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- Title
The relationship between salivary cytokines and oral cancer and their diagnostic capability for oral cancer: a systematic review and network meta-analysis.
- Authors
Huang, Lijun; Luo, Fen; Deng, Mingsi; Zhang, Jie
- Abstract
Background: Oral cancer (OC) is a common malignancy in clinical practice. Saliva testing is a convenient and noninvasive early diagnostic technique for OC. Several salivary cytokines have been identified as potential biomarkers for OC, including IL-8, IL-6, TNF-α, IL-1β, and IL-10. Nonetheless, the optimal cytokine for OC diagnosis remains inconclusive and highly contentious. Methods: PubMed, Embase, Web of Science, and Cochrane Library databases were comprehensively retrieved to collect all case–control studies on OC. A meta-analysis was performed to compare the levels of salivary IL-8, IL-6, IL-10, TNF-α, and IL-1β in OC patients and healthy controls. Network meta-analysis (NMA) was carried out to probe into the accuracy of these salivary cytokines in diagnosing OC. Results: This analysis included 40 studies, encompassing 1280 individuals with OC and 1254 healthy controls. Significantly higher levels of salivary IL-8, IL-6, TNF-α, IL-1β, and IL-10 were observed in patients with OC in comparison to healthy controls. The results of NMA showed that TNF-α had the highest diagnostic accuracy for OC, with a sensitivity of 79% and a specificity of 92%, followed by IL-6 (sensitivity: 75%, specificity: 86%) and IL-8 (sensitivity: 80%, specificity: 80%). Conclusion: This study suggests that IL-8, IL-6, IL-10, TNF-α, and IL-1β may be potential diagnostic biomarkers for OC. Among them, TNF-α, IL-6, and IL-8 are highly accurate in the diagnosis of OC. Nevertheless, further studies that eliminate other confounding factors are warranted, and more standardized procedures and large-scale studies are needed to support the clinical use of saliva testing.
- Subjects
SALIVA analysis; MEDICAL information storage &; retrieval systems; MOUTH tumors; HEALTH status indicators; RESEARCH funding; RESEARCH evaluation; TUMOR markers; META-analysis; DESCRIPTIVE statistics; SYSTEMATIC reviews; MEDLINE; MEDICAL databases; CYTOKINES; ONLINE information services; EARLY diagnosis; INTERLEUKINS; SENSITIVITY &; specificity (Statistics); TUMOR necrosis factors; INTERLEUKIN-1
- Publication
BMC Oral Health, 2024, Vol 24, Issue 1, p1
- ISSN
1472-6831
- Publication type
Article
- DOI
10.1186/s12903-024-04840-3