@article{Liu_Zhou_Lin_Yao_2020, title={Role of serum matrix metalloproteinase in the diagnosis of gastric cancer}, volume={36}, url={https://www.pjms.org.pk/index.php/pjms/article/view/2059}, DOI={10.12669/pjms.36.5.2059}, abstractNote={<p><em><strong>Objective:</strong></em> To determine the clinical value of a matrix metalloproteinase (MMP) antibody array in diagnosing gastric cancer (GC).</p> <p><em><strong>Methods:</strong> </em>In this prospective study, serum samples of patients with GC (n=66) and non-neoplastic gastric disease (NGD; n=34) were collected between November 2017 and July 2018. The quantitative measurement of 10 MMP-related proteins was done using MMP arrays and compared between the two groups.</p> <p><em><strong>Results:</strong></em> The serum levels of MMPs 3, 8, 9 and tissue inhibitor of metalloproteinases (TIMPs) 1 and 2 were significantly higher in the GC group than in the NGD group (p&lt;0.05). The area under curve (AUC) of the 10 MMP proteins for the diagnosis of GC varied between 0.500 and 0.658. The total AUC of all MMPs was 0.897 (95% CI: 0.837-0.957). The total AUC of the five MMPs (MMPs 3, 8, 9, and TIMPs 1 and 2) was 0.821 (95% CI: 0.733-0.909) for diagnosing GC. Also, the 10-factor and 5-factor predictive models had good diagnostic ability for early GC with an AUC of 0.865 (95% CI: 0.753-0.977) and 0.749 (95% CI: 0.600-0.898), respectively.</p> <p><em><strong>Conclusions:</strong></em> The detection of multiple serum MMPs with protein biochip technology is promising to be used as a novel non-invasive tool for facilitating early diagnosis or screening of GC.</p> <p><strong>doi: https://doi.org/10.12669/pjms.36.5.2059</strong></p> <p><em><strong>How to cite this:</strong></em><br>Liu J, Zhou L, Lin S, Yao B. Role of serum matrix metalloproteinase in&nbsp;the&nbsp;diagnosis&nbsp;of&nbsp;gastric cancer. Pak J Med Sci. 2020;36(5):1025-1031. doi: https://doi.org/10.12669/pjms.36.5.2059</p> <p>This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</p&gt;}, number={5}, journal={Pakistan Journal of Medical Sciences}, author={Liu, Jian and Zhou, Liya and Lin, Sanren and Yao, Bei}, year={2020}, month={Jun.} }