Evidence map›Paper›PMID 42266742›Full record

ArticleAmerican journal of cancer research2026

Integrated gene expression profiling identifies key molecular drivers and a predictive signature for malignant transformation of oral lichen planus to squamous cell carcinoma.

Bingjie Wang, Mengzhe Cai, Luyi Chai, Qiang Xie

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Article in American journal of cancer research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

4 authors.

Bingjie WangDepartment of Stomatology, The Affiliated People's Hospital of Ningbo University Ningbo 315000, Zhejiang, China.
Mengzhe CaiDepartment of Stomatology, The Affiliated People's Hospital of Ningbo University Ningbo 315000, Zhejiang, China.
Luyi ChaiDepartment of Stomatology, The Affiliated People's Hospital of Ningbo University Ningbo 315000, Zhejiang, China.
Qiang XieDepartment of Medical Record, The Affiliated People's Hospital of Ningbo University Ningbo 315000, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic oral inflammation plays a crucial role in the malignant transformation of oral lichen planus (OLP) to oral squamous cell carcinoma (OSCC). This study aims to identify the key molecular characteristics related to chronic inflammation, OLP and OSCC. Integrate the gene expression data set of chronic oral inflammation, OLP and OSCC to identify common differential expression genes (DEGs). Carry out functional enrichment, protein-protein interaction (PPI) analysis, LASSO-logistic regression model, quantitative detection of inflammatory mediators and correlation analysis. It was verified in cell models and clinical tissue samples through real-time quantitative polymerase chain reaction (qRT-PCR). Through comprehensive analysis, we have identified 13 differential expression genes (DEG), which are persistently dysfunctional in chronic inflammation, OLP and OSCC pathological states, among which PTGS2, PLAUR, ERRFI1 and ODC1 are particularly critical. Based on this, we have constructed a malignant transformation prediction model of PLAUR, ERRFI1 AND ODC1. The model showed excellent effectiveness in distinguishing disease states, with an area under the curve (AUC) reaching 0.93. qRT-PCR results show that compared with normal oral epithelial cells, PLAUR, ERRFI1 and ODC1 are significantly upre-regulated (P < 0.01 or P < 0.001) in immune-stimulated simulated inflammatory environments and OSCC cells, among which they are observed in immune-stimulated cells. To the highest level of expression. The inflammatory mediators TNF-α, IL-1 and IL-6 also showed a consistent upward trend in the above cell models (P < 0.05). Correlation analysis shows that the expression of these three key genes is significantly positively correlated with the concentration of TNF-α, IL-1 and IL-6. Clinical tissue sample verification showed that the expression of ODC1, PLAUR and ERRFI1 in the normal mucosa was significantly lower than that of OLP foci and OSCC tissue, and the expression in OLP was significantly lower than that of OSCC tissue (P < 0.05). Gene expression characteristics composed of genes such as PLAUR, ERRFI1 and ODC1 can shows promising predictive capability the risk of OLP malignancy and provide new potential targets for intervention treatment.

Indexed as

bioinformaticsbiomarkerschronic inflammationmalignant transformationOral lichen planusoral squamous cell carcinoma

Identifiers

PMID42266742
PMCPMC13243666

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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.