ArticleFrontiers in oncology2022
Stemness Analysis Uncovers That The Peroxisome Proliferator-Activated Receptor Signaling Pathway Can Mediate Fatty Acid Homeostasis In Sorafenib-Resistant Hepatocellular Carcinoma Cells.
Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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8 citing papers in PubMed, 12 citations in OpenAlex.
- Romboutsia ilealis related metabolite OAA controls obesity and lipid metabolism through PSMD3-mediated degradation of YTHDF2.Cell death and differentiation · 2026Article
- The pivotal role of SCD1 in digestive cancers: Bridging lipid metabolic reprogramming and programmed cell death (Review).International journal of oncology · 2026Review
- Article
- Investigating the Role of Peroxisomes in Regulating Breast Cancer Stem Cell Mechanisms.International journal of molecular sciences · 2025Article
- Application of artificial intelligence-based stemness index in cancer.Frontiers in oncology · 2025Review
- Research advances in traditional Chinese medicine formulae and active components targeting lipid metabolism for hepatocellular carcinoma therapy.Frontiers in pharmacology · 2025Review
- Identification and validation of a fatty acid metabolism gene signature for the promotion of metastasis in liver cancer.Oncology letters · 2023Article
- Lipid metabolism of hepatocellular carcinoma impacts targeted therapy and immunotherapy.World journal of gastrointestinal oncology · 2023Review
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Authors and funding
16 authors at 2 institutions in 1 country.
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Abstract
Hepatocellular carcinoma (HCC) stem cells are regarded as an important part of individualized HCC treatment and sorafenib resistance. However, there is lacking systematic assessment of stem-like indices and associations with a response of sorafenib in HCC. Our study thus aimed to evaluate the status of tumor dedifferentiation for HCC and further identify the regulatory mechanisms under the condition of resistance to sorafenib. Datasets of HCC, including messenger RNAs (mRNAs) expression, somatic mutation, and clinical information were collected. The mRNA expression-based stemness index (mRNAsi), which can represent degrees of dedifferentiation of HCC samples, was calculated to predict drug response of sorafenib therapy and prognosis. Next, unsupervised cluster analysis was conducted to distinguish mRNAsi-based subgroups, and gene/geneset functional enrichment analysis was employed to identify key sorafenib resistance-related pathways. In addition, we analyzed and confirmed the regulation of key genes discovered in this study by combining other omics data. Finally, Luciferase reporter assays were performed to validate their regulation. Our study demonstrated that the stemness index obtained from transcriptomic is a promising biomarker to predict the response of sorafenib therapy and the prognosis in HCC. We revealed the peroxisome proliferator-activated receptor signaling pathway (the PPAR signaling pathway), related to fatty acid biosynthesis, that was a potential sorafenib resistance pathway that had not been reported before. By analyzing the core regulatory genes of the PPAR signaling pathway, we identified four candidate target genes,
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