GSE12945_eset.RdWiskott-Aldrich syndrome (WAS) predisposes patients to leukemia and lymphoma. WAS is caused by mutations in the protein WASP which impair its interaction with the WIPF1 protein. Here, we aim to identify a module of WIPF1-coexpressed genes and to assess its use as a prognostic signature for colorectal cancer, glioma, and breast cancer patients. Two public colorectal cancer microarray data sets were used for discovery and validation of the WIPF1 co-expression module. Based on expression of the WIPF1 signature, we classified more than 400 additional tumors with microarray data from our own experiments or from publicly available data sets according to their WIPF1 signature expression. This allowed us to separate patient populations for colorectal cancers, breast cancers, and gliomas for which clinical characteristics like survival times and times to relapse were analyzed. Groups of colorectal cancer, breast cancer, and glioma patients with low expression of the WIPF1 co-expression module generally had a favorable prognosis. In addition, the majority of WIPF1 signature genes are individually correlated with disease outcome in different studies. Literature gene network analysis revealed that among WIPF1 co-expressed genes known direct transcriptional targets of c-myc, ESR1 and p53 are enriched. The mean expression profile of WIPF1 signature genes is correlated with the profile of a proliferation signature. The WIPF1 signature is the first microarray-based prognostic expression signature primarily developed for colorectal cancer that is instrumental in other tumor types: low expression of the WIPF1 module is associated with better prognosis.
data( GSE12945_eset )
experimentData(eset):
Experiment data
Experimenter name: Staub E, Groene J, Heinze M, Mennerich D et al.??An expression module of WIPF1-coexpressed genes identifies patients with favorable prognosis in three tumor types.??J Mol Med (Berl)??2009 Jun
Laboratory: Staub, Rosenthal 2009
Contact information:
Title: An expression module of WIPF1-coexpressed genes identifies patients with favorable prognosis in three tumor types.
URL:
PMIDs: 19399471
Abstract: A 241 word abstract is available. Use 'abstract' method.
Information is available on: preprocessing
notes:
platform_title:
[HG-U133A] Affymetrix Human Genome U133A Array
platform_shorttitle:
Affymetrix HG-U133A
platform_summary:
hgu133a
platform_manufacturer:
Affymetrix
platform_distribution:
commercial
platform_accession:
GPL96
platform_technology:
in situ oligonucleotide
warnings:
No warnings yet
Preprocessing: frma
featureData(eset):
An object of class 'AnnotatedDataFrame'
featureNames: A1CF A2M ... ZZZ3 (12986 total)
varLabels: probeset gene
varMetadata: labelDescription
assayData: 12986 features, 62 samples
Platform type: hgu133a
Overall survival time-to-event summary (in years):
Call: survfit(formula = Surv(time, cens) ~ -1)
records n.max n.start events median 0.95LCL 0.95UCL
62 62 62 12 NA NA NA
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Available sample meta-data:
---------------------------
alt_sample_name:
Length Class Mode
62 character character
sample_type:
tumor
62
primarysite:
co re
29 33
summarygrade:
high low
31 31
G:
2 3
31 31
summarystage:
early late
36 26
T:
2 3 4
16 42 4
N:
0 1 2
36 14 12
M:
0 1 X
56 5 1
age_at_initial_pathologic_diagnosis:
Min. 1st Qu. Median Mean 3rd Qu. Max.
38.00 59.00 65.00 64.45 73.75 87.00
recurrence_status:
norecurrence recurrence NA's
47 8 7
days_to_death:
Min. 1st Qu. Median Mean 3rd Qu. Max.
210 1005 1395 1267 1620 1920
vital_status:
deceased living
12 50
location:
Length Class Mode
62 character character
summarylocation:
l r NA's
48 13 1
gender:
f m
28 34
lymphnodesremoved:
Min. 1st Qu. Median Mean 3rd Qu. Max.
11.00 13.25 16.50 19.00 22.75 42.00
lymphnodesinvaded:
Min. 1st Qu. Median Mean 3rd Qu. Max.
0.000 0.000 0.000 1.903 1.750 20.000
stageall:
1 2 3 4
13 23 21 5
dfs_status:
deceased_or_recurrence living_norecurrence NA's
15 46 1
days_to_recurrence_or_death:
Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
90 1110 1440 1333 1620 1920 10
batch:
Length Class Mode
62 character character
uncurated_author_metadata:
Length Class Mode
62 character character