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Research Article

CYP19A1 polymorphisms and bladder cancer risk in the Chinese Han population

, , , , , , & show all
Received 24 Mar 2024, Accepted 22 Jul 2024, Accepted author version posted online: 31 Jul 2024
 
Accepted author version

ABSTRACT

Background

The expression of CYP19A1 has implications for the prognosis of female bladder cancer. However, this study aimed to explore the association between single nucleotide polymorphisms (SNPs) in CYP19A1 and bladder cancer risk, as no prior research has addressed this association.

Research design and methods

We selected and genotyped five CYP19A1 SNPs (rs4646, rs6493487, rs1062033, rs17601876, and rs3751599) in 217 patients and 550 controls using the Agena MassARRAY system. Logistic regression analysis was employed to calculate the odds ratio (OR) and 95% confidence intervals (CIs). Bioinformatics predicted SNP functions and CYP19A1 involving pathways.

Results

Our study revealed a significant association between bladder cancer risk and four SNPs (rs4646 (AC vs. CC: OR = 1.71, FDR-p = 0.005), rs6493487 (G vs. A: OR = 0.68, FDR-p = 0.011), rs1062033 (G vs. C: OR = 0.36, FDR-p < 0.001), and rs17601876 (GA vs. GG: OR = 1.66, FDR-p = 0.008)) in CYP19A1. The three SNPs (rs4646, rs1062033, and rs17601876) were significantly correlated with CYP19A1 expression levels in normal whole blood (p < 0.05). Moreover, CYP19A1 were found to primarily participate in the steroid hormone biosynthesis and metabolic pathways.

Conclusions

Consequently, CYP19A1 gene polymorphisms may play a crucial role in the genetic susceptibility to bladder cancer.

Disclaimer

As a service to authors and researchers we are providing this version of an accepted manuscript (AM). Copyediting, typesetting, and review of the resulting proofs will be undertaken on this manuscript before final publication of the Version of Record (VoR). During production and pre-press, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal relate to these versions also.

Abbreviation list

Body mass index=

: BMI

Confidence intervals=

: CIs

Cytochrome P450 19A1=

: CYP19A1

Disease-free survival=

: DFS

Hardy-Weinberg equilibrium=

: HWE

Immunoglobulin A nephropathy=

: IgAN

Kyoto Encyclopedia of Genes and Genomes:=

KEGG

Odds ratio:=

OR

Single nucleotide polymorphisms:=

SNPs

Statistical Package for the Social Sciences:=

SPSS

Type 2 diabetes:=

T2DM

World Health Organization:=

WHO

Acknowledgements

We are grateful to all participants for their invaluable support. Additionally, we would like to extend our heartfelt thanks to the Shaanxi Provincial Cancer Hospital for their assistance in collecting and providing the samples, which was instrumental to our research.

Data availability

The datasets analyzed during the current study are available from the corresponding author upon reasonable request.

Additional information

Funding

This paper was not funded.

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