Transcriptomics

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Gene expression of adjacent normal liver tissue in China Medical University Hospital (CMUH) cohort of Taiwanese patients


ABSTRACT: It’s unknown what, how, and why lipid metabolites involve in cancer prognosis. This study investigated multi-omics measurement in hepatocellular carcinoma (HCC) patient cohort to associate tumoral lipidome, transcriptome, and serological metabolome to disease prognosis. Data indicating that dietary related ether-lipids, e.g., PC O- and PE O-, promote cell mobility and poor prognosis through TRPV2-related cytoskeletal rearrangement. In addition, downregulation of Peroxisome Proliferator-Activated Receptor α (PPARα) and consequential lipophagic deficit increase ether-lipids in cancer cells. Unfortunately, pathological coupling of Very Low-Density Lipoprotein Receptor (VLDLR) overexpression in HCC patients concordantly deteriorates ether-lipid accumulation and facilitates HCC progression via VLDL uptake. Knocking out hepatic VLDLR reduces HCC burden in a spontaneous mouse model. Administration of VLDL-mimicking nanoparticles encapsulating lenvatinib or fenofibrate effectively suppresses tumor progression. This series contains RNA sequencing data generated from adjacent normal liver tissues collected from the same HCC patient cohort.

ORGANISM(S): Homo sapiens

PROVIDER: GSE339353 | GEO | 2026/08/25

REPOSITORIES: GEO

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