Proteiomic patterns for endometrial cancer using SELDI-TOF-MS / 浙江大学学报(英文版)(B辑:生物医学和生物技术)
Journal of Zhejiang University. Science. B
; (12): 286-290, 2008.
Article
in En
| WPRIM
| ID: wpr-277272
Responsible library:
WPRO
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.
Full text:
1
Database:
WPRIM
Main subject:
Biomarkers, Tumor
/
Case-Control Studies
/
Gene Expression Regulation, Neoplastic
/
Sensitivity and Specificity
/
Endometrial Neoplasms
/
Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
/
Protein Array Analysis
/
Proteomics
/
Diagnosis
/
Medical Oncology
Type of study:
Diagnostic_studies
/
Observational_studies
Limits:
Female
/
Humans
Language:
En
Journal:
Journal of Zhejiang University. Science. B
Year:
2008
Document type:
Article