| Literature DB >> 27721614 |
Archana Venugopal1, T N Uma Maheswari1.
Abstract
Matrix metalloproteinase-9 (MMP-9) is an inducible enzyme. Oral potentially malignant disorders (OPMDs) are considered as the early tissue changes that happen due to various habits such as smoking tobacco, chewing tobacco or stress. This alteration in the tissues alters the expression of MMP-9. The rationale of the review is to know the expression of MMP-9 in OPMDs. Hand searching and electronic databases such as PubMed and ScienceDirect were done for mesh terms such as OPMDs and MMP-9. Eight articles were obtained, after applying inclusion and exclusion criteria. These articles were assessed with QUADAS and data were extracted and evaluated. The included eight studies were done in 182 oral squamous cell carcinoma cases, 430 OPMDs (146 oral lichen planus, 264 leukoplakia and 20 oral submucous fibrosis) and 352 healthy controls evaluated for MMP-9. MMP-9 expression was found to be elevated in tissue, serum and saliva samples of OPMDs than in healthy controls. There is only one study in each serum and saliva samples to evaluate MMP-9. Saliva being noninvasive and serum being minimally invasive, more studies need to be done in both serum and saliva to establish MMP-9 as an early diagnostic marker in OPMDs to know its potential in malignant transformation.Entities:
Keywords: Leukoplakia; matrix metalloproteinase-9; oral lichen planus; oral potentially malignant disorders; oral submucous fibrosis
Year: 2016 PMID: 27721614 PMCID: PMC5051297 DOI: 10.4103/0973-029X.190951
Source DB: PubMed Journal: J Oral Maxillofac Pathol ISSN: 0973-029X
Figure 1Prisma flowchart for selection of studies
Characteristics of included studies
Figure 2Total distribution chart of samples of tissue, serum and saliva in the included studies
Data extraction of saliva samples
Data extraction of serum samples
Figure 3Sensitivity and specificity of matrix metalloproteinase-9 in detecting oral potentially malignant disorders
Figure 4Risk of bias and applicability concern
Data extraction in tissues