Evidence map›Paper›PMID 33051521›Full record

ArticleScientific reports2020

PIK3CA mutation enrichment and quantitation from blood and tissue.

Ieva Keraite, Virginia Alvarez-Garcia, Isaac Garcia-Murillas, Matthew Beaney, Nicholas C Turner, Clare Bartos, Olga Oikonomidou, Maïwenn Kersaudy-Kerhoas, Nicholas R Leslie

Open access · goldAbstract readValidation Study
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
1.0field-weighted citation impact, top 27% of its field
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

28 citing papers in PubMed, 36 citations in OpenAlex.

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  8. Influenza A virus NS1 protein mimics oncogenic PI3K resulting in isoform specific cellular redistribution and activation.Proceedings of the National Academy of Sciences of the United States of America · 2025
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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

9 authors at 6 institutions in 1 country.

Ieva KeraiteInstitute of Biological Chemistry, Biophysics and Bioengineering, Heriot-Watt University, Edinburgh, EH14 4AS, UK.
Virginia Alvarez-GarciaInstitute of Biological Chemistry, Biophysics and Bioengineering, Heriot-Watt University, Edinburgh, EH14 4AS, UK.
Isaac Garcia-MurillasThe Breast Cancer Now Research Centre, The Institute of Cancer Research, London, SW3 6JB, UK.
Matthew BeaneyThe Breast Cancer Now Research Centre, The Institute of Cancer Research, London, SW3 6JB, UK.
Nicholas C TurnerThe Breast Cancer Now Research Centre, The Institute of Cancer Research, London, SW3 6JB, UK.
Clare BartosEdinburgh Cancer Research Centre, University of Edinburgh, Crewe Road South, Edinburgh, EH4 2XR, UK.
Olga OikonomidouEdinburgh Cancer Research Centre, University of Edinburgh, Crewe Road South, Edinburgh, EH4 2XR, UK.
Maïwenn Kersaudy-KerhoasInstitute of Biological Chemistry, Biophysics and Bioengineering, Heriot-Watt University, Edinburgh, EH14 4AS, UK.
Nicholas R LeslieInstitute of Biological Chemistry, Biophysics and Bioengineering, Heriot-Watt University, Edinburgh, EH14 4AS, UK. n.r.leslie@hw.ac.uk.
Breast Cancer Now · GBEdinburgh Cancer Research · GBUniversity of Edinburgh · GBHeriot-Watt University · GBInstitute of Cancer Research · GBWestern General Hospital · GB

Funding

Chief Scientist Office ETM/433Medical Research Council G0801865
6 · The paper itself

Abstract

PIK3CA is one of the two most frequently mutated genes in breast cancers, occurring in 30-40% of cases. Four frequent 'hotspot' PIK3CA mutations (E542K, E545K, H1047R and H1047L) account for 80-90% of all PIK3CA mutations in human malignancies and represent predictive biomarkers. Here we describe a PIK3CA mutation specific nuclease-based enrichment assay, which combined with a low-cost real-time qPCR detection method, enhances assay detection sensitivity from 5% for E542K and 10% for E545K to 0.6%, and from 5% for H1047R to 0.3%. Moreover, we present a novel flexible prediction method to calculate initial mutant allele frequency in tissue biopsy and blood samples with low mutant fraction. These advancements demonstrated a quick, accurate and simple detection and quantitation of PIK3CA mutations in two breast cancer cohorts (first cohort n = 22, second cohort n = 25). Hence this simple, versatile and informative workflow could be applicable for routine diagnostic testing where quantitative results are essential, e.g. disease monitoring subject to validation in a substantial future study.

Indexed as

MutationBiomarkers, TumorBreast NeoplasmsCell Line, TumorClass I Phosphatidylinositol 3-KinasesCohort StudiesDNA Mutational AnalysisDNA, NeoplasmFemaleGene FrequencyHumansMCF-7 CellsReal-Time Polymerase Chain ReactionBiomarkers, TumorClass I Phosphatidylinositol 3-KinasesDNA, NeoplasmPIK3CA protein, human

Identifiers

PMID33051521
PMCPMC7555501
OpenAlexW3092516059

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.