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Meta-Analysis
. 2024 Nov 1;29(6):e832-e842.
doi: 10.4317/medoral.26808.

Implications of p53 protein upregulation in oral lichen planus: a systematic review and meta-analysis

Affiliations
Meta-Analysis

Implications of p53 protein upregulation in oral lichen planus: a systematic review and meta-analysis

C Keim-Del Pino et al. Med Oral Patol Oral Cir Bucal. .

Abstract

Background: This systematic review and meta-analysis qualitatively and quantitatively analyzes the current evidence on the implications of p53 upregulation in oral lichen planus (OLP) assessed by immunohistochemical techniques, in order to identify molecular mechanisms involved in the behavior of OLP as an oral potentially malignant disorder.

Material and methods: We searched MEDLINE/PubMed, Embase, Web of Science and Scopus for studies published before February-2024. We critically assessed the methodological quality of primary-level studies and performed meta-analyses.

Results: Twenty-four individual studies met the inclusion criteria, comprising 721 OLP samples, in which the expression of p53 was analyzed through immunohistochemistry. Most OLP displayed p53 protein upregulation (pooled proportion [PP]= 66.76%, 95%CI=54.84-77.76). Regarding the magnitude of association analysis, oral squamous cell carcinoma (OSCC) cases showed a significantly higher frequency according to p53 expression in comparison to OLP (OR=2.79, 95%CI=1.84-4.24; p<0.001); while, OLP exhibited a significantly higher frequency for p53 expression in comparison to healthy controls (OR=5.70, 95%CI=2.90-11.19; p<0.001).

Conclusions: In conclusion, the present study demonstrates the frequent p53 protein upregulation in patients with OLP, which is probably indicating an antitumor response in an epithelium whose cells are under cellular stress and at risk of cancer.

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Conflict of interest statement

The authors declare no conflict of interest, financial or otherwise.

Figures

Figure 1
Figure 1
Flow diagram of the process of identification and selection of primary-level studies.
Figure 2
Figure 2
Quality plot graphically representing the risk of bias across primary-level studies, critically appraising ten domains, using a method specifically designed for meta-analyses of proportions (developed by the Joanna Briggs Institute, University of Adelaide, South Australia). Green, low risk of potential bias; yellow, moderate; red, high.
Figure 3
Figure 3
Forest plot graphically representing the differential expression of p53 -using pooled proportions as ES metric, expressed as percentage- among OLP patients. ES, effect size; CI, confidence interval; Random-effects model.

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