Blood and Salivary MicroRNAs for Diagnosis of Oral Squamous Cell Carcinoma: A Systematic Review and Meta-Analysis
| Autor: | Jie Cheng, Sheng Li, Zhili Xin, Hongbing Jiang, Dingshan Liu, Songsong Guo |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Oncology
medicine.medical_specialty Saliva MEDLINE Cochrane Library 03 medical and health sciences 0302 clinical medicine Internal medicine microRNA medicine Biomarkers Tumor Humans Basal cell Body fluid Receiver operating characteristic business.industry Squamous Cell Carcinoma of Head and Neck 030206 dentistry MicroRNAs Otorhinolaryngology Head and Neck Neoplasms 030220 oncology & carcinogenesis Meta-analysis Carcinoma Squamous Cell Surgery Mouth Neoplasms Oral Surgery business |
| Zdroj: | Journal of oral and maxillofacial surgery : official journal of the American Association of Oral and Maxillofacial Surgeons. 79(5) |
| ISSN: | 1531-5053 |
| Popis: | Purpose This meta-analysis aimed to compare and evaluate the diagnostic accuracy of blood and salivary microRNAs (miRNAs) in discriminating oral squamous cell carcinoma (OSCC). Methods The PubMed, Embase, Web of Science, and Cochrane Library were searched (updated to February 2020) to identify all articles describing the diagnostic value of blood and salivary miRNAs for OSCC. The pooled parameters were calculated using Revman (v.5.3) and STATA (v.14.0). Results Twenty articles involving 1,106 patients and 732 controls were included in this meta-analysis. The pooled sensitivity and specificity of salivary miRNAs were 0.70 (95% CI: 0.63-0.77) and 0.82 (95% CI: 0.72-0.90). For blood miRNAs, they were 0.79 (95% CI: 0.73-0.84) and 0.82 (95% CI: 0.77-0.86). The areas under receiver operating characteristic curve in saliva, blood, and body fluid miRNAs were 0.80 (95% CI: 0.77-0.84), 0.88 (95% CI: 0.84-0.90), and 0.87 (95% CI: 0.84-0.90), respectively. Conclusions The results of this meta-analysis indicate a moderate diagnostic accuracy of blood and salivary miRNAs presented for OSCC. These findings may provide less invasive and relatively reliable diagnostic tools for OSCC detection. |
| Databáze: | OpenAIRE |
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