Evidence map›Paper›PMID 27282497›Full record

ArticleMedical oncology (Northwood, London, England)2016

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

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

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Article in Medical oncology (Northwood, London, England), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Trial
  2. "Beyond HER2 overexpression: somatic alterations in HER2 and PI3K genes in HER2-high and HER2-low/TNBC breast cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Article
  3. Article
  4. Review
  5. Evaluation ofFrontiers in molecular biosciences · 2023
    Article
  6. Comparison ofJCO precision oncology · 2022
    Article
  7. Article
  8. Article
  9. Article
  10. Observational
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Firoz AhmadResearch and Development, SRL Limited, Plot No. 1, Prime Square Building, S.V. Road, Goregaon (W), Mumbai, 400062, India.
Anuya BadweResearch and Development, SRL Limited, Plot No. 1, Prime Square Building, S.V. Road, Goregaon (W), Mumbai, 400062, India.
Geeta VermaHistopathology Division, SRL Limited, Plot No. 1, Prime Square Building, S.V. Road, Goregaon (W), Mumbai, India.
Simi BhatiaHistopathology Division, SRL Limited, Plot No. 1, Prime Square Building, S.V. Road, Goregaon (W), Mumbai, India.
Bibhu Ranjan DasResearch and Development, SRL Limited, Plot No. 1, Prime Square Building, S.V. Road, Goregaon (W), Mumbai, 400062, India. brdas@srl.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

AdultAgedAged, 80 and overAsian PeopleBiomarkers, TumorBreast NeoplasmsClass I Phosphatidylinositol 3-KinasesDNA Mutational AnalysisFemaleHumansImmunohistochemistryIndiaMiddle AgedMutationPhosphatidylinositol 3-KinasesReverse Transcriptase Polymerase Chain ReactionBiomarkers, TumorClass I Phosphatidylinositol 3-KinasesPhosphatidylinositol 3-KinasesPIK3CA protein, humanBreast cancerIndiaPIK3CA mutationSequencing analysis

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.