<HashMap><database>GEO</database><file_versions><headers><Content-Type>application/xml</Content-Type></headers><body><files><Other>ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE339nnn/GSE339353/</Other></files><type>primary</type></body><statusCode>OK</statusCode><statusCodeValue>200</statusCodeValue></file_versions><scores/><additional><omics_type>Transcriptomics</omics_type><species>Homo sapiens</species><gds_type>Expression profiling by high throughput sequencing</gds_type><full_dataset_link>https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE339353</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>Gene expression of adjacent normal liver tissue in China Medical University Hospital (CMUH) cohort of Taiwanese patients</name><description>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.</description><dates><publication>2026/08/25</publication></dates><accession>GSE339353</accession><cross_references><GSM>GSM9894032</GSM><GSM>GSM9894073</GSM><GSM>GSM9894072</GSM><GSM>GSM9893987</GSM><GSM>GSM9893988</GSM><GSM>GSM9893985</GSM><GSM>GSM9893986</GSM><GSM>GSM9893983</GSM><GSM>GSM9893984</GSM><GSM>GSM9894071</GSM><GSM>GSM9894070</GSM><GSM>GSM9893990</GSM><GSM>GSM9894002</GSM><GSM>GSM9894046</GSM><GSM>GSM9893991</GSM><GSM>GSM9894045</GSM><GSM>GSM9894001</GSM><GSM>GSM9894044</GSM><GSM>GSM9894000</GSM><GSM>GSM9894043</GSM><GSM>GSM9894042</GSM><GSM>GSM9893998</GSM><GSM>GSM9893999</GSM><GSM>GSM9894009</GSM><GSM>GSM9893996</GSM><GSM>GSM9894008</GSM><GSM>GSM9894007</GSM><GSM>GSM9893997</GSM><GSM>GSM9894006</GSM><GSM>GSM9893994</GSM><GSM>GSM9894005</GSM><GSM>GSM9893995</GSM><GSM>GSM9894049</GSM><GSM>GSM9894004</GSM><GSM>GSM9894048</GSM><GSM>GSM9893992</GSM><GSM>GSM9893993</GSM><GSM>GSM9894047</GSM><GSM>GSM9894003</GSM><GSM>GSM9893989</GSM><GSM>GSM9894013</GSM><GSM>GSM9894057</GSM><GSM>GSM9894056</GSM><GSM>GSM9894012</GSM><GSM>GSM9894011</GSM><GSM>GSM9894055</GSM><GSM>GSM9894010</GSM><GSM>GSM9894054</GSM><GSM>GSM9894053</GSM><GSM>GSM9894052</GSM><GSM>GSM9894051</GSM><GSM>GSM9894050</GSM><GSM>GSM9894019</GSM><GSM>GSM9894018</GSM><GSM>GSM9894017</GSM><GSM>GSM9894016</GSM><GSM>GSM9894059</GSM><GSM>GSM9894015</GSM><GSM>GSM9894014</GSM><GSM>GSM9894058</GSM><GSM>GSM9894024</GSM><GSM>GSM9894068</GSM><GSM>GSM9894067</GSM><GSM>GSM9894066</GSM><GSM>GSM9894065</GSM><GSM>GSM9894064</GSM><GSM>GSM9894063</GSM><GSM>GSM9894062</GSM><GSM>GSM9894061</GSM><GSM>GSM9894028</GSM><GSM>GSM9894027</GSM><GSM>GSM9894026</GSM><GSM>GSM9894025</GSM><GSM>GSM9894069</GSM><GSM>GSM9894060</GSM><GPL>24676</GPL><GSE>339353</GSE><taxon>Homo sapiens</taxon></cross_references></HashMap>