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Data · study · 2026

A Multi-Gene Signature Predicting 1-Year Survival in Stage I Liver Cancer: Integration of Preclinical and TCGA Data

Listed in NCBI GEO

This study used the Long Evans Cinnamon (LEC) rat model of Wilson's Disease and Hepatocellular Carcinoma (HCC), along with data from The Cancer Genome Atlas (TCGA) human database, to create a novel biomarker panel.

Description

We generated and analyzed a rat microarray gene expression profile by comparing liver tumor tissues with adjacent normal tissues from the same animals, covering approximately 30,000 genes. The microarray results were translated into a five-gene panel that predicts 1-year survival probability in Stage I liver cancer patients using TCGA data in combination with machine learning and bioinformatics approaches.

The 5-year panel of five genes demonstrated robust performance throughout validation, particularly in predicting 1-year survival in Stage I patients.

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Topics

From keywords
Life Sciences
Inferred from text
Cancer 75% · Disease 75% · Genetics 71%
Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
NCBI GEOGSE30988314 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[disease].local:disease:cancerenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (75%)
concepts[disease].local:disease:diseaseenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (75%)
concepts[field].anzsrc:group:3105enrichment · NCBI GEOtaxonomy-embedding@1.1.0title+keywords+description (71%)
concepts[field].local:field:life-sciencesmapping · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[method].geo_series_type:expression-profiling-by-arraysource · NCBI GEOconnector:ncbi_geo@1.0.0/gdstype
concepts[organism].NCBITaxon:10116source · NCBI GEOconnector:ncbi_geo@1.0.0/taxon
descriptionsource · NCBI GEOconnector:ncbi_geo@1.0.0/summary
publication_datesource · NCBI GEOconnector:ncbi_geo@1.0.0
titlesource · NCBI GEOconnector:ncbi_geo@1.0.0/title