Integrated genomic analyses of ovarian carcinoma.
TCGA.RNASeqV2_eset.Rd
A catalogue of molecular aberrations that cause ovarian cancer is critical for developing and deploying therapies that will improve patients' lives. The Cancer Genome Atlas project has analysed messenger RNA expression, microRNA expression, promoter methylation and DNA copy number in 489 high-grade serous ovarian adenocarcinomas and the DNA sequences of exons from coding genes in 316 of these tumours. Here we report that high-grade serous ovarian cancer is characterized by TP53 mutations in almost all tumours (96%); low prevalence but statistically recurrent somatic mutations in nine further genes including NF1, BRCA1, BRCA2, RB1 and CDK12; 113 significant focal DNA copy number aberrations; and promoter methylation events involving 168 genes. Analyses delineated four ovarian cancer transcriptional subtypes, three microRNA subtypes, four promoter methylation subtypes and a transcriptional signature associated with survival duration, and shed new light on the impact that tumours with BRCA1/2 (BRCA1 or BRCA2) and CCNE1 aberrations have on survival. Pathway analyses suggested that homologous recombination is defective in about half of the tumours analysed, and that NOTCH and FOXM1 signalling are involved in serous ovarian cancer pathophysiology.
Usage
data( TCGA.RNASeqV2_eset )
Format
experimentData(eset):
Experiment data
Experimenter name: Integrated genomic analyses of ovarian carcinoma. Nature 2011, 474:609-615.
Laboratory: Cancer Genome Atlas Research Network 2011
Contact information:
Title: Integrated genomic analyses of ovarian carcinoma.
URL:
PMIDs: 21720365
Abstract: A 179 word abstract is available. Use 'abstract' method.
Information is available on: preprocessing
notes:
platform_title:
[RNASeqV2] Illumina HiSeq RNA sequencing
platform_shorttitle:
Illumina HiSeq RNA sequencing
platform_summary:
NA
platform_manufacturer:
Illumina
platform_distribution:
sequencing
platform_accession:
NA
platform_technology:
RNA sequencing
Preprocessing: default
featureData(eset):
An object of class 'AnnotatedDataFrame'
featureNames: ? A1BG ... ZZZ3 (20502 total)
varLabels: probeset gene
varMetadata: labelDescription
Details
assayData: 20502 features, 261 samples
Platform type: NA
Overall survival time-to-event summary (in years):
Call: survfit(formula = Surv(time, cens) ~ -1)
5 observations deleted due to missingness
records n.max n.start events median 0.95LCL 0.95UCL
256.00 256.00 256.00 143.00 3.62 3.19 4.03
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Available sample meta-data:
---------------------------
alt_sample_name:
Length Class Mode
261 character character
unique_patient_ID:
Length Class Mode
261 character character
sample_type:
tumor
261
histological_type:
ser
261
primarysite:
other ov
1 260
summarygrade:
high low NA's
226 29 6
summarystage:
early late NA's
18 242 1
tumorstage:
2 3 4 NA's
18 209 33 1
substage:
b c NA's
16 211 34
grade:
1 2 3 4 NA's
1 28 225 1 6
age_at_initial_pathologic_diagnosis:
Min. 1st Qu. Median Mean 3rd Qu. Max.
34.00 51.00 58.00 58.84 66.00 87.00
pltx:
n y NA's
17 215 29
tax:
n y NA's
17 215 29
neo:
n NA's
232 29
days_to_tumor_recurrence:
Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
9.0 225.0 426.5 585.3 755.0 5480.0 19
recurrence_status:
norecurrence recurrence
123 138
days_to_death:
Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
9.0 341.8 878.0 1018.0 1446.0 5480.0 5
vital_status:
deceased living NA's
143 114 4
site_of_tumor_first_recurrence:
locoregional metastasis NA's
82 56 123
primary_therapy_outcome_success:
completeresponse partialresponse progressivedisease stabledisease
147 30 15 15
NA's
54
debulking:
optimal suboptimal NA's
171 60 30
percent_normal_cells:
Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
0.000 0.000 0.000 2.066 0.000 55.000 5
percent_stromal_cells:
Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
0.00 5.00 10.00 11.43 15.00 70.00 4
percent_tumor_cells:
Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
0.00 77.00 85.00 82.07 90.00 100.00 4
uncurated_author_metadata:
Length Class Mode
261 character character