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Noninvasive Identification of Immune-Related Biomarkers in Hepatocellular Carcinoma

Primary liver carcinoma is one of the most common malignant tumors with a poor prognosis. This study aims to uncover the potential mechanisms and identify core biomarkers of hepatocellular carcinoma (HCC). The HCC gene expression profile GSE49515 was chosen to analyze the differentially expressed ge...

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Autores principales: Li, Ling, Zhao, Huijia, Chen, Binyao, Huang, Kang, Hao, Zhuowen, Fan, Zhipeng, Sun, Gongpeng, Wu, Jianguo, Li, Ning, Ye, Qifa, Yue, Jiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6721356/
https://www.ncbi.nlm.nih.gov/pubmed/31531018
http://dx.doi.org/10.1155/2019/2531932
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author Li, Ling
Zhao, Huijia
Chen, Binyao
Huang, Kang
Hao, Zhuowen
Fan, Zhipeng
Sun, Gongpeng
Wu, Jianguo
Li, Ning
Ye, Qifa
Yue, Jiang
author_facet Li, Ling
Zhao, Huijia
Chen, Binyao
Huang, Kang
Hao, Zhuowen
Fan, Zhipeng
Sun, Gongpeng
Wu, Jianguo
Li, Ning
Ye, Qifa
Yue, Jiang
author_sort Li, Ling
collection PubMed
description Primary liver carcinoma is one of the most common malignant tumors with a poor prognosis. This study aims to uncover the potential mechanisms and identify core biomarkers of hepatocellular carcinoma (HCC). The HCC gene expression profile GSE49515 was chosen to analyze the differentially expressed genes from purified RNA of peripheral blood mononuclear cells, including 10 HCC patients and 10 normal individuals. GO and KEGG pathway analysis and PPI network were used, and the enrichment of the core genes out of 15 hub genes was evaluated using GEPIA and GSEA, respectively. We employed flow cytometry to count mononuclear cells to verify our opinions. In this analysis, 344 DEGs were captured, including 188 upregulated genes and 156 downregulated genes; besides that, 15 hub genes were identified. GO analysis and KEGG analysis showed the DEGs were particularly involved in immune response, antigen processing and presentation, and infection and inflammation. The PPI network uncovered 2 modules were also mainly involved in immune response. In conclusion, our analysis disclosed the immune subversion was the major signature of HCC associated closely with JUN, VEGFA, TNFSF10, and TLR4, which could be novel noninvasive biomarkers in peripheral blood and targets for early diagnosis and therapy of HCC.
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spelling pubmed-67213562019-09-17 Noninvasive Identification of Immune-Related Biomarkers in Hepatocellular Carcinoma Li, Ling Zhao, Huijia Chen, Binyao Huang, Kang Hao, Zhuowen Fan, Zhipeng Sun, Gongpeng Wu, Jianguo Li, Ning Ye, Qifa Yue, Jiang J Oncol Research Article Primary liver carcinoma is one of the most common malignant tumors with a poor prognosis. This study aims to uncover the potential mechanisms and identify core biomarkers of hepatocellular carcinoma (HCC). The HCC gene expression profile GSE49515 was chosen to analyze the differentially expressed genes from purified RNA of peripheral blood mononuclear cells, including 10 HCC patients and 10 normal individuals. GO and KEGG pathway analysis and PPI network were used, and the enrichment of the core genes out of 15 hub genes was evaluated using GEPIA and GSEA, respectively. We employed flow cytometry to count mononuclear cells to verify our opinions. In this analysis, 344 DEGs were captured, including 188 upregulated genes and 156 downregulated genes; besides that, 15 hub genes were identified. GO analysis and KEGG analysis showed the DEGs were particularly involved in immune response, antigen processing and presentation, and infection and inflammation. The PPI network uncovered 2 modules were also mainly involved in immune response. In conclusion, our analysis disclosed the immune subversion was the major signature of HCC associated closely with JUN, VEGFA, TNFSF10, and TLR4, which could be novel noninvasive biomarkers in peripheral blood and targets for early diagnosis and therapy of HCC. Hindawi 2019-08-18 /pmc/articles/PMC6721356/ /pubmed/31531018 http://dx.doi.org/10.1155/2019/2531932 Text en Copyright © 2019 Ling Li et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Li, Ling
Zhao, Huijia
Chen, Binyao
Huang, Kang
Hao, Zhuowen
Fan, Zhipeng
Sun, Gongpeng
Wu, Jianguo
Li, Ning
Ye, Qifa
Yue, Jiang
Noninvasive Identification of Immune-Related Biomarkers in Hepatocellular Carcinoma
title Noninvasive Identification of Immune-Related Biomarkers in Hepatocellular Carcinoma
title_full Noninvasive Identification of Immune-Related Biomarkers in Hepatocellular Carcinoma
title_fullStr Noninvasive Identification of Immune-Related Biomarkers in Hepatocellular Carcinoma
title_full_unstemmed Noninvasive Identification of Immune-Related Biomarkers in Hepatocellular Carcinoma
title_short Noninvasive Identification of Immune-Related Biomarkers in Hepatocellular Carcinoma
title_sort noninvasive identification of immune-related biomarkers in hepatocellular carcinoma
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6721356/
https://www.ncbi.nlm.nih.gov/pubmed/31531018
http://dx.doi.org/10.1155/2019/2531932
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