4.6 Article

Identification of hub genes in hepatocellular carcinoma using integrated bioinformatic analysis

Journal

AGING-US
Volume 12, Issue 6, Pages 5439-5468

Publisher

IMPACT JOURNALS LLC
DOI: 10.18632/aging.102969

Keywords

hepatocellular carcinoma; hub genes; bioinformatic analysis; prognostic value; diagnostic value

Funding

  1. National Key Research and Development Program of China [2017YFA0205200]
  2. National Natural Science Foundation of China [81571785, 81771957, 81502642]
  3. China postdoctoral Science Foundation [2018M631039]
  4. Natural Science Foundation of Guangdong Province, China [2016A030311055, 2016A030313770, 2018A030313074]

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The molecular mechanisms underlying hepatocellular carcinoma (HCC) progression remain largely undefined. Here, we identified 176 commonly upregulated genes in HCC tissues based on three Gene Expression Omnibus datasets and The Cancer Genome Atlas (TCGA) cohort. We integrated survival and methylation analyses to further obtain 12 upregulated genes for validation. These genes were overexpressed in HCC tissues at the transcription and protein levels, and increased mRNA levels were related to higher tumor grades and cancer stages. The expression of all markers was negatively associated with overall and disease-free survival in HCC patients. Most of these hub genes can promote HCC proliferation and/or metastasis. These 12 hub genes were also overexpressed and had strong prognostic value in many other cancer types. Methylation and gene copy number analyses indicated that the upregulation of these hub genes was probably due to hypomethylation or increased gene copy numbers. Further, the methylation levels of three genes, KPNA2, MCM3, and LRRC1, were associated with HCC clinical features. Moreover, the levels of most hub genes were related to immune cell infiltration in HCC microenvironments. Finally, we identified three upregulated genes (KPNA2, TARBP1, and RNASEH2A) that could comprehensively and accurately provide diagnostic and prognostic value for HCC patients.

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