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Circulating miR-451a levels as a potential biomarker to predict the prognosis of patients with multiple myeloma
The natural course of multiple myeloma (MM) varies greatly between patients. The Revised MM International Staging System (R-ISS) identifies high-risk patients, but it is unsuitable for assessing minimal residual disease (MRD). Furthermore, the focal location of myeloma cells and clonal evolution oft...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7517596/ https://www.ncbi.nlm.nih.gov/pubmed/32989397 http://dx.doi.org/10.3892/ol.2020.12126 |
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author | Zhong, Ling Jin, Xin Xu, Zhuyu Zeng, Minghui Chen, Dongmei He, Yuan Zhang, Jianbo Jiang, Tao Chen, Jiao |
author_facet | Zhong, Ling Jin, Xin Xu, Zhuyu Zeng, Minghui Chen, Dongmei He, Yuan Zhang, Jianbo Jiang, Tao Chen, Jiao |
author_sort | Zhong, Ling |
collection | PubMed |
description | The natural course of multiple myeloma (MM) varies greatly between patients. The Revised MM International Staging System (R-ISS) identifies high-risk patients, but it is unsuitable for assessing minimal residual disease (MRD). Furthermore, the focal location of myeloma cells and clonal evolution often produce false negative results in flow cytometry. Extracellular microRNA (miRNA/miR) expression levels are stable in bodily fluids, and are retrievable and measurable from fresh or archived serum or plasma samples. Therefore, the present study aimed to investigate the clinical utility of circulating miRNA levels in patients with MM, particularly miR-451a, which is commonly downregulated in MM, and whether it could predict the prognosis and relapse of patients with MM. In total, 66 patients with MM, stratified using the R-ISS criteria, were recruited, while 10 healthy subjects (transplantation donors) were enrolled as controls. Reverse transcription-quantitative PCR was used to evaluate miR-451a expression in bone marrow (BM) and in the circulation. IL-6 levels were measured using ELISA, while western blotting was conducted to analyze the protein expression levels of the IL-6 receptor (IL-6R). During follow-up, MRD was assessed via multiparameter flow cytometry (MFC). miR-451a was identified to target IL-6R using a dual-luciferase reporter assay. Circulating miR-451a levels were low in patients with MM, and was found to be 0.39 times that of the control group (U=4.00; P<0.001). Among the 66 patients with MM, the median level of miR-451a was 0.73 and 0.41 times that of the control group in R-ISS stage I MM (15 patients) and R-ISS stage II stage (17 patients), respectively; patients with R-ISS stage III MM (34 patients) had the lowest level, at 0.24 times the value of the control group. Circulating miR-451a levels had a strong positive correlation with miR-451a levels in BM, but negatively correlated with IL-6 and IL-6R levels. After two courses of consolidation chemotherapy, 19 patients achieved complete remission, 10 of whom presented steady circulating miR-451a levels during follow-up; the other nine patients had an abrupt decrease in circulating miR-451a levels. The turning points in the trend appeared 4–8 weeks before positive results were obtained via MFC, and 4–16 weeks before clinical relapse. Moreover, miR-451a overexpression notably downregulated the expression of the IL-6R mRNA and protein. Collectively, circulating miR-451a levels potentially represent a novel biomarker to monitor MRD and predict relapse. |
format | Online Article Text |
id | pubmed-7517596 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | D.A. Spandidos |
record_format | MEDLINE/PubMed |
spelling | pubmed-75175962020-09-27 Circulating miR-451a levels as a potential biomarker to predict the prognosis of patients with multiple myeloma Zhong, Ling Jin, Xin Xu, Zhuyu Zeng, Minghui Chen, Dongmei He, Yuan Zhang, Jianbo Jiang, Tao Chen, Jiao Oncol Lett Articles The natural course of multiple myeloma (MM) varies greatly between patients. The Revised MM International Staging System (R-ISS) identifies high-risk patients, but it is unsuitable for assessing minimal residual disease (MRD). Furthermore, the focal location of myeloma cells and clonal evolution often produce false negative results in flow cytometry. Extracellular microRNA (miRNA/miR) expression levels are stable in bodily fluids, and are retrievable and measurable from fresh or archived serum or plasma samples. Therefore, the present study aimed to investigate the clinical utility of circulating miRNA levels in patients with MM, particularly miR-451a, which is commonly downregulated in MM, and whether it could predict the prognosis and relapse of patients with MM. In total, 66 patients with MM, stratified using the R-ISS criteria, were recruited, while 10 healthy subjects (transplantation donors) were enrolled as controls. Reverse transcription-quantitative PCR was used to evaluate miR-451a expression in bone marrow (BM) and in the circulation. IL-6 levels were measured using ELISA, while western blotting was conducted to analyze the protein expression levels of the IL-6 receptor (IL-6R). During follow-up, MRD was assessed via multiparameter flow cytometry (MFC). miR-451a was identified to target IL-6R using a dual-luciferase reporter assay. Circulating miR-451a levels were low in patients with MM, and was found to be 0.39 times that of the control group (U=4.00; P<0.001). Among the 66 patients with MM, the median level of miR-451a was 0.73 and 0.41 times that of the control group in R-ISS stage I MM (15 patients) and R-ISS stage II stage (17 patients), respectively; patients with R-ISS stage III MM (34 patients) had the lowest level, at 0.24 times the value of the control group. Circulating miR-451a levels had a strong positive correlation with miR-451a levels in BM, but negatively correlated with IL-6 and IL-6R levels. After two courses of consolidation chemotherapy, 19 patients achieved complete remission, 10 of whom presented steady circulating miR-451a levels during follow-up; the other nine patients had an abrupt decrease in circulating miR-451a levels. The turning points in the trend appeared 4–8 weeks before positive results were obtained via MFC, and 4–16 weeks before clinical relapse. Moreover, miR-451a overexpression notably downregulated the expression of the IL-6R mRNA and protein. Collectively, circulating miR-451a levels potentially represent a novel biomarker to monitor MRD and predict relapse. D.A. Spandidos 2020-11 2020-09-21 /pmc/articles/PMC7517596/ /pubmed/32989397 http://dx.doi.org/10.3892/ol.2020.12126 Text en Copyright: © Zhong et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. |
spellingShingle | Articles Zhong, Ling Jin, Xin Xu, Zhuyu Zeng, Minghui Chen, Dongmei He, Yuan Zhang, Jianbo Jiang, Tao Chen, Jiao Circulating miR-451a levels as a potential biomarker to predict the prognosis of patients with multiple myeloma |
title | Circulating miR-451a levels as a potential biomarker to predict the prognosis of patients with multiple myeloma |
title_full | Circulating miR-451a levels as a potential biomarker to predict the prognosis of patients with multiple myeloma |
title_fullStr | Circulating miR-451a levels as a potential biomarker to predict the prognosis of patients with multiple myeloma |
title_full_unstemmed | Circulating miR-451a levels as a potential biomarker to predict the prognosis of patients with multiple myeloma |
title_short | Circulating miR-451a levels as a potential biomarker to predict the prognosis of patients with multiple myeloma |
title_sort | circulating mir-451a levels as a potential biomarker to predict the prognosis of patients with multiple myeloma |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7517596/ https://www.ncbi.nlm.nih.gov/pubmed/32989397 http://dx.doi.org/10.3892/ol.2020.12126 |
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