title: Transcript expression in endometrial cancers from Black and White patients.
abstract: OBJECTIVE
  Previous studies suggest that differences in molecular features of endometrial cancers between racial groups may contribute to the poorer survival in Blacks. The objective of this investigation was to determine whether gene expression among endometrial cancers is different between Blacks and Whites.
  
  
  METHODS
  Fresh frozen tumors from 25 Black patients were matched by stage, grade, and histology to endometrial cancer specimens from 25 White patients. Each case was macrodissected to produce specimens possessing a minimum of 75% cancer cellularity. A subset of 10 matched pairs was also prepared using laser microdissection (LMD) to produce specimens possessing a minimum of 95% cancer cells. Total RNA isolated from each sample was analyzed using the Affymetrix Human Genome U133 Plus 2.0 arrays. Data were analyzed using principal component analysis and binary class comparison analyses.
  
  
  RESULTS
  Unsupervised analysis of the 50 endometrial cancers failed to identify global gene expression profiles unique to Black or White patients. In a subset analysis of 10 matched pairs from Blacks and Whites prepared using LMD and macrodissection, unsupervised analysis did not reveal a unique gene expression profile associated with race in either set, but associations were identified that relate to sample preparation technique, histology and stage.
  
  
  CONCLUSIONS
  Our microarray data revealed no global gene expression differences and identified few individual gene differences between endometrial cancers from Blacks and Whites. More comprehensive methods of transcriptome analysis could uncover RNAs that may underpin the disparity of outcome or prevalence of endometrial cancers in Blacks and Whites.
authors.affiliation: Department of Obstetrics and Gynecology, Inova Fairfax Hospital, Falls Church VA 22042, USA. george.maxwell@inova.org
authors.forename: G Larry
authors.initials: GL
authors.lastname: Maxwell
authors.forename: Jay
authors.initials: J
authors.lastname: Allard
authors.forename: Chandramouli V R
authors.initials: CV
authors.lastname: Gadisetti
authors.forename: Tracy
authors.initials: T
authors.lastname: Litzi
authors.forename: Yovanni
authors.initials: Y
authors.lastname: Casablanca
authors.forename: Uma
authors.initials: U
authors.lastname: Chandran
authors.forename: Kathleen M
authors.initials: KM
authors.lastname: Darcy
authors.forename: Douglas A
authors.initials: DA
authors.lastname: Levine
authors.forename: Andrew
authors.initials: A
authors.lastname: Berchuck
authors.forename: Chad A
authors.initials: CA
authors.lastname: Hamilton
authors.forename: Thomas P
authors.initials: TP
authors.lastname: Conrads
authors.forename: John I
authors.initials: JI
authors.lastname: Risinger
mesh_terms: D044383:Black People / Q000235:genetics*; D016889:Endometrial Neoplasms / Q000208:ethnology* / Q000235:genetics* / Q000378:metabolism / Q000473:pathology; D005260:Female; D015870:Gene Expression; D020869:Gene Expression Profiling; D006801:Humans; D060787:Neoplasm Grading; D009367:Neoplasm Staging; D020411:Oligonucleotide Array Sequence Analysis; D025341:Principal Component Analysis; D012333:RNA, Messenger / Q000096:biosynthesis / Q000235:genetics; D012334:RNA, Neoplasm / Q000032:analysis / Q000235:genetics; D044465:White People / Q000235:genetics*
chemical_list: D012333:RNA, Messenger; D012334:RNA, Neoplasm