Application of serum protein fingerprint in diagnosis of pancreatic cancer / 浙江大学学报·医学版
Journal of Zhejiang University. Medical sciences
;
(6): 289-297, 2012.
Article
Dans Chinois
| WPRIM
| ID: wpr-336794
ABSTRACT
<p><b>OBJECTIVE</b>To establish serum protein fingerprint model for early diagnosis of pancreatic cancer with surface enhanced laser desorption/ionization time of flight-mass spectrometry (SELDI-TOF-MS) and bioinformatics techniques.</p><p><b>METHODS</b>A total of 73 samples were analyzed in this study, including 31 cases of pancreatic cancers, 22 cases of pancreatitis and 20 healthy individuals. Samples were first analyzed by SELDI-TOF-MS and two patterns of differentiation model were constructed with support vector machine arithmetic method.</p><p><b>RESULTS</b>The pattern 1 model differentiating pancreatic cancer patients from healthy individuals had a specificity and a sensitivity of both 100.0%. The pattern 2 model differentiating pancreatic cancer from pancreatitis had a specificity of 95.5% and a sensitivity of 93.5%.</p><p><b>CONCLUSION</b>SELDI-TOF-MS technique combined with bioinformatics can facilitate to identify biomarkers for pancreatic cancer.</p>
Texte intégral:
Disponible
Indice:
WPRIM (Pacifique occidental)
Sujet Principal:
Tumeurs du pancréas
/
Sang
/
Protéines du sang
/
Marqueurs biologiques tumoraux
/
Sensibilité et spécificité
/
Spectrométrie de masse MALDI
/
Analyse par réseau de protéines
/
Diagnostic
/
Machine à vecteur de support
/
Méthodes
Type d'étude:
Etude diagnostique
/
Étude de dépistage
Limites du sujet:
Adulte
/
Adulte très âgé
/
Aged80
/
Femelle
/
Humains
/
Mâle
langue:
Chinois
Texte intégral:
Journal of Zhejiang University. Medical sciences
Année:
2012
Type:
Article
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