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Links from GEO DataSets

Accession: PRJNA117807 ID: 117807

Homo sapiens (human)

Gene Expression Analysis of Stage I Endometrial Cancers

See Genome Information for Homo sapiens
Global gene expression patterns associated with early stage endometrial cancer have been reported, but changes in molecular expression associated with tumor grade, depth of myometrial invasion, and non-endometrioid histology have not been previously elucidated. Our group hypothesized there are unique genetic events underlying early endometrial carcinogenesis. Ninety-two samples of pathologically reviewed stage I endometrial cancers (80 endometrioid and 12 serous) with a heterogeneous distribution of grade and depth of myometrial invasion (i.e. 9 IAG1, 14 IAG2, 7 IAG3, 14 IBG1, 12 IBG2, 13 IBG3, 7 ICG1, 10 ICG2, and 6 ICG3) were examined in relation to 12 samples of atrophic endometrium from postmenopausal women. Specimens were analyzed using oligonucleotide microarray analysis and a subset of the differentially expressed transcripts was validated using quantitative PCR. Comparison of early stage cancers with normal endometrium samples by the univariate t-test with 10,000 permutations identified 900 genes that were differentially regulated by at least 4-fold at a p value of <0.001. Unsupervised analysis revealed that when compared to normal endometrium, serous and endometrioid stage I cancers appeared to have similar expression patterns. However, when compared in the absence of normal controls, they were distinct. Differential expression analysis revealed a number of transcripts that were common as well as unique to both histologic types. This data uncovers previously unrecognized, novel pathways involved in early stage endometrial cancers and identifys targets for prevention strategies that are inclusive of both endometrioid and serous histologic subtypes. Overall design: Ninety-one samples of pathologically reviewed stage I endometrial cancers (79 endometrioid and 12 serous) with a heterogeneous distribution of grade and depth of myometrial invasion (i.e. 9 IAG1, 14 IAG2, 7 IAG3, 14 IBG1, 12 IBG2, 13 IBG3, 7 ICG1, 10 ICG2, and 6 ICG3) were examined in relation to 12 samples of atrophic endometrium from postmenopausal women. Specimens were analyzed using oligonucleotide array analysis.
AccessionPRJNA117807; GEO: GSE17025
Data TypeTranscriptome or Gene expression
ScopeMultiisolate
OrganismHomo sapiens[Taxonomy ID: 9606]
Eukaryota; Metazoa; Chordata; Craniata; Vertebrata; Euteleostomi; Mammalia; Eutheria; Euarchontoglires; Primates; Haplorrhini; Catarrhini; Hominidae; Homo; Homo sapiens
Publications
  • Day RS et al., "A decision theory paradigm for evaluating identifier mapping and filtering methods using data integration.", BMC Bioinformatics, 2013 Jul 15;14:223
  • Day RS et al., "Identifier mapping performance for integrating transcriptomics and proteomics experimental results.", BMC Bioinformatics, 2011 May 27;12:213
SubmissionRegistration date: 13-Dec-2011
BioMedical Informatics, University of Pittsburgh
RelevanceMedical
Project Data:
Resource NameNumber
of Links
Publications
PubMed2
PMC2
Other datasets
GEO DataSets2
GEO Data Details
ParameterValue
Data volume, Spots5631525
Data volume, Processed Mbytes88
Data volume, Supplementary Mbytes454

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