Next Article in Journal
State of the Art on Functional Virgin Olive Oils Enriched with Bioactive Compounds and Their Properties
Next Article in Special Issue
Detection of Circulating Tumor Cells Using Negative Enrichment Immunofluorescence and an In Situ Hybridization System in Pancreatic Cancer
Previous Article in Journal
Brain-Derived Neurotrophic Factor Loaded PS80 PBCA Nanocarrier for In Vitro Neural Differentiation of Mouse Induced Pluripotent Stem Cells
Previous Article in Special Issue
The Development of a Novel Therapeutic Strategy to Target Hyaluronan in the Extracellular Matrix of Pancreatic Ductal Adenocarcinoma
Article Menu
Issue 3 (March) cover image

Export Article

Open AccessReview
Int. J. Mol. Sci. 2017, 18(3), 667; doi:10.3390/ijms18030667

Novel Diagnostic and Predictive Biomarkers in Pancreatic Adenocarcinoma

1
Division of Radiology, Banner MD Anderson Cancer Center, Gilbert, AZ 85234, USA
2
Division of Medical Oncology, Banner MD Anderson Cancer Center, Gilbert, AZ 85234, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Srikumar Chellappan
Received: 23 January 2017 / Revised: 7 March 2017 / Accepted: 10 March 2017 / Published: 20 March 2017
(This article belongs to the Special Issue Pancreatic Disorders)
View Full-Text   |   Download PDF [490 KB, uploaded 21 March 2017]   |  

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal disease for a multitude of reasons including very late diagnosis. This in part is due to the lack of understanding of the biological behavior of PDAC and the ineffective screening for this disease. Significant efforts have been dedicated to finding the appropriate serum and imaging biomarkers to help early detection and predict response to treatment of PDAC. Carbohydrate antigen 19-9 (CA 19-9) has been the most validated serum marker and has the highest positive predictive value as a stand-alone marker. When combined with carcinoembryonic antigen (CEA) and carbohydrate antigen 125 (CA 125), CA 19-9 can help predict the outcome of patients to surgery and chemotherapy. A slew of novel serum markers including multimarker panels as well as genetic and epigenetic materials have potential for early detection of pancreatic cancer, although these remain to be validated in larger trials. Imaging studies may not correlate with elevated serum markers. Critical features for determining PDAC include the presence of a mass, dilated pancreatic duct, and a duct cut-off sign. Features that are indicative of early metastasis includes neurovascular bundle involvement, duodenal invasion, and greater post contrast enhancement. 18-F-fluorodeoxyglucose (18-FDG) radiotracer uptake and changes following treatment may predict patient overall survival following treatment. Similarly, pretreatment apparent diffusion coefficient (ADC) values may predict prognosis with lower ADC lesions having worse outcome. Although these markers have provided significant improvement in the care of pancreatic cancer patients, further advancements can be made with perhaps better combination of markers or discovery of unique marker(s) to pancreatic cancer. View Full-Text
Keywords: pancreatic ductal adenocarcinoma; biomarker; serum; imaging pancreatic ductal adenocarcinoma; biomarker; serum; imaging
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Chang, J.C.; Kundranda, M. Novel Diagnostic and Predictive Biomarkers in Pancreatic Adenocarcinoma. Int. J. Mol. Sci. 2017, 18, 667.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Int. J. Mol. Sci. EISSN 1422-0067 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top