Proteiomic patterns for endometrial cancer using SELDI-TOF-MS.
Serum samples from endometrial cancer (EC) patients and healthy females were analyzed using surface-enhanced laser desorption-ionization time-of-flight mass spectrometry (SELDI-TOF-MS) to discover the potential diagnostic biomarker for detection of EC. A preliminary training set of spectra derived from 40 EC patients and 30 healthy women were used to develop a proteomic model that effectively discriminated cancer patients from healthy women. The training set had a specificity of 100% and sensitivity of 92.5% in the EC detection. A blind test set, including 20 new cancer cases and 10 healthy women, was used to validate the sensitivity and specificity of this multivariate model, which had a corresponding results of 60% in specificity and 75% in sensitivity, respectively. The combination of SELDI-TOF-MS with bioinformatics tools could help find new biomarkers and establish the detection of EC with high sensitivity and specificity.
Zhu
Li-rong
LR
Department of Gynecology, Peking University First Hospital, Beijing 100034, China.
Zhang
Wen-ying
WY
Yu
Li
L
Zheng
Yan-hua
YH
Hu
Jun
J
Liao
Qin-ping
QP
D014408:Biomarkers, Tumor / Q000378:metabolism; D016022:Case-Control Studies; D016889:Endometrial Neoplasms / Q000175:diagnosis* / Q000378:metabolism; D005260:Female; D015972:Gene Expression Regulation, Neoplastic; D006801:Humans; D008495:Medical Oncology / Q000379:methods; D008954:Models, Biological; D009363:Neoplasm Proteins; D009367:Neoplasm Staging; D040081:Protein Array Analysis; D040901:Proteomics / Q000379:methods*; D012680:Sensitivity and Specificity; D019032:Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization / Q000379:methods*
D014408:Biomarkers, Tumor; D009363:Neoplasm Proteins