Bioinformatics prediction of differential miRNAs in non-small cell lung cancer.

<h4>Background</h4>Non-small cell lung cancer (NSCLC) accounts for 85% of all lung cancers. The drug resistance of NSCLC has clinically increased. This study aimed to screen miRNAs associated with NSCLC using bioinformatics analysis. We hope that the screened miRNA can provide a research...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Kui Xiao, Shenggang Liu, Yijia Xiao, Yang Wang, Zhiruo Zhu, Yaohui Wang, De Tong, Jiehan Jiang
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/8d247f7283da43b5b649252660011d70
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:8d247f7283da43b5b649252660011d70
record_format	dspace
spelling	oai:doaj.org-article:8d247f7283da43b5b649252660011d702021-12-02T20:06:42ZBioinformatics prediction of differential miRNAs in non-small cell lung cancer.1932-620310.1371/journal.pone.0254854https://doaj.org/article/8d247f7283da43b5b649252660011d702021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0254854https://doaj.org/toc/1932-6203<h4>Background</h4>Non-small cell lung cancer (NSCLC) accounts for 85% of all lung cancers. The drug resistance of NSCLC has clinically increased. This study aimed to screen miRNAs associated with NSCLC using bioinformatics analysis. We hope that the screened miRNA can provide a research direction for the subsequent treatment of NSCLC.<h4>Methods</h4>We screened out the common miRNAs after compared the NSCLC-related genes in the TCGA database and GEO database. Selected miRNA was performed ROC analysis, survival analysis, and enrichment analysis (GO term and KEGG pathway).<h4>Results</h4>A total of 21 miRNAs were screened in the two databases. And they were all highly expressed in normal and low in cancerous tissues. Hsa-mir-30a was selected by ROC analysis and survival analysis. Enrichment analysis showed that the function of hsa-mir-30a is mainly related to cell cycle regulation and drug metabolism.<h4>Conclusion</h4>Our study found that hsa-mir-30a was differentially expressed in NSCLC, and it mainly affected NSCLC by regulating the cell cycle and drug metabolism.Kui XiaoShenggang LiuYijia XiaoYang WangZhiruo ZhuYaohui WangDe TongJiehan JiangPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 7, p e0254854 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Kui Xiao Shenggang Liu Yijia Xiao Yang Wang Zhiruo Zhu Yaohui Wang De Tong Jiehan Jiang Bioinformatics prediction of differential miRNAs in non-small cell lung cancer.
description	<h4>Background</h4>Non-small cell lung cancer (NSCLC) accounts for 85% of all lung cancers. The drug resistance of NSCLC has clinically increased. This study aimed to screen miRNAs associated with NSCLC using bioinformatics analysis. We hope that the screened miRNA can provide a research direction for the subsequent treatment of NSCLC.<h4>Methods</h4>We screened out the common miRNAs after compared the NSCLC-related genes in the TCGA database and GEO database. Selected miRNA was performed ROC analysis, survival analysis, and enrichment analysis (GO term and KEGG pathway).<h4>Results</h4>A total of 21 miRNAs were screened in the two databases. And they were all highly expressed in normal and low in cancerous tissues. Hsa-mir-30a was selected by ROC analysis and survival analysis. Enrichment analysis showed that the function of hsa-mir-30a is mainly related to cell cycle regulation and drug metabolism.<h4>Conclusion</h4>Our study found that hsa-mir-30a was differentially expressed in NSCLC, and it mainly affected NSCLC by regulating the cell cycle and drug metabolism.
format	article
author	Kui Xiao Shenggang Liu Yijia Xiao Yang Wang Zhiruo Zhu Yaohui Wang De Tong Jiehan Jiang
author_facet	Kui Xiao Shenggang Liu Yijia Xiao Yang Wang Zhiruo Zhu Yaohui Wang De Tong Jiehan Jiang
author_sort	Kui Xiao
title	Bioinformatics prediction of differential miRNAs in non-small cell lung cancer.
title_short	Bioinformatics prediction of differential miRNAs in non-small cell lung cancer.
title_full	Bioinformatics prediction of differential miRNAs in non-small cell lung cancer.
title_fullStr	Bioinformatics prediction of differential miRNAs in non-small cell lung cancer.
title_full_unstemmed	Bioinformatics prediction of differential miRNAs in non-small cell lung cancer.
title_sort	bioinformatics prediction of differential mirnas in non-small cell lung cancer.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/8d247f7283da43b5b649252660011d70
work_keys_str_mv	AT kuixiao bioinformaticspredictionofdifferentialmirnasinnonsmallcelllungcancer AT shenggangliu bioinformaticspredictionofdifferentialmirnasinnonsmallcelllungcancer AT yijiaxiao bioinformaticspredictionofdifferentialmirnasinnonsmallcelllungcancer AT yangwang bioinformaticspredictionofdifferentialmirnasinnonsmallcelllungcancer AT zhiruozhu bioinformaticspredictionofdifferentialmirnasinnonsmallcelllungcancer AT yaohuiwang bioinformaticspredictionofdifferentialmirnasinnonsmallcelllungcancer AT detong bioinformaticspredictionofdifferentialmirnasinnonsmallcelllungcancer AT jiehanjiang bioinformaticspredictionofdifferentialmirnasinnonsmallcelllungcancer
_version_	1718375372567871488

Bioinformatics prediction of differential miRNAs in non-small cell lung cancer.

Ejemplares similares