Identification of key genes associated with the effect of estrogen on ovarian cancer using microarray analysis

Identification of key genes associated with the effect of estrogen on ovarian cancer using microarray analysis

Purpose To identify key genes related to the effect of estrogen on ovarian cancer. Methods Microarray data (GSE22600) were downloaded from Gene Expression Omnibus. Eight estrogen and seven placebo treatment samples were obtained using a 2 × 2 factorial designs, which contained 2 cell lines (PEO4 and...

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Veröffentlicht in:Archives of gynecology and obstetrics 2016-02, Vol.293 (2), p.421-427
Hauptverfasser: Zhang, Shi-tao, Zuo, Chao, Li, Wan-nan, Fu, Xue-qi, Xing, Shu, Zhang, Xiao-ping
Format: Artikel
Sprache:eng
Schlagworte:
Bayes Theorem
Computational Biology
Endocrinology
Estrogens - metabolism
Female
Gene expression
Gene Expression Profiling
Gene Expression Regulation, Neoplastic
Gene Regulatory Networks
Gynecologic Oncology
Gynecology
Human Genetics
Humans
Medicine
Medicine & Public Health
Microarray Analysis - methods
Obstetrics/Perinatology/Midwifery
Ovarian cancer
Ovarian Neoplasms - genetics
Ovarian Neoplasms - metabolism
Transcription Factors - genetics
Transforming Growth Factor beta
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Zusammenfassung:Purpose To identify key genes related to the effect of estrogen on ovarian cancer. Methods Microarray data (GSE22600) were downloaded from Gene Expression Omnibus. Eight estrogen and seven placebo treatment samples were obtained using a 2 × 2 factorial designs, which contained 2 cell lines (PEO4 and 2008) and 2 treatments (estrogen and placebo). Differentially expressed genes were identified by Bayesian methods, and the genes with P  
ISSN:0932-0067
1432-0711
DOI:10.1007/s00404-015-3833-8