Establishment of a diagnostic model of serum protein fingerprint pattern for esophageal cancer screening in high incidence area and its clinical value / 中华肿瘤杂志
Chinese Journal of Oncology
;
(12): 441-443, 2007.
Article
in Chinese
| WPRIM
| ID: wpr-298580
ABSTRACT
<p><b>OBJECTIVE</b>To analyze the alterations of serum proteomic pattern in esophageal squamous cell carcinoma (ESCC) by SELDI-TOF-MS, to establish a diagnostic model of ESCC screening in high incidence area and investigate its clinical value.</p><p><b>METHODS</b>SELDI-TOF-MS and CM10 proteinChip were used to detect the serum proteomic patterns of 36 cases of ESCC and 38 healthy control subjects in high incidence area. The data were analyzed and a diagnostic model was established by using support vector machine (SVM). The diagnostic model was evaluated by leave-one-out cross validation.</p><p><b>RESULTS</b>At the molecular weight range of 2000 to 20,000, 31 protein peaks were significantly different between ESCC and controls (P < 0.01). A diagnostic model consisting of 4 protein peaks could do the best in diagnosis of ESCC and controls. The accuracy was 85.1%, sensitivity was 86.1%, specificity was 84.2%, and positive value was 83.8%.</p><p><b>CONCLUSION</b>The diagnostic model formed by 4 protein peaks, established in this study, can well distinguish ESCC from healthy subjects. It provides a new approach for ESCC screening in high incidence area.</p>
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Blood
/
Peptide Mapping
/
Esophageal Neoplasms
/
Blood Proteins
/
Carcinoma, Squamous Cell
/
Chemistry
/
China
/
Mass Screening
/
Epidemiology
/
Incidence
Type of study:
Diagnostic study
/
Incidence study
/
Prognostic study
/
Screening study
Limits:
Adult
/
Aged
/
Humans
Country/Region as subject:
Asia
Language:
Chinese
Journal:
Chinese Journal of Oncology
Year:
2007
Type:
Article
Similar
MEDLINE
...
LILACS
LIS