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SNPs within microRNA binding sites and the prognosis of breast cancer

Single nucleotide polymorphisms (SNPs) within microRNA binding sites can affect the binding of microRNA to mRNA and regulate gene expression, thereby contributing to cancer prognosis. Here we performed a two-stage study of 2647 breast cancer patients to explore the association between SNPs within mi...

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Autores principales: Zhang, Liwen, Han, Lu, Huang, Yubei, Feng, Ziwei, Wang, Xin, Li, Haixin, Song, Fangfang, Liu, Luyang, Li, Junxian, Zheng, Hong, Wang, Peishan, Song, Fengju, Chen, Kexin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7993692/
https://www.ncbi.nlm.nih.gov/pubmed/33658398
http://dx.doi.org/10.18632/aging.202612
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author Zhang, Liwen
Han, Lu
Huang, Yubei
Feng, Ziwei
Wang, Xin
Li, Haixin
Song, Fangfang
Liu, Luyang
Li, Junxian
Zheng, Hong
Wang, Peishan
Song, Fengju
Chen, Kexin
author_facet Zhang, Liwen
Han, Lu
Huang, Yubei
Feng, Ziwei
Wang, Xin
Li, Haixin
Song, Fangfang
Liu, Luyang
Li, Junxian
Zheng, Hong
Wang, Peishan
Song, Fengju
Chen, Kexin
author_sort Zhang, Liwen
collection PubMed
description Single nucleotide polymorphisms (SNPs) within microRNA binding sites can affect the binding of microRNA to mRNA and regulate gene expression, thereby contributing to cancer prognosis. Here we performed a two-stage study of 2647 breast cancer patients to explore the association between SNPs within microRNA binding sites and breast cancer prognosis. In stage I, we genotyped 192 SNPs within microRNA binding sites using the Illumina Goldengate platform. In stage II, we validated SNPs associated with breast cancer prognosis in another dataset using the TaqMan platform. We identified 8 SNPs significantly associated with breast cancer prognosis in stage I (P<0.05), and only rs10878441 was statistically significant in stage II (AA vs CC, HR=2.21, 95% CI: 1.11-4.42, P=0.024). We combined the data from stage I and stage II, and found that, compared with rs10878441 AA genotype, CC genotype was associated with poor survival of breast cancer (HR=2.19, 95% CI: 1.30-3.70, P=0.003). Stratified analyses demonstrated that rs10878441 was related to breast cancer prognosis in grade II and lymph node-negative patients (P<0.05). The Leucine-rich repeat kinase 2 (LRRK2) rs10878441 CC genotype is associated with poor prognosis of breast cancer in a Chinese population and may be used as a potential prognostic biomarker for breast cancer. • The LRRK2 rs10878441 CC genotype is associated with poor prognosis of breast cancer in a Chinese population. • Stratified analyses demonstrated that rs10878441 was related to breast cancer prognosis in grade II patients and lymph node-negative patients.
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spelling pubmed-79936922021-04-06 SNPs within microRNA binding sites and the prognosis of breast cancer Zhang, Liwen Han, Lu Huang, Yubei Feng, Ziwei Wang, Xin Li, Haixin Song, Fangfang Liu, Luyang Li, Junxian Zheng, Hong Wang, Peishan Song, Fengju Chen, Kexin Aging (Albany NY) Research Paper Single nucleotide polymorphisms (SNPs) within microRNA binding sites can affect the binding of microRNA to mRNA and regulate gene expression, thereby contributing to cancer prognosis. Here we performed a two-stage study of 2647 breast cancer patients to explore the association between SNPs within microRNA binding sites and breast cancer prognosis. In stage I, we genotyped 192 SNPs within microRNA binding sites using the Illumina Goldengate platform. In stage II, we validated SNPs associated with breast cancer prognosis in another dataset using the TaqMan platform. We identified 8 SNPs significantly associated with breast cancer prognosis in stage I (P<0.05), and only rs10878441 was statistically significant in stage II (AA vs CC, HR=2.21, 95% CI: 1.11-4.42, P=0.024). We combined the data from stage I and stage II, and found that, compared with rs10878441 AA genotype, CC genotype was associated with poor survival of breast cancer (HR=2.19, 95% CI: 1.30-3.70, P=0.003). Stratified analyses demonstrated that rs10878441 was related to breast cancer prognosis in grade II and lymph node-negative patients (P<0.05). The Leucine-rich repeat kinase 2 (LRRK2) rs10878441 CC genotype is associated with poor prognosis of breast cancer in a Chinese population and may be used as a potential prognostic biomarker for breast cancer. • The LRRK2 rs10878441 CC genotype is associated with poor prognosis of breast cancer in a Chinese population. • Stratified analyses demonstrated that rs10878441 was related to breast cancer prognosis in grade II patients and lymph node-negative patients. Impact Journals 2021-02-26 /pmc/articles/PMC7993692/ /pubmed/33658398 http://dx.doi.org/10.18632/aging.202612 Text en Copyright: © 2021 Zhang 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
Zhang, Liwen
Han, Lu
Huang, Yubei
Feng, Ziwei
Wang, Xin
Li, Haixin
Song, Fangfang
Liu, Luyang
Li, Junxian
Zheng, Hong
Wang, Peishan
Song, Fengju
Chen, Kexin
SNPs within microRNA binding sites and the prognosis of breast cancer
title SNPs within microRNA binding sites and the prognosis of breast cancer
title_full SNPs within microRNA binding sites and the prognosis of breast cancer
title_fullStr SNPs within microRNA binding sites and the prognosis of breast cancer
title_full_unstemmed SNPs within microRNA binding sites and the prognosis of breast cancer
title_short SNPs within microRNA binding sites and the prognosis of breast cancer
title_sort snps within microrna binding sites and the prognosis of breast cancer
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7993692/
https://www.ncbi.nlm.nih.gov/pubmed/33658398
http://dx.doi.org/10.18632/aging.202612
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