Human Gene Set: CAIRO_HEPATOBLASTOMA_CLASSES_UP


Standard name CAIRO_HEPATOBLASTOMA_CLASSES_UP
Systematic name M4772
Brief description Genes up-regulated in robust Cluster 2 (rC2) of hepatoblastoma samples compared to those in the robust Cluster 1 (rC1).
Full description or abstract Hepatoblastoma, the most common pediatric liver cancer, is tightly linked to excessive Wnt/beta-catenin signaling. Here, we used microarray analysis to identify two tumor subclasses resembling distinct phases of liver development and a discriminating 16-gene signature. beta-catenin activated different transcriptional programs in the two tumor types, with distinctive expression of hepatic stem/progenitor markers in immature tumors. This highly proliferating subclass was typified by gains of chromosomes 8q and 2p and upregulated Myc signaling. Myc-induced hepatoblastoma-like tumors in mice strikingly resembled the human immature subtype, and Myc downregulation in hepatoblastoma cells impaired tumorigenesis in vivo. Remarkably, the 16-gene signature discriminated invasive and metastatic hepatoblastomas and predicted prognosis with high accuracy.
Collection C2: Curated
      CGP: Chemical and Genetic Perturbations
Source publication Pubmed 19061838   Authors: Cairo S,Armengol C,De Reyniès A,Wei Y,Thomas E,Renard CA,Goga A,Balakrishnan A,Semeraro M,Gresh L,Pontoglio M,Strick-Marchand H,Levillayer F,Nouet Y,Rickman D,Gauthier F,Branchereau S,Brugières L,Laithier V,Bouvier R,Boman F,Basso G,Michiels JF,Hofman P,Arbez-Gindre F,Jouan H,Rousselet-Chapeau MC,Berrebi D,Marcellin L,Plenat F,Zachar D,Joubert M,Selves J,Pasquier D,Bioulac-Sage P,Grotzer M,Childs M,Fabre M,Buendia MA
Exact source Table 7S: Fold change rC2/rC1 >= 1.3
Related gene sets (show 6 additional gene sets from the source publication)

(show 164 gene sets from the same authors)
External links
Filtered by similarity ?
Source species Homo sapiens
Contributed by Arthur Liberzon (MSigDB Team)
Source platform or
identifier namespace		 AFFY_HG_U133
Dataset references (show 3 datasets)
Download gene set format: grp | gmt | xml | json | TSV metadata
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 612 genes
Gene families ? Categorize these 612 genes by gene family
Show members (show 733 source identifiers mapped to 612 genes)
Version history 3.0: First introduced

We need your help: Update on GSEA/MSigDB funding support

Last November we submitted a proposal to NCI's Information Technology for Cancer Research (ITCR) program for the continued funding of GSEA and MSigDB. Unfortunately, our proposal was not funded in this round, but we were encouraged to resubmit for the next one. This funding is critical for our continuing support and enhancement of the GSEA-MSigDB resource.

For our original submission many of you sent us emails of support, an important requirement for these grants. We now ask for your help again. We would greatly appreciate a short email message from you describing how the resource has been of value to your work and any concerns you may have about its continued availability.

Please send us your message of support to gsea-los@broadinstitute.org on or before Monday June 5, 2023.

Thanks in advance for your help and support.
The GSEA/MSigDB Team.


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