The impact of genetic variants in the CYP2C8 gene on bladder cancer susceptibility
Bladder cancer is the most common leading cause of mortality around the world. Previous studies have indicated that genetic factors are significantly associated with bladder cancer progression-for instance, the CYP2C8 gene is involved in bladder cancer progression. However, little is known about the...
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Published in | Frontiers in endocrinology (Lausanne) Vol. 13; p. 989030 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Frontiers Media S.A
28.09.2022
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Subjects | |
Online Access | Get full text |
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Summary: | Bladder cancer is the most common leading cause of mortality around the world. Previous studies have indicated that genetic factors are significantly associated with bladder cancer progression-for instance, the CYP2C8 gene is involved in bladder cancer progression. However, little is known about the impact of CYP2C8 genetic polymorphisms on bladder cancer risk. We aimed to detect the association between CYP2C8 variations and bladder cancer susceptibility.BackgroundBladder cancer is the most common leading cause of mortality around the world. Previous studies have indicated that genetic factors are significantly associated with bladder cancer progression-for instance, the CYP2C8 gene is involved in bladder cancer progression. However, little is known about the impact of CYP2C8 genetic polymorphisms on bladder cancer risk. We aimed to detect the association between CYP2C8 variations and bladder cancer susceptibility.This study included 550 healthy subjects and 217 bladder cancer patients. The odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to determine the correlation of CYP2C8 polymorphisms with bladder cancer risk. Multifactor dimensionality reduction (MDR) was carried out to investigate the influence of single-nucleotide polymorphism (SNP)-SNP interactions on bladder cancer.MethodsThis study included 550 healthy subjects and 217 bladder cancer patients. The odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to determine the correlation of CYP2C8 polymorphisms with bladder cancer risk. Multifactor dimensionality reduction (MDR) was carried out to investigate the influence of single-nucleotide polymorphism (SNP)-SNP interactions on bladder cancer.Our study showed that two SNPs were significantly associated with an increased risk of bladder cancer (rs1934951: OR 1.96, 95% CI 1.37-2.82, p = 2.67E-04; rs17110453: OR 1.89, 95% CI 1.35-2.67, p = 2.53E-04). On the contrary, two SNPs identified in the study had protective effects on bladder cancer (rs1934953: OR 0.26, 95% CI 0.14-0.47, p = 1.20E-05; rs2275620: OR 0.40, 95% CI 0.21-0.76, p = 0.005). The MDR analysis suggested that the combination of rs1934953, rs1934951, rs2275620, and rs17110453 was the best model to predict bladder cancer (CVC 10/10, testing accuracy 0.6720, p < 0.0001).ResultsOur study showed that two SNPs were significantly associated with an increased risk of bladder cancer (rs1934951: OR 1.96, 95% CI 1.37-2.82, p = 2.67E-04; rs17110453: OR 1.89, 95% CI 1.35-2.67, p = 2.53E-04). On the contrary, two SNPs identified in the study had protective effects on bladder cancer (rs1934953: OR 0.26, 95% CI 0.14-0.47, p = 1.20E-05; rs2275620: OR 0.40, 95% CI 0.21-0.76, p = 0.005). The MDR analysis suggested that the combination of rs1934953, rs1934951, rs2275620, and rs17110453 was the best model to predict bladder cancer (CVC 10/10, testing accuracy 0.6720, p < 0.0001).There was a significant association between CYP2C8 polymorphisms (rs1934953, rs1934951, rs2275620, and rs17110453) and susceptibility to bladder cancer.ConclusionThere was a significant association between CYP2C8 polymorphisms (rs1934953, rs1934951, rs2275620, and rs17110453) and susceptibility to bladder cancer. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 This article was submitted to Cancer Endocrinology, a section of the journal Frontiers in Endocrinology These authors have contributed equally to this work Edited by: Wei Wu, Nanjing Medical University, China Reviewed by: Octavian Sabin Tataru, George Emil Palade University of Medicine, Pharmacy, Sciences and Technology of Târgu Mureş, Romania; Lan Ma, Nanjing Medical University, China |
ISSN: | 1664-2392 1664-2392 |
DOI: | 10.3389/fendo.2022.989030 |