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Objective: To analyze the use of salivary biomarkers to identify psychological disorders (anxiety, depression, and stress) in individuals with oral lichen planus (OLP). Materials and Methods: The search was made in Medline/Pubmed, Scopus, Web of Science, Virtual Health Library, ProQuest, and by cross‐reference. Original case–control, cross‐sectional, and cohort studies, in human subjects (age ≥18 years) with clinical and histopathological diagnosis, with or without the use of psychometric scales, published until June 2021, were included. Random‐effects meta‐analyses, subgroup analyses, and sensitivity were performed. Publication bias was measured using the Egger test and visual inspection of the funnel plot. Results: A total of 67 articles were found, of which 12 were included in the meta‐analysis. Among the different biomarkers identified, it was only possible to perform a meta‐analysis for cortisol. The mean difference between salivary cortisol levels in patients with OLP compared to controls was 3.43 ng/ml (95% CI: 1.20–5.65) with I2 = 98.9%. Studies considered outliers were removed and based on sensitivity analyses, results did not change, therefore, being stable. Conclusion: The studies analyzed demonstrated that cortisol was the most quantified biomarker to identify psychological disorders; however, DHEA, IgA, adiponectin, and α‐amylase were also evaluated. [ABSTRACT FROM AUTHOR]

Objective: To investigate psychological (anxiety, depression, and stress) and salivary (flow and concentration of α‐amylase) profile associated with oral lichen planus. Materials and methods: A case–control preliminary study with oral lichen planus patients and age–gender matched controls was conducted. The participants underwent psychological tests (Beck depression and anxiety inventories and perceived stress scale) and saliva collection to determine the unstimulated salivary flow and α‐amylase levels at three moments along the day. The data were analyzed statistically using Mann–Whitney, McNemar chi‐square and Friedman tests, and the Spearman correlation coefficient. The significance level adopted was 5%. Results: A total of 46 case–control pairs were recruited. There was a significant correlation between anxiety, depression, stress, and oral lichen planus, as well as the stress and decline of salivary α‐amylase levels. Higher concentrations of this biomarker were found in the case group thirty minutes post‐awakening. Conclusion: The applied psychological tests indicated that factors such as anxiety, depression, and stress were associated with oral lichen planus. Salivary analyses demonstrated a higher concentration of α‐amylase thirty minutes post‐awakening on individuals with the disease and its decline correlated with stress, suggesting the role of α‐amylase as a promising biomarker for future studies. [ABSTRACT FROM AUTHOR]

The article presents the discussion on analyzing the epidemiological trends of MSGC in Brazil. Topics include workers in the rubber industry, and exposed to nickel or silica powder compounds; and high prevalence of uncommon morphologies squamous cell carcinoma, carcinoma, NOS, adenocarcinoma, and NOS and low prevalence of otherwise common MSGC.

To investigate similarities in the gene profile of Oral Lichen Planus and Oral Squamous Cell Carcinoma that may justify a carcinogenic potential, we analyzed the gene expression signatures of Oral Lichen Planus and Oral Squamous Cell Carcinoma in early and advanced stages. Based on gene expression data from public databases, we used a bioinformatics approach to compare expression profiles, estimate immune infiltrate composition, identify differentially and co-expressed genes, and propose putative therapeutic targets and associated drugs. Our results revealed gene expression patterns related to processes of keratinization, keratinocyte differentiation, cell proliferation and immune response in common between Oral Lichen Planus and early and advanced Oral Squamous Cell Carcinoma, with the cornified envelope formation and antigen processing cross-presentation pathways in common between Oral Lichen Planus and early Oral Squamous Cell Carcinoma. Together, these results reveal that key tumor suppressors and oncogenes such as PI3, SPRR1B and KRT17, as well as genes associated with different immune processes such as CXCL13, HIF1A and IL1B are dysregulated in OLP. [ABSTRACT FROM AUTHOR]