Evidence map›Paper›PMID 37848928›Full record

ArticleGenome medicine2023

Recommendations for the classification of germline variants in the exonuclease domain of POLE and POLD1.

Pilar Mur, Julen Viana-Errasti, Sandra García-Mulero, Lorena Magraner-Pardo, Inés G Muñoz, Tirso Pons, Gabriel Capellá, Marta Pineda, Lidia Feliubadaló, Laura Valle

Open access · goldAbstract read
In one paragraph

Article in Genome medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
4.8field-weighted citation impact, top 5% 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

16 citing papers in PubMed, 19 citations in OpenAlex.

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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

10 authors at 6 institutions in 2 countries.

Pilar MurHereditary Cancer Program, Catalan Institute of Oncology, IDIBELL, Hospitalet de Llobregat, Barcelona, Spain. pmur@catsalut.cat.
Julen Viana-ErrastiHereditary Cancer Program, Catalan Institute of Oncology, IDIBELL, Hospitalet de Llobregat, Barcelona, Spain.
Sandra García-MuleroDepartment of Health of Catalonia, Catalan Cancer Plan, Barcelona, Spain.
Lorena Magraner-PardoThe CRUK Gene Function Laboratory and The Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research (ICR), London, UK.
Inés G MuñozProtein Crystallography Unit, Structural Biology Program, Spanish National Cancer Research Center (CNIO), Madrid, Spain.
Tirso PonsDepartment of Immunology and Oncology, National Center for Biotechnology (CNB-CSIC), Spanish National Research Council, Madrid, Spain.
Gabriel CapelláHereditary Cancer Program, Catalan Institute of Oncology, IDIBELL, Hospitalet de Llobregat, Barcelona, Spain.
Marta PinedaHereditary Cancer Program, Catalan Institute of Oncology, IDIBELL, Hospitalet de Llobregat, Barcelona, Spain.
Lidia FeliubadalóHereditary Cancer Program, Catalan Institute of Oncology, IDIBELL, Hospitalet de Llobregat, Barcelona, Spain.
Laura ValleHereditary Cancer Program, Catalan Institute of Oncology, IDIBELL, Hospitalet de Llobregat, Barcelona, Spain. lvalle@idibell.cat.ORCID http://orcid.org/0000-0003-0371-0844
Institut d'Investigació Biomédica de Bellvitge · ESConsejo Superior de Investigaciones Científicas · ESGeneralitat de Catalunya · ESInstitut Català d'Oncologia · ESInstitute of Cancer Research · GBSpanish National Cancer Research Centre · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGermline variants affecting the proofreading activity of polymerases epsilon and delta cause a hereditary cancer and adenomatous polyposis syndrome characterized by tumors with a high mutational burden and a specific mutational spectrum. In addition to the implementation of multiple pieces of evidence for the classification of gene variants, POLE and POLD1 variant classification is particularly challenging given that non-disruptive variants affecting the proofreading activity of the corresponding polymerase are the ones associated with cancer. In response to an evident need in the field, we have developed gene-specific variant classification recommendations, based on the ACMG/AMP (American College of Medical Genetics and Genomics/Association for Molecular Pathology) criteria, for the assessment of non-disruptive variants located in the sequence coding for the exonuclease domain of the polymerases.

methodsA training set of 23 variants considered pathogenic or benign was used to define the usability and strength of the ACMG/AMP criteria. Population frequencies, computational predictions, co-segregation data, phenotypic and tumor data, and functional results, among other features, were considered.

resultsGene-specific variant classification recommendations for non-disruptive variants located in the exonuclease domain of POLE and POLD1 were defined. The resulting recommendations were applied to 128 exonuclease domain variants reported in the literature and/or public databases. A total of 17 variants were classified as pathogenic or likely pathogenic, and 17 as benign or likely benign.

conclusionsOur recommendations, with room for improvement in the coming years as more information become available on carrier families, tumor molecular characteristics and functional assays, are intended to serve the clinical and scientific communities and help improve diagnostic performance, avoiding variant misclassifications.

Indexed as

Adenomatous Polyposis ColiColorectal NeoplasmsDNA Polymerase IIDNA Polymerase IIIExonucleasesGerm CellsHumansUnited StatesDNA Polymerase IIDNA Polymerase IIIExonucleasesPOLD1 protein, humanHereditary cancerMutational signaturesPolymerase deltaPolymerase epsilonPolymerase proofreading-associated polyposisPPAPProofreading deficiencyVariant classification

Identifiers

PMID37848928
PMCPMC10580551
OpenAlexW4387704669

What Socratic holds

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LicenceCC BY
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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 Socratic graph.