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Association of EGLN2 rs10680577 Polymorphism with the Risk and Clinicopathological Features of Patients with Prostate Cancer

Several studies have evaluated the association between EGLN2 4-bp insertion/deletion (ins/del) polymorphism (rs10680577) and many cancers. However, up to date, no study has inspected the impact of rs10680577 polymorphism on prostate cancer (PCa) risk. This case-control study was achieved on 170 path...

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Detalles Bibliográficos
Autores principales: Rahimi, Nahid, Azizi, Mahsa, Bahari, Gholamreza, Narouie, Behzad, Hashemi, Mohammad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: West Asia Organization for Cancer Prevention 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7541883/
https://www.ncbi.nlm.nih.gov/pubmed/32458625
http://dx.doi.org/10.31557/APJCP.2020.21.5.1221
Descripción
Sumario:Several studies have evaluated the association between EGLN2 4-bp insertion/deletion (ins/del) polymorphism (rs10680577) and many cancers. However, up to date, no study has inspected the impact of rs10680577 polymorphism on prostate cancer (PCa) risk. This case-control study was achieved on 170 pathologically confirmed PCa patients and 196 cancer free men to inspect whether rs10680577 variant is related to the risk and clinicopathological features of patients with PCa. Genotyping was performed by mismatched polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP). The findings did not support an association between the variant with the risk and clinicopathological characteristics of PCa patients. When we pooled our results with six preceding studies, the findings suggested that rs10680577 variant significantly augmented the risk of overall cancer in heterozygous (OR=1.38, 95 % CI=1.26-1.52, p<0.00001, ins/del vs ins/ins), homozygous (OR=1.66, 95 % CI=1.05-2.61, p=0.029, del/del vs ins/ins), codominant (OR=1.44, 95%CI=1.32-1.58, p<0.00001, ins/del+del/del vs ins/ins), and allele (OR=1.32, 95%CI=1.18-1.49, p<0.00001, del vs ins) genetic models. Additional well designed studies with larger sample sizes are necessary to confirm our findings.