Expression analysis of stage III serous ovarian adenocarcinoma distinguishes a sub-group of survivors.
GSE12418_eset.Rd
It is difficult to predict the clinical outcome for patients with ovarian cancer. However, the use of biomarkers as additional prognostic factors may improve the outcome for these patients. In order to find novel candidate biomarkers, differences in gene expressions were analysed in 54 stage III serous ovarian adenocarcinomas with oligonucleotide microarrays containing 27,000 unique probes. The microarray data was verified with quantitative real-time polymerase chain reaction for the genes TACC1, MUC5B and PRAME. Using hierarchical cluster analysis we detected a sub-group that included 60% of the survivors. The gene expressions in tumours from patients in this sub-group of survivors were compared with the remaining tumours, and 204 genes were found to be differently expressed. We conclude that the sub-group of survivors might represent patients with favourable tumour biology and sensitivity to treatment. A selection of the 204 genes might be used as a predictive model to distinguish patients within and outside of this group. Alternative chemotherapy strategies could then be offered as first-line treatment, which may lead to improvements in the clinical outcome for these patients.
Usage
data( GSE12418_eset )
Format
experimentData(eset):
Experiment data
Experimenter name: Partheen K, Levan K, Osterberg L, Horvath G.Expression analysis of stage III serous ovarian adenocarcinoma distinguishes a sub-group of survivors. Eur J Cancer. 2006 Nov; 42(16):2846-54.
Laboratory: Partheen, Horvath 2006
Contact information:
Title: Expression analysis of stage III serous ovarian adenocarcinoma distinguishes a sub-group of survivors.
URL:
PMIDs: 16996261
Abstract: A 177 word abstract is available. Use 'abstract' method.
Information is available on: preprocessing
notes:
platform_title:
SWEGENE H_v2.1.1_27k
platform_shorttitle:
SWEGENE H_v2.1.1_27k
platform_summary:
PartheenMetaData
platform_manufacturer:
other
platform_distribution:
non-commercial
platform_accession:
GPL5886
platform_technology:
spotted oligonucleotide
Preprocessing: default
featureData(eset):
An object of class 'AnnotatedDataFrame'
featureNames: A1CF A2M ... ZZZ3 (12681 total)
varLabels: probeset gene
varMetadata: labelDescription
Details
assayData: 12681 features, 54 samples
Platform type: PartheenMetaData
Binary overall survival summary (definitions of long and short provided by study authors):
long short
20 34
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Available sample meta-data:
---------------------------
alt_sample_name:
Length Class Mode
54 character character
sample_type:
tumor
54
histological_type:
ser
54
primarysite:
ov
54
summarystage:
late
54
tumorstage:
3
54
substage:
b c
19 35
age_at_initial_pathologic_diagnosis:
Min. 1st Qu. Median Mean 3rd Qu. Max.
35.00 51.25 59.50 59.56 69.75 84.00
pltx:
y
54
os_binary:
long short
20 34
debulking:
optimal suboptimal
13 41
uncurated_author_metadata:
Length Class Mode
54 character character