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MicroRNA expression profiles predict progression and clinical outcome in lung adenocarcinoma

Lung cancer is one of the leading causes of cancer death worldwide. Accumulating evidence has indicated that microRNAs (miRNAs) can be proposed as promising diagnostic and prognostic markers for various cancers. The current study analyzed the miRNA expression profiles of 418 lung adenocarcinoma (LUA...

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Autores principales: Lin, Kang, Xu, Tao, He, Bang-Shun, Pan, Yu-Qin, Sun, Hui-Ling, Peng, Hong-Xin, Hu, Xiu-Xiu, Wang, Shu-Kui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5029843/
https://www.ncbi.nlm.nih.gov/pubmed/27695346
http://dx.doi.org/10.2147/OTT.S111241
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author Lin, Kang
Xu, Tao
He, Bang-Shun
Pan, Yu-Qin
Sun, Hui-Ling
Peng, Hong-Xin
Hu, Xiu-Xiu
Wang, Shu-Kui
author_facet Lin, Kang
Xu, Tao
He, Bang-Shun
Pan, Yu-Qin
Sun, Hui-Ling
Peng, Hong-Xin
Hu, Xiu-Xiu
Wang, Shu-Kui
author_sort Lin, Kang
collection PubMed
description Lung cancer is one of the leading causes of cancer death worldwide. Accumulating evidence has indicated that microRNAs (miRNAs) can be proposed as promising diagnostic and prognostic markers for various cancers. The current study analyzed the miRNA expression profiles of 418 lung adenocarcinoma (LUAD) cases obtained from The Cancer Genome Atlas dataset, with the aim to investigate the relationship of miRNAs with progression and prognosis of LUAD. A total of 185 miRNAs were found to be differentially expressed between LUAD tumor tissues and adjacent normal tissues. Among them, 13, 10, 0, and 10 miRNAs were discovered to be associated with pathologic T, N, M, and Stage, respectively. Interestingly, mir-200 family (mir-200a, mir-200b, and mir-429) was shown to play a critical role in the progression of LUAD. In the multivariate Cox regression analysis, mir-1468 (P=0.009), mir-212 (P=0.026), mir-3653 (P=0.012), and mir-31 (P=0.002) were significantly correlated with recurrence-free survival. With regard to overall survival, mir-551b (P=0.011), mir-3653 (P=0.016), and mir-31 (P=0.001) were proven as independent prognostic markers. In summary, this study identified the cancer-specific miRNAs that may predict the progression and prognosis of LUAD.
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spelling pubmed-50298432016-09-30 MicroRNA expression profiles predict progression and clinical outcome in lung adenocarcinoma Lin, Kang Xu, Tao He, Bang-Shun Pan, Yu-Qin Sun, Hui-Ling Peng, Hong-Xin Hu, Xiu-Xiu Wang, Shu-Kui Onco Targets Ther Original Research Lung cancer is one of the leading causes of cancer death worldwide. Accumulating evidence has indicated that microRNAs (miRNAs) can be proposed as promising diagnostic and prognostic markers for various cancers. The current study analyzed the miRNA expression profiles of 418 lung adenocarcinoma (LUAD) cases obtained from The Cancer Genome Atlas dataset, with the aim to investigate the relationship of miRNAs with progression and prognosis of LUAD. A total of 185 miRNAs were found to be differentially expressed between LUAD tumor tissues and adjacent normal tissues. Among them, 13, 10, 0, and 10 miRNAs were discovered to be associated with pathologic T, N, M, and Stage, respectively. Interestingly, mir-200 family (mir-200a, mir-200b, and mir-429) was shown to play a critical role in the progression of LUAD. In the multivariate Cox regression analysis, mir-1468 (P=0.009), mir-212 (P=0.026), mir-3653 (P=0.012), and mir-31 (P=0.002) were significantly correlated with recurrence-free survival. With regard to overall survival, mir-551b (P=0.011), mir-3653 (P=0.016), and mir-31 (P=0.001) were proven as independent prognostic markers. In summary, this study identified the cancer-specific miRNAs that may predict the progression and prognosis of LUAD. Dove Medical Press 2016-09-15 /pmc/articles/PMC5029843/ /pubmed/27695346 http://dx.doi.org/10.2147/OTT.S111241 Text en © 2016 Lin et al. This work is published and licensed by Dove Medical Press Limited The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.
spellingShingle Original Research
Lin, Kang
Xu, Tao
He, Bang-Shun
Pan, Yu-Qin
Sun, Hui-Ling
Peng, Hong-Xin
Hu, Xiu-Xiu
Wang, Shu-Kui
MicroRNA expression profiles predict progression and clinical outcome in lung adenocarcinoma
title MicroRNA expression profiles predict progression and clinical outcome in lung adenocarcinoma
title_full MicroRNA expression profiles predict progression and clinical outcome in lung adenocarcinoma
title_fullStr MicroRNA expression profiles predict progression and clinical outcome in lung adenocarcinoma
title_full_unstemmed MicroRNA expression profiles predict progression and clinical outcome in lung adenocarcinoma
title_short MicroRNA expression profiles predict progression and clinical outcome in lung adenocarcinoma
title_sort microrna expression profiles predict progression and clinical outcome in lung adenocarcinoma
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5029843/
https://www.ncbi.nlm.nih.gov/pubmed/27695346
http://dx.doi.org/10.2147/OTT.S111241
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