title: [Monitoring novel ovarian carcinoma associated genes using cDNA expression microarray].
abstract: OBJECTIVE
  To explore the gene expression pattern of sample of human ovarian carcinoma.
  
  
  METHODS
  The difference in gene expression between normal and neoplastic human ovarian tissues were investigated, we described the assembly and utilization of a 512 member cDNA microarray.
  
  
  RESULTS
  Thirty-seven genes expressed in ovarian cancer were screened out, 14 genes were up-regulated, 23 genes were down-regulated.
  
  
  CONCLUSIONS
  cDNA microarray for analysis of gene expression pattern is an effective method to identify novel ovarian cancer associated genes.
authors.affiliation: Gynecologyic Oncology Center, People's Hospital, Peking University, Beijing 100044, China.
authors.forename: Xiao-hong
authors.initials: XH
authors.lastname: Chang
authors.forename: Ye-xia
authors.initials: YX
authors.lastname: Cheng
authors.forename: Xin-yan
authors.initials: XY
authors.lastname: Zhang
authors.forename: Heng
authors.initials: H
authors.lastname: Cui
authors.forename: Jie
authors.initials: J
authors.lastname: Feng
mesh_terms: D005260:Female; D020869:Gene Expression Profiling; D015972:Gene Expression Regulation, Neoplastic; D006801:Humans; D020411:Oligonucleotide Array Sequence Analysis; D010051:Ovarian Neoplasms / Q000235:genetics* / Q000378:metabolism / Q000473:pathology; D010053:Ovary / Q000378:metabolism / Q000473:pathology