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Fatty acid metabolism-related lncRNA prognostic signature for serous ovarian carcinoma.

Lele YeZhuofeng JiangMengxia ZhengKan PanJingru LianBing JuXuefei LiuSangsang TangGangqiang GuoSongfa ZhangXin HongWei-Guo Lv
Published in: Epigenomics (2024)
Background: To explore the role of fatty acid metabolism (FAM)-related lncRNAs in the prognosis and antitumor immunity of serous ovarian cancer (SOC). Materials & methods: A SOC FAM-related lncRNA risk model was developed and evaluated by a series of analyses. Additional immune-related analyses were performed to further assess the associations between immune state, tumor microenvironment and the prognostic risk model. Results: Five lncRNAs associated with the FAM genes were found and used to create a predictive risk model. The patients with a low-risk profile exhibited favorable prognostic outcomes. Conclusion: The established prognostic risk model exhibits better predictive capabilities for the prognosis of patients with SOC and offers novel potential therapy targets for SOC.
Keyphrases
  • fatty acid
  • high grade
  • gene expression
  • adipose tissue
  • metabolic syndrome
  • dna methylation
  • risk assessment
  • genome wide identification
  • genome wide analysis
  • climate change
  • breast cancer risk