Proteiomic patterns for endometrial cancer using SELDI-TOF-MS |
| |
| Authors: | Zhu Li-rong Zhang Wen-ying Yu Li Zheng Yan-hua Hu Jun Liao Qin-ping |
| |
| Institution: | (1) Department of Gynecology, Peking University First Hospital, Beijing, 100034, China;(2) Department of Gynecology, 306 Hospital of People’s Liberation Army, Beijing, 100101, China;(3) Department of Pathology, 306 Hospital of People’s Liberation Army, Beijing, 100101, China |
| |
| 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. |
| |
| Keywords: | Biomarkers Surface-enhanced laser desorption-ionization time-of-flight mass spectrometry (SELDI-TOF-MS) Endometrial cancer(BC) Proteomics |
| 本文献已被 维普 万方数据 PubMed SpringerLink 等数据库收录！ |
|
