Skip to main navigation Skip to search Skip to main content

Detection of colorectal neoplasia: Combination of eight blood-based, cancer-associated protein biomarkers: Combination of eight blood-based, cancer-associated protein biomarkers

  • Michael Wilhelmsen
  • , Ib J. Christensen
  • , Louise Rasmussen
  • , Lars N. Jorgensen
  • , Mogens R. Madsen
  • , Jesper Vilandt
  • , Thore Hillig
  • , Michael Klaeke
  • , Knud T. Nielsen
  • , Soren Laurberg
  • , Nils Brunner
  • , Susan Gawel
  • , Xiaoqing Yang
  • , Gerard Davis
  • , Annemieke Heijboer
  • , Frans Martens
  • , Hans J. Nielsen
  • , Lars N. Jørgensen
  • , Michael Klærke
  • , Søren Laurberg
  • pre-AMC
  • University of Copenhagen
  • Abbott Diagnostics
  • VU University Medical Center

Research output: Contribution to journalArticleAcademicpeer-review

8 Downloads (Pure)

Abstract

Serological biomarkers may be an option for early detection of colorectal cancer (CRC). The present study assessed eight cancer-associated protein biomarkers in plasma from subjects undergoing first time ever colonoscopy due to symptoms attributable to colorectal neoplasia. Plasma AFP, CA19-9, CEA, hs-CRP, CyFra21-1, Ferritin, Galectin-3 and TIMP-1 were determined in EDTA-plasma using the Abbott ARCHITECT (R) automated immunoassay platform. Primary end points were detection of (i) CRC and high-risk adenoma and (ii) CRC. Logistic regression was performed. Final reduced models were constructed selecting the four biomarkers with the highest likelihood scores. Subjects (N - 4,698) were consecutively included during 2010-2012. Colonoscopy detected 512 CRC patients, 319 colonic cancer and 193 rectal cancer. Extra colonic malignancies were detected in 177 patients, 689 had adenomas of which 399 were high-risk, 1,342 had nonneoplastic bowell disease and 1,978 subjects had 'clean' colorectum. Univariable analysis demonstrated that all biomarkers were statistically significant. Multivariate logistic regression demonstrated that the blood-based biomarkers in combination significantly predicted the endpoints. The reduced model resulted in the selection of CEA, hs-CRP, CyFra21-1 and Ferritin for the two endpoints; AUCs were 0.76 and 0.84, respectively. The postive predictive value at 90% sensitivity was 25% for endpoint 1 and the negative predictive value
Original languageEnglish
Pages (from-to)1436-1446
Number of pages11
JournalInternational journal of cancer. Journal international du cancer
Volume140
Issue number6
DOIs
Publication statusPublished - 15 Mar 2017

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • blood-based biomarkers
  • colorectal cancer
  • detection

Fingerprint

Dive into the research topics of 'Detection of colorectal neoplasia: Combination of eight blood-based, cancer-associated protein biomarkers: Combination of eight blood-based, cancer-associated protein biomarkers'. Together they form a unique fingerprint.

Cite this