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Association of LncRNA MEG3 polymorphisms with efficacy of neoadjuvant chemotherapy in breast cancer

BACKGROUND: Breast cancer is the most common malignancy in women, and neoadjuvant chemotherapy has been recommended to the patients with locally advanced breast cancer as the initial treatments. Long non-coding RNA (lncRNA) MEG3, an identified tumor suppressor, has been implicated in the development...

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Autores principales: Bayarmaa, Battseren, Wu, Ziping, Peng, Jing, Wang, Yan, Xu, Shuguang, Yan, Tingting, Yin, Wenjin, Lu, Jinsong, Zhou, Liheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6727505/
https://www.ncbi.nlm.nih.gov/pubmed/31488093
http://dx.doi.org/10.1186/s12885-019-6077-3
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author Bayarmaa, Battseren
Wu, Ziping
Peng, Jing
Wang, Yan
Xu, Shuguang
Yan, Tingting
Yin, Wenjin
Lu, Jinsong
Zhou, Liheng
author_facet Bayarmaa, Battseren
Wu, Ziping
Peng, Jing
Wang, Yan
Xu, Shuguang
Yan, Tingting
Yin, Wenjin
Lu, Jinsong
Zhou, Liheng
author_sort Bayarmaa, Battseren
collection PubMed
description BACKGROUND: Breast cancer is the most common malignancy in women, and neoadjuvant chemotherapy has been recommended to the patients with locally advanced breast cancer as the initial treatments. Long non-coding RNA (lncRNA) MEG3, an identified tumor suppressor, has been implicated in the development of various cancers. However, there is no data to evaluate the effect of MEG3 polymorphisms on neoadjuvant treatment in the breast cancer. METHODS: Genotyping was performed using Nanodispenser Spectro CHIP chip spotting and Mass ARRAY Compact System. Univariate and multivariate logistic regression analyses were used to analyze the associations between the MEG3 polymorphisms and the pathological complete response (pCR). The disease-free survival (DFS) was estimated by the Kaplan-Meier method, and multivariate Cox proportional hazards models were used to calculate the hazard ratios (HRs) with a 95% confidential interval (CI). RESULTS: A total of 144 patients with available pretreatment blood species were enrolled in the SHPD002 clinic trial of neoadjuvant chemotherapy for breast cancer. MEG3 rs10132552 were significantly associated with good response (Adjusted OR = 2.79, 95% CI 1.096–7.103, p = 0.031) in dominant model. Median follow-up time was 20 months. In multiple regression analysis, rs10132552 TC + CC (adjusted HR = 0.127, 95% CI 0.22–0.728, p = 0.02) and rs941576 AG + GG (adjusted HR = 0.183, 95% CI 0.041–0.807, p = 0.025) were significantly associated with good DFS. MEG3 rs7158663 (OR = 0.377, 95% CI 0.155–0.917, p = 0.032) were associated with a low risk of hemoglobin decrease in dominant models. CONCLUSIONS: LncRNA MEG3 polymorphisms were associated with the chemotherapy response and toxicity of paclitaxel and cisplatin. The result indicates that MEG3 polymorphisms can be considered as the predictive and prognostic markers for the breast cancer patients. TRIAL REGISTRATION: Retrospectively registered (ClinicalTrials. Gov identifier: NCT02221999); date of registration: Aug 20th, 2014. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12885-019-6077-3) contains supplementary material, which is available to authorized users.
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spelling pubmed-67275052019-09-12 Association of LncRNA MEG3 polymorphisms with efficacy of neoadjuvant chemotherapy in breast cancer Bayarmaa, Battseren Wu, Ziping Peng, Jing Wang, Yan Xu, Shuguang Yan, Tingting Yin, Wenjin Lu, Jinsong Zhou, Liheng BMC Cancer Research Article BACKGROUND: Breast cancer is the most common malignancy in women, and neoadjuvant chemotherapy has been recommended to the patients with locally advanced breast cancer as the initial treatments. Long non-coding RNA (lncRNA) MEG3, an identified tumor suppressor, has been implicated in the development of various cancers. However, there is no data to evaluate the effect of MEG3 polymorphisms on neoadjuvant treatment in the breast cancer. METHODS: Genotyping was performed using Nanodispenser Spectro CHIP chip spotting and Mass ARRAY Compact System. Univariate and multivariate logistic regression analyses were used to analyze the associations between the MEG3 polymorphisms and the pathological complete response (pCR). The disease-free survival (DFS) was estimated by the Kaplan-Meier method, and multivariate Cox proportional hazards models were used to calculate the hazard ratios (HRs) with a 95% confidential interval (CI). RESULTS: A total of 144 patients with available pretreatment blood species were enrolled in the SHPD002 clinic trial of neoadjuvant chemotherapy for breast cancer. MEG3 rs10132552 were significantly associated with good response (Adjusted OR = 2.79, 95% CI 1.096–7.103, p = 0.031) in dominant model. Median follow-up time was 20 months. In multiple regression analysis, rs10132552 TC + CC (adjusted HR = 0.127, 95% CI 0.22–0.728, p = 0.02) and rs941576 AG + GG (adjusted HR = 0.183, 95% CI 0.041–0.807, p = 0.025) were significantly associated with good DFS. MEG3 rs7158663 (OR = 0.377, 95% CI 0.155–0.917, p = 0.032) were associated with a low risk of hemoglobin decrease in dominant models. CONCLUSIONS: LncRNA MEG3 polymorphisms were associated with the chemotherapy response and toxicity of paclitaxel and cisplatin. The result indicates that MEG3 polymorphisms can be considered as the predictive and prognostic markers for the breast cancer patients. TRIAL REGISTRATION: Retrospectively registered (ClinicalTrials. Gov identifier: NCT02221999); date of registration: Aug 20th, 2014. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12885-019-6077-3) contains supplementary material, which is available to authorized users. BioMed Central 2019-09-05 /pmc/articles/PMC6727505/ /pubmed/31488093 http://dx.doi.org/10.1186/s12885-019-6077-3 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Bayarmaa, Battseren
Wu, Ziping
Peng, Jing
Wang, Yan
Xu, Shuguang
Yan, Tingting
Yin, Wenjin
Lu, Jinsong
Zhou, Liheng
Association of LncRNA MEG3 polymorphisms with efficacy of neoadjuvant chemotherapy in breast cancer
title Association of LncRNA MEG3 polymorphisms with efficacy of neoadjuvant chemotherapy in breast cancer
title_full Association of LncRNA MEG3 polymorphisms with efficacy of neoadjuvant chemotherapy in breast cancer
title_fullStr Association of LncRNA MEG3 polymorphisms with efficacy of neoadjuvant chemotherapy in breast cancer
title_full_unstemmed Association of LncRNA MEG3 polymorphisms with efficacy of neoadjuvant chemotherapy in breast cancer
title_short Association of LncRNA MEG3 polymorphisms with efficacy of neoadjuvant chemotherapy in breast cancer
title_sort association of lncrna meg3 polymorphisms with efficacy of neoadjuvant chemotherapy in breast cancer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6727505/
https://www.ncbi.nlm.nih.gov/pubmed/31488093
http://dx.doi.org/10.1186/s12885-019-6077-3
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