Evidence map›Paper›PMID 40901493›Full record

ArticleOncoTargets and therapy2025

CD93: A Promising NETs-Related Biomarker for Diagnosis and Therapy in Actinic Keratosis.

Guolin Ke, Tao Yuan, Chen Wu, Min Gao

Abstract read
In one paragraph

Article in OncoTargets and therapy, 2025. 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

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4 · The record

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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

4 authors.

Guolin KeDepartment of Dermatology, The First Affiliated Hospital, Anhui Medical University, Hefei, Anhui, 230032, People's Republic of China.
Tao YuanDepartment of Dermatology and Venereology, The First Affiliated Hospital, Wannan Medical College, Wuhu, Anhui, 241001, People's Republic of China.
Chen WuDepartment of Dermatology and Venereology, The First Affiliated Hospital, Wannan Medical College, Wuhu, Anhui, 241001, People's Republic of China.ORCID 0009-0004-3604-2242
Min GaoDepartment of Dermatology, The First Affiliated Hospital, Anhui Medical University, Hefei, Anhui, 230032, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Actinic keratosis (AK), a UV-induced precancerous skin condition potentially progressing to cutaneous squamous cell carcinoma (cSCC) with undefined mechanisms, was analyzed for neutrophil extracellular traps (NETs)-related biomarkers to identify key clinical targets. Methods: Transcriptomic profiles of AK retrieved from the GEO database were analyzed using the "limma" package to screen differentially expressed genes (DEGs), which were intersected with a curated NETs-related gene set to extract differentially expressed NETs-related genes (DE-NRGs). Functional enrichment analyses via Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) annotations identified enriched biological processes and pathways. Diagnostic biomarkers were screened using LASSO regression, random forest (RF), and Support Vector Machine Recursive Feature Elimination (SVM-RFE), with performance assessed by receiver operating characteristic (ROC) curves. Clinical validation compared CD93-positive microvessel density (CD93-MVD) levels between 53 AK samples and normal skin controls. Single-sample gene set enrichment analysis (ssGSEA) evaluated immune cell infiltration and neutrophil-related pathway activity, while molecular docking screened potential CD93-targeting drugs. Results: Nine DE-NRGs were identified by comparing AK samples with controls. GO/KEGG enrichment highlighted neutrophil chemotaxis, migration, and IL-17 signaling pathways. LASSO, RF, and SVM-RFE selected CD93 as a key diagnostic biomarker, showing overexpression in training (GSE207744, AUC=0.863) and validation (GSE32628, AUC=0.956) datasets. Immunohistochemistry confirmed significantly higher CD93-MVD levels between AK and normal skin (p=5.36×10 Conclusion: Our study establishes CD93 as a key NETs-related biomarker in AK, mechanistically linking neutrophil-driven inflammation to angiogenesis. The CD93-Gö6976 interaction provides a translational basis for developing novel targeted therapies against AK.

Indexed as

actinic keratosisAKbiomarkerCD93NETsneutrophil extracellular trapstargeted therapy

Identifiers

PMID40901493
PMCPMC12400581

What Socratic holds

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Registered trials

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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 Socratic graph.