{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Liao PY"],"funding":["Ministry of Science and Technology, Taiwan","China Medical University, Taiwan","National Health and Research Institutes","National Science and Technology Council"],"pagination":["89"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12427100"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["32(1)"],"pubmed_abstract":["<h4>Background</h4>While the Warburg effect links glycolysis to de novo lipid synthesis in carcinogenesis, the roles of lipids in cancer prognosis remain elusive. Here, a multi-omics approach was conducted in a cohort of hepatocellular carcinoma (HCC) to elucidate the role of lipid metabolites as prognostic markers.<h4>Methods</h4>Ninety-eight HCC patients were recruited between 2011 and 2013. Their specimens were subjected to transcriptomic and lipidomic profiling. The resulting data were then analyzed using strategic bioinformatics approaches to identify associations with HCC prognosis. Subsequently, lipid-related pathways implicated in these analyses were verified using cellular and molecular approaches.<h4>Results</h4>Our findings indicate that lipidomic profiling is a potential progno"],"journal":["Journal of biomedical science"],"pubmed_title":["Ether-lipids accumulation promotes hepatocellular carcinoma progression linked to PPARα deficiency."],"pmcid":["PMC12427100"],"funding_grant_id":["109-2327-B-039-002","NHRI-EX109-10705BI","110-2314-B-039-046","CMU109-MF-26","111-2622-B-039-004","113-2311-B-039 -001 -MY3"],"pubmed_authors":["Yang CR","Lai HC","Yu YC","Jeng LB","Lin WJ","Ma WL","Yeh CC","Shen PC","Liao PY","Cheng WC"],"additional_accession":[]},"is_claimable":false,"name":"Ether-lipids accumulation promotes hepatocellular carcinoma progression linked to PPARα deficiency.","description":"<h4>Background</h4>While the Warburg effect links glycolysis to de novo lipid synthesis in carcinogenesis, the roles of lipids in cancer prognosis remain elusive. Here, a multi-omics approach was conducted in a cohort of hepatocellular carcinoma (HCC) to elucidate the role of lipid metabolites as prognostic markers.<h4>Methods</h4>Ninety-eight HCC patients were recruited between 2011 and 2013. Their specimens were subjected to transcriptomic and lipidomic profiling. The resulting data were then analyzed using strategic bioinformatics approaches to identify associations with HCC prognosis. Subsequently, lipid-related pathways implicated in these analyses were verified using cellular and molecular approaches.<h4>Results</h4>Our findings indicate that lipidomic profiling is a potential progno","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Sep","modification":"2026-06-01T15:56:43.333Z","creation":"2026-04-08T13:53:32.61Z"},"accession":"S-EPMC12427100","cross_references":{"pubmed":["40936093"],"doi":["10.1186/s12929-025-01178-y"]}}