title: Identification biomarkers of eutopic endometrium in endometriosis using artificial neural networks and protein fingerprinting.
abstract: Surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF-MS) protein chip array technology was used to detect biomarkers of eutopic endometrium in endometriosis patients. Five potential biomarkers (6,898 m/z, 5,891 m/z, 5,385 m/z, 6,448 m/z, and 5,425 m/z) were found.
authors.affiliation: The 2nd Affiliated Hospital, Department of Gynecology, and Ministry of Education Key Laboratory of Cancer Prevention and Intervention, Zhejiang University School of Medicine, Hangzhou, People's Republic of China.
authors.forename: Liang
authors.initials: L
authors.lastname: Wang
authors.forename: Wei
authors.initials: W
authors.lastname: Zheng
authors.forename: Xiao-yan
authors.initials: XY
authors.lastname: Ding
authors.forename: Jie-kai
authors.initials: JK
authors.lastname: Yu
authors.forename: Wen-zhi
authors.initials: WZ
authors.lastname: Jiang
authors.forename: Su-zhan
authors.initials: SZ
authors.lastname: Zhang
mesh_terms: D000328:Adult; D015415:Biomarkers / Q000032:analysis* / Q000378:metabolism; D016022:Case-Control Studies; D042241:Early Diagnosis; D004715:Endometriosis / Q000175:diagnosis / Q000378:metabolism* / Q000473:pathology; D004717:Endometrium / Q000737:chemistry / Q000378:metabolism* / Q000473:pathology; D005260:Female; D006801:Humans; D008875:Middle Aged; D016571:Neural Networks, Computer; D010449:Peptide Mapping / Q000379:methods*; D040081:Protein Array Analysis; D019032:Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization; D014591:Uterine Diseases / Q000175:diagnosis / Q000378:metabolism* / Q000473:pathology; D055815:Young Adult
chemical_list: D015415:Biomarkers