Matrix metalloproteinase 2 (MMP-2) and its tissue inhibitor 2 (TIMP-2) in pancreatic cancer (PC)

2019 
// Marta Łukaszewicz-Zając 1 , Mariusz Gryko 2 , Sara Pączek 1 , Maciej Szmitkowski 1 , Boguslaw Kedra 2 and Barbara Mroczko 1, 3 1 Department of Biochemical Diagnostics, Medical University of Bialystok, Bialystok, Poland 2 Second Department of General Surgery, Medical University of Bialystok, Bialystok, Poland 3 Department of Neurodegeneration Diagnostics, Medical University of Bialystok, Bialystok, Poland Correspondence to: Barbara Mroczko, email: mroczko@umb.edu.pl Keywords: biomarker; matrix metalloproteinases; pancreatic cancer Received: November 13, 2018      Accepted: December 27, 2018      Published: January 08, 2019 ABSTRACT Objectives: The incidence rate of pancreatic cancer (PC) is similar to mortality rate, thus searching specific tumor biomarkers of PC is sorely needed. Matrix metalloproteinase-2 (MMP-2) and the imbalance between MMP-2 and its tissue inhibitor (TIMP-2) play a critical role in tumor progression. We aim to assess the diagnostic and prognostic usefulness of serum MMP-2 and TIMP-2 as potential biomarkers in comparison to well-established tumor markers of PC (CA 19-9, carbohydrate antigen 19-9 and CEA, carcinoembryonic antigen). Results: We indicated the significant differences between serum TIMP-2 concentrations in PC patients, CP individuals and control group. The diagnostic sensitivity of TIMP-2 was the highest among all proteins tested and increased up to 96% in combined measurement with MMP-2. The area under ROC curve (AUC) for TIMP-2 was larger than for MMP-2, but lower than for classical tumor markers. Methods: Presented study comprised on 226 subjects, including 92 PC patients, 43 chronic pancreatitis (CP) patients and 91 healthy volunteers. The serum concentrations of these proteins were measured using immunological methods. Conclusions: Presented findings suggest higher usefulness of TIMP-2 than MMP-2 as potential biomarker in the diagnosis of PC patients, however more studies on large population are needed to support our results.
    • Correction
    • Source
    • Cite
    • Save
    • Machine Reading By IdeaReader
    19
    References
    6
    Citations
    NaN
    KQI
    []