Evidence map›Paper›PMID 42576759›Full record

ArticleHua xi kou qiang yi xue za zhi = Huaxi kouqiang yixue zazhi = West China journal of stomatology2026

[Preliminary investigation into the mechanisms of thalidomide in inhibiting the malignant transformation of oral leukoplakia].

Qianhui Shang, Gulinuer Awuti, Hao Xu, Qianming Chen, Jin Zhao

Abstract readEnglish Abstract
In one paragraph

Article in Hua xi kou qiang yi xue za zhi = Huaxi kouqiang yixue zazhi = West China journal of stomatology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Qianhui ShangDept. of Periodontology, First Affiliated Hospital of Xinjiang Medical University (Affiliated Stomatological Hospital), Xinjiang Uygur Autonomous Region Institute of Stomato-logy, Urumqi 830054, China.
Gulinuer AwutiDept. of Periodontology, First Affiliated Hospital of Xinjiang Medical University (Affiliated Stomatological Hospital), Xinjiang Uygur Autonomous Region Institute of Stomato-logy, Urumqi 830054, China.
Hao XuState Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & West China Hospital of Stomatology, Sichuan University, Chengdu 610041, China.
Qianming ChenDept. of Oral Medical Centre, Stomatology Hospital, School of Stomatology, Zhejiang University School of Medicine & Clinical Research Center for Oral Diseases of Zhejiang Province & Key Laboratory of Oral Biomedical Research of Zhejiang Province & Cancer Center of Zhejiang University & Engineering Research Center of Oral Biomaterials and Devices of Zhejiang Province, Hangzhou 310005, China.
Jin ZhaoDept. of Endodontics, First Affiliated Hospital of Xinjiang Medical University (Affiliated Stomatological Hospital), Xinjiang Uygur Autonomous Region Institute of Stomatology, Urumqi 830054, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aims to integrate network pharmacology, machine learning, and survival analysis to preliminarily explore the molecular mechanisms underlying the inhibitory effects of thalidomide on the malignant transformation of oral leukoplakia (OLK).

methodsFirst, multisource databases and an OLK transcriptomic cohort (GSE26549) were integrated to identify the intersecting feature genes between thalidomide and OLK with epithelial dysplasia, followed by pathway enrichment analysis. Subsequently, a protein-protein interaction (PPI) network was constructed, and ensemble machine learning algorithms were applied to screen for core biomarkers. Kaplan-Meier curves and multivariate Cox proportional hazard regression models were utilized to evaluate the clinical prognostic efficacy of these core biomarkers. Finally, molecular docking was employed to validate the physical binding potential between thalidomide and the core biomarkers of OLK.

resultsA total of 16 intersecting target genes between thalidomide and OLK with epithelial dysplasia were identified. These genes were primarily enriched in the signaling pathways of the cell cycle, phosphatidylinositol 3-kinase/protein kinase B (PI3K-Akt), and microRNAs in cancer. PPI network analysis combined with ensemble algorithms ultimately identified four core biomarkers: MET proto-oncogene, receptor tyrosine kinase (MET), Aurora kinase A (AURKA), DNA methyltransferase 1 (DNMT1), and poly(ADP-ribose) polymerase 1 (PARP1). Survival analysis revealed that high expression levels of MET (

conclusionsThalidomide may exert its inhibitory effects against the malignant progression of OLK by primarily targeting MET and synergistically ac-ting on key biomarkers, including AURKA, DNMT1, and PARP1, thereby suppressing downstream PI3K-Akt and cell cycle signaling pathways. This study not only provides robust computational biology evidence for the "drug repurpo-sing" of thalidomide but also highlights a promising pharmacological option for the clinical intervention of OLK's malignant transformation.

Indexed as

Cell Transformation, NeoplasticLeukoplakia, OralThalidomideDNA (Cytosine-5-)-Methyltransferase 1HumansMolecular Docking SimulationNetwork PharmacologyPoly (ADP-Ribose) Polymerase-1Protein Interaction MapsProto-Oncogene MasSignal TransductionDNA (Cytosine-5-)-Methyltransferase 1DNMT1 protein, humanMAS1 protein, humanPARP1 protein, humanPoly (ADP-Ribose) Polymerase-1Proto-Oncogene MasThalidomidemachine lear-ningmalignant transformationnetwork pharmacologyoral leukoplakiathalidomide

Identifiers

PMID42576759
PMCPMC13458856

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.