Omics · study · 2026
Gene expression of adjacent normal liver tissue in China Medical University Hospital (CMUH) cohort of Taiwanese patients
Listed in NCBI GEO
It’s unknown what, how, and why lipid metabolites involve in cancer prognosis.
Description
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.
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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.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE339nnn/GSE339353 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE339353 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1498489 ncbi.nlm.nih.gov/bioproject/PRJNA1498489 ↗
project · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Homo sapiens
- From keywords
- Life Sciences
- Inferred from text
- Cancer 75% · Disease 75% · RNA sequencing 75% · Sequencing 75%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE339353 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[disease].local:disease:cancer | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[disease].local:disease:disease | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[modality].local:modality:rna-seq | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:sequencing | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[organism].NCBITaxon:9606 | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /taxon |
| description | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /summary |
| publication_date | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| title | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /title |