Evidence map›Paper›PMID 35805038›Full record

ArticleCancers2022

Predominance of

Pascal Pujol, Kevin Yauy, Amandine Coffy, Nicolas Duforet-Frebourg, Sana Gabteni, Jean-Pierre Daurès, Frédérique Penault Llorca, Frédéric Thomas, Kevin Hughes, Clare Turnbull and 7 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2022. 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
2.1field-weighted citation impact, top 13% 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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Observational
  2. Article
  3. Wiener klinische Wochenschrift · 2025
    Article
  4. Frontiers in oncology · 2023
    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

17 authors at 7 institutions in 3 countries.

Pascal PujolDepartment of Cancer Genetics, CHU Montpellier, Université de Montpellier, 34000 Montpellier, France.ORCID 0000-0001-8315-4715
Kevin YauySeqOne Genomics, 34000 Montpellier, France.
Amandine CoffyUnité de Recherche Clinique LMNT-AESIO Santé, 34000 Montpellier, France.
Nicolas Duforet-FrebourgSeqOne Genomics, 34000 Montpellier, France.
Sana GabteniDepartment of Cancer Genetics, CHU Montpellier, Université de Montpellier, 34000 Montpellier, France.ORCID 0000-0002-2090-3448
Jean-Pierre DaurèsUnité de Recherche Clinique LMNT-AESIO Santé, 34000 Montpellier, France.
Frédérique Penault LlorcaINSERM U1240, Centre Jean Perrin, Department of BioPathology, University Clermont Auvergne, 63000 Clermont-Ferrand, France.
Frédéric ThomasCREEC, UMR IRD 224-CNRS 5290 Université Montpellier, 34000 Montpellier, France.ORCID 0000-0003-2238-1978
Kevin HughesDivision of Surgical Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA.
Clare TurnbullInstitute of Cancer Research, 15 Cotswold Rd, London SM2 5NG, UK.
Virginie GalibertDepartment of Cancer Genetics, CHU Montpellier, Université de Montpellier, 34000 Montpellier, France.
Chloé RideauDepartment of Cancer Genetics, CHU Montpellier, Université de Montpellier, 34000 Montpellier, France.
Carole CorsiniDepartment of Cancer Genetics, CHU Montpellier, Université de Montpellier, 34000 Montpellier, France.
Laetitia ColletInstitut de Cancérologie des Hospices Civils de Lyon (IC-HCL), Faculté de Médecine Lyon-Sud, Université Claude Bernard Lyon 1, 69002 Lyon, France.ORCID 0000-0002-9629-2778
Benoit YouInstitut de Cancérologie des Hospices Civils de Lyon (IC-HCL), Faculté de Médecine Lyon-Sud, Université Claude Bernard Lyon 1, 69002 Lyon, France.ORCID 0000-0002-3177-8857
David GenevièveDépartement de Génétique Médicale, Maladies Rares et Médecine Personnalisée, CHU Montpellier, Université de Montpellier, 34000 Montpellier, France.ORCID 0000-0001-6928-6287
Nicolas PhilippeSeqOne Genomics, 34000 Montpellier, France.
Université de Montpellier · FRCentre National de la Recherche Scientifique · FRInserm · FRQuantum Genomics (France) · FRUniversité Claude Bernard Lyon 1 · FRHarvard University · USInstitute of Cancer Research · GB

Funding

Entrepreneurs and Go 2021-EGSFMPP-003SFMPP 2021.0012
6 · The paper itself

Abstract

backgroundPoly(ADP-ribose) polymerase 1 inhibitor (PARPi) agents can improve progression-free survival of patients with breast cancer who carry a germline BRCA1 or BRCA2 pathogenic or likely pathogenic variant (gBRCA) in both the metastatic and adjuvant setting. Therefore, we need to reassess the frequency of gBRCA1 and gBRCA2 in order to redefine the criteria for women and tumor phenotype that should be tested.

objectiveWe studied the relative distribution of gBRCA1 and gBRCA2 in unselected populations of women with breast cancer and in unaffected individuals. We also analyzed the proportion of estrogen receptor (ER)-positive (ER+) tumors in unselected breast cancer patients with gBRCA.

designWe performed a meta-analysis of studies of unselected breast cancer that analyzed the relative contribution of gBRCA1 versus gBRCA2 among unselected breast cancer cases in gBRCA carriers. We then performed a meta-analysis of gBRCA carriage in unaffected individuals from genome-wide population studies, the gnomAD databank, and case-control studies.

resultsThe

conclusionsThis meta-analysis showed that gBRCA2 carriage is predominant in unselected breast cancer patients and unaffected individuals. ER+ tumors among women with gBRCA-related breast cancer are predominant and have been underestimated. Because PARPi agents improve progression-free survival with ER+ gBRCA breast cancer in most clinical trials, breast cancer should be considered, regardless of ER status, for

Indexed as

BRCA1BRCA2breast cancerestrogen receptor

Identifiers

PMID35805038
PMCPMC9265086
OpenAlexW4283792411

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.