Analysis of multiple databases identifies crucial genes correlated with prognosis of hepatocellular carcinoma

Despite advancements made in the therapeutic strategies on hepatocellular carcinoma (HCC), the survival rate of HCC patient is not satisfactory enough. Therefore, there is an urgent need for the valuable prognostic biomarkers in HCC therapy. In this study, we aimed to screen hub genes correlated wit...

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Autores principales: Lin, Zhifeng, Huang, Xuqiong, Ji, Xiaohui, Tian, Nana, Gan, Yu, Ke, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9151754/
https://www.ncbi.nlm.nih.gov/pubmed/35637248
http://dx.doi.org/10.1038/s41598-022-13159-4
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author Lin, Zhifeng
Huang, Xuqiong
Ji, Xiaohui
Tian, Nana
Gan, Yu
Ke, Li
author_facet Lin, Zhifeng
Huang, Xuqiong
Ji, Xiaohui
Tian, Nana
Gan, Yu
Ke, Li
author_sort Lin, Zhifeng
collection PubMed
description Despite advancements made in the therapeutic strategies on hepatocellular carcinoma (HCC), the survival rate of HCC patient is not satisfactory enough. Therefore, there is an urgent need for the valuable prognostic biomarkers in HCC therapy. In this study, we aimed to screen hub genes correlated with prognosis of HCC via multiple databases. 117 HCC-related genes were obtained from the intersection of the four databases. We subsequently identify 10 hub genes (JUN, IL10, CD34, MTOR, PTGS2, PTPRC, SELE, CSF1, APOB, MUC1) from PPI network by Cytoscape software analysis. Significant differential expression of hub genes between HCC tissues and adjacent tissues were observed in UALCAN, HCCDB and HPA databases. These hub genes were significantly associated with immune cell infiltrations and immune checkpoints. The hub genes were correlated with clinical parameters and survival probability of HCC patients. 147 potential targeted therapeutic drugs for HCC were identified through the DGIdb database. These hub genes could be used as novel prognostic biomarkers for HCC therapy.
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spelling pubmed-91517542022-06-01 Analysis of multiple databases identifies crucial genes correlated with prognosis of hepatocellular carcinoma Lin, Zhifeng Huang, Xuqiong Ji, Xiaohui Tian, Nana Gan, Yu Ke, Li Sci Rep Article Despite advancements made in the therapeutic strategies on hepatocellular carcinoma (HCC), the survival rate of HCC patient is not satisfactory enough. Therefore, there is an urgent need for the valuable prognostic biomarkers in HCC therapy. In this study, we aimed to screen hub genes correlated with prognosis of HCC via multiple databases. 117 HCC-related genes were obtained from the intersection of the four databases. We subsequently identify 10 hub genes (JUN, IL10, CD34, MTOR, PTGS2, PTPRC, SELE, CSF1, APOB, MUC1) from PPI network by Cytoscape software analysis. Significant differential expression of hub genes between HCC tissues and adjacent tissues were observed in UALCAN, HCCDB and HPA databases. These hub genes were significantly associated with immune cell infiltrations and immune checkpoints. The hub genes were correlated with clinical parameters and survival probability of HCC patients. 147 potential targeted therapeutic drugs for HCC were identified through the DGIdb database. These hub genes could be used as novel prognostic biomarkers for HCC therapy. Nature Publishing Group UK 2022-05-30 /pmc/articles/PMC9151754/ /pubmed/35637248 http://dx.doi.org/10.1038/s41598-022-13159-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Lin, Zhifeng
Huang, Xuqiong
Ji, Xiaohui
Tian, Nana
Gan, Yu
Ke, Li
Analysis of multiple databases identifies crucial genes correlated with prognosis of hepatocellular carcinoma
title Analysis of multiple databases identifies crucial genes correlated with prognosis of hepatocellular carcinoma
title_full Analysis of multiple databases identifies crucial genes correlated with prognosis of hepatocellular carcinoma
title_fullStr Analysis of multiple databases identifies crucial genes correlated with prognosis of hepatocellular carcinoma
title_full_unstemmed Analysis of multiple databases identifies crucial genes correlated with prognosis of hepatocellular carcinoma
title_short Analysis of multiple databases identifies crucial genes correlated with prognosis of hepatocellular carcinoma
title_sort analysis of multiple databases identifies crucial genes correlated with prognosis of hepatocellular carcinoma
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9151754/
https://www.ncbi.nlm.nih.gov/pubmed/35637248
http://dx.doi.org/10.1038/s41598-022-13159-4
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