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Different effects of three polymorphisms in MicroRNAs on cancer risk in Asian population: evidence from published literatures.

Xu Y, Gu L, Pan Y, Li R, Gao T, Song G, Nie Z, Chen L, Wang S, He B - PLoS ONE (2013)

Bottom Line: However, the results remain controversial for the different genetic backgrounds, living habits and environment exposed.In addition, subgroup analysis revealed of rs2910164 C allele decreased hepatocellular carcinoma (HCC), cervical cancer and prostate cancer risk among Chinese population.In conclusion, this meta-analysis indicated that rs2910164 C allele was associated with decreased cancer risk in Chinese population.

View Article: PubMed Central - PubMed

Affiliation: The Central Laboratory of Nanjing First Hospital, Nanjing Medical University, Nanjing, China.

ABSTRACT
MicroRNAs (miRNAs) are a class of small non-protein-coding RNAs, which have emerged as integrated and important post-transcriptional regulators of gene expression. It has been demonstrated that single nucleotide polymorphisms (SNPs) exist in protein-coding genes. Accumulated studies have evaluated the association of miRNA SNPs with cancer risk, especially in Asian population, which included a series of related studies. However, the results remain controversial for the different genetic backgrounds, living habits and environment exposed. To evaluate the relationship between SNPs in miRNAs and cancer risk, 21 studies focused on Asian population were enrolled for the pooled analysis for three polymorphisms rs2910164, rs11614913, rs3746444 in three miRNAs miR-146aG>C, miR-196a2C>T, miR-499A>G using odds ratios (ORs) with 95% confidence intervals (CIs). For rs2910164 polymorphism, C allele was observed association with decreased overall cancer risk. In addition, subgroup analysis revealed of rs2910164 C allele decreased hepatocellular carcinoma (HCC), cervical cancer and prostate cancer risk among Chinese population. For rs11614913 polymorphism, TT genotype was observed to be associated with decreased cancer risk, especially for cancer type of colorectal cancer (CRC), lung cancer and country of Korea, North India. Whereas, rs3746444 G allele was an increased cancer risk factor in Chinese population, especially for breast cancer. In conclusion, this meta-analysis indicated that rs2910164 C allele was associated with decreased cancer risk in Chinese population. However, the association varied from different cancer types. Furthermore, TT genotype of rs11614913 was associated with decreased cancer risk. While different cancer types and countries contributed to different effects. Whereas, rs3746444 G allele was a risk factor in Chinese population, and the association varied from different cancer types.

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Related in: MedlinePlus

Forest plots of effect estimates for rs11614913 stratified by country (TT vs CC+CT).For each studies, the estimate of OR and its 95% CI is plotted with a box and a horizontal line. Filled diamond pooled OR and its 95% CI.
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pone-0065123-g003: Forest plots of effect estimates for rs11614913 stratified by country (TT vs CC+CT).For each studies, the estimate of OR and its 95% CI is plotted with a box and a horizontal line. Filled diamond pooled OR and its 95% CI.

