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

BACKGROUND: 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. METHODS: In this study, differences in...

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Autores principales: Zhou, Jian, Zhu, Yue, Ma, Songlin, Li, Yi, Liu, Kun, Xu, Sihuan, Li, Xin, Li, Li, Hu, Junfang, Liu, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8535175/
https://www.ncbi.nlm.nih.gov/pubmed/34679093
http://dx.doi.org/10.1371/journal.pone.0258797
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author Zhou, Jian
Zhu, Yue
Ma, Songlin
Li, Yi
Liu, Kun
Xu, Sihuan
Li, Xin
Li, Li
Hu, Junfang
Liu, Yan
author_facet Zhou, Jian
Zhu, Yue
Ma, Songlin
Li, Yi
Liu, Kun
Xu, Sihuan
Li, Xin
Li, Li
Hu, Junfang
Liu, Yan
author_sort Zhou, Jian
collection PubMed
description BACKGROUND: 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. METHODS: 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). RESULTS: 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. CONCLUSION: In conclusion, this study discovers that DYNC1I1 can be used as a prognostic marker for LIHC male patients.
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spelling pubmed-85351752021-10-23 Bioinformatics analysis identifies DYNC1I1 as prognosis marker in male patients with liver hepatocellular carcinoma Zhou, Jian Zhu, Yue Ma, Songlin Li, Yi Liu, Kun Xu, Sihuan Li, Xin Li, Li Hu, Junfang Liu, Yan PLoS One Research Article BACKGROUND: 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. METHODS: 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). RESULTS: 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. CONCLUSION: In conclusion, this study discovers that DYNC1I1 can be used as a prognostic marker for LIHC male patients. Public Library of Science 2021-10-22 /pmc/articles/PMC8535175/ /pubmed/34679093 http://dx.doi.org/10.1371/journal.pone.0258797 Text en © 2021 Zhou et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Zhou, Jian
Zhu, Yue
Ma, Songlin
Li, Yi
Liu, Kun
Xu, Sihuan
Li, Xin
Li, Li
Hu, Junfang
Liu, Yan
Bioinformatics analysis identifies DYNC1I1 as prognosis marker in male patients with liver hepatocellular carcinoma
title 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_short 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
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8535175/
https://www.ncbi.nlm.nih.gov/pubmed/34679093
http://dx.doi.org/10.1371/journal.pone.0258797
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