Systematic name M2544
Brief description Genes up-regulated in liver samples containing tumor thrombi in the major branches of the portal vein at surgery (PT) compared to those from metastasis-free HCC patients (PN) at the time of surgery and at follow-up.
Full description or abstract Metastasis-related recurrence often occurs in hepatocellular carcinoma (HCC) patients who receive curative therapies. At present, it is challenging to identify patients with high risk of recurrence, which would warrant additional therapies. In this study, we sought to analyze a recently developed metastasis-related gene signature for its utility in predicting HCC survival, using 2 independent cohorts consisting of a total of 386 patients who received radical resection. Cohort 1 contained 247 predominantly HBV-positive cases analyzed with an Affymetrix platform, whereas cohort 2 contained 139 cases with mixed etiology analyzed with the NCI Oligo Set microarray platform. We employed a survival risk prediction algorithm with training, test, and independent cross-validation strategies and found that the gene signature is predictive of overall and disease-free survival. Importantly, risk was significantly predicted independently of clinical characteristics and microarray platform. In addition, survival prediction was successful in patients with early disease, such as small (<5 cm in diameter) and solitary tumors, and the signature predicted particularly well for early recurrence risk (<2 years), especially when combined with serum alpha fetoprotein or tumor staging. In conclusion, we have shown in 2 independent cohorts with mixed etiologies and ethnicity that the metastasis gene signature is a useful tool to predict HCC outcome, suggesting the general utility of this classifier. We recommend the use of this classifier as a molecular diagnostic test to assess the risk that an HCC patient will develop tumor relapse within 2 years after surgical resection, particularly for those with early-stage tumors and solitary presentation.
Collection C2: curated gene sets
      CGP: chemical and genetic perturbations
Source publication Pubmed 21159642   Authors: Roessler S,Jia HL,Budhu A,Forgues M,Ye QH,Lee JS,Thorgeirsson SS,Sun Z,Tang ZY,Qin LX,Wang XW
Exact source Table 1S: Fold (PN/PT) < 1
Related gene sets (show 1 additional gene sets from the source publication)

(show 44 gene sets from the same authors)
External links  
Filtered by similarity
Organism Homo sapiens
Contributed by Yujin Hoshida (Broad Institute)
Source platform HUMAN_GENE_SYMBOL
Dataset references (show 1 datasets)
Download gene set format: grp | text | gmt | gmx | xml
Compute overlaps (show collections to investigate for overlap with this gene set)
Compendia expression profiles GTEx compendium
Human tissue compendium (Novartis)
Global Cancer Map (Broad Institute)
NCI-60 cell lines (National Cancer Institute)
Advanced query Further investigate these 106 genes
Gene families Categorize these 106 genes by gene family
Show members (show 107 members mapped to 106 genes)
Version history 3.1: First introduced

See MSigDB license terms here. Please note that certain gene sets have special access terms.