Diagnosis of pancreatic adenocarcinoma using protein chip technology.
Pancreatology
; 9(1-2): 127-35, 2009.
Article
in En
| MEDLINE
| ID: mdl-19077463
ABSTRACT
BACKGROUND:
To develop a serum-specific protein fingerprint which is capable of differentiating samples from patients with pancreatic cancer and those with other pancreatic conditions.METHODS:
We used SELDI-TOF-MS coupled with CM10 chips and bioinformatics tools to analyze a total of 118 serum samples in this study; 78 serum samples were analyzed to establish the diagnostic models and the other 40 samples were analyzed on the second day as an independent test set.RESULTS:
The analysis of this independent test set yielded a specificity of 91.6% and a sensitivity of 91.6% for pattern 1, which distinguished pancreatic adenocarcinoma (PC) from healthy individuals and a specificity of 80.0% and a sensitivity of 90.9% for pattern 2, which distinguished PC from chronic pancreatitis.CONCLUSION:
This study indicated that the SELDI-TOF-MS technique can facilitate the discovery of better serum tumor biomarkers and a combination of specific models is more accurate than a single model in diagnosis of PC.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Pancreatic Neoplasms
/
Adenocarcinoma
/
Biomarkers, Tumor
Type of study:
Diagnostic_studies
/
Prognostic_studies
Limits:
Female
/
Humans
/
Male
Language:
En
Journal:
Pancreatology
Journal subject:
ENDOCRINOLOGIA
/
GASTROENTEROLOGIA
Year:
2009
Type:
Article