Evidence map›Paper›PMID 32484847›Full record

ArticleGenetics and molecular biology2020

Association of polymorphisms of PTEN, AKT1, PI3K, AR, and AMACR genes in patients with prostate cancer.

Monyse de Nóbrega, Heloisa Lizotti Cilião, Marilesia Ferreira de Souza, Milene Roldão de Souza, Juliana Mara Serpeloni, Paulo Emilio Fuganti, Ilce Mara de Syllos Cólus

Open access · goldAbstract read
In one paragraph

Article in Genetics and molecular biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 16% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Adjuvant Properties of Caffeic Acid in Cancer Treatment.International journal of molecular sciences · 2024
    Review
  4. Article
  5. Targeting PI3K/Akt signaling in prostate cancer therapy.Journal of cell communication and signaling · 2023
    Review
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Powerful quantifiers for cancer transcriptomics.World journal of clinical oncology · 2020
    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

7 authors at 1 institution in 1 country.

Monyse de NóbregaUniversidade Estadual de Londrina (UEL), Departamento de Biologia Geral, Londrina, PR, Brazil.ORCID http://orcid.org/0000-0002-8646-2171
Heloisa Lizotti CiliãoUniversidade Estadual de Londrina (UEL), Departamento de Biologia Geral, Londrina, PR, Brazil.ORCID http://orcid.org/0000-0001-7602-7160
Marilesia Ferreira de SouzaUniversidade Estadual de Londrina (UEL), Departamento de Biologia Geral, Londrina, PR, Brazil.ORCID http://orcid.org/0000-0002-1556-3178
Milene Roldão de SouzaUniversidade Estadual de Londrina (UEL), Departamento de Biologia Geral, Londrina, PR, Brazil.ORCID http://orcid.org/0000-0002-8656-4071
Juliana Mara SerpeloniUniversidade Estadual de Londrina (UEL), Departamento de Biologia Geral, Londrina, PR, Brazil.ORCID http://orcid.org/0000-0001-9846-5807
Paulo Emilio FugantiHospital do Câncer de Londrina, Londrina, PR, Brazil.ORCID http://orcid.org/0000-0001-6428-1065
Ilce Mara de Syllos CólusUniversidade Estadual de Londrina (UEL), Departamento de Biologia Geral, Londrina, PR, Brazil.ORCID http://orcid.org/0000-0001-9098-1698
Universidade Estadual de Londrina · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polymorphic variants in the PTEN (rs2735343), PI3K (rs2699887), AKT1 (rs2494750), AR (rs17302090), and AMACR (rs3195676) genes were evaluated as possible molecular markers of susceptibility, prognosis, and progression of prostate cancer (PCa), in a case-control study. Samples consisted of 277 patients with PCa and 277 controls from Londrina, PR, Brazil. SNPs were analyzed by real-time PCR. A family history of cancer, including PCa, as well as level of schooling were risk factors for PCa. The data were obtained via logistic regression, using odds ratios with a CI 95%. The genotypes of AKT1 and AKT1+AR demonstrated an association with protection for the disease. The combination of SNPs with the histopathological tumor data between allele variants of AMACR, AKT1+AR, and AKT1+AMACR indicated an association with protection against seminal vesicle invasion. The polymorphisms AKT1+AR and PI3K+AR were associated with protection against tumor bilaterality. The genotype combinations PTEN+AMACR and PTEN+AR were associated with the risk of extracapsular extension. Of the five genes studied, two were associated with protection for PCa, four were associated with protection for some prognostic variables, and only one was associated with risk. Thus, these SNPs are candidates for markers to discriminate men with better or worse prognosis for PCa.

Identifiers

PMID32484847
PMCPMC7271063
OpenAlexW3032229730

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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.