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Genetic Variations in miR-30 Family Member Regulatory Regions Are Associated with Breast Cancer Risk in a Chinese Population

MicroRNAs (miRNAs) of the miR-30 family are closely linked with tumor metastasis and play key roles in the complex malignant phenotypes of cancers by targeting many tumor-related genes. Deregulated expression of miR-30 family members has been commonly observed in breast cancer. However, associations...

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Autores principales: Zhou, Jing, Wang, Lijuan, Liu, Sijun, Zhou, Wen, Jiang, Yue, Du, Jiangbo, Dai, Juncheng, Jin, Guangfu, Ma, Hongxia, Hu, Zhibin, Chen, Jiaping, Shen, Hongbing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7140140/
https://www.ncbi.nlm.nih.gov/pubmed/32309442
http://dx.doi.org/10.1155/2020/8781348
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author Zhou, Jing
Wang, Lijuan
Liu, Sijun
Zhou, Wen
Jiang, Yue
Du, Jiangbo
Dai, Juncheng
Jin, Guangfu
Ma, Hongxia
Hu, Zhibin
Chen, Jiaping
Shen, Hongbing
author_facet Zhou, Jing
Wang, Lijuan
Liu, Sijun
Zhou, Wen
Jiang, Yue
Du, Jiangbo
Dai, Juncheng
Jin, Guangfu
Ma, Hongxia
Hu, Zhibin
Chen, Jiaping
Shen, Hongbing
author_sort Zhou, Jing
collection PubMed
description MicroRNAs (miRNAs) of the miR-30 family are closely linked with tumor metastasis and play key roles in the complex malignant phenotypes of cancers by targeting many tumor-related genes. Deregulated expression of miR-30 family members has been commonly observed in breast cancer. However, associations between the genetic variants in the regulatory region of miR-30 family and the risk of breast cancer are still limited, especially in the Chinese Han population. In the present study, we conducted a case-control analysis wherein 1064 breast cancer patients and 1073 healthy controls underwent genotyping of 10 SNPs in the regulatory region of miR-30 family members. Multivariate logistic regression analyses illustrated that the rs763354 variant in the miR-30a regulatory region was linked with a significant decrease in breast cancer risk in an additive model (adjusted OR = 0.86, 95% CI: 0.75-0.98, P = 0.022). Further, eQTL analyses also indicated that this SNP was associated with miR-30a expression levels in breast cancer samples compiled in the TCGA database (P = 0.020). The Kaplan-Meier plotter showed that breast cancer patients with higher miR-30a expression have significantly better outcomes than do patients expressing low levels of this miRNA (HR = 0.75, 95% CI: 0.61-0.91, P = 0.0041). Together, these findings suggest that the miR-30a rs763354 SNP is an important regulator of breast cancer risk, thus making it a potentially viable prognostic biomarker and one that can be used to guide therapeutic treatment in affected patients.
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spelling pubmed-71401402020-04-18 Genetic Variations in miR-30 Family Member Regulatory Regions Are Associated with Breast Cancer Risk in a Chinese Population Zhou, Jing Wang, Lijuan Liu, Sijun Zhou, Wen Jiang, Yue Du, Jiangbo Dai, Juncheng Jin, Guangfu Ma, Hongxia Hu, Zhibin Chen, Jiaping Shen, Hongbing Biomed Res Int Research Article MicroRNAs (miRNAs) of the miR-30 family are closely linked with tumor metastasis and play key roles in the complex malignant phenotypes of cancers by targeting many tumor-related genes. Deregulated expression of miR-30 family members has been commonly observed in breast cancer. However, associations between the genetic variants in the regulatory region of miR-30 family and the risk of breast cancer are still limited, especially in the Chinese Han population. In the present study, we conducted a case-control analysis wherein 1064 breast cancer patients and 1073 healthy controls underwent genotyping of 10 SNPs in the regulatory region of miR-30 family members. Multivariate logistic regression analyses illustrated that the rs763354 variant in the miR-30a regulatory region was linked with a significant decrease in breast cancer risk in an additive model (adjusted OR = 0.86, 95% CI: 0.75-0.98, P = 0.022). Further, eQTL analyses also indicated that this SNP was associated with miR-30a expression levels in breast cancer samples compiled in the TCGA database (P = 0.020). The Kaplan-Meier plotter showed that breast cancer patients with higher miR-30a expression have significantly better outcomes than do patients expressing low levels of this miRNA (HR = 0.75, 95% CI: 0.61-0.91, P = 0.0041). Together, these findings suggest that the miR-30a rs763354 SNP is an important regulator of breast cancer risk, thus making it a potentially viable prognostic biomarker and one that can be used to guide therapeutic treatment in affected patients. Hindawi 2020-03-27 /pmc/articles/PMC7140140/ /pubmed/32309442 http://dx.doi.org/10.1155/2020/8781348 Text en Copyright © 2020 Jing Zhou et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Zhou, Jing
Wang, Lijuan
Liu, Sijun
Zhou, Wen
Jiang, Yue
Du, Jiangbo
Dai, Juncheng
Jin, Guangfu
Ma, Hongxia
Hu, Zhibin
Chen, Jiaping
Shen, Hongbing
Genetic Variations in miR-30 Family Member Regulatory Regions Are Associated with Breast Cancer Risk in a Chinese Population
title Genetic Variations in miR-30 Family Member Regulatory Regions Are Associated with Breast Cancer Risk in a Chinese Population
title_full Genetic Variations in miR-30 Family Member Regulatory Regions Are Associated with Breast Cancer Risk in a Chinese Population
title_fullStr Genetic Variations in miR-30 Family Member Regulatory Regions Are Associated with Breast Cancer Risk in a Chinese Population
title_full_unstemmed Genetic Variations in miR-30 Family Member Regulatory Regions Are Associated with Breast Cancer Risk in a Chinese Population
title_short Genetic Variations in miR-30 Family Member Regulatory Regions Are Associated with Breast Cancer Risk in a Chinese Population
title_sort genetic variations in mir-30 family member regulatory regions are associated with breast cancer risk in a chinese population
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7140140/
https://www.ncbi.nlm.nih.gov/pubmed/32309442
http://dx.doi.org/10.1155/2020/8781348
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