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Sequential Validation of Blood-Based Protein Biomarker Candidates for Early-Stage Pancreatic Cancer.
Capello, Michela; Bantis, Leonidas E; Scelo, Ghislaine; Zhao, Yang; Li, Peng; Dhillon, Dilsher S; Patel, Nikul J; Kundnani, Deepali L; Wang, Hong; Abbruzzese, James L; Maitra, Anirban; Tempero, Margaret A; Brand, Randall; Firpo, Matthew A; Mulvihill, Sean J; Katz, Matthew H; Brennan, Paul; Feng, Ziding; Taguchi, Ayumu; Hanash, Samir M.
Afiliação
  • Capello M; Departments of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Bantis LE; Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Scelo G; International Agency for Research on Cancer (IARC) Lyon, France.
  • Zhao Y; Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Li P; International Agency for Research on Cancer (IARC) Lyon, France.
  • Dhillon DS; Departments of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Patel NJ; Departments of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Kundnani DL; Departments of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Wang H; Departments of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Abbruzzese JL; Division of Medical Oncology, Duke University, Durham, NC, USA.
  • Maitra A; Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Tempero MA; Pancreas Center, University of California San Francisco, Helen Diller Family Comprehensive Cancer Center, San Francisco, CA, USA
  • Brand R; Division of Gastroenterology, Hepatology and Nutrition, University of Pittsburgh, Pittsburgh, PA, USA.
  • Firpo MA; Department of Surgery, University of Utah School of Medicine, Salt Lake City, UT, USA.
  • Mulvihill SJ; Department of Surgery, University of Utah School of Medicine, Salt Lake City, UT, USA.
  • Katz MH; Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Brennan P; International Agency for Research on Cancer (IARC) Lyon, France.
  • Feng Z; Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Taguchi A; Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Hanash SM; Departments of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
J Natl Cancer Inst ; 109(4)2017 04 01.
Article em En | MEDLINE | ID: mdl-28376157
ABSTRACT

Background:

CA19-9, which is currently in clinical use as a pancreatic ductal adenocarcinoma (PDAC) biomarker, has limited performance in detecting early-stage disease. We and others have identified protein biomarker candidates that have the potential to complement CA19-9. We have carried out sequential validations starting with 17 protein biomarker candidates to determine which markers and marker combination would improve detection of early-stage disease compared with CA19-9 alone.

Methods:

Candidate biomarkers were subjected to enzyme-linked immunosorbent assay based sequential validation using independent multiple sample cohorts consisting of PDAC cases (n = 187), benign pancreatic disease (n = 93), and healthy controls (n = 169). A biomarker panel for early-stage PDAC was developed based on a logistic regression model. All statistical tests for the results presented below were one-sided.

Results:

Six out of the 17 biomarker candidates and CA19-9 were validated in a sample set consisting of 75 PDAC patients, 27 healthy subjects, and 19 chronic pancreatitis patients. A second independent set of 73 early-stage PDAC patients, 60 healthy subjects, and 74 benign pancreatic disease patients (combined validation set) yielded a model that consisted of TIMP1, LRG1, and CA19-9. Additional blinded testing of the model was done using an independent set of plasma samples from 39 resectable PDAC patients and 82 matched healthy subjects (test set). The model yielded areas under the curve (AUCs) of 0.949 (95% confidence interval [CI] = 0.917 to 0.981) and 0.887 (95% CI = 0.817 to 0.957) with sensitivities of 0.849 and 0.667 at 95% specificity in discriminating early-stage PDAC vs healthy subjects in the combined validation and test sets, respectively. The performance of the biomarker panel was statistically significantly improved compared with CA19-9 alone (P < .001, combined validation set; P = .008, test set).

Conclusion:

The addition of TIMP1 and LRG1 immunoassays to CA19-9 statistically significantly improves the detection of early-stage PDAC.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Pancreáticas / Glicoproteínas / Biomarcadores Tumorais / Antígeno CA-19-9 / Inibidor Tecidual de Metaloproteinase-1 / Carcinoma Ductal Pancreático Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Humans / Male / Middle aged Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Pancreáticas / Glicoproteínas / Biomarcadores Tumorais / Antígeno CA-19-9 / Inibidor Tecidual de Metaloproteinase-1 / Carcinoma Ductal Pancreático Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Humans / Male / Middle aged Idioma: En Ano de publicação: 2017 Tipo de documento: Article