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The liver is an important organ in vertebrates that plays an essential role in metabolism. It is also responsible for storing and redistributing nutrients such as carbohydrates, fats, and vitamins in the body. Additionally, the liver releases bile salts which are critical for digesting food and eliminating toxic metabolites from the body.
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  1. Home
  2. Research Domains
  3. Biomedical And Clinical Sciences
  4. Oncology And Carcinogenesis
  5. Predictive And Prognostic Markers
  6. Identification Of Fatty Acids Synthesis And Metabolism-related Gene Signature And Prediction Of Prognostic Model In Hepatocellular Carcinoma

Identification of fatty acids synthesis and metabolism-related gene signature and prediction of prognostic model in hepatocellular carcinoma

Ai Zhengdong1, Xing Xiaoying1, Fu Shuhui1

  • 1Key Laboratory of Biorheological Science and Technology (Chongqing University), Ministry of Education, College of Bioengineering, Chongqing University, 174 Shazheng Street, Chongqing, 400000, People's Republic of China.

Cancer Cell International
|April 7, 2024

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View abstract on PubMed

Summary
This summary is machine-generated.

Fatty acids synthesis and metabolism (FASM) gene signatures reveal two hepatocellular carcinoma (HCC) subtypes. One subtype shows worse prognosis and treatment resistance, driven by Acetyl-CoA carboxylase 1 (ACACA).

Area of Science:

  • Oncology
  • Molecular Biology
  • Metabolic Pathways

Background:

  • Fatty acids synthesis and metabolism (FASM) is crucial for energy during nutrient scarcity.
  • The role of FASM-associated gene signatures in hepatocellular carcinoma (HCC) prognosis and function is not well understood.

Purpose of the Study:

  • To investigate the molecular characteristics, physiological functions, and prognostic value of FASM-associated gene signatures in HCC.
  • To identify potential therapeutic targets within FASM pathways for HCC treatment.

Main Methods:

  • Utilized large-scale transcriptome data (GEO, TCGA, ICGC) for HCC patient analysis.
  • Employed unsupervised clustering to define molecular subtypes and analyzed immune infiltration, stemness, and treatment response.
  • Constructed a prognostic model using LASSO regression and PPI networks, identifying Acetyl-CoA carboxylase 1 (ACACA) as a key hub gene.
Keywords:
Acetyl-CoA carboxylase1Cancer stemnessFatty acidsHepatocellular carcinoma

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Main Results:

  • Identified two distinct HCC molecular subtypes based on 26 differentially expressed FASM genes.
  • Cluster 1 subtype demonstrated poorer prognosis, higher immune suppression, stemness, and treatment resistance compared to Cluster 2.
  • Acetyl-CoA carboxylase 1 (ACACA) was identified as a central FASM gene associated with poor prognosis and was found to promote HCC stemness and drug resistance via interactions with macrophages.

Conclusions:

  • FASM heterogeneity significantly impacts HCC prognosis and treatment response.
  • The identified FASM patterns and the hub gene ACACA offer potential biomarkers for predicting patient outcomes and guiding therapeutic strategies in HCC.
Immune microenvironment