Impacts of Interleukin-10 Promoter Genotypes on Prostate Cancer

Prostate cancer (PCa) is a multifactorial disease influenced by genetic, environmental, and immunological factors. Genetic polymorphisms in the <i>interleukin-10</i> (<i>IL-10</i>) gene have been implicated in PCa susceptibility, development, and progression. This study aims to assess the contributions of three <i>IL-10</i> promoter single nucleotide polymorphisms (SNPs), A-1082G (rs1800896), T-819C (rs3021097), and A-592C (rs1800872), to the risk of PCa in Taiwan. The three <i>IL-10</i> genotypes were determined using PCR-RFLP methodology and were evaluated for their contributions to PCa risk among 218 PCa patients and 436 non-PCa controls. None of the three <i>IL-10</i> SNPs were significantly associated with the risks of PCa (<i>p</i> all > 0.05) in the overall analyses. However, the GG at rs1800896 combined with smoking behavior was found to significantly increase the risk of PCa by 3.90-fold (95% confidence interval [95% CI] = 1.28-11.89, <i>p</i> = 0.0231). In addition, the rs1800896 AG and GGs were found to be correlated with the late stages of PCa (odds ratio [OR] = 1.90 and 6.42, 95% CI = 1.05-3.45 and 2.30-17.89, <i>p</i> = 0.0452 and 0.0003, respectively). The <i>IL-10</i> promoter SNP, A-1082G (rs1800896), might be a risk factor for PCa development among smokers and those at late stages of the disease. These findings should be validated in larger and more diverse populations.

Authors

Institutions

Publication Details

Journal
Life
Published
2024-08-20
DOI
https://doi.org/10.3390/life14081035
Citations
1
Primary Topic
Cytokine Signaling Pathways and Interactions
Type
article
Field-Weighted Citation Impact
0.28

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Impacts of Interleukin-10 Promoter Genotypes on Prostate Cancer

YUN-CHI WANG, Chung-Lin Tsai, Jian Gu, Da‐Tian Bau et al.
1 citations
Life
Cytokine Signaling Pathways and Interactions
0.28
article

Impacts of Interleukin-10 Promoter Genotypes on Prostate Cancer

YUN-CHI WANG, Chung-Lin Tsai, Jian Gu, Da‐Tian Bau, Chia‐Wen Tsai, YU-TING CHIN, Hung-Huan Ma, Shu-Yu Chang, Da‐Chuan Cheng, Wen-Shin Chang, Hou-Yu Shih
article en
1 citations

Abstract

Prostate cancer (PCa) is a multifactorial disease influenced by genetic, environmental, and immunological factors. Genetic polymorphisms in the <i>interleukin-10</i> (<i>IL-10</i>) gene have been implicated in PCa susceptibility, development, and progression. This study aims to assess the contributions of three <i>IL-10</i> promoter single nucleotide polymorphisms (SNPs), A-1082G (rs1800896), T-819C (rs3021097), and A-592C (rs1800872), to the risk of PCa in Taiwan. The three <i>IL-10</i> genotypes were determined using PCR-RFLP methodology and were evaluated for their contributions to PCa risk among 218 PCa patients and 436 non-PCa controls. None of the three <i>IL-10</i> SNPs were significantly associated with the risks of PCa (<i>p</i> all > 0.05) in the overall analyses. However, the GG at rs1800896 combined with smoking behavior was found to significantly increase the risk of PCa by 3.90-fold (95% confidence interval [95% CI] = 1.28-11.89, <i>p</i> = 0.0231). In addition, the rs1800896 AG and GGs were found to be correlated with the late stages of PCa (odds ratio [OR] = 1.90 and 6.42, 95% CI = 1.05-3.45 and 2.30-17.89, <i>p</i> = 0.0452 and 0.0003, respectively). The <i>IL-10</i> promoter SNP, A-1082G (rs1800896), might be a risk factor for PCa development among smokers and those at late stages of the disease. These findings should be validated in larger and more diverse populations.

LifeVol. 14(8)
The University of Texas MD Anderson Cancer Center (US), Asia University (TW), China Medical University (TW), Taichung Veterans General Hospital (TW), Ministry of Health and Welfare (TW), China Medical University Hospital (TW), Taichung Hospital (TW), Chang Hua Hospital (TW)
Taichung Veterans General Hospital
Life in Land
Openalex Percentile: Top 36%
Cytokine Signaling Pathways and Interactions
0.28
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.