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Cumulative Effect Assessment of Common Genetic Variants on Prostate Cancer: Preliminary Studies

Single nucleotide polymorphisms (SNPs) are the most common type of genetic variation among people. Genome Wide Association studies (GWASs) have generated multiple genetic variants associated with prostate cancer (PC) risk. Taking into account previously identified genetic susceptibility variants, th...

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Autores principales: Pavel, Anca Gabriela, Stambouli, Danae, Anton, Gabriela, Gener, Ismail, Preda, Adrian, Baston, Catalin, Gingu, Constantin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9687438/
https://www.ncbi.nlm.nih.gov/pubmed/36359253
http://dx.doi.org/10.3390/biomedicines10112733
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author Pavel, Anca Gabriela
Stambouli, Danae
Anton, Gabriela
Gener, Ismail
Preda, Adrian
Baston, Catalin
Gingu, Constantin
author_facet Pavel, Anca Gabriela
Stambouli, Danae
Anton, Gabriela
Gener, Ismail
Preda, Adrian
Baston, Catalin
Gingu, Constantin
author_sort Pavel, Anca Gabriela
collection PubMed
description Single nucleotide polymorphisms (SNPs) are the most common type of genetic variation among people. Genome Wide Association studies (GWASs) have generated multiple genetic variants associated with prostate cancer (PC) risk. Taking into account previously identified genetic susceptibility variants, the purpose of our study was to determine the cumulative association between four common SNPs and the overall PC risk. A total of 78 specimens from both PC and benign prostate hyperplasia (BPH) patients were included in the study. Genotyping of all selected SNPs was performed using the TaqMan assay. The association between each SNP and the PC risk was assessed individually and collectively. Analysis of the association between individual SNPs and PC risk revealed that only the rs4054823 polymorphism was significantly associated with PC, and not with BPH (p < 0.001). Statistical analysis also showed that the heterozygous genotype of the rs2735839 polymorphism is more common within the BPH group than in the PC group (p = 0.042). The cumulative effect of high-risk alleles on PC was analyzed using a logistic regression model. As a result, the carriers of at least one risk allele copy in each particular region had a cumulative odd ratio (OR) of 1.42 times, compared to subjects who did not have any of these factors. In addition, the combination of these four genetic variants increased the overall risk of PC by 52%. Our study provides further evidence of the cumulative effects of genetic risk factors on overall PC risk. These results should encourage future research to explain the interactions between known susceptibility variants and their contribution to the development and progression of PC disease.
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spelling pubmed-96874382022-11-25 Cumulative Effect Assessment of Common Genetic Variants on Prostate Cancer: Preliminary Studies Pavel, Anca Gabriela Stambouli, Danae Anton, Gabriela Gener, Ismail Preda, Adrian Baston, Catalin Gingu, Constantin Biomedicines Article Single nucleotide polymorphisms (SNPs) are the most common type of genetic variation among people. Genome Wide Association studies (GWASs) have generated multiple genetic variants associated with prostate cancer (PC) risk. Taking into account previously identified genetic susceptibility variants, the purpose of our study was to determine the cumulative association between four common SNPs and the overall PC risk. A total of 78 specimens from both PC and benign prostate hyperplasia (BPH) patients were included in the study. Genotyping of all selected SNPs was performed using the TaqMan assay. The association between each SNP and the PC risk was assessed individually and collectively. Analysis of the association between individual SNPs and PC risk revealed that only the rs4054823 polymorphism was significantly associated with PC, and not with BPH (p < 0.001). Statistical analysis also showed that the heterozygous genotype of the rs2735839 polymorphism is more common within the BPH group than in the PC group (p = 0.042). The cumulative effect of high-risk alleles on PC was analyzed using a logistic regression model. As a result, the carriers of at least one risk allele copy in each particular region had a cumulative odd ratio (OR) of 1.42 times, compared to subjects who did not have any of these factors. In addition, the combination of these four genetic variants increased the overall risk of PC by 52%. Our study provides further evidence of the cumulative effects of genetic risk factors on overall PC risk. These results should encourage future research to explain the interactions between known susceptibility variants and their contribution to the development and progression of PC disease. MDPI 2022-10-28 /pmc/articles/PMC9687438/ /pubmed/36359253 http://dx.doi.org/10.3390/biomedicines10112733 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Pavel, Anca Gabriela
Stambouli, Danae
Anton, Gabriela
Gener, Ismail
Preda, Adrian
Baston, Catalin
Gingu, Constantin
Cumulative Effect Assessment of Common Genetic Variants on Prostate Cancer: Preliminary Studies
title Cumulative Effect Assessment of Common Genetic Variants on Prostate Cancer: Preliminary Studies
title_full Cumulative Effect Assessment of Common Genetic Variants on Prostate Cancer: Preliminary Studies
title_fullStr Cumulative Effect Assessment of Common Genetic Variants on Prostate Cancer: Preliminary Studies
title_full_unstemmed Cumulative Effect Assessment of Common Genetic Variants on Prostate Cancer: Preliminary Studies
title_short Cumulative Effect Assessment of Common Genetic Variants on Prostate Cancer: Preliminary Studies
title_sort cumulative effect assessment of common genetic variants on prostate cancer: preliminary studies
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9687438/
https://www.ncbi.nlm.nih.gov/pubmed/36359253
http://dx.doi.org/10.3390/biomedicines10112733
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