Utility of Matrix Metalloproteinases in the Diagnosis, Monitoring and Prognosis of Ovarian Cancer Patients.
Aleksandra KicmanMarek NiczyporukMonika KuleszaJoanna MotykaSławomir ŁawickiPublished in: Cancer management and research (2022)
Ovarian cancer is one of the most common gynecologic malignancies. It is characterized by a high mortality rate, which is mainly due to the asymptomatic course of the disease. In light of the high mortality rate and increasing morbidity, new diagnostic methods are being explored to enable earlier detection, better monitoring, and improved prognosis. Such diagnostic methods include the assessment of tumor markers in various biological samples. Among the markers currently being investigated, extracellular matrix metalloproteinases (MMPs) are of particular interest. The objective of this article was to compile the existing knowledge of MMPs in ovarian cancer patients and to describe their potential diagnostic utility. Additionally, this article provides an overview of the symptoms, complications, and risk factors associated with ovarian cancer and the role of MMPs in physiology and pathology. Preliminary results indicate that tissue expression and blood and body fluid levels of MMPs may be different in ovarian cancer patients than in healthy women. The expression and concentration of individual MMPs have been shown to be correlated with cancer stage and disease severity. In addition, the preliminary value of some of these enzymes in predicting prognosis is discussed. However, as the amount of data is limited, more studies are needed to fully evaluate the potential function of individual MMPs in ovarian cancer patients. Based on the knowledge gathered for this article, it seems that MMP-2, MMP-3, MMP-7, MMP-8, MMP-9, MMP-13, are tentatively the most useful. A thorough evaluation of their utility as modern biomarkers in ovarian cancer requires further investigation.
Keyphrases
- cell migration
- extracellular matrix
- poor prognosis
- healthcare
- cardiovascular events
- newly diagnosed
- risk factors
- end stage renal disease
- ejection fraction
- cardiovascular disease
- climate change
- adipose tissue
- squamous cell carcinoma
- binding protein
- pregnant women
- depressive symptoms
- electronic health record
- coronary artery disease
- artificial intelligence
- squamous cell
- skeletal muscle
- endometrial cancer
- cervical cancer screening