Evidence map›Paper›PMID 36329109›Full record

ArticleScientific reports2022

Familial history and prevalence of BRCA1, BRCA2 and TP53 pathogenic variants in HBOC Brazilian patients from a public healthcare service.

Bruna Palma Matta, Renan Gomes, Daniel Mattos, Renata Olicio, Caroline Macedo Nascimento, Gerson Moura Ferreira, Ayslan Castro Brant, Mariana Boroni, Carolina Furtado, Valdirene Lima and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 11% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
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  7. Genomic ancestry and cancer among Latin Americans.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024
    Review
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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

12 authors at 3 institutions in 2 countries.

Bruna Palma Matta *Programa de Genética e Virologia Tumoral, Instituto Nacional de Câncer (INCA), Rio de Janeiro, Brazil.
Renan Gomes *Programa de Genética e Virologia Tumoral, Instituto Nacional de Câncer (INCA), Rio de Janeiro, Brazil.
Daniel MattosPrograma de Genética e Virologia Tumoral, Instituto Nacional de Câncer (INCA), Rio de Janeiro, Brazil.
Renata OlicioPrograma de Genética e Virologia Tumoral, Instituto Nacional de Câncer (INCA), Rio de Janeiro, Brazil.
Caroline Macedo NascimentoPrograma de Genética e Virologia Tumoral, Instituto Nacional de Câncer (INCA), Rio de Janeiro, Brazil.
Gerson Moura FerreiraCentro de Transplante de Medula Óssea, Instituto Nacional de Câncer (INCA), Rio de Janeiro, Brazil.
Ayslan Castro BrantPrograma de Genética e Virologia Tumoral, Instituto Nacional de Câncer (INCA), Rio de Janeiro, Brazil.
Mariana BoroniLaboratório de Bioinformática e Biologia Computacional, Instituto Nacional de Câncer (INCA), Rio de Janeiro, Brazil.
Carolina FurtadoPrograma de Genética e Virologia Tumoral, Instituto Nacional de Câncer (INCA), Rio de Janeiro, Brazil.
Valdirene LimaPrograma de Genética e Virologia Tumoral, Instituto Nacional de Câncer (INCA), Rio de Janeiro, Brazil.
Miguel Ângelo Martins MoreiraPrograma de Genética e Virologia Tumoral, Instituto Nacional de Câncer (INCA), Rio de Janeiro, Brazil.
Anna Cláudia Evangelista Dos SantosPrograma de Genética e Virologia Tumoral, Instituto Nacional de Câncer (INCA), Rio de Janeiro, Brazil. acsantos@inca.gov.br.
Instituto Nacional do Câncer · BRNational Cancer Institute · USUniversidade Federal do Rio de Janeiro · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several studies have demonstrated the cost-effectiveness of genetic testing for surveillance and treatment of carriers of germline pathogenic variants associated with hereditary breast/ovarian cancer syndrome (HBOC). In Brazil, seventy percent of the population is assisted by the public Unified Health System (SUS), where genetic testing is still unavailable. And few studies were performed regarding the prevalence of HBOC pathogenic variants in this context. Here, we estimated the prevalence of germline pathogenic variants in BRCA1, BRCA2 and TP53 genes in Brazilian patients suspected of HBOC and referred to public healthcare service. Predictive power of risk prediction models for detecting mutation carriers was also evaluated. We found that 41 out of 257 tested patients (15.9%) were carriers of pathogenic variants in the analyzed genes. Most frequent pathogenic variant was the founder Brazilian mutation TP53 c.1010G > A (p.Arg337His), adding to the accumulated evidence that supports inclusion of TP53 in routine testing of Brazilian HBOC patients. Surprisingly, BRCA1 c.5266dupC (p.Gln1756fs), a frequently reported pathogenic variant in Brazilian HBOC patients, was not observed. Regarding the use of predictive models, we found that familial history of cancer might be used to improve selection or prioritization of patients for genetic testing, especially in a context of limited resources.

Indexed as

Breast NeoplasmsNeoplastic Syndromes, HereditaryOvarian NeoplasmsBrazilBRCA1 ProteinBRCA2 ProteinCarcinoma, Ovarian EpithelialDelivery of Health CareFemaleGenetic Predisposition to DiseaseGerm-Line MutationHumansPrevalenceTumor Suppressor Protein p53BRCA1 ProteinBRCA1 protein, humanBRCA2 ProteinBRCA2 protein, humanTP53 protein, humanTumor Suppressor Protein p53

Identifiers

PMID36329109
PMCPMC9633799
OpenAlexW4308252783

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.