ArticleCureus2026
Comparative Evaluation of Salivary Inflammatory Cytokines and microRNA Biomarkers Across the Spectrum of Oral Carcinogenesis.
Article in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background Oral potentially malignant disorders (OPMDs) represent precursor conditions that carry an elevated probability of progressing to oral squamous cell carcinoma (OSCC). Despite ongoing research efforts, identifying dependable, non-invasive markers that can detect early molecular changes linked to malignant conversion continues to present a significant clinical obstacle. Objective To evaluate the diagnostic utility of salivary inflammatory cytokines (IL-10 and IL-17) and microRNAs (miR-21, miR-138, and miR-184) in healthy individuals, patients with OPMDs, and patients with OSCC, and to assess the performance of a combined biomarker panel for oral cancer clinical stratification. Methods A cross-sectional analytical study was conducted involving 150 participants categorized into healthy controls (n=50), OPMD patients (n=50), and histopathologically confirmed OSCC patients (n=50). Salivary IL-10 and IL-17 concentrations were quantified using enzyme-linked immunosorbent assay (ELISA), whereas miR-21, miR-138, and miR-184 expression levels were measured using quantitative reverse-transcription polymerase chain reaction (qRT-PCR). Relative miRNA expression was calculated using the 2^-ΔΔCt method. Diagnostic performance was evaluated using receiver operating characteristic (ROC) curve analysis. Results Significant alterations in salivary cytokine and microRNA expression were observed across the disease spectrum. miR-21 and miR-184 demonstrated progressive upregulation, whereas miR-138 showed progressive downregulation from healthy controls to OPMD and OSCC patients (all p<0.001). Both IL-10 and IL-17 were significantly elevated in OPMD and OSCC patients compared with healthy controls (both p<0.001). Biomarker expression profiles were significantly associated with dysplasia severity and tumor stage. Among individual biomarkers, miR-138 demonstrated the highest diagnostic accuracy (AUC=0.84), followed by IL-17 (AUC=0.82), miR-21 (AUC=0.80), miR-184 (AUC=0.76), and IL-10 (AUC=0.74). The combined cytokine-microRNA panel achieved superior performance, with an AUC of 0.93, sensitivity of 90%, and specificity of 88%. Conclusions The findings support the potential utility of integrated salivary biomarker profiling as a non-invasive approach for early detection, clinical stratification, and disease monitoring in oral carcinogenesis. The combined biomarker panel highlights the potential of integrated salivary diagnostics for improving the non-invasive detection and clinical assessment of OPMDs and OSCC.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.