Evidence map›Paper›PMID 31983162›Full record

ArticleAsian Pacific journal of cancer prevention : APJCP2020

Association between PSCA, TNF-α, PARP1 and TP53 Gene Polymorphisms and Gastric Cancer Susceptibility in the Brazilian Population.

Roberto Nery Dantas, Augusto Monteiro de Souza, Sylvia Satomi Takeno Herrero, Paulo Kassab, Carlos Alberto Malheiros, Eleonidas Moura Lima

Open access · goldAbstract read
In one paragraph

Article in Asian Pacific journal of cancer prevention : APJCP, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 41% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. 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

6 authors at 1 institution in 1 country.

Roberto Nery DantasLaboratory of Molecular and Structural Biology Oncogenetics, LBMEO, Federal University of Paraiba; João Pessoa - PB, Brazil.ORCID 0000-0003-2510-3471
Augusto Monteiro de SouzaLaboratory of Molecular and Structural Biology Oncogenetics, LBMEO, Federal University of Paraiba; João Pessoa - PB, Brazil.ORCID 0000-0002-6269-5536
Sylvia Satomi Takeno HerreroLaboratory of Molecular and Structural Biology Oncogenetics, LBMEO, Federal University of Paraiba; João Pessoa - PB, Brazil.
Paulo KassabPostgraduation Program in Health Sciences, Santa Casa de São Paulo Medical Sciences Faculty, Sao Paulo - SP, Brazil.
Carlos Alberto MalheirosPostgraduation Program in Health Sciences, Santa Casa de São Paulo Medical Sciences Faculty, Sao Paulo - SP, Brazil.
Eleonidas Moura LimaLaboratory of Molecular and Structural Biology Oncogenetics, LBMEO, Federal University of Paraiba; João Pessoa - PB, Brazil.ORCID 0000-0002-8504-3514
Universidade Federal da Paraíba · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate the association of allelic and genotypic frequencies of PSCA (rs2976392), TNF-α (rs1800629), PARP1 (rs1136410) and TP53 (rs368771578) SNPs with GC susceptibility in a Brazilian population. MATERIALS AND

methodsThis is a retrospective study, which included 102 paraffin-embedded adenocarcinoma tissue samples > 5 years of obtention, with 204 alleles for each studied SNP. Other 102 healthy tissue samples were included as controls. For analysis, the genotyping method Dideoxy Single Allele-Specific - PCR was used. Statistical analysis was performed with the Bioestat software 5.3, determining Hardy-Weinberg's equilibrium for the genotypic frequencies p-values < 0.05 were considered significant.

resultsPSCA (rs2976392) and TNF-α (rs1800629) SNPs were associated with GC in the analyzed samples (X2=10.3/102 and p<0.001/0.00001, respectively). TNF-α (rs1800629) SNP presented also a statistically significant relationship between its genotypes and the morphological pattern (intestinal/diffuse) (p<0.032). However, PARP1 (rs1136410) and TP53 (rs368771578) SNPs were in Hardy-Weinberg's equilibrium and, therefore, were not significantly associated with GC in these samples (X2=0.73/2.89 and p<0.39/0.08).

conclusionsPSCA (rs2976392) and TNF-α (rs1800629) SNPs are potential molecular markers of susceptibility to GC development. PARP1 (rs1136410) and TP53 (rs368771578) SNPs were not associated with the risk of GC development.

Indexed as

AdenocarcinomaAllelesAntigens, NeoplasmBiomarkers, TumorBrazilCase-Control StudiesFemaleGene FrequencyGenetic Predisposition to DiseaseGenotypeGPI-Linked ProteinsHumansMaleMiddle AgedNeoplasm ProteinsPoly (ADP-Ribose) Polymerase-1Antigens, NeoplasmBiomarkers, TumorGPI-Linked ProteinsNeoplasm ProteinsPARP1 protein, humanPoly (ADP-Ribose) Polymerase-1PSCA protein, humanTP53 protein, humanTumor Necrosis Factor-alphaTumor Suppressor Protein p53Gastric cancerGenotypingMolecular markersSingle nucleotide polymorphism

Identifiers

PMID31983162
PMCPMC7294041
OpenAlexW3003534802

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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.