Mentions: For rs11614913 polymorphism, decreased risk associations were observed in the overall pooled analysis for the comparison of homozygote model (TT vs CC: OR = 0.84, 95% CI: 0.74–0.95, Ph = 0.029) and recessive model (TT vs CC+CT: OR = 0.86, 95% CI: 0.80–0.92, Ph = 0.389) (Figure 3). Cancer types subgroup analysis revealed a significant association in the comparison of homozygote model (TT vs CC: OR = 0.70, 95% CI: 0.57–0.85, Ph = 0.284), heterozygote model (CT vs CC: OR = 0.81, 95% CI: 0.68–0.97, Ph = 0.367), dominant model (TT+CT vs CC: OR = 0.77, 95% CI: 0.65–0.91, Ph = 0.377) and recessive model (TT vs CC+CT: OR = 0.80, 95% CI: 0.69–0.94, Ph = 0.198) in colorectal cancer. Similarly, a decreased risk was observed for the comparison of homozygote model (TT vs CC: OR = 0.77, 95% CI: 0.65–0.91, Ph = 0.895), dominant model (TT+CT vs CC: OR = 0.85, 95% CI: 0.74–0.98, Ph = 0.289) and recessive model (TT vs CC+CT: OR = 0.83, 95% CI: 0.73–0.95, Ph = 0.281) in lung cancer and homozygote model (TT vs CC: OR = 0.79, 95% CI: 0.63–0.99, Ph = 0.127) in breast cancer. In contrast, an increased risk was observed in other cancers (CT vs CC: OR = 1.49, 95% CI: 1.28–1.74, Ph = 0.178; TT+CT vs CC: OR = 1.39, 95% CI: 1.20–1.61, Ph = 0.226). Subgroup analysis by country revealed a decreased risk for the comparison of recessive model in China (TT vs CC+CT: OR = 0.87, 95% CI: 0.80–0.94, Ph = 0.252) and Korea (OR = 0.83, 95% CI: 0.72–0.97, Ph = 0.327). In addition, the decreased risk was also observed for comparison of homozygote model (TT vs CC: OR = 0.77, 95% CI: 0.64–0.93, Ph = 0.616) and dominant model (TT+CT vs CC: OR = 0.84, 95% CI: 0.72–0.98, Ph = 0.162) in Korea. However, an increased risk was observed in North India (CT vs CC: OR = 1.53, 95% CI: 1.22–1.93, Ph = 0.832; TT +CT vs CC: OR = 1.43, 95% CI: 1.15–1.79, Ph = 0.796). Subgroup analysis by the source of control revealed significant decrease risk for the comparison of recessive model not only in the hospital-population based controls (TT vs CC+CT: OR = 0.79, 95% CI: 0.69–0.90, Ph = 0.295) but also in population-based controls (TT vs CC+CT: OR = 0.88, 95% CI: 0.81–0.95, Ph = 0.509), and a decreased risk for the comparison of homozygote model (TT vs CC: OR = 0.82, 95% CI: 0.74–0.91, Ph = 0.226) was revealed in population-based controls as well. Subgroup analysis determined by genotyping method showed a significant association between the polymorphism and cancer risk in both PCR-RFLP and Taqman group for the comparison of homozygote model (TT vs CC: OR = 0.81, 95% CI: 0.69–0.96, Ph = 0.044; OR = 0.71, 95% CI: 0.55–0.91, Ph = 0.740, respectively) and recessive model (TT vs CC+CT: OR = 0.87, 95% CI: 0.80–0.94, Ph = 0.444; OR = 0.69, 95% CI: 0.57–0.85, Ph = 0.903, respectively), as summarized in Table 3.


Different effects of three polymorphisms in MicroRNAs on cancer risk in Asian population: evidence from published literatures.

Xu Y, Gu L, Pan Y, Li R, Gao T, Song G, Nie Z, Chen L, Wang S, He B - PLoS ONE (2013)

Forest plots of effect estimates for rs11614913 stratified by country (TT vs CC+CT).For each studies, the estimate of OR and its 95% CI is plotted with a box and a horizontal line. Filled diamond pooled OR and its 95% CI.
© Copyright Policy
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC3672198&req=5

