Evidence map›Paper›PMID 40936093›Full record

ArticleJournal of biomedical science2025

Ether-lipids accumulation promotes hepatocellular carcinoma progression linked to PPARα deficiency.

Pei-Yin Liao, Wen-Jen Lin, Pei-Chun Shen, Cian-Ru Yang, Ying-Chun Yu, Chun-Chieh Yeh, Long-Bin Jeng, Hsieh-Chou Lai, Wei-Chung Cheng, Wen-Lung Ma

Erratum issuedAbstract read
In one paragraph

Article in Journal of biomedical science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Advances in Lipid Metabolism Reprogramming in Hepatocellular Carcinoma.Journal of clinical and translational hepatology · 2026
    Review
  2. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Pei-Yin Liao *Graduate Institute of Biomedical Sciences, School of Medicine, China Medical University, Taichung, 406040, Taiwan.
Wen-Jen Lin *Graduate Institute of Biomedical Sciences, School of Medicine, China Medical University, Taichung, 406040, Taiwan.
Pei-Chun ShenPh.D. Program for Health Science and Industry, Center of Tumor Biology, School of Medicine, China Medical University, Taichung, 406040, Taiwan.
Cian-Ru YangPh.D. Program for Health Science and Industry, Center of Tumor Biology, School of Medicine, China Medical University, Taichung, 406040, Taiwan.
Ying-Chun YuDepartment of Medical Research, Organ Transplantation Center, China Medical University Hospital, Taichung, 404327, Taiwan.
Chun-Chieh YehDepartment of Medical Research, Organ Transplantation Center, China Medical University Hospital, Taichung, 404327, Taiwan.
Long-Bin JengDepartment of Medical Research, Organ Transplantation Center, China Medical University Hospital, Taichung, 404327, Taiwan.
Hsieh-Chou LaiDepartment of Gastroenterology and Department of Surgery, China Medical University Hospital, Taichung, 404327, Taiwan.
Wei-Chung Cheng *Graduate Institute of Biomedical Sciences, School of Medicine, China Medical University, Taichung, 406040, Taiwan. wccheng@mail.cmu.edu.tw.
Wen-Lung Ma *Graduate Institute of Biomedical Sciences, School of Medicine, China Medical University, Taichung, 406040, Taiwan. maverick@mail.cmu.edu.tw.

Funding

China Medical University, Taiwan CMU109-MF-26Ministry of Science and Technology, Taiwan 109-2327-B-039-002Ministry of Science and Technology, Taiwan 110-2314-B-039-046Ministry of Science and Technology, Taiwan 113-2311-B-039 -001 -MY3National Health and Research Institutes NHRI-EX109-10705BINational Science and Technology Council 111-2622-B-039-004
6 · The paper itself

Abstract

backgroundWhile 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.

methodsNinety-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.

resultsOur findings indicate that lipidomic profiling is a potential prognostic marker for HCC. Specifically, higher levels of ether-lipids were significantly associated with poor survival and adverse clinical features, such as advanced TNM stage and metastasis. Analysis of transcriptomic patterns within patient groups defined by lipidomic profiles revealed that ether-lipid abundance inversely correlated with PPAR signaling but positively correlated with the expression of metastasis-associated gene clusters (e.g., genes involved in ECM remodeling, adhesion, and migration). Functional studies verified that ether-lipids enhance cell mobility. Consistent with the proposed mechanism, treatment with a PPARα agonist reduced ether-lipid accumulation and cell mobility. Therefore, we delineated an axis whereby PPARα downregulation leads to ether-lipid accumulation, subsequently promoting cell mobility. Mechanistically, we propose that deficient PPARα-mediated lipophagy results in cellular ether-lipid accumulation. These lipids, in turn, promote cell mobility via Transient Receptor Potential Vanilloid 2 (TRPV2)-mediated cytoskeletal rearrangement.

conclusionThis study identifies lipidome patterns as a risk factor for patient prognosis. Mechanistically, deficient PPARα-mediated lipophagy leads to the accumulation of ether-lipids within cancer cells, which in turn promotes cell mobility via calcium-dependent, TRPV2 channel-mediated cytoskeletal rearrangement.

Indexed as

Carcinoma, HepatocellularLipid MetabolismLiver NeoplasmsPPAR alphaDisease ProgressionFemaleHumansMaleMiddle AgedPrognosisPPAR alphaPPARA protein, humanEther-lipidHCCLipidomicsMulti-omicsPPARαPrognosis marker

Identifiers

PMID40936093
PMCPMC12427100

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.