Evidence map›Paper›PMID 33024147›Full record

ArticleScientific reports2020

Frequency of the TP53 R337H variant in sporadic breast cancer and its impact on genomic instability.

Carolina Mathias, Stéfanne Bortoletto, Ariana Centa, Heloisa Komechen, Rubens S Lima, Aline S Fonseca, Ana Paula Sebastião, Cícero A Urban, Emerson W S Soares, Carolina Prando and 4 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.1field-weighted citation impact, top 6% 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

9 citing papers in PubMed, 44 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Genes · 2024
    Article
  5. Structural Basis of Mutation-Dependent p53 Tetramerization Deficiency.International journal of molecular sciences · 2022
    Article
  6. Article
  7. Biomolecules · 2022
    Article
  8. Article
  9. Article
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

14 authors at 4 institutions in 1 country.

Carolina MathiasGraduate Program of Genetics, Department of Genetics, Federal University of Paraná, Curitiba, Paraná, 81531980, Brazil.
Stéfanne BortolettoFaculdades Pequeno Príncipe, Instituto de Pesquisa Pelé Pequeno Príncipe, Curitiba, Paraná, 80250060, Brazil.
Ariana CentaFaculdades Pequeno Príncipe, Instituto de Pesquisa Pelé Pequeno Príncipe, Curitiba, Paraná, 80250060, Brazil.
Heloisa KomechenFaculdades Pequeno Príncipe, Instituto de Pesquisa Pelé Pequeno Príncipe, Curitiba, Paraná, 80250060, Brazil.
Rubens S LimaBreast Disease Center, Hospital Nossa Senhora das Graças, Curitiba, Paraná, 80810040, Brazil.
Aline S FonsecaFaculdades Pequeno Príncipe, Instituto de Pesquisa Pelé Pequeno Príncipe, Curitiba, Paraná, 80250060, Brazil.
Ana Paula SebastiãoDepartment of Pathology, Hospital de Clínicas, Federal University of Paraná, Curitiba, Paraná, 81531980, Brazil.
Cícero A UrbanBreast Disease Center, Hospital Nossa Senhora das Graças, Curitiba, Paraná, 80810040, Brazil.
Emerson W S SoaresUnião Oeste Paranaense de Estudos E Combate Ao Câncer, Cascavel, Paraná, 85806300, Brazil.
Carolina PrandoFaculdades Pequeno Príncipe, Instituto de Pesquisa Pelé Pequeno Príncipe, Curitiba, Paraná, 80250060, Brazil.
Bonald C FigueiredoFaculdades Pequeno Príncipe, Instituto de Pesquisa Pelé Pequeno Príncipe, Curitiba, Paraná, 80250060, Brazil.
Iglenir J CavalliGraduate Program of Genetics, Department of Genetics, Federal University of Paraná, Curitiba, Paraná, 81531980, Brazil.
Luciane R CavalliFaculdades Pequeno Príncipe, Instituto de Pesquisa Pelé Pequeno Príncipe, Curitiba, Paraná, 80250060, Brazil. luciane.cavalli@pelepequeno.principe.org.br.
Enilze M F S RibeiroGraduate Program of Genetics, Department of Genetics, Federal University of Paraná, Curitiba, Paraná, 81531980, Brazil.
Instituto de Tecnologia do Paraná · BRUniversidade Federal do Paraná · BRHospital Nossa Senhora das Graças · BRUniversidade Estadual do Oeste do Paraná · BR

Funding

Tissue Culture Shared ResourceP30CA051008 · NCI · GEORGETOWN UNIVERSITY · PI Louis M Weiner · 1990 to 2026
$71.5M
NCI NIH HHS P30 CA051008
6 · The paper itself

Abstract

The R337H is a TP53 germline pathogenic variant that has been associated with several types of cancers, including breast cancer. Our main objective was to determine the frequency of the R337H variant in sporadic breast cancer patients from Paraná state, South Brazil, its association with prognosis and its impact in genomic instability. The genotyping of 805 breast cancer tissues revealed a genotypic and allelic frequency of the R337H variant of 2.36% and 1.18%, respectively. In these R337H+ cases a lower mean age at diagnosis was observed when compared to the R337H-cases. Array-CGH analysis showed that R337H+ patients presented a higher number of copy number alterations (CNAs), compared to the R337H-. These CNAs affected genes and miRNAs that regulate critical cancer signaling pathways; a number of these genes were associated with survival after querying the KMplot database. Furthermore, homozygous (R337H+/R337H+) fibroblasts presented increased levels of copy number variants when compared to heterozygous or R337H- cells. In conclusion, the R337H variant may contribute to 2.36% of the breast cancer cases without family cancer history in Paraná. Among other mechanisms, R337H increases the level of genomic instability, as evidenced by a higher number of CNAs in the R337H+ cases compared to the R337H-.

Indexed as

AgedAge FactorsBrazilBreast NeoplasmsCodonExonsFemaleGene DosageGene FrequencyGenomic InstabilityGerm-Line MutationHumansMiddle AgedSurvival RateTumor Suppressor Protein p53CodonTP53 protein, humanTumor Suppressor Protein p53

Identifiers

PMID33024147
PMCPMC7539008
OpenAlexW3092051359

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.