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Meta-analysis of human lung cancer microRNA expression profiling studies comparing cancer tissues with normal tissues

BACKGROUND: Lung cancer is the major cause of cancer death globally, it is often diagnosed at an advanced stage and has one of the lowest survival rates of any type of cancer. The common interest in the field of lung cancer research is the identification of biomarkers for early diagnosis and accurat...

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Autores principales: Guan, Peng, Yin, Zhihua, Li, Xuelian, Wu, Wei, Zhou, Baosen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3502083/
https://www.ncbi.nlm.nih.gov/pubmed/22672859
http://dx.doi.org/10.1186/1756-9966-31-54
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author Guan, Peng
Yin, Zhihua
Li, Xuelian
Wu, Wei
Zhou, Baosen
author_facet Guan, Peng
Yin, Zhihua
Li, Xuelian
Wu, Wei
Zhou, Baosen
author_sort Guan, Peng
collection PubMed
description BACKGROUND: Lung cancer is the major cause of cancer death globally, it is often diagnosed at an advanced stage and has one of the lowest survival rates of any type of cancer. The common interest in the field of lung cancer research is the identification of biomarkers for early diagnosis and accurate prognosis. There is increasing evidence to suggest that microRNAs play important and complex roles in lung cancer. METHODS: A meta-analysis was conducted to review the published microRNA expression profiling studies that compared the microRNAs expression profiles in lung cancer tissues with those in normal lung tissues. A vote-counting strategy that considers the total number of studies reporting its differential expression, the total number of tissue samples used in the studies and the average fold change was employed. RESULTS: A total of 184 differentially expressed microRNAs were reported in the fourteen microRNA expression profiling studies that compared lung cancer tissues with normal tissues, with 61 microRNAs were reported in at least two studies. In the panel of consistently reported up-regulated microRNAs, miR-210 was reported in nine studies and miR-21 was reported in seven studies. In the consistently reported down-regulated microRNAs, miR-126 was reported in ten studies and miR-30a was reported in eight studies. Four up-regulated microRNAs (miR-210, miR-21, miR-31 and miR-182) and two down-regulated mcroiRNAs (miR-126 and miR-145) were consistently reported both in squamous carcinoma and adenocarcinoma-based subgroup analysis, with the other 14 microRNAs solely reported in one or the other subset. CONCLUSIONS: In conclusion, the top two most consistently reported up-regulated microRNAs were miR-210 and miR-21. The results of this meta-analysis of human lung cancer microRNA expression profiling studies might provide some clues of the potential biomarkers in lung cancer. Further mechanistic and external validation studies are needed for their clinical significance and role in the development of lung cancer.
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spelling pubmed-35020832012-11-21 Meta-analysis of human lung cancer microRNA expression profiling studies comparing cancer tissues with normal tissues Guan, Peng Yin, Zhihua Li, Xuelian Wu, Wei Zhou, Baosen J Exp Clin Cancer Res Research BACKGROUND: Lung cancer is the major cause of cancer death globally, it is often diagnosed at an advanced stage and has one of the lowest survival rates of any type of cancer. The common interest in the field of lung cancer research is the identification of biomarkers for early diagnosis and accurate prognosis. There is increasing evidence to suggest that microRNAs play important and complex roles in lung cancer. METHODS: A meta-analysis was conducted to review the published microRNA expression profiling studies that compared the microRNAs expression profiles in lung cancer tissues with those in normal lung tissues. A vote-counting strategy that considers the total number of studies reporting its differential expression, the total number of tissue samples used in the studies and the average fold change was employed. RESULTS: A total of 184 differentially expressed microRNAs were reported in the fourteen microRNA expression profiling studies that compared lung cancer tissues with normal tissues, with 61 microRNAs were reported in at least two studies. In the panel of consistently reported up-regulated microRNAs, miR-210 was reported in nine studies and miR-21 was reported in seven studies. In the consistently reported down-regulated microRNAs, miR-126 was reported in ten studies and miR-30a was reported in eight studies. Four up-regulated microRNAs (miR-210, miR-21, miR-31 and miR-182) and two down-regulated mcroiRNAs (miR-126 and miR-145) were consistently reported both in squamous carcinoma and adenocarcinoma-based subgroup analysis, with the other 14 microRNAs solely reported in one or the other subset. CONCLUSIONS: In conclusion, the top two most consistently reported up-regulated microRNAs were miR-210 and miR-21. The results of this meta-analysis of human lung cancer microRNA expression profiling studies might provide some clues of the potential biomarkers in lung cancer. Further mechanistic and external validation studies are needed for their clinical significance and role in the development of lung cancer. BioMed Central 2012-06-06 /pmc/articles/PMC3502083/ /pubmed/22672859 http://dx.doi.org/10.1186/1756-9966-31-54 Text en Copyright ©2012 Guan et al. licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Guan, Peng
Yin, Zhihua
Li, Xuelian
Wu, Wei
Zhou, Baosen
Meta-analysis of human lung cancer microRNA expression profiling studies comparing cancer tissues with normal tissues
title Meta-analysis of human lung cancer microRNA expression profiling studies comparing cancer tissues with normal tissues
title_full Meta-analysis of human lung cancer microRNA expression profiling studies comparing cancer tissues with normal tissues
title_fullStr Meta-analysis of human lung cancer microRNA expression profiling studies comparing cancer tissues with normal tissues
title_full_unstemmed Meta-analysis of human lung cancer microRNA expression profiling studies comparing cancer tissues with normal tissues
title_short Meta-analysis of human lung cancer microRNA expression profiling studies comparing cancer tissues with normal tissues
title_sort meta-analysis of human lung cancer microrna expression profiling studies comparing cancer tissues with normal tissues
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3502083/
https://www.ncbi.nlm.nih.gov/pubmed/22672859
http://dx.doi.org/10.1186/1756-9966-31-54
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