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Plasma miRNAs in predicting radiosensitivity in non-small cell lung cancer

BACKGROUND: Radioresistance of thoracic radiotherapy is a major bottleneck in the treatment of non-small cell lung cancer (NSCLC). Until now, there have been no effective biomarkers to predict the radiosensitivity. PURPOSES: Based on miRNA profile screened from NSCLC cell lines with different radios...

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Autores principales: Chen, Xu, Xu, Yanmei, Liao, Xingyun, Liao, Rongxia, Zhang, Luping, Niu, Kai, Li, Tao, Li, Dezhi, Chen, Zhengtang, Duan, Yuzhong, Sun, Jianguo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5080326/
https://www.ncbi.nlm.nih.gov/pubmed/27075472
http://dx.doi.org/10.1007/s13277-016-5052-8
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author Chen, Xu
Xu, Yanmei
Liao, Xingyun
Liao, Rongxia
Zhang, Luping
Niu, Kai
Li, Tao
Li, Dezhi
Chen, Zhengtang
Duan, Yuzhong
Sun, Jianguo
author_facet Chen, Xu
Xu, Yanmei
Liao, Xingyun
Liao, Rongxia
Zhang, Luping
Niu, Kai
Li, Tao
Li, Dezhi
Chen, Zhengtang
Duan, Yuzhong
Sun, Jianguo
author_sort Chen, Xu
collection PubMed
description BACKGROUND: Radioresistance of thoracic radiotherapy is a major bottleneck in the treatment of non-small cell lung cancer (NSCLC). Until now, there have been no effective biomarkers to predict the radiosensitivity. PURPOSES: Based on miRNA profile screened from NSCLC cell lines with different radiosensitivity, this study was conducted to explore the correlation between plasma miRNAs and radiotherapy response in NSCLC patients, and to identify biomarkers of the radiosensitivity in NSCLC. METHODS: Differentially expressed genes were acquired from time-series gene expression profiles of radioresistant H1299 and radiosensitive H460 lung cancer cells (GSE20549). Potential miRNAs were screened from these differentially expressed genes by combining bioinformatics with GO analysis, pathway analysis, and miRNA prediction. A clinical observational study was performed to explore the correlation between candidate miRNAs and radiotherapy response. Stage IIIa–IV NSCLC patients who received two to four cycles of previous chemotherapy and underwent thoracic radiotherapy alone were included. Total RNA was purified from peripheral blood before radiotherapy, and plasma miRNAs were detected by real-time PCR (qRT-PCR). Then, tumor response, progression-free survival (PFS), and overall survival (OS) were acquired. Four miRNAs significantly different between effective and ineffective groups were further analyzed to obtain cutpoints from receiver operating characteristic (ROC) curves and the predictive value of radiosensitivity. RESULTS: Candidate miRNAs included 14 miRNAs screened from radioresistant genes and five from radiosensitive genes. From Jan., 2013 to Dec., 2014, 54 eligible patients were enrolled with a median follow-up of 15.3 months (range 4.6 to 31.4) by the deadline of Aug. 31, 2015. Totally, there were no case of complete response (CR), 15 of partial response (PR), 35 of stable disease (SD), and 4 of progressive disease (PD). Eight patients had no progression and 19 patients were still alive. The median PFS and OS were 6.6 months (range 2.3 to 29.3) and 15.3 months (range 4.6 to 31.4), respectively. Four miRNAs (hsa-miR-98-5p, hsa-miR-302e, hsa-miR-495-3p, and hsa-miR-613) demonstrated a higher expression in effective group (CR + PR, 15 cases) than in ineffective group (SD + PD, 39 cases). Based on each cutpoint, objective response rate (ORR) was higher in miR-high group than in miR-low group. No miRNA showed correlation with median PFS or OS. CONCLUSION: Bioinformatical analysis and clinical verification reveal the correlation between plasma miRNAs and radiosensitivity in NSCLC patients. Plasma miRNAs represent novel biomarkers to predict radiotherapy response clinically. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s13277-016-5052-8) contains supplementary material, which is available to authorized users.
