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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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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. |
format | Online Article Text |
id | pubmed-6727505 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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