Evidence map›Paper›PMID 30596752›Full record

Trial reportPloS one2018

TP53 p.Arg337His germline mutation prevalence in Southern Brazil: Further evidence for mutation testing in young breast cancer patients.

Eriza Cristina Hahn, Camila Matzenbacher Bittar, Fernanda Sales Luis Vianna, Cristina Brinckmann Oliveira Netto, Jorge Villanova Biazús, Rodrigo Cericatto, José Antônio Cavalheiro, Márcia Portela de Melo, Carlos Henrique Menke, Eliane Rabin and 2 more

Abstract readClinical TrialMulticenter Study
In one paragraph

Trial report in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–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

10 citing papers in PubMed.

  1. Epidemiological profile of breast cancer in a reference center in the north region of Brazil.Revista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia · 2025
    Article
  2. Hereditary cancer syndromes.World journal of clinical oncology · 2023
    Review
  3. Germline Mutations Landscape in a Cohort of the State of Minas Gerais, Brazil, in Patients Who Underwent Genetic Counseling for Gynecological and Breast Cancer.Revista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia · 2023
    Article
  4. Ancestry and self-reported race in Brazilian breast cancer women.Revista da Associacao Medica Brasileira (1992) · 2023
    Observational
  5. Article
  6. Article
  7. Prevalence of the BrazilianFrontiers in genetics · 2021
    Article
  8. Review
  9. Article
  10. Review
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.

Eriza Cristina HahnPrograma de Pós-Graduação em Genética e Biologia Molecular, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.
Camila Matzenbacher BittarPrograma de Pós-Graduação em Genética e Biologia Molecular, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.
Fernanda Sales Luis ViannaPrograma de Pós-Graduação em Genética e Biologia Molecular, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.
Cristina Brinckmann Oliveira NettoServiço de Genética Médica do Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.
Jorge Villanova BiazúsServiço de Mastologia do Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.
Rodrigo CericattoServiço de Mastologia do Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.
José Antônio CavalheiroServiço de Mastologia do Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.
Márcia Portela de MeloServiço de Mastologia do Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.
Carlos Henrique MenkeServiço de Mastologia do Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.
Eliane RabinServiço de Mastologia do Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.
Sandra Leistner-SegalLaboratório de Genética Molecular, Serviço de Genética Médica do HCPA, Porto Alegre, Brazil.ORCID 0000-0003-3792-6168
Patricia Ashton-ProllaPrograma de Pós-Graduação em Genética e Biologia Molecular, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Premenopausal breast cancer (BC) is a core tumor of Li-Fraumeni (LFS) and Li-Fraumeni-like (LFL) Syndromes, predisposition disorders caused by germline mutations in TP53 gene. In the Southern and Southeastern regions of Brazil, a specific TP53 germline mutation, c.1010G>A (p.Arg337His), was identified at a population frequency of 0.3%, the highest value ever described for a TP53 germline variation. In Brazilian BC patients, carrier frequency can vary from 0.5% to 8.7%. The current study assessed carrier frequency by genotyping TP53 c.1010G>A in 2 BC groups: 1) 315 patients unselected for age of diagnosis and family history (FH) and 2) 239 patients diagnosed before 46 years and without Chompret criteria for LFS or LFL. One carrier was identified in group 1 (0.3%; CI 95% 0.1-1.76%) and six carriers in group 2 (2.5%; CI 95% 0.93-5.39%). The frequencies differed significantly between groups (p = 0.04). The mutation carrier frequency observed in group 2 could justify mutation testing in BC patients diagnosed before 46 years and without Chompret criteria for LFS or LFL. Further studies in larger samples of BC patients of different ages and regions of the country are necessary to provide more definitive TP53 p.Arg337His carrier frequencies in different scenarios.

Indexed as

GenotypeGerm-Line MutationMutation, MissenseAdultAge FactorsAmino Acid SubstitutionBrazilBreast NeoplasmsFemaleHumansMiddle AgedTumor Suppressor Protein p53TP53 protein, humanTumor Suppressor Protein p53

Identifiers

PMID30596752
PMCPMC6312227

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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.