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Identification and analysis of significant genes in nonalcoholic steatohepatitis-hepatocellular carcinoma transformation: Bioinformatics analysis and machine learning approach.

Qiyi YuYidong ZhangJiaping NiYumeng ShenWeiwei Hu
Published in: Molecular immunology (2024)
With bulk-seq analysis and single-cell analysis, 5 significant prognostic genes related to NASH-HCC transformation were identified and validated at both dataset and in vitro experiment level. Among them, TP53I3 and SOCS2 might be potential critical genes in NASH-HCC progression. Single-cell analysis identified and revealed the critical role that NASH-HCC related hepatocytes play in NASH-HCC tansformation. Our research may introduce a new perspective to the diagnosis, treatment of NASH-related HCC.
Keyphrases
  • bioinformatics analysis
  • single cell
  • machine learning
  • genome wide
  • rna seq
  • high throughput
  • gene expression
  • artificial intelligence
  • genome wide identification
  • combination therapy
  • data analysis