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Molecular evaluation of PIK3CA gene mutation in breast cancer: determination of frequency, distribution pattern and its association with clinicopathological findings in Indian patients

Overview of attention for article published in Medical Oncology, June 2016
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Title
Molecular evaluation of PIK3CA gene mutation in breast cancer: determination of frequency, distribution pattern and its association with clinicopathological findings in Indian patients
Published in
Medical Oncology, June 2016
DOI 10.1007/s12032-016-0788-y
Pubmed ID
Authors

Firoz Ahmad, Anuya Badwe, Geeta Verma, Simi Bhatia, Bibhu Ranjan Das

Abstract

Somatic mutations in the PIK3CA gene are common in breast cancer and represent a clinically useful marker for prognosis and therapeutic target. Activating mutations in the PI3K p110 catalytic subunit (PIK3CA) have been identified in 18-40 % of breast carcinomas. In this study, we evaluated PIK3CA mutation in 185 Indian breast cancer patients by direct DNA sequencing. PIK3CA mutations were observed in 23.2 % (43/185) of breast tumor samples. PIK3CA mutations were more frequent exon 30 (76.8 %) than in exon 9 (23.2 %). Mutations were mostly clustered within two hotspot region between nucleotides 1624 and 1636 or between 3129 and 3140. Sequencing analysis revealed four different missense mutations at codon 542 and 545 (E542K, E545K, E545A and E545G) in the helical domain and two different amino acid substitutions at codon 1047 (H1047R and H1047L) in the kinase domain. None of the cases harbored concomitant mutations at multiple codons. PIK3CA mutations were more frequent in older patients, smaller size tumors, ductal carcinomas, grade II tumors, lymph node-positive tumors and non-DCIS tumors; however, none of the differences were significant. In addition, PIK3CA mutations were common in ER+, PR+ and HER2+ cases (30 %), and a comparatively low frequency were noted in triple-negative tumors (13.6 %). In conclusion, to our knowledge, this is the largest study to evaluate the PIK3CA mutation in Indian breast cancer patients. The frequency and distribution pattern of PIK3CA mutations is similar to global reports. Furthermore, identification of molecular markers has unique strengths and can provide insights into the pathogenic process of breast carcinomas.

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Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 28%
Researcher 7 18%
Student > Postgraduate 4 10%
Student > Ph. D. Student 4 10%
Student > Bachelor 3 8%
Other 5 13%
Unknown 6 15%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 35%
Medicine and Dentistry 10 25%
Business, Management and Accounting 1 3%
Agricultural and Biological Sciences 1 3%
Nursing and Health Professions 1 3%
Other 2 5%
Unknown 11 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 June 2016.
All research outputs
#20,332,117
of 22,876,619 outputs
Outputs from Medical Oncology
#960
of 1,295 outputs
Outputs of similar age
#295,530
of 343,019 outputs
Outputs of similar age from Medical Oncology
#11
of 20 outputs
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