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Polymorphisms in lncRNA MIR2052HG and susceptibility to breast cancer in Chinese population

Background: Published studies based on pharmacokinetics have explored the relationship between the lncRNA MIR2052HG and the prognosis of breast cancer (BC) resistance and recurrence. However, the underlying association of MIR2052HG SNPs with BC development remains unclear. Methods: Combining bioinfo...

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Autores principales: Yang, Hui, Sun, Qiuyu, Chong, Feifei, Jiang, Xiaoru, Wang, Yanli, Xu, Kedi, Zou, Yuanlin, Xu, Linping, Song, Chunhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8610136/
https://www.ncbi.nlm.nih.gov/pubmed/34762068
http://dx.doi.org/10.18632/aging.203686
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author Yang, Hui
Sun, Qiuyu
Chong, Feifei
Jiang, Xiaoru
Wang, Yanli
Xu, Kedi
Zou, Yuanlin
Xu, Linping
Song, Chunhua
author_facet Yang, Hui
Sun, Qiuyu
Chong, Feifei
Jiang, Xiaoru
Wang, Yanli
Xu, Kedi
Zou, Yuanlin
Xu, Linping
Song, Chunhua
author_sort Yang, Hui
collection PubMed
description Background: Published studies based on pharmacokinetics have explored the relationship between the lncRNA MIR2052HG and the prognosis of breast cancer (BC) resistance and recurrence. However, the underlying association of MIR2052HG SNPs with BC development remains unclear. Methods: Combining bioinformatics and databases, SNPs (Single Nucleotide Polymorphisms) in the MIR2052HG gene were screened, and SNPs in the lncRNA MIR2052HG were selected for genotyping among 504 Chinese Han patients and 505 healthy controls, which were frequency-matched for age (±2 years). Logistic regression analysis was used to explore the association between MIR2052HG SNPs and the BC risk. Interactions between the MIR2052HG SNPs and reproductive factors were further evaluated using the multifactor dimensionality reduction (MDR) method. qRT–PCR was performed to detect MIR2052HG expression in individuals with different genotypes of rs34841297. The target miRNA, miR-4456 of MIR2052HG rs34841297 was predicted by websites and confirmed by performing dual luciferase gene reporter assays. CCK-8 and Transwell experiments were designed to explore the effects of miR-4456 on the proliferation, invasion and migration of BC cells. Results: In this study, nine SNPs were screened. After adjusting for age, menarche age, menopausal status, number of pregnancies, history of abortions, breast feeding history and family history of BC, the results of the logistic regression analysis showed the rs34841297 A/- gene polymorphism was positively correlated with the incidence of BC. Compared with the AA genotype, patients with the A-+-- genotype of rs34841297 at age<50 years, and menarche age<14 years, Premenopausal status, history of abortion, no history of breastfeeding and no family history of tumors in first-degree relatives had an increased risk of BC. MDR results revealed that individuals with rs34841297 - (homozygous deletion) of the A allele who were not menopausal and had no history of breastfeeding had a higher risk of BC. qRT–PCR results revealed that homozygous deletion (1.68±1.37) of the rs34841297 A- genotype resulted in higher MIR2052HG expression than the heterozygous deletion genotype (0.95±0.94) and wild AA genotype (0.26±0.12). Binding between MIR2052HG and miR-4456 was occurred when rs34841297 carried the AA genotype. Moreover, preliminary functional studies indicated that the overexpression of miR-4456 increased the proliferation, invasion and migration of BC cells. Conclusion: Our study showed that the MIR2052HG gene polymorphism may be related to BC susceptibility, and the MIR2052HG rs34841297 A/- genotype may probably affect the proliferation, invasion and migration of BC cells by modulating the interactions with of miR-4456.
