Evidence map›Paper›PMID 32522261›Full record

ArticleJournal of translational medicine2020

A comprehensive custom panel evaluation for routine hereditary cancer testing: improving the yield of germline mutation detection.

Carolina Velázquez, Enrique Lastra, Francisco Avila Cobos, Luis Abella, Virginia de la Cruz, Blanca Ascensión Hernando, Lara Hernández, Noemí Martínez, Mar Infante, Mercedes Durán

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

13 citing papers in PubMed, 19 citations in OpenAlex.

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  11. Somatic and Germline Variant Calling from Next-Generation Sequencing Data.Advances in experimental medicine and biology · 2022
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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 5 institutions in 3 countries.

Carolina VelázquezCancer Genetics Group, Institute of Genetics and Molecular Biology (UVa-CSIC), Sanz y Forés 3, 47003, Valladolid, Spain. carolina.velazquez@inserm.fr.
Enrique LastraUnit of Genetic Counseling in Cancer, Complejo Hospitalario de Burgos, Burgos, Spain.
Francisco Avila CobosCenter for Medical Genetics Ghent (CMGG), Ghent University, 9000, Ghent, Belgium.
Luis AbellaUnit of Genetic Counseling in Cancer, Hospital Universitario Rio Hortega, Valladolid, Spain.
Virginia de la CruzUnit of Genetic Counseling in Cancer, Hospital Universitario Rio Hortega, Valladolid, Spain.
Blanca Ascensión HernandoUnit of Genetic Counseling in Cancer, Complejo Hospitalario de Burgos, Burgos, Spain.
Lara HernándezCancer Genetics Group, Institute of Genetics and Molecular Biology (UVa-CSIC), Sanz y Forés 3, 47003, Valladolid, Spain.
Noemí MartínezCancer Genetics Group, Institute of Genetics and Molecular Biology (UVa-CSIC), Sanz y Forés 3, 47003, Valladolid, Spain.
Mar InfanteCancer Genetics Group, Institute of Genetics and Molecular Biology (UVa-CSIC), Sanz y Forés 3, 47003, Valladolid, Spain.
Mercedes DuránCancer Genetics Group, Institute of Genetics and Molecular Biology (UVa-CSIC), Sanz y Forés 3, 47003, Valladolid, Spain.ORCID 0000-0002-6301-9732
Instituto de Biomedicina y Genética Molecular de Valladolid · ESHospital Universitario de Burgos · ESHospital Universitario Río Hortega · ESGhent University Hospital · BEInserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the context of our Regional Program of Hereditary Cancer, individuals fulfilling the criteria are tested for germline mutations to subsequently establish the clinical management. Our standard diagnostic approach focuses on sequencing a few classic high-risk genes, a method that frequently renders uninformative genetic results. This study aims to examine the improved yield offered by an On-Demand panel.

methodsWe designed an On-Demand panel for the analysis of 35-genes associated with inherited cancer susceptibility in a total of 128 cases of Hereditary Breast and Ovarian Cancer (HBOC) and Hereditary Nonpolyposis Colorectal Cancer (HNPCC).

resultsEighteen deleterious mutations were detected, in both routinely (BRCA2, MLH1, MSH2, PMS2) and non-routinely (ATM, BLM, BRIP1, CHEK2, MUTYH) tested genes. The screening extended to 35 genes rendered by patients carrying several- up to 6-Variants of Unknown Significance (VUS). Moreover, we confirmed the splicing disruption at RNA level for a not previously reported BRIP1 splicing mutation. Using an On-Demand panel, we identified 18 pathogenic mutation carriers, seven of which would have gone unnoticed with traditional analysis.

conclusionsOur results reinforce the utility of NGS gene panels in the diagnostic routine to increase the performance of genetic testing, especially in individuals from families with overlapping cancer phenotypes.

Indexed as

Germ-Line MutationOvarian NeoplasmsFemaleGenes, BRCA2Genetic Predisposition to DiseaseGenetic TestingHumansMutationGenetic counsellingGermline mutationHereditary Cancer syndromeNext generation sequencingOn-Demand gene panel

Identifiers

PMID32522261
PMCPMC7288470
OpenAlexW3033775426

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.