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Common genetic variants in pre-microRNAs and risk of breast cancer in the North Indian population

OBJECTIVE: MicroRNAs (miRNAs) are short regulatory RNAs that can modulate gene expression and function as negative regulators. Common genetic variants like single nucleotide polymorphisms (SNPs) in miRNA genes may alter their expression or maturation resulting in varied functional consequences in ca...

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Autores principales: Bansal, C, Sharma, K L, Misra, Sanjeev, Srivastava, A N, Mittal, Balraj, Singh, U S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cancer Intelligence 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4208924/
https://www.ncbi.nlm.nih.gov/pubmed/25374621
http://dx.doi.org/10.3332/ecancer.2014.473
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author Bansal, C
Sharma, K L
Misra, Sanjeev
Srivastava, A N
Mittal, Balraj
Singh, U S
author_facet Bansal, C
Sharma, K L
Misra, Sanjeev
Srivastava, A N
Mittal, Balraj
Singh, U S
author_sort Bansal, C
collection PubMed
description OBJECTIVE: MicroRNAs (miRNAs) are short regulatory RNAs that can modulate gene expression and function as negative regulators. Common genetic variants like single nucleotide polymorphisms (SNPs) in miRNA genes may alter their expression or maturation resulting in varied functional consequences in carcinogenesis. Therefore, we evaluated the genetic variants in pre-miRNAs: hsa-miR-146a G/C (rs2910164), hsa-miR-196a2 C/T (rs11614913), and hsa-miR-499 T>C (rs3746444) for their role in breast cancer susceptibility. STUDY DESIGN: The study comprised 121 breast cancer patients, 115 with benign breast disease, and 164 controls. The genotypic frequency of miRNA polymorphisms was determined by PCR-RFLP assay. Logistic regression was used for statistical analysis using SPSS Software version 15.0. In silico analysis was done using various bioinformatics tools (F-SNP, FAST-SNP). RESULTS: The heterozygous variant of miR-146a G/C (rs2910164) is associated with the reduced risk of breast cancer at the genotype level as well as at the allele level (p < 0.05, OR = 0.5) as compared to controls. On the contrary, no significant difference was observed in the distribution of miR-196a2 C/T (rs11614913) and miR-499 T>C (rs3746444) polymorphisms in any groups both at genotype and allele levels. On the other hand, in multivariate analysis, we found that the miR-196a2 (rs11614913) C>T was associated with an increased risk of breast cancer risk in postmenopausal females (p = 0.02, OR = 3.2). We also attempted to find out the risk of malignant breast disease in relation to each of the above SNPs on dividing our data on the basis of benign and malignant status, but no significant difference was observed. In silico analysis using F-SNP showed change in transcriptional regulation by miR-146a G/C (rs2910164), miR-196a2 C/T (rs11614913) and miR-499 T>C (rs3746444) variations; the functional score was 0.100, 0.065 and 0.277, respectively. CONCLUSION: The results of the present study demonstrate that miR-146a G/C (rs2910164) polymorphism is associated with reduced genetic susceptibility to breast cancer. However, multivariate analysis showed as miR-196a2 (rs11614913) C>T to be associated with increased risk of breast cancer risk in postmenopausal females. Further multicentric studies involving a large number of cases need to be carried out to strengthen the present results.
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spelling pubmed-42089242014-11-05 Common genetic variants in pre-microRNAs and risk of breast cancer in the North Indian population Bansal, C Sharma, K L Misra, Sanjeev Srivastava, A N Mittal, Balraj Singh, U S Ecancermedicalscience Research OBJECTIVE: MicroRNAs (miRNAs) are short regulatory RNAs that can modulate gene expression and function as negative regulators. Common genetic variants like single nucleotide polymorphisms (SNPs) in miRNA genes may alter their expression or maturation resulting in varied functional consequences in carcinogenesis. Therefore, we evaluated the genetic variants in pre-miRNAs: hsa-miR-146a G/C (rs2910164), hsa-miR-196a2 C/T (rs11614913), and hsa-miR-499 T>C (rs3746444) for their role in breast cancer susceptibility. STUDY DESIGN: The study comprised 121 breast cancer patients, 115 with benign breast disease, and 164 controls. The genotypic frequency of miRNA polymorphisms was determined by PCR-RFLP assay. Logistic regression was used for statistical analysis using SPSS Software version 15.0. In silico analysis was done using various bioinformatics tools (F-SNP, FAST-SNP). RESULTS: The heterozygous variant of miR-146a G/C (rs2910164) is associated with the reduced risk of breast cancer at the genotype level as well as at the allele level (p < 0.05, OR = 0.5) as compared to controls. On the contrary, no significant difference was observed in the distribution of miR-196a2 C/T (rs11614913) and miR-499 T>C (rs3746444) polymorphisms in any groups both at genotype and allele levels. On the other hand, in multivariate analysis, we found that the miR-196a2 (rs11614913) C>T was associated with an increased risk of breast cancer risk in postmenopausal females (p = 0.02, OR = 3.2). We also attempted to find out the risk of malignant breast disease in relation to each of the above SNPs on dividing our data on the basis of benign and malignant status, but no significant difference was observed. In silico analysis using F-SNP showed change in transcriptional regulation by miR-146a G/C (rs2910164), miR-196a2 C/T (rs11614913) and miR-499 T>C (rs3746444) variations; the functional score was 0.100, 0.065 and 0.277, respectively. CONCLUSION: The results of the present study demonstrate that miR-146a G/C (rs2910164) polymorphism is associated with reduced genetic susceptibility to breast cancer. However, multivariate analysis showed as miR-196a2 (rs11614913) C>T to be associated with increased risk of breast cancer risk in postmenopausal females. Further multicentric studies involving a large number of cases need to be carried out to strengthen the present results. Cancer Intelligence 2014-10-20 /pmc/articles/PMC4208924/ /pubmed/25374621 http://dx.doi.org/10.3332/ecancer.2014.473 Text en © the authors; licensee ecancermedicalscience. http://creativecommons.org/licenses/by/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Bansal, C
Sharma, K L
Misra, Sanjeev
Srivastava, A N
Mittal, Balraj
Singh, U S
Common genetic variants in pre-microRNAs and risk of breast cancer in the North Indian population
title Common genetic variants in pre-microRNAs and risk of breast cancer in the North Indian population
title_full Common genetic variants in pre-microRNAs and risk of breast cancer in the North Indian population
title_fullStr Common genetic variants in pre-microRNAs and risk of breast cancer in the North Indian population
title_full_unstemmed Common genetic variants in pre-microRNAs and risk of breast cancer in the North Indian population
title_short Common genetic variants in pre-microRNAs and risk of breast cancer in the North Indian population
title_sort common genetic variants in pre-micrornas and risk of breast cancer in the north indian population
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4208924/
https://www.ncbi.nlm.nih.gov/pubmed/25374621
http://dx.doi.org/10.3332/ecancer.2014.473
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