Evidence map›Paper›PMID 41023008›Full record

ArticleScientific reports2025

Molecular characterization of hereditary breast and ovarian cancer patients from a public precision medicine service in the Southeast Brazilian population.

Andreza Amália de Freitas Ribeiro, Thalia Queiroz Ladeira, Marcus Vinícius Gonçalves Antunes, Claudemiro Pereira Neto, Fernanda Chaves de Freitas, Fabiana Castro de Faria, Débora de Oliveira Lopes, Eduardo Tarazona-Santos, Luciana Lara Dos Santos

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

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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

9 authors.

Andreza Amália de Freitas RibeiroFederal University of São João del-Rei (UFSJ), 400 Sebastião Gonçalves Coelho Ave, Chanadour, Divinópolis, Minas Gerais, MG, 35501-296, Brazil.
Thalia Queiroz LadeiraFederal University of São João del-Rei (UFSJ), 400 Sebastião Gonçalves Coelho Ave, Chanadour, Divinópolis, Minas Gerais, MG, 35501-296, Brazil.
Marcus Vinícius Gonçalves AntunesFederal University of São João del-Rei (UFSJ), 400 Sebastião Gonçalves Coelho Ave, Chanadour, Divinópolis, Minas Gerais, MG, 35501-296, Brazil. marcusvinicius0898@aluno.ufsj.edu.br.
Claudemiro Pereira NetoCancer Support Association of the Midwest Region of Minas Gerais, ACOM (Associação de Combate ao Câncer), 500 Topázio St, Niterói, Divinópolis, Minas Gerais, MG, 35500-215, Brazil.
Fernanda Chaves de FreitasCancer Support Association of the Midwest Region of Minas Gerais, ACOM (Associação de Combate ao Câncer), 500 Topázio St, Niterói, Divinópolis, Minas Gerais, MG, 35500-215, Brazil.
Fabiana Castro de FariaCancer Support Association of the Midwest Region of Minas Gerais, ACOM (Associação de Combate ao Câncer), 500 Topázio St, Niterói, Divinópolis, Minas Gerais, MG, 35500-215, Brazil.
Débora de Oliveira LopesFederal University of São João del-Rei (UFSJ), 400 Sebastião Gonçalves Coelho Ave, Chanadour, Divinópolis, Minas Gerais, MG, 35501-296, Brazil.
Eduardo Tarazona-SantosDepartment of Genetics, Ecology, and Evolution, Institute of Biological Sciences (ICB), Laboratory of Human Genetic Diversity (LDGH), Federal University of Minas Gerais (UFMG), 6627 Pres. Antônio Carlos Ave, Pampulha, Belo Horizonte, MG, 31270-901, Brazil.
Luciana Lara Dos SantosFederal University of São João del-Rei (UFSJ), 400 Sebastião Gonçalves Coelho Ave, Chanadour, Divinópolis, Minas Gerais, MG, 35501-296, Brazil. lucianalara@ufsj.edu.br.

Funding

Fundação de Amparo à Pesquisa do Estado de Minas Gerais RED-00314-16
6 · The paper itself

Abstract

To address the need for specialized care in hereditary cancer, we developed a Hereditary Cancer Predisposition Assessment and Family Monitoring Program in the southeast of Brazil. The program was designed to identify suspected cases and provide molecular diagnostic testing through a structured care flow that included genetic counseling, psychological support, and clinical follow-up. This initiative targeted individuals within the public healthcare system and aimed to implement accessible precision medicine approaches for hereditary cancer syndromes. As part of this initiative, we performed systematic genetic screening using both Sanger sequencing and a next-generation sequencing panel to investigate cancer susceptibility genes in a cohort of 210 patients with suspected Hereditary Breast and Ovarian Cancer Syndrome (HBOC). Variants were classified according to the American College of Medical Genetics and Genomics (ACMG) guidelines. Statistical analyses were conducted to compare clinical characteristics between patients carrying pathogenic or likely pathogenic variants and those with benign findings. Pathogenic or likely pathogenic mutations were identified in 33.3% (70/210) of patients, with 14.3% (30/210) involving non-BRCA genes. BRCA2 was the most frequently mutated gene contrasting with most reports from the country, in which BRCA1 predominates. The most frequent pathogenic mutation was c.4829_4830del in BRCA2, present in 8.57% of positive cases and apparently rare in other Brazilian cohorts. Additionally, 12.8% of the patients with pathogenic or likely pathogenic variants had mutations in genes associated with hereditary cancer syndromes other than HBOC. A total of 35 variants of uncertain significance were identified, most commonly in the ATM gene. By identifying pathogenic mutations in these individuals, precision medicine strategies can be implemented to improve outcomes for patients and their families.

Indexed as

Breast NeoplasmsHereditary Breast and Ovarian Cancer SyndromeOvarian NeoplasmsPrecision MedicineAdultAgedBrazilBRCA1 ProteinBRCA2 ProteinFemaleGenetic Predisposition to DiseaseGenetic TestingHigh-Throughput Nucleotide SequencingHumansMiddle AgedMutationBRCA1 ProteinBRCA1 protein, humanBRCA2 ProteinBRCA2 protein, humanHBOC in BrazilHereditary breast and ovarian cancerNext-generation sequencing

Identifiers

PMID41023008
PMCPMC12480894

What Socratic holds

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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.