Evidence map›Paper›PMID 34453076›Full record

ArticleScientific reports2021

Development of multiplex digital PCR assays for the detection of PIK3CA mutations in the plasma of metastatic breast cancer patients.

Julien Corné, Fanny Le Du, Véronique Quillien, Florence Godey, Lucie Robert, Héloïse Bourien, Angélique Brunot, Laurence Crouzet, Christophe Perrin, Claudia Lefeuvre-Plesse and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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  11. Evaluation ofFrontiers in molecular biosciences · 2023
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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

12 authors.

Julien CornéDepartment of Biology, Centre Eugène Marquis, Unicancer, Rennes, France. j.corne@rennes.unicancer.fr.
Fanny Le DuDepartment of Medical Oncology, Centre Eugène Marquis, Unicancer, Rennes, France.
Véronique QuillienDepartment of Biology, Centre Eugène Marquis, Unicancer, Rennes, France.
Florence GodeyDepartment of Biology, Centre Eugène Marquis, Unicancer, Rennes, France.
Lucie RobertDepartment of Medical Oncology, Centre Eugène Marquis, Unicancer, Rennes, France.
Héloïse BourienDepartment of Medical Oncology, Centre Eugène Marquis, Unicancer, Rennes, France.
Angélique BrunotDepartment of Medical Oncology, Centre Eugène Marquis, Unicancer, Rennes, France.
Laurence CrouzetDepartment of Medical Oncology, Centre Eugène Marquis, Unicancer, Rennes, France.
Christophe PerrinDepartment of Medical Oncology, Centre Eugène Marquis, Unicancer, Rennes, France.
Claudia Lefeuvre-PlesseDepartment of Medical Oncology, Centre Eugène Marquis, Unicancer, Rennes, France.
Véronique DiérasDepartment of Medical Oncology, Centre Eugène Marquis, Unicancer, Rennes, France.
Thibault De la Motte RougeDepartment of Medical Oncology, Centre Eugène Marquis, Unicancer, Rennes, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the approval of new therapies targeting the PI3K pathway, the detection of PIK3CA mutations has become a key factor in treatment management for HR+/HER2- metastatic breast cancer (MBC). We developed multiplex digital PCR (dPCR) assays to detect and quantify PIK3CA mutations. A first screening assay allows the detection of 21 mutations, with a drop-off system targeting the 542-546 hotspot mutations combined with the simultaneous detection of N345K, C420R, H1047L and H1047R mutations. In the case of a positive result, a sequential strategy based on other assays that we have developped allows for precise mutation identification. Clinical validity was determined by analyzing plasma circulating free DNA (cfDNA) from 213 HR+/HER2- MBC samples, as well as DNA extracted from 97 available matched tumors from 89 patients. Our assays have shown reliable specificity, accuracy and reproducibility, with limits of blank of three and four droplets for the screening assay. Sixty-eight patients (32%) had at least one PIK3CA mutation detectable in their plasma, and we obtained 83.1% agreement between the cfDNA analysis and the corresponding tumors. The high sensitivity and robustness of these new dPCR assays make them well-suited for rapid and cost-effective detection of PIK3CA mutations in the plasma of MBC patients.

Indexed as

AdolescentBase SequenceBiomarkers, TumorBreast NeoplasmsCell-Free Nucleic AcidsChildChild, PreschoolClass I Phosphatidylinositol 3-KinasesFemaleHumansInfantInfant, NewbornMutationPolymerase Chain ReactionReproducibility of ResultsYoung AdultBiomarkers, TumorCell-Free Nucleic AcidsClass I Phosphatidylinositol 3-KinasesPIK3CA protein, human

Identifiers

PMID34453076
PMCPMC8397758

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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.