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spelling pubmed-50803262016-11-07 Plasma miRNAs in predicting radiosensitivity in non-small cell lung cancer Chen, Xu Xu, Yanmei Liao, Xingyun Liao, Rongxia Zhang, Luping Niu, Kai Li, Tao Li, Dezhi Chen, Zhengtang Duan, Yuzhong Sun, Jianguo Tumour Biol Original Article BACKGROUND: Radioresistance of thoracic radiotherapy is a major bottleneck in the treatment of non-small cell lung cancer (NSCLC). Until now, there have been no effective biomarkers to predict the radiosensitivity. PURPOSES: Based on miRNA profile screened from NSCLC cell lines with different radiosensitivity, this study was conducted to explore the correlation between plasma miRNAs and radiotherapy response in NSCLC patients, and to identify biomarkers of the radiosensitivity in NSCLC. METHODS: Differentially expressed genes were acquired from time-series gene expression profiles of radioresistant H1299 and radiosensitive H460 lung cancer cells (GSE20549). Potential miRNAs were screened from these differentially expressed genes by combining bioinformatics with GO analysis, pathway analysis, and miRNA prediction. A clinical observational study was performed to explore the correlation between candidate miRNAs and radiotherapy response. Stage IIIa–IV NSCLC patients who received two to four cycles of previous chemotherapy and underwent thoracic radiotherapy alone were included. Total RNA was purified from peripheral blood before radiotherapy, and plasma miRNAs were detected by real-time PCR (qRT-PCR). Then, tumor response, progression-free survival (PFS), and overall survival (OS) were acquired. Four miRNAs significantly different between effective and ineffective groups were further analyzed to obtain cutpoints from receiver operating characteristic (ROC) curves and the predictive value of radiosensitivity. RESULTS: Candidate miRNAs included 14 miRNAs screened from radioresistant genes and five from radiosensitive genes. From Jan., 2013 to Dec., 2014, 54 eligible patients were enrolled with a median follow-up of 15.3 months (range 4.6 to 31.4) by the deadline of Aug. 31, 2015. Totally, there were no case of complete response (CR), 15 of partial response (PR), 35 of stable disease (SD), and 4 of progressive disease (PD). Eight patients had no progression and 19 patients were still alive. The median PFS and OS were 6.6 months (range 2.3 to 29.3) and 15.3 months (range 4.6 to 31.4), respectively. Four miRNAs (hsa-miR-98-5p, hsa-miR-302e, hsa-miR-495-3p, and hsa-miR-613) demonstrated a higher expression in effective group (CR + PR, 15 cases) than in ineffective group (SD + PD, 39 cases). Based on each cutpoint, objective response rate (ORR) was higher in miR-high group than in miR-low group. No miRNA showed correlation with median PFS or OS. CONCLUSION: Bioinformatical analysis and clinical verification reveal the correlation between plasma miRNAs and radiosensitivity in NSCLC patients. Plasma miRNAs represent novel biomarkers to predict radiotherapy response clinically. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s13277-016-5052-8) contains supplementary material, which is available to authorized users. Springer Netherlands 2016-04-13 /pmc/articles/PMC5080326/ /pubmed/27075472 http://dx.doi.org/10.1007/s13277-016-5052-8 Text en © The Author(s) 2016 Open Access This 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.
spellingShingle Original Article
Chen, Xu
Xu, Yanmei
Liao, Xingyun
Liao, Rongxia
Zhang, Luping
Niu, Kai
Li, Tao
Li, Dezhi
Chen, Zhengtang
Duan, Yuzhong
Sun, Jianguo
Plasma miRNAs in predicting radiosensitivity in non-small cell lung cancer
title Plasma miRNAs in predicting radiosensitivity in non-small cell lung cancer
title_full Plasma miRNAs in predicting radiosensitivity in non-small cell lung cancer
title_fullStr Plasma miRNAs in predicting radiosensitivity in non-small cell lung cancer
title_full_unstemmed Plasma miRNAs in predicting radiosensitivity in non-small cell lung cancer
title_short Plasma miRNAs in predicting radiosensitivity in non-small cell lung cancer
title_sort plasma mirnas in predicting radiosensitivity in non-small cell lung cancer
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5080326/
https://www.ncbi.nlm.nih.gov/pubmed/27075472
http://dx.doi.org/10.1007/s13277-016-5052-8
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