| Literature DB >> 30026843 |
Wen Fu1, Li Li2, Si-Wei Xiong3, Tiesong Zhang2, Wei Jia1, Jinhong Zhu4, Zhang Zhao1, Huimin Xia1, Jing He1, Guo-Chang Liu1.
Abstract
Wilms tumor (WT) is the most prevalent urologic malignancy in childhood. Nonetheless, the genetic factors underlying WT remain largely unknown. The miR-423 rs6505162 C>A polymorphism is associated with the susceptibility to numerous cancers; however, no investigations have been conducted on its association with WT. To evaluate the correlation between the miR-423 rs6505162 C>A polymorphism and WT risk in Chinese children, we genotyped this polymorphism using the Taqman method in 145 cases and 531 cancer-free controls. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to estimate the strength of the association. The results showed that the rs6505162 CA genotype was associated with decreased susceptibility to WT (CA versus CC: adjusted OR=0.65, 95% CI=0.42-0.99, P=0.047). In the stratified analysis, we found that CA/AA genotypes conferred a significantly decreased overall risk of WT in children younger than 18 months (adjusted OR=0.30, 95% CI=0.14-0.63, P=0.002) and those with clinical stage I+II WT (adjusted OR=0.42, 95% CI=0.20-0.85, P=0.017) when compared with CC genotype. In summary, the miR-423 rs6505162 C>A polymorphism may negatively modify WT susceptibility in Chinese children. Our findings should be validated in larger studies involving other ethnicities.Entities:
Keywords: Wilms tumor; genetic susceptibility; miR-423; polymorphism
Year: 2018 PMID: 30026843 PMCID: PMC6036889 DOI: 10.7150/jca.24916
Source DB: PubMed Journal: J Cancer ISSN: 1837-9664 Impact factor: 4.207
Genotype distributions of miR-423 rs6505162 C>A polymorphism and Wilms tumor susceptibility.
| Genotype | Cases (N=145) | Controls (N=530) | Crude OR (95% CI) | Adjusted OR (95% CI) b | |||
|---|---|---|---|---|---|---|---|
| rs6505162 (HWE=0.576) | |||||||
| CC | 106 (73.10) | 342 (64.53) | 1.00 | 1.00 | |||
| CA | 34 (23.45) | 170 (32.08) | |||||
| AA | 5 (3.45) | 18 (3.40) | 0.90 (0.33-2.47) | 0.832 | 0.91 (0.33-2.50) | 0.847 | |
| Additive | 0.131 | 0.74 (0.52-1.06) | 0.099 | 0.74 (0.52-1.06) | 0.104 | ||
| Dominant | 39 (26.90) | 188 (35.47) | 0.053 | 0.67 (0.45-1.01) | 0.054 | 0.67 (0.45-1.01) | 0.057 |
| Recessive | 140 (96.55) | 512 (96.60) | 0.976 | 1.02 (0.37-2.79) | 0.976 | 1.02 (0.37-2.81) | 0.963 |
| C | 246 (84.83) | 854 (80.57) | 1.00 | 1.00 | |||
| A | 44 (15.17) | 206 (19.43) | 0.098 | 0.74 (0.52-1.06) | 0.099 | 0.75 (0.52-1.06) | 0.104 |
a χ test for genotype distributions between Wilms tumor patients and controls.
b Adjusted for age and gender.
Stratification analysis for the association between miR-423 rs6505162 C>A polymorphism and Wilms tumor risk.
| Variables | CC | CA/AA | Crude OR | Adjusted OR a | ||
|---|---|---|---|---|---|---|
| (Cases/Controls) | (95% CI) | (95% CI) | ||||
| Age, month | ||||||
| ≤18 | 57/152 | 9/81 | ||||
| >18 | 49/190 | 30/107 | 1.09 (0.65-1.82) | 0.749 | 1.09 (0.65-1.81) | 0.754 |
| Gender | ||||||
| Females | 48/147 | 16/86 | 0.57 (0.31-1.07) | 0.078 | 0.57 (0.31-1.07) | 0.081 |
| Males | 58/195 | 23/102 | 0.76 (0.44-1.30) | 0.314 | 0.76 (0.44-1.30) | 0.316 |
| Clinical stage | ||||||
| I+II | 43/342 | 10/188 | ||||
| III+IV | 56/342 | 27/188 | 0.88 (0.54-1.44) | 0.602 | 0.88 (0.54-1.44) | 0.609 |
OR, odds ratio; CI, confidence interval.
a Adjusted for age and gender.
False-positive report probability analysis for the significant findings between miR-423 rs6505162 C>A polymorphism and Wilms tumor risk.
| Genotype | Crude OR (95% CI) | Statistical power b | Prior probability | |||||
|---|---|---|---|---|---|---|---|---|
| 0.25 | 0.1 | 0.01 | 0.001 | 0.0001 | ||||
| CA vs. CC | 0.65 (0.42-0.99) | 0.045 | 0.442 | 0.234 | 0.478 | 0.910 | 0.990 | 0.999 |
| CA/AA vs. CC | ||||||||
| ≤18 | 0.30 (0.14-0.63) | 0.002 | 0.024 | 0.157 | 0.358 | 0.860 | 0.984 | 0.998 |
| I+II | 0.42 (0.21-0.86) | 0.018 | 0.116 | 0.315 | 0.580 | 0.938 | 0.994 | 0.999 |
OR, odds ratio; CI, confidence interval.
a χ2 test was adopted to calculate the genotype frequency distributions.
b Statistical power was calculated using the number of observations in the subgroup and the OR and P values in this table.