Protein Signatures and Tissue Diagnosis of Pancreatic Cancer.
J Am Coll Surg
; 230(1): 26-36.e1, 2020 01.
Article
em En
| MEDLINE
| ID: mdl-31672677
ABSTRACT
BACKGROUND:
Endoscopic ultrasound-guided fine-needle aspiration fails to diagnose up to 25% of patients with pancreatic ductal adenocarcinoma (PDAC). Proteomics can help to overcome this clinical dilemma. We hypothesized that soluble protein signatures can differentiate PDAC from benign tissues. STUDYDESIGN:
Tissues were obtained from resected surgical specimens, lysed, and homogenates collected for analysis with a 41-protein multiplex assay. Analyte concentrations were normalized to total protein. Statistical analysis was performed to evaluate for differences in PDAC vs benign tissue.RESULTS:
Tissues were obtained from 159 patients, 82 patients with PDAC naïve to therapy and 77 with benign pancreatic pathology. Fourteen analytes had a receiver operating characteristic curve area of >0.75 for predicting PDAC vs benign tissue. A recursive partitioning model using only 2 analytes, interleukin 1 receptor antagonist and transforming growth factor-α, provided an accuracy, sensitivity, and specificity of 91.2%, 90.2%, and 92.2%, respectively. A penalized logistic regression model found 12 analytes that provide diagnostic value to a protein signature. The mean area under the receiver operating characteristic after 50 tenfold cross-validations was 0.951. Accuracy, sensitivity, and specificity of this model were 91.2%, 87.8%, and 94.8%, respectively. Applying the scenario of 80% disease prevalence in patients undergoing endoscopic ultrasound with fine-needle aspiration for a pancreatic head mass, positive predictive value is 98.5% (95% CI 93.0% to 99.7%) and negative predictive value is 66.0% (95% CI 54.9% to 75.6%).CONCLUSIONS:
Protein signatures from pancreatic specimens can differentiate PDAC from benign tissue. Additional work to validate these findings in a unique sample set is warranted.
Texto completo:
1
Coleções:
01-internacional
Temas:
Geral
/
Tipos_de_cancer
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Outros_tipos
Base de dados:
MEDLINE
Assunto principal:
Neoplasias Pancreáticas
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Carcinoma Ductal Pancreático
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Proteômica
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Proteínas de Neoplasias
Tipo de estudo:
Diagnostic_studies
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Observational_studies
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Prognostic_studies
/
Risk_factors_studies
Limite:
Aged
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Female
/
Humans
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Male
/
Middle aged
Idioma:
En
Revista:
J Am Coll Surg
Assunto da revista:
GINECOLOGIA
/
OBSTETRICIA
Ano de publicação:
2020
Tipo de documento:
Article