapeutic targets.

Area of Science:

  • Oncology
  • Molecular Biology
  • Genetics

Background:

  • Somatic mutations of the PIK3CA oncogene are frequently observed in breast cancer.
  • The PIK3CA gene plays a crucial role in cell growth and proliferation pathways relevant to cancer development.

Purpose of the Study:

  • To investigate the frequency and clinical significance of PIK3CA gene mutations in breast tumors.
  • To analyze the association of PIK3CA mutations with specific breast cancer subtypes and patient prognosis.

Main Methods:

  • Polymerase chain reaction (PCR) and direct sequencing were employed.
  • Analysis was performed on exons 9 and 20 of the PIK3CA gene in 80 breast tumor samples.

Main Results:

  • PIK3CA mutations were identified in 45% of the analyzed breast tumors.
  • A significant association was found between PIK3CA mutations and low-grade breast tumors.
  • While mutations were more prevalent in progesterone receptor-positive and Her2-negative tumors, this trend was not statistically significant.
  • PIK3CA mutations correlated with a good to moderate prognosis in breast cancer patients.

Conclusions:

  • PIK3CA mutations are common in breast cancer and are significantly associated with lower tumor grade.
  • These mutations may serve as a predictive biomarker for a favorable prognosis in breast cancer patients.
Keywords:
Breast cancerPIK3CAsomatic mutation

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