Evidence map›Paper›PMID 29271107›Full record

ArticleCancer medicine2018

Optimizing the identification of risk-relevant mutations by multigene panel testing in selected hereditary breast/ovarian cancer families.

Anna Coppa, Arianna Nicolussi, Sonia D'Inzeo, Carlo Capalbo, Francesca Belardinilli, Valeria Colicchia, Marialaura Petroni, Massimo Zani, Sergio Ferraro, Christian Rinaldi and 5 more

Abstract read
In one paragraph

Article in Cancer medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Summary ofGenes · 2020
    Pooled it
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  13. A novel BRCA2 splice variant identified in a young woman.Molecular genetics & genomic medicine · 2020
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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

15 authors.

Anna CoppaDepartment of Experimental Medicine, University La Sapienza, V.le R. Elena 324, Rome, 00161, Italy.
Arianna NicolussiDepartment of Experimental Medicine, University La Sapienza, V.le R. Elena 324, Rome, 00161, Italy.
Sonia D'InzeoDepartment of Experimental Medicine, University La Sapienza, V.le R. Elena 324, Rome, 00161, Italy.
Carlo CapalboDepartment of Molecular Medicine, University La Sapienza, V.le R. Elena 291, Rome, 00161, Italy.
Francesca BelardinilliDepartment of Molecular Medicine, University La Sapienza, V.le R. Elena 291, Rome, 00161, Italy.
Valeria ColicchiaDepartment of Molecular Medicine, University La Sapienza, V.le R. Elena 291, Rome, 00161, Italy.
Marialaura PetroniCenter for Life Nano Science@Sapienza, Istituto Italiano di Tecnologia, Rome, 00161, Italy.
Massimo ZaniDepartment of Molecular Medicine, University La Sapienza, V.le R. Elena 291, Rome, 00161, Italy.
Sergio FerraroDepartment of Molecular Medicine, University La Sapienza, V.le R. Elena 291, Rome, 00161, Italy.
Christian RinaldiDepartment of Molecular Medicine, University La Sapienza, V.le R. Elena 291, Rome, 00161, Italy.
Amelia BuffoneDepartment of Molecular Medicine, University La Sapienza, V.le R. Elena 291, Rome, 00161, Italy.
Armando BartolazziDepartment of Pathology, Sant'Andrea Hospital, University La Sapienza, Via di Grottarossa 1035, Rome, 00189, Italy.
Isabella ScrepantiDepartment of Molecular Medicine, University La Sapienza, V.le R. Elena 291, Rome, 00161, Italy.
Laura OttiniDepartment of Molecular Medicine, University La Sapienza, V.le R. Elena 291, Rome, 00161, Italy.
Giuseppe GianniniDepartment of Molecular Medicine, University La Sapienza, V.le R. Elena 291, Rome, 00161, Italy.ORCID 0000-0003-0299-4056

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The introduction of multigene panel testing for hereditary breast/ovarian cancer screening has greatly improved efficiency, speed, and costs. However, its clinical utility is still debated, mostly due to the lack of conclusive evidences on the impact of newly discovered genetic variants on cancer risk and lack of evidence-based guidelines for the clinical management of their carriers. In this pilot study, we aimed to test whether a systematic and multiparametric characterization of newly discovered mutations could enhance the clinical utility of multigene panel sequencing. Out of a pool of 367 breast/ovarian cancer families Sanger-sequenced for BRCA1 and BRCA2 gene mutations, we selected a cohort of 20 BRCA1/2-negative families to be subjected to the BROCA-Cancer Risk Panel massive parallel sequencing. As a strategy for the systematic characterization of newly discovered genetic variants, we collected blood and cancer tissue samples and established lymphoblastoid cell lines from all available individuals in these families, to perform segregation analysis, loss-of-heterozygosity and further molecular studies. We identified loss-of-function mutations in 6 out 20 high-risk families, 5 of which occurred on BRCA1, CHEK2 and ATM and are esteemed to be risk-relevant. In contrast, a novel RAD50 truncating mutation is most likely unrelated to breast cancer. Our data suggest that integrating multigene panel testing with a pre-organized, multiparametric characterization of newly discovered genetic variants improves the identification of risk-relevant alleles impacting on the clinical management of their carriers.

Indexed as

Genetic Predisposition to DiseaseAcid Anhydride HydrolasesAdultAtaxia Telangiectasia Mutated ProteinsBRCA1 ProteinBRCA2 ProteinCheckpoint Kinase 2Cohort StudiesDNA-Binding ProteinsDNA Mutational AnalysisDNA Repair EnzymesFemaleGenetic TestingHereditary Breast and Ovarian Cancer SyndromeHigh-Throughput Nucleotide SequencingHumansAcid Anhydride HydrolasesAtaxia Telangiectasia Mutated ProteinsATM protein, humanBRCA1 ProteinBRCA1 protein, humanBRCA2 ProteinBRCA2 protein, humanCheckpoint Kinase 2CHEK2 protein, humanDNA-Binding ProteinsDNA Repair EnzymesRAD50 protein, humanATMBRCAPro5CHEK2hereditary breast cancerNGS

Identifiers

PMID29271107
PMCPMC5773970

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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 OpenQuestion graph.