Evidence map›Paper›PMID 36749285›Full record

ArticleOncotarget2023

The "extreme phenotype approach" applied to male breast cancer allows the identification of rare variants of ATR as potential breast cancer susceptibility alleles.

Martin Chevarin, Diana Alcantara, Juliette Albuisson, Marie-Agnès Collonge-Rame, Céline Populaire, Zohair Selmani, Amandine Baurand, Caroline Sawka, Geoffrey Bertolone, Patrick Callier and 15 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 44% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

25 authors at 8 institutions in 2 countries.

Martin ChevarinInserm UMR 1231 GAD Génétique des Anomalies du Développement, Université de Bourgogne, Dijon, France.
Diana AlcantaraHuman DNA Damage Response Disorders Group, University of Sussex, Genome Damage and Stability Centre, Brighton, United Kingdom.
Juliette AlbuissonService d'Oncogénétique, Centre Georges François Leclerc, Dijon, France.
Marie-Agnès Collonge-RameOncobiologie Génétique Bioinformatique, PCBio, CHU Besançon, Besançon, France.
Céline PopulaireOncobiologie Génétique Bioinformatique, PCBio, CHU Besançon, Besançon, France.
Zohair SelmaniOncobiologie Génétique Bioinformatique, PCBio, CHU Besançon, Besançon, France.
Amandine BaurandService d'Oncogénétique, Centre Georges François Leclerc, Dijon, France.
Caroline SawkaCentre de Génétique et Centre de Référence Maladies Rares Anomalies du Développement de l'Interrégion Est, Hôpital d'Enfants, CHU Dijon Bourgogne, Dijon, France.
Geoffrey BertoloneCentre de Génétique et Centre de Référence Maladies Rares Anomalies du Développement de l'Interrégion Est, Hôpital d'Enfants, CHU Dijon Bourgogne, Dijon, France.
Patrick CallierInserm UMR 1231 GAD Génétique des Anomalies du Développement, Université de Bourgogne, Dijon, France.
Yannis DuffourdInserm UMR 1231 GAD Génétique des Anomalies du Développement, Université de Bourgogne, Dijon, France.
Philippe JonveauxLaboratoire de Génétique Médicale, INSERM U954, Hôpitaux de Brabois, Vandoeuvre les Nancy, France.
Yves-Jean BignonLaboratoire d'Oncologie Moléculaire, Centre Jean Perrin, Clermont-Ferrand, France.
Isabelle CoupierUnité d'Oncogénétique, ICM Val d'Aurel, Montpellier, France.
François CornelisUniversité Bordeaux, IMB, UMR 5251, Talence, France.
Christophe CordierUF6948 oncogénétique, CHRU de Strasbourg, France.
Monique Mozelle-NivoixService de génétique, CHU-Reims, France.
Jean-Baptiste RivièreInserm UMR 1231 GAD Génétique des Anomalies du Développement, Université de Bourgogne, Dijon, France.
Paul KuentzInserm UMR 1231 GAD Génétique des Anomalies du Développement, Université de Bourgogne, Dijon, France.
Christel ThauvinInserm UMR 1231 GAD Génétique des Anomalies du Développement, Université de Bourgogne, Dijon, France.
Romain BoidotDépartement de biologie et pathologie des tumeurs, Centre Georges François Leclerc, Dijon, France.
François GhiringhelliDépartement d'oncologie médicale, INSERM LNC U1231, Centre Georges François Leclerc, Dijon, France.
Marc O'DriscollHuman DNA Damage Response Disorders Group, University of Sussex, Genome Damage and Stability Centre, Brighton, United Kingdom.
Laurence FaivreInserm UMR 1231 GAD Génétique des Anomalies du Développement, Université de Bourgogne, Dijon, France.
Sophie NambotInserm UMR 1231 GAD Génétique des Anomalies du Développement, Université de Bourgogne, Dijon, France.
Inserm · FRCentre Georges François Leclerc · FRHôpital d'Enfants · FRUniversity of Sussex · GBCentre Hospitalier Universitaire de Reims · FRCentre Jean Perrin · FRHôpitaux Universitaires de Strasbourg · FRUniversité de Bordeaux · FR

Funding

Medical Research Council MR/T012978/1
6 · The paper itself

Abstract

In oncogenetics, some patients could be considered as "extreme phenotypes", such as those with very early onset presentation or multiple primary malignancies, unusually high numbers of cancers of the same spectrum or rare cancer types in the same parental branch. For these cases, a genetic predisposition is very likely, but classical candidate gene panel analyses often and frustratingly remains negative. In the framework of the EX

Indexed as

Breast NeoplasmsAllelesAtaxia Telangiectasia Mutated ProteinsBreast Neoplasms, MaleFemaleGenetic Predisposition to DiseaseHumansMalePhenotypePhosphorylationAtaxia Telangiectasia Mutated ProteinsATR protein, humanATRexome sequencingextreme phenotypegenetic predisposition to cancermale breast cancer

Identifiers

PMID36749285
PMCPMC9904323
OpenAlexW4319333243

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.