Evidence map›Paper›PMID 20234394›Full record

ArticleEuropean journal of human genetics : EJHG2010

The BRCAPRO 5.0 model is a useful tool in genetic counseling and clinical management of male breast cancer cases.

Ines Zanna, Piera Rizzolo, Francesco Sera, Mario Falchetti, Paolo Aretini, Giuseppe Giannini, Giovanna Masala, Alberto Gulino, Domenico Palli, Laura Ottini

Abstract read
In one paragraph

Article in European journal of human genetics : EJHG, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

7 citing papers in PubMed.

  1. Review
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  3. Next-generation sequencing ofAnnals of surgical treatment and research · 2017
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

10 authors.

Ines ZannaMolecular and Nutritional Epidemiology Unit, Cancer Research and Prevention Institute-ISPO, Florence, Italy.
Piera Rizzolo
Francesco Sera
Mario Falchetti
Paolo Aretini
Giuseppe Giannini
Giovanna Masala
Alberto Gulino
Domenico Palli
Laura Ottini

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

No study has evaluated the performance of BRCA1/2 mutations prediction models in male breast cancer (MBC) series. Although rare, MBC deserves attention because male and female breast cancers share many characteristics, including the involvement of genetic predisposition factors such as BRCA1/BRCA2 mutations. Indeed, the occurrence of MBC is a commonly used criterion to select families for BRCA mutation testing. We evaluated the performance and clinical effectiveness of four different predictive models in a population-based series of 102 Italian MBC patients characterized for BRCA1/2 mutations. Sensitivity, specificity, and positive and negative predictive values (PPV, NPV) were calculated for each risk model at the 10% threshold. The area under the ROC (AUC) curves and its corresponding asymptotic 95% CIs were calculated as a measure of the accuracy. In our study, the BRCAPRO version 5.0 had the highest combination of sensitivity, specificity, NPV and PPV for the combined probability and for the discrimination of BRCA2 mutations. In individuals with negative breast-ovarian cancer family history, BRCAPRO 5.0 reached a high discriminatory capacity (AUC=0.92) in predicting BRCA2 mutations and showed values of sensitivity, specificity, NPV and PPV of 0.5, 0.98, 0.97 and 0.67, respectively, for the combined probability. BRCAPRO version 5.0 can be particularly useful in dealing with non-familial MBC, a circumstance that often represents a challenging situation in genetic counseling.

Indexed as

Models, GeneticArea Under CurveBreast Neoplasms, MaleFemaleGenetic CounselingHumansMaleROC CurveSoftware

Identifiers

PMID20234394
PMCPMC2987355

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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.