Evidence map›Paper›PMID 29523855›Full record

ArticleScientific reports2018

A simple and robust real-time qPCR method for the detection of PIK3CA mutations.

Virginia Alvarez-Garcia, Clare Bartos, Ieva Keraite, Urmi Trivedi, Paul M Brennan, Maïwenn Kersaudy-Kerhoas, Karim Gharbi, Olga Oikonomidou, Nicholas R Leslie

Erratum issuedAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Detection ofBiomolecules · 2021
    Trial
  2. Review
  3. Article
  4. Review
  5. [Sperm Mosaic Variants and Their Influence on the Offspring].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2024
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Nuclease Enrichment and qPCR Detection of Rare Nucleotide Variants.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Frontiers in oncology · 2021
    Review
  19. Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Virginia Alvarez-GarciaInstitute of Biological Chemistry, Biophysics and Bioengineering, Heriot-Watt University, Edinburgh, EH14 4AS, UK. v.alvarez_garcia@hw.ac.uk.
Clare BartosEdinburgh Cancer Research Centre, University of Edinburgh, Crewe Road South, Edinburgh, EH4 2XR, UK.
Ieva KeraiteInstitute of Biological Chemistry, Biophysics and Bioengineering, Heriot-Watt University, Edinburgh, EH14 4AS, UK.
Urmi TrivediEdinburgh Genomics, Ashworth laboratories, The University of Edinburgh, Edinburgh, EH9 3JT, UK.
Paul M BrennanDepartment of Clinical Neurosciences, Western General Hospital, Crewe Road South, Edinburgh, EH4 2XU, UK.
Maïwenn Kersaudy-KerhoasInstitute of Biological Chemistry, Biophysics and Bioengineering, Heriot-Watt University, Edinburgh, EH14 4AS, UK.
Karim GharbiEdinburgh Genomics, Ashworth laboratories, The University of Edinburgh, Edinburgh, EH9 3JT, UK.
Olga OikonomidouEdinburgh Cancer Research Centre, University of Edinburgh, Crewe Road South, Edinburgh, EH4 2XR, UK.
Nicholas R LeslieInstitute of Biological Chemistry, Biophysics and Bioengineering, Heriot-Watt University, Edinburgh, EH14 4AS, UK.ORCID http://orcid.org/0000-0001-5131-0541

Funding

Chief Scientist Office ETM/433Medical Research Council G0801865Prostate Cancer UK PG14-006
6 · The paper itself

Abstract

PIK3CA mutations are seemingly the most common driver mutations in breast cancer with H1047R and E545K being the most common of these, accounting together for around 60% of all PIK3CA mutations and have promising therapeutic implications. Given the low sensitivity and the high cost of current genotyping methods we sought to develop fast, simple and inexpensive assays for PIK3CA H1047R and E545K mutation screening in clinical material. The methods we describe are based on a real-time PCR including a mutation specific primer combined with a non-productive oligonucleotide which inhibits wild-type amplification and a parallel internal control reaction. We demonstrate consistent detection of PIK3CA H1047R mutant DNA in genomic DNA extracted from frozen breast cancer biopsies, FFPE material or cancer cell lines with a detection sensitivity of approximately 5% mutant allele fraction and validate these results using both Sanger sequencing and deep next generation sequencing methods. The detection sensitivity for PIK3CA E545K mutation was approximately 10%. We propose these methods as simple, fast and inexpensive diagnostic tools to determine PIK3CA mutation status.

Indexed as

MutationBreast NeoplasmsCell LineClass I Phosphatidylinositol 3-KinasesFemaleGenetic TestingHCT116 CellsHumansMCF-7 CellsReal-Time Polymerase Chain ReactionClass I Phosphatidylinositol 3-KinasesPIK3CA protein, human

Identifiers

PMID29523855
PMCPMC5844869

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Registered trials

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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.