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Non-small cell lung cancer associated microRNA expression signature: integrated bioinformatics analysis, validation and clinical significance

Recently, increasing studies of miRNA expression profiling has confirmed that miRNA plays an essential role in non-small cell lung cancer (NSCLC). However, inconsistent or discrepant results exist in these researches. In present study, we performed an integrative analysis of 32 miRNA profiling studi...

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Autores principales: Li, Chunyu, Yin, Yunhong, Liu, Xiao, Xi, Xuejiao, Xue, Weixiao, Qu, Yiqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5421870/
https://www.ncbi.nlm.nih.gov/pubmed/28445945
http://dx.doi.org/10.18632/oncotarget.15596
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author Li, Chunyu
Yin, Yunhong
Liu, Xiao
Xi, Xuejiao
Xue, Weixiao
Qu, Yiqing
author_facet Li, Chunyu
Yin, Yunhong
Liu, Xiao
Xi, Xuejiao
Xue, Weixiao
Qu, Yiqing
author_sort Li, Chunyu
collection PubMed
description Recently, increasing studies of miRNA expression profiling has confirmed that miRNA plays an essential role in non-small cell lung cancer (NSCLC). However, inconsistent or discrepant results exist in these researches. In present study, we performed an integrative analysis of 32 miRNA profiling studies compared the differentially expressed miRNA between NSCLC tissue and non-cancerous lung tissue to identify candidate miRNAs associated with NSCLC. 7 upregulated and 10 downregulated miRNAs were identified as miRNA integrated-signature using Robust Rank Aggregation (RRA) method. qRT-PCR demonstrated that miR-21-5p, miR-210, miR-205-5p, miR-182-5p, miR-31-5p, miR-183-5p and miR-96-5p were up-regulated, whereas miR-126-3p, miR-30a-5p, miR-451a, miR-143-3p and miR-30d-5p were down-regulated more than 2 folds in the NSCLC, which was further validated in Tumor Cancer Genome Atlas (TCGA) database. Receiver operating characteristic (ROC) curve analysis confirmed that 9 miRNAs had good predictive performance (AUC > 0.9). Cox regression analysis revealed that miR-21-5p (hazard ratio [HR]: 1.616, 95% CI: 1.114–2.342, p = 0.011) and miR-30d-5p (HR: 0.578, 95% CI: 0.400–0.835, p = 0.003) were independent prognostic factors in NSCLC for overall survival. The accumulative effects of the two miRNAs on the prognosis of NSCLC were further estimated. The results showed that patients with two positive markers had a worse prognosis than those with one or none positive marker. In conclusion, this study contributes to the comprehension of the role of miRNAs in NSCLC and provides a basis for further clinical application.
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spelling pubmed-54218702017-05-10 Non-small cell lung cancer associated microRNA expression signature: integrated bioinformatics analysis, validation and clinical significance Li, Chunyu Yin, Yunhong Liu, Xiao Xi, Xuejiao Xue, Weixiao Qu, Yiqing Oncotarget Research Paper Recently, increasing studies of miRNA expression profiling has confirmed that miRNA plays an essential role in non-small cell lung cancer (NSCLC). However, inconsistent or discrepant results exist in these researches. In present study, we performed an integrative analysis of 32 miRNA profiling studies compared the differentially expressed miRNA between NSCLC tissue and non-cancerous lung tissue to identify candidate miRNAs associated with NSCLC. 7 upregulated and 10 downregulated miRNAs were identified as miRNA integrated-signature using Robust Rank Aggregation (RRA) method. qRT-PCR demonstrated that miR-21-5p, miR-210, miR-205-5p, miR-182-5p, miR-31-5p, miR-183-5p and miR-96-5p were up-regulated, whereas miR-126-3p, miR-30a-5p, miR-451a, miR-143-3p and miR-30d-5p were down-regulated more than 2 folds in the NSCLC, which was further validated in Tumor Cancer Genome Atlas (TCGA) database. Receiver operating characteristic (ROC) curve analysis confirmed that 9 miRNAs had good predictive performance (AUC > 0.9). Cox regression analysis revealed that miR-21-5p (hazard ratio [HR]: 1.616, 95% CI: 1.114–2.342, p = 0.011) and miR-30d-5p (HR: 0.578, 95% CI: 0.400–0.835, p = 0.003) were independent prognostic factors in NSCLC for overall survival. The accumulative effects of the two miRNAs on the prognosis of NSCLC were further estimated. The results showed that patients with two positive markers had a worse prognosis than those with one or none positive marker. In conclusion, this study contributes to the comprehension of the role of miRNAs in NSCLC and provides a basis for further clinical application. Impact Journals LLC 2017-02-21 /pmc/articles/PMC5421870/ /pubmed/28445945 http://dx.doi.org/10.18632/oncotarget.15596 Text en Copyright: © 2017 Li et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) (CC-BY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Li, Chunyu
Yin, Yunhong
Liu, Xiao
Xi, Xuejiao
Xue, Weixiao
Qu, Yiqing
Non-small cell lung cancer associated microRNA expression signature: integrated bioinformatics analysis, validation and clinical significance
title Non-small cell lung cancer associated microRNA expression signature: integrated bioinformatics analysis, validation and clinical significance
title_full Non-small cell lung cancer associated microRNA expression signature: integrated bioinformatics analysis, validation and clinical significance
title_fullStr Non-small cell lung cancer associated microRNA expression signature: integrated bioinformatics analysis, validation and clinical significance
title_full_unstemmed Non-small cell lung cancer associated microRNA expression signature: integrated bioinformatics analysis, validation and clinical significance
title_short Non-small cell lung cancer associated microRNA expression signature: integrated bioinformatics analysis, validation and clinical significance
title_sort non-small cell lung cancer associated microrna expression signature: integrated bioinformatics analysis, validation and clinical significance
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5421870/
https://www.ncbi.nlm.nih.gov/pubmed/28445945
http://dx.doi.org/10.18632/oncotarget.15596
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