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Association of polymorphisms of PTEN, AKT1, PI3K, AR, and AMACR genes in patients with prostate cancer
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 patien...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Sociedade Brasileira de Genética
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7271063/ https://www.ncbi.nlm.nih.gov/pubmed/32484847 http://dx.doi.org/10.1590/1678-4685-GMB-2018-0329 |
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author | de Nóbrega, Monyse Cilião, Heloisa Lizotti de Souza, Marilesia Ferreira de Souza, Milene Roldão Serpeloni, Juliana Mara Fuganti, Paulo Emilio Cólus, Ilce Mara de Syllos |
author_facet | de Nóbrega, Monyse Cilião, Heloisa Lizotti de Souza, Marilesia Ferreira de Souza, Milene Roldão Serpeloni, Juliana Mara Fuganti, Paulo Emilio Cólus, Ilce Mara de Syllos |
author_sort | de Nóbrega, Monyse |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7271063 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Sociedade Brasileira de Genética |
record_format | MEDLINE/PubMed |
spelling | pubmed-72710632020-06-11 Association of polymorphisms of PTEN, AKT1, PI3K, AR, and AMACR genes in patients with prostate cancer de Nóbrega, Monyse Cilião, Heloisa Lizotti de Souza, Marilesia Ferreira de Souza, Milene Roldão Serpeloni, Juliana Mara Fuganti, Paulo Emilio Cólus, Ilce Mara de Syllos Genet Mol Biol Human and Medical Genetics 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. Sociedade Brasileira de Genética 2020-06-01 /pmc/articles/PMC7271063/ /pubmed/32484847 http://dx.doi.org/10.1590/1678-4685-GMB-2018-0329 Text en Copyright © 2020, Sociedade Brasileira de Genética. https://creativecommons.org/licenses/by/4.0/ License information: This is an open-access article distributed under the terms of the Creative Commons Attribution License (type CC-BY), which permits unrestricted use, distribution and reproduction in any medium, provided the original article is properly cited. |
spellingShingle | Human and Medical Genetics de Nóbrega, Monyse Cilião, Heloisa Lizotti de Souza, Marilesia Ferreira de Souza, Milene Roldão Serpeloni, Juliana Mara Fuganti, Paulo Emilio Cólus, Ilce Mara de Syllos Association of polymorphisms of PTEN, AKT1, PI3K, AR, and AMACR genes in patients with prostate cancer |
title | Association of polymorphisms of PTEN,
AKT1, PI3K, AR, and
AMACR genes in patients with prostate
cancer |
title_full | Association of polymorphisms of PTEN,
AKT1, PI3K, AR, and
AMACR genes in patients with prostate
cancer |
title_fullStr | Association of polymorphisms of PTEN,
AKT1, PI3K, AR, and
AMACR genes in patients with prostate
cancer |
title_full_unstemmed | Association of polymorphisms of PTEN,
AKT1, PI3K, AR, and
AMACR genes in patients with prostate
cancer |
title_short | Association of polymorphisms of PTEN,
AKT1, PI3K, AR, and
AMACR genes in patients with prostate
cancer |
title_sort | association of polymorphisms of pten,
akt1, pi3k, ar, and
amacr genes in patients with prostate
cancer |
topic | Human and Medical Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7271063/ https://www.ncbi.nlm.nih.gov/pubmed/32484847 http://dx.doi.org/10.1590/1678-4685-GMB-2018-0329 |
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