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Enregistrement W4311022369 · doi:10.1093/jnci/djac224

Reply to Evans and Woodward

2022· letter· en· W4311022369 sur OpenAlexafffund
Christian P. Kratz, Dmitrii Smirnov, Robert J. Autry, Natalie Jäger, Sebastian M. Waszak, Anika Großhennig, Riccardo Berutti, Mareike Wendorff, Pierre Hainaut, Stefan M. Pfister, Holger Prokisch, Tim Ripperger, David Malkin

Notice bibliographique

RevueJNCI Journal of the National Cancer Institute · 2022
Typeletter
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueMetabolism and Genetic Disorders
Établissements canadiensHospital for Sick ChildrenUniversity of Toronto
Organismes subventionnairesHelse Sør-Øst RHFCanadian Institutes of Health ResearchDeutsche KinderkrebsstiftungNorges ForskningsrådUniversitetet i OsloBundesministerium für Bildung und ForschungTerry Fox Research InstituteBrain Tumour Charity
Mots-clésEvans syndromePhilosophyPsychologyPsychiatry

Résumé

récupéré en direct d'OpenAlex

We thank Drs Evans and Woodward for their correspondence (1) in which the following points related to our publication entitled “Heterozygous BRCA1 and BRCA2 and mismatch repair gene pathogenic variants in children and adolescents with cancer” are raised. Point 1: The frequency of pathogenic and/or likely pathogenic variants (PVs) in the German control group is lower than the frequency observed in published series. We agree with this point, and for this reason, we included an analysis of a cancer-free Genome Aggregation Database (gnomAD) control group. The enrichment of PVs in BRCA1 and 2 and mismatch repair (MMR) genes was reproduced—with borderline statistical significance for PVs in BRCA1 and 2 combined—when we used the gnomAD control group. Similar results were reproduced in a supplementary analysis including 17 studies. In addition, analysis of a validation patient cohort confirmed an enrichment of PVs in BRCA2 and MSH2—but not in PMS2—compared with a gnomAD control group. Notably, there are other independent recent publications (2-5) including one study focusing on the somatic mutation landscape (2) supporting the association between Lynch syndrome and childhood cancer. Other recent papers have demonstrated an enrichment of PVs in BRCA2 in children with cancer (6,7). Together, these studies suggest that these syndromes have a low penetrant pediatric spectrum. Point 2: Variants may have been missed (eg, in PMS2), and copy number variants were not included. Different sequencing pipelines and differences in pathogenicity assessment can confound burden testing. Therefore, we restricted our meta-analysis that included studies employing different pipelines to ClinVar PVs. This led to the intentional exclusion of copy number variants not included in ClinVar; however, this factor affects both cases and controls. We agree that difficulties in detecting variants are likely to influence the reported PV frequencies of our study, however, this factor affects both cases and controls. Future studies should analyze cases and controls employing the same pipeline and pathogenicity assessment strategy and should include copy number variants. Point 3: Biallelic gene variants were not ruled out. This point cannot be addressed because of the retrospective nature of our study. Based on our results, we now recommend functional assays (eg, chromosomal breakage test) to rule out Fanconi anemia in children with cancer who are found to have a heterozygous PV in BRCA1, BRCA2, or PALB2. It is possible that a second germline PV on the other allele is missed when sequencing is employed alone. We recommend a similar procedure in children with cancer who are found to harbor a heterozygous germline PV in a MMR gene to rule out constitutional MMR deficiency because of biallelic PVs in one of the MMR genes. Despite these limitations, our data provide evidence supporting the hypothesis that heterozygous PVs in BRCA and MMR genes (with the strongest signal observed for MSH2) are associated with pediatric cancer with a low penetrance not necessitating changes to current predictive testing recommendations. Prospective studies are needed to independently confirm these findings and to define the pediatric cancer spectra, tumor risks, and somatic mutation landscapes associated with PVs in these genes. CPK and SMP have been supported by the Deutsche Kinderkrebsstiftung (DKS2019.13) and Federal Ministry of Education and Research (BMBF) ADDRess (01GM1909A and 01GM1909E). RA is supported by the Everest Centre for Low-Grade Paediatric Brain Tumours (the Brain Tumour Charity, UK; GN-000382). SMW is supported by the Research Council of Norway (187615), the South-Eastern Norway Regional Health Authority, and the University of Oslo. TR has been supported by BMBF MyPred (01GM1911B). DM is supported by grants from the Canadian Institutes for Health Research (FDN-143234) and the Terry Fox Research Institute (TFRI #1081). DS and HP have been supported by BMBF (01GM1906B). Role of the funder: The funder had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication. Author disclosures: None exist. Author contributions: Conceptualization: CPK; Writing—review & editing: all authors. No new data were generated or analyzed for this response.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,005
score de la tête « metaresearch » (Gemma)0,034
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,095
Score d'incertitude au seuil0,040

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0050,034
Méta-épidémiologie (sens strict)0,0010,002
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0080,004
Communication savante0,0070,005
Science ouverte0,0030,004
Intégrité de la recherche0,0950,070
Charge utile insuffisante (le modèle a refusé de juger)0,0090,008

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,026
Tête enseignante GPT0,302
Écart entre enseignants0,277 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2022
Routes d'admission2
Résumé présentnon

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