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spelling pubmed-86101362021-11-24 Polymorphisms in lncRNA MIR2052HG and susceptibility to breast cancer in Chinese population Yang, Hui Sun, Qiuyu Chong, Feifei Jiang, Xiaoru Wang, Yanli Xu, Kedi Zou, Yuanlin Xu, Linping Song, Chunhua Aging (Albany NY) Research Paper Background: Published studies based on pharmacokinetics have explored the relationship between the lncRNA MIR2052HG and the prognosis of breast cancer (BC) resistance and recurrence. However, the underlying association of MIR2052HG SNPs with BC development remains unclear. Methods: Combining bioinformatics and databases, SNPs (Single Nucleotide Polymorphisms) in the MIR2052HG gene were screened, and SNPs in the lncRNA MIR2052HG were selected for genotyping among 504 Chinese Han patients and 505 healthy controls, which were frequency-matched for age (±2 years). Logistic regression analysis was used to explore the association between MIR2052HG SNPs and the BC risk. Interactions between the MIR2052HG SNPs and reproductive factors were further evaluated using the multifactor dimensionality reduction (MDR) method. qRT–PCR was performed to detect MIR2052HG expression in individuals with different genotypes of rs34841297. The target miRNA, miR-4456 of MIR2052HG rs34841297 was predicted by websites and confirmed by performing dual luciferase gene reporter assays. CCK-8 and Transwell experiments were designed to explore the effects of miR-4456 on the proliferation, invasion and migration of BC cells. Results: In this study, nine SNPs were screened. After adjusting for age, menarche age, menopausal status, number of pregnancies, history of abortions, breast feeding history and family history of BC, the results of the logistic regression analysis showed the rs34841297 A/- gene polymorphism was positively correlated with the incidence of BC. Compared with the AA genotype, patients with the A-+-- genotype of rs34841297 at age<50 years, and menarche age<14 years, Premenopausal status, history of abortion, no history of breastfeeding and no family history of tumors in first-degree relatives had an increased risk of BC. MDR results revealed that individuals with rs34841297 - (homozygous deletion) of the A allele who were not menopausal and had no history of breastfeeding had a higher risk of BC. qRT–PCR results revealed that homozygous deletion (1.68±1.37) of the rs34841297 A- genotype resulted in higher MIR2052HG expression than the heterozygous deletion genotype (0.95±0.94) and wild AA genotype (0.26±0.12). Binding between MIR2052HG and miR-4456 was occurred when rs34841297 carried the AA genotype. Moreover, preliminary functional studies indicated that the overexpression of miR-4456 increased the proliferation, invasion and migration of BC cells. Conclusion: Our study showed that the MIR2052HG gene polymorphism may be related to BC susceptibility, and the MIR2052HG rs34841297 A/- genotype may probably affect the proliferation, invasion and migration of BC cells by modulating the interactions with of miR-4456. Impact Journals 2021-11-11 /pmc/articles/PMC8610136/ /pubmed/34762068 http://dx.doi.org/10.18632/aging.203686 Text en Copyright: © 2021 Yang et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Yang, Hui
Sun, Qiuyu
Chong, Feifei
Jiang, Xiaoru
Wang, Yanli
Xu, Kedi
Zou, Yuanlin
Xu, Linping
Song, Chunhua
Polymorphisms in lncRNA MIR2052HG and susceptibility to breast cancer in Chinese population
title Polymorphisms in lncRNA MIR2052HG and susceptibility to breast cancer in Chinese population
title_full Polymorphisms in lncRNA MIR2052HG and susceptibility to breast cancer in Chinese population
title_fullStr Polymorphisms in lncRNA MIR2052HG and susceptibility to breast cancer in Chinese population
title_full_unstemmed Polymorphisms in lncRNA MIR2052HG and susceptibility to breast cancer in Chinese population
title_short Polymorphisms in lncRNA MIR2052HG and susceptibility to breast cancer in Chinese population
title_sort polymorphisms in lncrna mir2052hg and susceptibility to breast cancer in chinese population
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8610136/
https://www.ncbi.nlm.nih.gov/pubmed/34762068
http://dx.doi.org/10.18632/aging.203686
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