Literature DB >> 21325298

Serum biomarker panels for the detection of pancreatic cancer.

Randall E Brand1, Brian M Nolen, Herbert J Zeh, Peter J Allen, Mohamad A Eloubeidi, Michael Goldberg, Eric Elton, Juan P Arnoletti, John D Christein, Selwyn M Vickers, Christopher J Langmead, Douglas P Landsittel, David C Whitcomb, William E Grizzle, Anna E Lokshin.   

Abstract

PURPOSE: Serum-biomarker based screening for pancreatic cancer could greatly improve survival in appropriately targeted high-risk populations. EXPERIMENTAL
DESIGN: Eighty-three circulating proteins were analyzed in sera of patients diagnosed with pancreatic ductal adenocarcinoma (PDAC, n = 333), benign pancreatic conditions (n = 144), and healthy control individuals (n = 227). Samples from each group were split randomly into training and blinded validation sets prior to analysis. A Metropolis algorithm with Monte Carlo simulation (MMC) was used to identify discriminatory biomarker panels in the training set. Identified panels were evaluated in the validation set and in patients diagnosed with colon (n = 33), lung (n = 62), and breast (n = 108) cancers.
RESULTS: Several robust profiles of protein alterations were present in sera of PDAC patients compared to the Healthy and Benign groups. In the training set (n = 160 PDAC, 74 Benign, 107 Healthy), the panel of CA 19-9, ICAM-1, and OPG discriminated PDAC patients from Healthy controls with a sensitivity/specificity (SN/SP) of 88/90%, while the panel of CA 19-9, CEA, and TIMP-1 discriminated PDAC patients from Benign subjects with an SN/SP of 76/90%. In an independent validation set (n = 173 PDAC, 70 Benign, 120 Healthy), the panel of CA 19-9, ICAM-1 and OPG demonstrated an SN/SP of 78/94% while the panel of CA19-9, CEA, and TIMP-1 demonstrated an SN/SP of 71/89%. The CA19-9, ICAM-1, OPG panel is selective for PDAC and does not recognize breast (SP = 100%), lung (SP = 97%), or colon (SP = 97%) cancer.
CONCLUSIONS: The PDAC-specific biomarker panels identified in this investigation warrant additional clinical validation to determine their role in screening targeted high-risk populations. ©2010 AACR.

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Year:  2011        PMID: 21325298      PMCID: PMC3075824          DOI: 10.1158/1078-0432.CCR-10-0248

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  48 in total

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3.  Serum markers in patients with resectable pancreatic adenocarcinoma: macrophage inhibitory cytokine 1 versus CA19-9.

Authors:  Jens Koopmann; C Nicole White Rosenzweig; Zhen Zhang; Marcia I Canto; David A Brown; Mark Hunter; Charles Yeo; Daniel W Chan; Samuel N Breit; Michael Goggins
Journal:  Clin Cancer Res       Date:  2006-01-15       Impact factor: 12.531

4.  The expression of adhesion molecules and the influence of inflammatory cytokines on the adhesion of human pancreatic carcinoma cells to mesothelial monolayers.

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Authors:  K S Goonetilleke; A K Siriwardena
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Review 9.  Proteomics of pancreatic cancer.

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Authors:  N Moniaux; S Chakraborty; M Yalniz; J Gonzalez; V K Shostrom; J Standop; S M Lele; M Ouellette; P M Pour; A R Sasson; R E Brand; M A Hollingsworth; M Jain; S K Batra
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  105 in total

1.  Multiplex targeted proteomic assay for biomarker detection in plasma: a pancreatic cancer biomarker case study.

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7.  Circulating Biomarkers to Identify Patients With Resectable Pancreatic Cancer.

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8.  Plasma protein profiling in a stage defined pancreatic cancer cohort - Implications for early diagnosis.

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10.  Decreased Serum Thrombospondin-1 Levels in Pancreatic Cancer Patients Up to 24 Months Prior to Clinical Diagnosis: Association with Diabetes Mellitus.

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Journal:  Clin Cancer Res       Date:  2015-11-16       Impact factor: 12.531

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