pone-0065123-g003: Forest plots of effect estimates for rs11614913 stratified by country (TT vs CC+CT).For each studies, the estimate of OR and its 95% CI is plotted with a box and a horizontal line. Filled diamond pooled OR and its 95% CI.
Mentions: For rs11614913 polymorphism, decreased risk associations were observed in the overall pooled analysis for the comparison of homozygote model (TT vs CC: OR = 0.84, 95% CI: 0.74–0.95, Ph = 0.029) and recessive model (TT vs CC+CT: OR = 0.86, 95% CI: 0.80–0.92, Ph = 0.389) (Figure 3). Cancer types subgroup analysis revealed a significant association in the comparison of homozygote model (TT vs CC: OR = 0.70, 95% CI: 0.57–0.85, Ph = 0.284), heterozygote model (CT vs CC: OR = 0.81, 95% CI: 0.68–0.97, Ph = 0.367), dominant model (TT+CT vs CC: OR = 0.77, 95% CI: 0.65–0.91, Ph = 0.377) and recessive model (TT vs CC+CT: OR = 0.80, 95% CI: 0.69–0.94, Ph = 0.198) in colorectal cancer. Similarly, a decreased risk was observed for the comparison of homozygote model (TT vs CC: OR = 0.77, 95% CI: 0.65–0.91, Ph = 0.895), dominant model (TT+CT vs CC: OR = 0.85, 95% CI: 0.74–0.98, Ph = 0.289) and recessive model (TT vs CC+CT: OR = 0.83, 95% CI: 0.73–0.95, Ph = 0.281) in lung cancer and homozygote model (TT vs CC: OR = 0.79, 95% CI: 0.63–0.99, Ph = 0.127) in breast cancer. In contrast, an increased risk was observed in other cancers (CT vs CC: OR = 1.49, 95% CI: 1.28–1.74, Ph = 0.178; TT+CT vs CC: OR = 1.39, 95% CI: 1.20–1.61, Ph = 0.226). Subgroup analysis by country revealed a decreased risk for the comparison of recessive model in China (TT vs CC+CT: OR = 0.87, 95% CI: 0.80–0.94, Ph = 0.252) and Korea (OR = 0.83, 95% CI: 0.72–0.97, Ph = 0.327). In addition, the decreased risk was also observed for comparison of homozygote model (TT vs CC: OR = 0.77, 95% CI: 0.64–0.93, Ph = 0.616) and dominant model (TT+CT vs CC: OR = 0.84, 95% CI: 0.72–0.98, Ph = 0.162) in Korea. However, an increased risk was observed in North India (CT vs CC: OR = 1.53, 95% CI: 1.22–1.93, Ph = 0.832; TT +CT vs CC: OR = 1.43, 95% CI: 1.15–1.79, Ph = 0.796). Subgroup analysis by the source of control revealed significant decrease risk for the comparison of recessive model not only in the hospital-population based controls (TT vs CC+CT: OR = 0.79, 95% CI: 0.69–0.90, Ph = 0.295) but also in population-based controls (TT vs CC+CT: OR = 0.88, 95% CI: 0.81–0.95, Ph = 0.509), and a decreased risk for the comparison of homozygote model (TT vs CC: OR = 0.82, 95% CI: 0.74–0.91, Ph = 0.226) was revealed in population-based controls as well. Subgroup analysis determined by genotyping method showed a significant association between the polymorphism and cancer risk in both PCR-RFLP and Taqman group for the comparison of homozygote model (TT vs CC: OR = 0.81, 95% CI: 0.69–0.96, Ph = 0.044; OR = 0.71, 95% CI: 0.55–0.91, Ph = 0.740, respectively) and recessive model (TT vs CC+CT: OR = 0.87, 95% CI: 0.80–0.94, Ph = 0.444; OR = 0.69, 95% CI: 0.57–0.85, Ph = 0.903, respectively), as summarized in Table 3.

Bottom Line: However, the results remain controversial for the different genetic backgrounds, living habits and environment exposed.In addition, subgroup analysis revealed of rs2910164 C allele decreased hepatocellular carcinoma (HCC), cervical cancer and prostate cancer risk among Chinese population.In conclusion, this meta-analysis indicated that rs2910164 C allele was associated with decreased cancer risk in Chinese population.

View Article: PubMed Central - PubMed

Affiliation: The Central Laboratory of Nanjing First Hospital, Nanjing Medical University, Nanjing, China.

ABSTRACT
MicroRNAs (miRNAs) are a class of small non-protein-coding RNAs, which have emerged as integrated and important post-transcriptional regulators of gene expression. It has been demonstrated that single nucleotide polymorphisms (SNPs) exist in protein-coding genes. Accumulated studies have evaluated the association of miRNA SNPs with cancer risk, especially in Asian population, which included a series of related studies. However, the results remain controversial for the different genetic backgrounds, living habits and environment exposed. To evaluate the relationship between SNPs in miRNAs and cancer risk, 21 studies focused on Asian population were enrolled for the pooled analysis for three polymorphisms rs2910164, rs11614913, rs3746444 in three miRNAs miR-146aG>C, miR-196a2C>T, miR-499A>G using odds ratios (ORs) with 95% confidence intervals (CIs). For rs2910164 polymorphism, C allele was observed association with decreased overall cancer risk. In addition, subgroup analysis revealed of rs2910164 C allele decreased hepatocellular carcinoma (HCC), cervical cancer and prostate cancer risk among Chinese population. For rs11614913 polymorphism, TT genotype was observed to be associated with decreased cancer risk, especially for cancer type of colorectal cancer (CRC), lung cancer and country of Korea, North India. Whereas, rs3746444 G allele was an increased cancer risk factor in Chinese population, especially for breast cancer. In conclusion, this meta-analysis indicated that rs2910164 C allele was associated with decreased cancer risk in Chinese population. However, the association varied from different cancer types. Furthermore, TT genotype of rs11614913 was associated with decreased cancer risk. While different cancer types and countries contributed to different effects. Whereas, rs3746444 G allele was a risk factor in Chinese population, and the association varied from different cancer types.

Show MeSH
Related in: MedlinePlus