alexa Proteomics analysis and evaluation of biomarkers for detection of cholangiocarcinoma.
Bioinformatics & Systems Biology

Bioinformatics & Systems Biology

Journal of Proteomics & Bioinformatics

Author(s): Sriwanitchrak P, Viyanant V, Chaijaroenkul W, Srivatanakul P, Gram HR,

Abstract Share this page

Abstract Cholangiocarcinoma (CCA) is a rare but devastating neoplasm that accounts for about 3\% of all gastrointestinal cancers and about 15\% of all primary liver cancers worldwide. The lack of early detection and limited therapeutic options are major problems in controlling CCA. The current study attempted to identify novel serum markers which can substitute the carbohydrate antigen CA19-9, or can improve, when measured together, the diagnostic accuracy of CA19-9. Differentially expressed proteins in pooled and individual plasma samples obtained from patients with CCA and control subjects (10 each) were identified by using two-dimensional gel electrophoresis (2-DE) and mass spectrometry (MALDI-TOF). Out of a total of 21 protein spots separated and identified, five spots were found to be up-regulated in plasma from CCA patients. The up-regulation of α1-antitrypsin (AP1) was observed in all of the ten samples from CCA patients with protein intensity significantly higher than control subjects. Based on results of binary logistic regression analysis of the three serum biomarkers (CA19-9, AP1 and α-fetoprotein: AFP), serum levels of at least CA19-9 together with AP1 were the minimum requirement to obtain prediction accuracy of greater than 80\% in a battery test for diagnosis of CCA. However, in order to obtain high predictability of 100\% or approaching, an addition of at least one of the three liver function enzymes (alkaline phosphatase: ALP; aspartase transaminase: AST; alanine trasaminase: ALT) is required. Serum biomarkers may be a useful diagnostic or prognostic monitoring tool for CCA. Further evaluation of larger number samples is needed to support their applicability in a clinical setting as diagnostic and prognostic tools. Determination of clinical utility of these marker models in early diagnosis of CCA requires study in animal models with disease progression.
This article was published in Asian Pac J Cancer Prev and referenced in Journal of Proteomics & Bioinformatics

Relevant Expert PPTs

Relevant Speaker PPTs

Recommended Conferences

  • 9th International Conference on Bioinformatics
    October 23-24, 2017 Paris, France
  • 9th International Conference and Expo on Proteomics
    October 23-25, 2017 Paris, France

Relevant Topics

Peer Reviewed Journals
 
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
 
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

 
© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version
adwords