| Literature DB >> 29875583 |
T N Uma Maheswari1, Archana Venugopal1, Nivedhita Malli Sureshbabu2, Prathiba Ramani3.
Abstract
Oral potentially malignant disorders (OPMD) are oral mucosal disorders which have a high potential to turn into malignancy. A recent report suggests that 16%-62% of epithelial dysplasia cases of OPMD undergo malignant transformation, showing the need for early detection of malignancy in these disorders. Micro RNA (miRNA) plays an important role in cellular growth, differentiation, apoptosis, and immune response, and hence, deregulation of miRNA is considered a signature of oral carcinogenesis. A search was done using MeSH terms in the PubMed, ScienceDirect databases, hand search, and finally, six studies were included in this systematic review. A total of 167 patients with oral cancer, 78 with OPMDs, 147 healthy controls, and 20 disease controls were analyzed for the expression of salivary miRNAs. Quality assessment based on the Quality Assessment of Diagnostic Accuracy Studies 2 tool was used to obtain a risk of bias chart using Revman 5.3 software and it was proved that the study done by Zahran et al. in 2015 had a low risk of bias. The results of this study revealed upregulated miRNA 184 with an area under the curve (AUC) of 0.86 and miRNA 21 with an AUC of 0.73 and downregulated miRNA 145 with an AUC of 0.68, which proved that these miRNAs are significant in detecting early malignancy in OPMD and should be further analyzed in various populations. This systematic review explored the potential of expression of salivary miRNA in OPMD for future studies. This could pave the way to utilize saliva as a surrogate marker in diagnosing early malignant changes in OPMD.Entities:
Keywords: Biomarker; Micro RNA; Oral cancer; Oral potentially malignant disorders; Salivary micro RNA
Year: 2018 PMID: 29875583 PMCID: PMC5968743 DOI: 10.4103/tcmj.tcmj_114_17
Source DB: PubMed Journal: Ci Ji Yi Xue Za Zhi
Figure 1Prisma flowchart for selection of studies
Data extraction of all six studies
| Year, author, and population | Samples and method | Mean±SD | miR | Sensitivity, specificity, and AUC | Results |
|---|---|---|---|---|---|
| Park | 50 - OSCC | miR-200a | Endogenous miR-191 | miR-200a | miR-191 degrades at a lower rate than exogenous miR-124a |
| Liu | 45 - OSCC | miR-31-8.3±0.3 | miR-16 | miR-31 | Levels of salivary miR-31 |
| Momen-Heravi | 9 - OSCC | Not mentioned | Endogenous | miR-27b | miR 191 most stable hence |
| Zahran | 20 - HC | miR-184-2.5±0.2 | miR-184 | miR-184 | miR-21 and miR-184 highest in |
| Al- Malkey | 35 - OSCC | miR-31 | miR-31 | Not mentioned | Fold change was higher in oral |
| Hung | 46 tissue samples of | Not mentioned | miR-21 | miR-31 | miR-21 and miR-31 significantly |
HCs: Healthy controls, OSCC: Oral squamous cell carcinoma, OPMD: Oral potentally malignant disorder, OVL: Oral Verrucous leukoplakia, RAS: Recurrent aphthous stomatitis, miRs: Micro RNAs, RT: Reverse transcription, qPCR: Quantitative polymerase chain reaction, AUC: Area under the curve, OLP: Oral lichen planus, SD: Standard deviation
Figure 2Total number of saliva samples evaluated for micro RNA
Figure 3Risk of bias and applicability concerns for all six studies
Figure 4Risk of bias and applicability concerns for the four domains for all six studies
Figure 5Areas under the curve for the micro RNA considered in 4 studies (Zaharan et al., Momen Heravi et al., Park et al., and Liu et al.) for oral squamous cell carcinoma. Red indicates down regulated micro RNA and blue indicates upregulated micro RNA