Bioinformatics analysis identifies DYNC1I1 as prognosis marker in male patients with liver hepatocellular carcinoma.

<h4>Background</h4>Liver hepatocellular carcinoma (LIHC) is one of the most common malignant tumors. However, the etiology and exact molecular mechanism of LIHC are still not fully understood, which makes it urgent for us to further study the molecular events behind.<h4>Methods<...

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Autores principales:	Jian Zhou, Yue Zhu, Songlin Ma, Yi Li, Kun Liu, Sihuan Xu, Xin Li, Li Li, Junfang Hu, Yan Liu
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/7fa3ddb2b4fd454ea063570186cb6f1f
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spelling	oai:doaj.org-article:7fa3ddb2b4fd454ea063570186cb6f1f2021-12-02T20:16:37ZBioinformatics analysis identifies DYNC1I1 as prognosis marker in male patients with liver hepatocellular carcinoma.1932-620310.1371/journal.pone.0258797https://doaj.org/article/7fa3ddb2b4fd454ea063570186cb6f1f2021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0258797https://doaj.org/toc/1932-6203<h4>Background</h4>Liver hepatocellular carcinoma (LIHC) is one of the most common malignant tumors. However, the etiology and exact molecular mechanism of LIHC are still not fully understood, which makes it urgent for us to further study the molecular events behind.<h4>Methods</h4>In this study, differences in mRNA expression between LIHC samples and normal adjacent samples were found through analyzing the TCGA database, and key targets were sought. We analyzed 371 LIHC samples and 50 normal adjacent samples according to P <0.01 and logFC>2.5, a total of 1092 genes were identified differentially expressed, including 995 up-regulated genes and 97 down-regulated genes. We predicted the interactions of these differentially expressed mRNAs, and used Cyto-Hubba to locate the hub gene-dynein cytoplasmic 1 intermediate chain 1 (DYNC1I1).<h4>Results</h4>Survival analysis showed that DYNC1I1 was a prognostic factor for LIHC male patients. Functional enrichment indicated that DYNC1I1 and differentially expressed interacting proteins were involved in the cell cycle.<h4>Conclusion</h4>In conclusion, this study discovers that DYNC1I1 can be used as a prognostic marker for LIHC male patients.Jian ZhouYue ZhuSonglin MaYi LiKun LiuSihuan XuXin LiLi LiJunfang HuYan LiuPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 10, p e0258797 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Jian Zhou Yue Zhu Songlin Ma Yi Li Kun Liu Sihuan Xu Xin Li Li Li Junfang Hu Yan Liu Bioinformatics analysis identifies DYNC1I1 as prognosis marker in male patients with liver hepatocellular carcinoma.
description	<h4>Background</h4>Liver hepatocellular carcinoma (LIHC) is one of the most common malignant tumors. However, the etiology and exact molecular mechanism of LIHC are still not fully understood, which makes it urgent for us to further study the molecular events behind.<h4>Methods</h4>In this study, differences in mRNA expression between LIHC samples and normal adjacent samples were found through analyzing the TCGA database, and key targets were sought. We analyzed 371 LIHC samples and 50 normal adjacent samples according to P <0.01 and logFC>2.5, a total of 1092 genes were identified differentially expressed, including 995 up-regulated genes and 97 down-regulated genes. We predicted the interactions of these differentially expressed mRNAs, and used Cyto-Hubba to locate the hub gene-dynein cytoplasmic 1 intermediate chain 1 (DYNC1I1).<h4>Results</h4>Survival analysis showed that DYNC1I1 was a prognostic factor for LIHC male patients. Functional enrichment indicated that DYNC1I1 and differentially expressed interacting proteins were involved in the cell cycle.<h4>Conclusion</h4>In conclusion, this study discovers that DYNC1I1 can be used as a prognostic marker for LIHC male patients.
format	article
author	Jian Zhou Yue Zhu Songlin Ma Yi Li Kun Liu Sihuan Xu Xin Li Li Li Junfang Hu Yan Liu
author_facet	Jian Zhou Yue Zhu Songlin Ma Yi Li Kun Liu Sihuan Xu Xin Li Li Li Junfang Hu Yan Liu
author_sort	Jian Zhou
title	Bioinformatics analysis identifies DYNC1I1 as prognosis marker in male patients with liver hepatocellular carcinoma.
title_short	Bioinformatics analysis identifies DYNC1I1 as prognosis marker in male patients with liver hepatocellular carcinoma.
title_full	Bioinformatics analysis identifies DYNC1I1 as prognosis marker in male patients with liver hepatocellular carcinoma.
title_fullStr	Bioinformatics analysis identifies DYNC1I1 as prognosis marker in male patients with liver hepatocellular carcinoma.
title_full_unstemmed	Bioinformatics analysis identifies DYNC1I1 as prognosis marker in male patients with liver hepatocellular carcinoma.
title_sort	bioinformatics analysis identifies dync1i1 as prognosis marker in male patients with liver hepatocellular carcinoma.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/7fa3ddb2b4fd454ea063570186cb6f1f
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Bioinformatics analysis identifies DYNC1I1 as prognosis marker in male patients with liver hepatocellular carcinoma.

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