title: Proteiomic patterns for endometrial cancer using SELDI-TOF-MS.
abstract: 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.
authors.affiliation: Department of Gynecology, Peking University First Hospital, Beijing 100034, China.
authors.forename: Li-rong
authors.initials: LR
authors.lastname: Zhu
authors.forename: Wen-ying
authors.initials: WY
authors.lastname: Zhang
authors.forename: Li
authors.initials: L
authors.lastname: Yu
authors.forename: Yan-hua
authors.initials: YH
authors.lastname: Zheng
authors.forename: Jun
authors.initials: J
authors.lastname: Hu
authors.forename: Qin-ping
authors.initials: QP
authors.lastname: Liao
mesh_terms: 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*
chemical_list: D014408:Biomarkers, Tumor; D009363:Neoplasm Proteins