[Monitoring novel ovarian carcinoma associated genes using cDNA expression microarray].
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.
Chang
Xiao-hong
XH
Gynecologyic Oncology Center, People's Hospital, Peking University, Beijing 100044, China.
Cheng
Ye-xia
YX
Zhang
Xin-yan
XY
Cui
Heng
H
Feng
Jie
J
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