Artificial neural networks combined with surface-enhanced laser desorption/ionization mass spectra distinguish endometriosis from healthy population.
Surface-enhanced laser desorption/ionization time-of-flight mass spectrometry protein chip array technology was used to detect the serum proteomic patterns in patients with endometriosis. Four potential biomarkers (8,141 m/z, 6,096 m/z, 5,894 m/z, and 3,269 m/z) were found. This method showed great potential in screening better biomarkers for endometriosis.
Wang
Liang
L
Department of Gynecology, Second Affiliated Hospital, Medical College, Zhejiang University, Hangzhou, China.
Zheng
Wei
W
Yu
Jie-kai
JK
Jiang
Wen-zhi
WZ
Mu
Lin
L
Zhang
Su-zhan
SZ
D000328:Adult; D015415:Biomarkers / Q000032:analysis; D018394:CA-125 Antigen / Q000032:analysis; D004715:Endometriosis / Q000097:blood / Q000175:diagnosis*; D005260:Female; D006262:Health; D006801:Humans; D008875:Middle Aged; D016571:Neural Networks, Computer; D040081:Protein Array Analysis; D012680:Sensitivity and Specificity; D019032:Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization / Q000379:methods*; D014591:Uterine Diseases / Q000097:blood / Q000175:diagnosis*
D015415:Biomarkers; D018394:CA-125 Antigen