Evidence map›Paper›PMID 38287892›Full record

ArticleMolecular oncology2024

Plasma-based analysis of ERBB2 mutational status by multiplex digital PCR in a large series of patients with metastatic breast cancer.

Julien Corné, Véronique Quillien, Florence Godey, Mathilde Cherel, Agathe Cochet, Fanny Le Du, Lucie Robert, Héloïse Bourien, Angélique Brunot, Laurence Crouzet and 4 more

Abstract read
In one paragraph

Article in Molecular oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
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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

14 authors.

Julien CornéDepartment of Biology, Centre Eugène Marquis, Unicancer, Rennes, France.ORCID 0000-0002-6816-391X
Véronique QuillienDepartment of Biology, Centre Eugène Marquis, Unicancer, Rennes, France.
Florence GodeyDepartment of Biology, Centre Eugène Marquis, Unicancer, Rennes, France.
Mathilde CherelDepartment of Biology, Centre Eugène Marquis, Unicancer, Rennes, France.
Agathe CochetDepartment of Medical Oncology, Centre Eugène Marquis, Unicancer, Rennes, France.
Fanny Le DuDepartment of Medical Oncology, 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

Seagen
6 · The paper itself

Abstract

Erb-b2 receptor tyrosine kinase 2 (ERBB2)-activating mutations are therapeutically actionable alterations found in various cancers, including metastatic breast cancer (MBC). We developed multiplex digital PCR assays to detect and quantify ERBB2 mutations in circulating tumor DNA from liquid biopsies. We studied the plasma from 272 patients with hormone-receptor-positive, human epidermal growth factor receptor 2-negative (HR+/HER2-) MBC to detect 17 ERBB2 mutations using a screening assay. The assay was developed on the three-color Crystal dPCR™ naica® platform with a two-step strategy for precise mutation identification. We found that nine patients (3.3%) harbored at least one ERBB2 mutation. The mutation rate was higher in patients with lobular histology (5.9%) compared to invasive breast carcinoma of no special type (2.6%). A total of 12 mutations were found with the following frequencies: L755S (25.00%), V777L (25.00%), S310Y (16.67%), L869R (16.67%), S310F (8.33%), and D769H (8.33%). Matched tumor samples from six patients identified the same mutations with an 83% concordance rate. In summary, our highly sensitive multiplex digital PCR assays are well suited for plasma-based monitoring of ERBB2 mutational status in patients with MBC.

Indexed as

Breast NeoplasmsErb-b2 Receptor Tyrosine KinasesMultiplex Polymerase Chain ReactionMutationNeoplasm MetastasisAdultAgedAged, 80 and overCirculating Tumor DNADNA Mutational AnalysisFemaleHumansMiddle AgedCirculating Tumor DNAERBB2 protein, humanErb-b2 Receptor Tyrosine Kinasescirculating tumor DNAERBB2liquid biopsiesmetastatic breast cancermultiplex digital PCRplasma

Identifiers

PMID38287892
PMCPMC11547241

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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.