title: Microarray analysis reveals distinct gene expression profiles among different tumor histology, stage and disease outcomes in endometrial adenocarcinoma.
abstract: BACKGROUND
  Endometrial cancer is the most common gynecologic malignancy in developed countries and little is known about the underlying mechanism of stage and disease outcomes. The goal of this study was to identify differentially expressed genes (DEG) between late vs. early stage endometrioid adenocarcinoma (EAC) and uterine serous carcinoma (USC), as well as between disease outcomes in each of the two histological subtypes.
  
  
  RESULTS
  Gene expression profiles of 20 cancer samples were analyzed (EAC = 10, USC = 10) using the human genome wide illumina bead microarrays. There was little overlap in the DEG sets between late vs. early stages in EAC and USC, and there was an insignificant overlap in DEG sets between good and poor prognosis in EAC and USC. Remarkably, there was no overlap between the stage-derived DEGs and the prognosis-derived DEGs for each of the two histological subtypes. Further functional annotation of differentially expressed genes showed that the composition of enriched function terms were different among different DEG sets. Gene expression differences for selected genes of various stages and outcomes were confirmed by qRT-PCR with a high validation rate.
  
  
  CONCLUSIONS
  This data, although preliminary, suggests that there might be involvement of distinct groups of genes in tumor progression (late vs. early stage) in each of the EAC and USC. It also suggests that these genes are different from those involved in tumor outcome (good vs. poor prognosis). These involved genes, once clinically verified, may be important for predicting tumor progression and tumor outcome.
authors.affiliation: Department of Pathology, Roswell Park Cancer Institute, Buffalo, New York, United States of America. pmhawech1@yahoo.com
authors.forename: Paulette
authors.initials: P
authors.lastname: Mhawech-Fauceglia
authors.forename: Dan
authors.initials: D
authors.lastname: Wang
authors.forename: Joshua
authors.initials: J
authors.lastname: Kesterson
authors.forename: Kimberly
authors.initials: K
authors.lastname: Clark
authors.forename: Laketa
authors.initials: L
authors.lastname: Monhollen
authors.forename: Kunle
authors.initials: K
authors.lastname: Odunsi
authors.forename: Shashikant
authors.initials: S
authors.lastname: Lele
authors.forename: Song
authors.initials: S
authors.lastname: Liu
mesh_terms: D018269:Carcinoma, Endometrioid / Q000235:genetics* / Q000473:pathology; D016000:Cluster Analysis; D018284:Cystadenocarcinoma, Serous / Q000235:genetics / Q000473:pathology; D016889:Endometrial Neoplasms / Q000235:genetics* / Q000473:pathology; D005260:Female; D020869:Gene Expression Profiling; D015972:Gene Expression Regulation, Neoplastic; D006801:Humans; D009367:Neoplasm Staging; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D011379:Prognosis; D020133:Reverse Transcriptase Polymerase Chain Reaction; D014594:Uterine Neoplasms / Q000235:genetics / Q000473:pathology