Human Gene Set: FOURNIER_ACINAR_DEVELOPMENT_EARLY_UP


Standard name FOURNIER_ACINAR_DEVELOPMENT_EARLY_UP
Systematic name M18424
Brief description Genes up-regulated early in HMEC cells (mammary epithelium) during acinar development in vitro.
Full description or abstract Nonmalignant human mammary epithelial cells (HMEC) seeded in laminin-rich extracellular matrix (lrECM) form polarized acini and, in doing so, transit from a disorganized proliferating state to an organized growth-arrested state. We hypothesized that the gene expression pattern of organized and growth-arrested HMECs would share similarities with breast tumors with good prognoses. Using Affymetrix HG-U133A microarrays, we analyzed the expression of 22,283 gene transcripts in 184 (finite life span) and HMT3522 S1 (immortal nonmalignant) HMECs on successive days after seeding in a lrECM assay. Both HMECs underwent growth arrest in G0-G1 and differentiated into polarized acini between days 5 and 7. We identified gene expression changes with the same temporal pattern in both lines and examined the expression of these genes in a previously published panel of microarray data for 295 breast cancer samples. We show that genes that are significantly lower in the organized, growth-arrested HMEC than in their proliferating counterparts can be used to classify breast cancer patients into poor and good prognosis groups with high accuracy. This study represents a novel unsupervised approach to identifying breast cancer markers that may be of use clinically.
Collection C2: Curated
      CGP: Chemical and Genetic Perturbations
Source publication Pubmed 16849555   Authors: Fournier MV,Martin KJ,Kenny PA,Xhaja K,Bosch I,Yaswen P,Bissell MJ
Exact source Table 1S: ue
Related gene sets (show 4 additional gene sets from the source publication)

(show 18 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 1 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 ? NG-CHM interactive heatmaps
(Please note that clustering takes a few seconds)
GTEx compendium
Human tissue compendium (Novartis)
Global Cancer Map (Broad Institute)
NCI-60 cell lines (National Cancer Institute)

Legacy heatmaps (PNG)
GTEx compendium
Human tissue compendium (Novartis)
Global Cancer Map (Broad Institute)
NCI-60 cell lines (National Cancer Institute)
Advanced query Further investigate these 20 genes
Gene families ? Categorize these 20 genes by gene family
Show members (show 21 source identifiers mapped to 20 genes)
Version history 3.0: First introduced

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