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Evaluation of latent membrane protein 1 and microRNA-155 for the prognostic prediction of diffuse large B cell lymphoma

Diffuse large B cell lymphoma (DLBCL) has previously been demonstrated to contribute to the mortality of lymphoma with various aggressive features. The prognostic role of the biomarkers latent membrane protein (LMP) 1 and microRNA-(miR)-155 in DLBCL remain controversial. The present study primarily...

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Autores principales: Wu, Xue, Wang, Fei, Li, Yuan, Wang, Xiyong, Liu, Ping, Zhang, Haijun, Ge, Zheng, Zhang, Xiaoping, Gao, Chong, Chen, Baoan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5958882/
https://www.ncbi.nlm.nih.gov/pubmed/29844839
http://dx.doi.org/10.3892/ol.2018.8560
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author Wu, Xue
Wang, Fei
Li, Yuan
Wang, Xiyong
Liu, Ping
Zhang, Haijun
Ge, Zheng
Zhang, Xiaoping
Gao, Chong
Chen, Baoan
author_facet Wu, Xue
Wang, Fei
Li, Yuan
Wang, Xiyong
Liu, Ping
Zhang, Haijun
Ge, Zheng
Zhang, Xiaoping
Gao, Chong
Chen, Baoan
author_sort Wu, Xue
collection PubMed
description Diffuse large B cell lymphoma (DLBCL) has previously been demonstrated to contribute to the mortality of lymphoma with various aggressive features. The prognostic role of the biomarkers latent membrane protein (LMP) 1 and microRNA-(miR)-155 in DLBCL remain controversial. The present study primarily aimed to assess the effect of LMP1 and miR-155 on the survival of DLBCL patients, and additionally evaluate the clinical features to observe their influence on outcomes, compared with previous studies. Formalin-fixed and paraffin-embedded samples were collected from our center between May 2010 and December 2011. Microarray analysis, immunohistochemical analysis and reverse transcription-quantitative polymerase chain reaction were used to evaluate the expression of LMP1 and miR-155. The association between biomarkers or clinical features and patient outcomes was assessed using the log-rank statistical test, Cox proportional hazard model and Kaplan-Meier method. SPSS software was used to statistically analyze the data. A total of 82 patients were included in the present study. The results demonstrated that high expression of LMP1 and miR-155 may be associated with a poor progression-free survival rate, while a high International Prognostic Index score and high expression of LMP1 may be associated with a poor overall survival rate. These results indicated that LMP1 and miR-155 may be novel and reliable biomarkers for the prognostic prediction of lymphoma, and will potentially be analyzed in the future to evaluate patient prognosis.
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spelling pubmed-59588822018-05-29 Evaluation of latent membrane protein 1 and microRNA-155 for the prognostic prediction of diffuse large B cell lymphoma Wu, Xue Wang, Fei Li, Yuan Wang, Xiyong Liu, Ping Zhang, Haijun Ge, Zheng Zhang, Xiaoping Gao, Chong Chen, Baoan Oncol Lett Articles Diffuse large B cell lymphoma (DLBCL) has previously been demonstrated to contribute to the mortality of lymphoma with various aggressive features. The prognostic role of the biomarkers latent membrane protein (LMP) 1 and microRNA-(miR)-155 in DLBCL remain controversial. The present study primarily aimed to assess the effect of LMP1 and miR-155 on the survival of DLBCL patients, and additionally evaluate the clinical features to observe their influence on outcomes, compared with previous studies. Formalin-fixed and paraffin-embedded samples were collected from our center between May 2010 and December 2011. Microarray analysis, immunohistochemical analysis and reverse transcription-quantitative polymerase chain reaction were used to evaluate the expression of LMP1 and miR-155. The association between biomarkers or clinical features and patient outcomes was assessed using the log-rank statistical test, Cox proportional hazard model and Kaplan-Meier method. SPSS software was used to statistically analyze the data. A total of 82 patients were included in the present study. The results demonstrated that high expression of LMP1 and miR-155 may be associated with a poor progression-free survival rate, while a high International Prognostic Index score and high expression of LMP1 may be associated with a poor overall survival rate. These results indicated that LMP1 and miR-155 may be novel and reliable biomarkers for the prognostic prediction of lymphoma, and will potentially be analyzed in the future to evaluate patient prognosis. D.A. Spandidos 2018-06 2018-04-24 /pmc/articles/PMC5958882/ /pubmed/29844839 http://dx.doi.org/10.3892/ol.2018.8560 Text en Copyright: © Wu 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
Wu, Xue
Wang, Fei
Li, Yuan
Wang, Xiyong
Liu, Ping
Zhang, Haijun
Ge, Zheng
Zhang, Xiaoping
Gao, Chong
Chen, Baoan
Evaluation of latent membrane protein 1 and microRNA-155 for the prognostic prediction of diffuse large B cell lymphoma
title Evaluation of latent membrane protein 1 and microRNA-155 for the prognostic prediction of diffuse large B cell lymphoma
title_full Evaluation of latent membrane protein 1 and microRNA-155 for the prognostic prediction of diffuse large B cell lymphoma
title_fullStr Evaluation of latent membrane protein 1 and microRNA-155 for the prognostic prediction of diffuse large B cell lymphoma
title_full_unstemmed Evaluation of latent membrane protein 1 and microRNA-155 for the prognostic prediction of diffuse large B cell lymphoma
title_short Evaluation of latent membrane protein 1 and microRNA-155 for the prognostic prediction of diffuse large B cell lymphoma
title_sort evaluation of latent membrane protein 1 and microrna-155 for the prognostic prediction of diffuse large b cell lymphoma
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5958882/
https://www.ncbi.nlm.nih.gov/pubmed/29844839
http://dx.doi.org/10.3892/ol.2018.8560
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