ArticleFrontiers in immunology2024
Integrated bioinformatics combined with machine learning to analyze shared biomarkers and pathways in psoriasis and cervical squamous cell carcinoma.
Article in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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.
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.
Who cites it
17 citing papers in PubMed.
- Integrated Multi-Omics Analysis of Gut Microbiota-Associated Metabolites and Related Host Molecular Signatures in Cervical Squamous Cell Carcinoma.Applied biochemistry and biotechnology · 2026Article
- Non-structural maintenance of chromosome condensin I complex subunit H knockdown suppresses malignant progression of esophageal squamous cell carcinoma via the Wnt/β-catenin signaling pathway.Journal of gastrointestinal oncology · 2026Article
- Neural network-enhanced investigation of ferroptosis and druggability in early-onset alzheimer's disease.Metabolic brain disease · 2026Article
- An Exploratory Transcriptomic Classification Model for Psoriasis Based on Apoptosis-Associated and Proliferation-Apoptosis-Coupled Genes Using Explainable Machine Learning.International journal of molecular sciences · 2026Article
- Domain-Adaptive Transfer Learning for HPV Lesion Classification in Whole Slide Images: A Patient-Level Pipeline Across the Cytology-Histology Continuum.Bioengineering (Basel, Switzerland) · 2026Article
- Cell-type-specific causal effects of CEBPD in CD8 + S100B + Tcells and ZFP36 in monocytes modulate the protective and risk phenotypes in psoriasis.Mammalian genome : official journal of the International Mammalian Genome Society · 2026Article
- Integrated bioinformatics and machine learning identify early diagnostic biomarkers for MAFLD with comorbid psoriasis.Frontiers in immunology · 2026Article
- Transcriptomics, identification, and testing of manganese metabolism-related genes in cervical squamous cell carcinoma.Frontiers in oncology · 2026Article
- UHRF1 and NF-κB signaling in prostate cancer progression insights from bioinformatics and experimental validation.BMC cancer · 2025Article
- NLRP3-inflammasome Related Genes as Emerging Biomarkers and Therapeutic Targets in Psoriasis.Inflammation · 2025Article
- Bibliometric analysis of research on cervical cancer and miRNAs from 2010 to 2024: research trends, hotspots, and prospects.Discover oncology · 2025Article
- FEN1 plays a key role in the transition from HSIL to CSCC.Scientific reports · 2025Article
- Hypoxia-induced RHCG as a key regulator in psoriasis and its modulation by secukinumab.APL bioengineering · 2025Article
- Pan-cancer analysis and single-cell analysis identifies the CENPN as a biomarker for survival prognosis and immunotherapy.Discover oncology · 2025Article
- Recent progress on DNA methylation in psoriasis.Frontiers in genetics · 2025Review
- Exploring immune-inflammation markers in psoriasis prediction using advanced machine learning algorithms.Frontiers in immunology · 2025Article
- Identification and validation of shared biomarkers and drug repurposing in psoriasis and Crohn's disease: integrating bioinformatics, machine learning, and experimental approaches.Frontiers in immunology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Psoriasis extends beyond its dermatological inflammatory manifestations, encompassing systemic inflammation. Existing studies have indicated a potential risk of cervical cancer among patients with psoriasis, suggesting a potential mechanism of co-morbidity. This study aims to explore the key genes, pathways, and immune cells that may link psoriasis and cervical squamous cell carcinoma (CESC). Methods: The cervical squamous cell carcinoma dataset (GSE63514) was downloaded from the Gene Expression Omnibus (GEO). Two psoriasis-related datasets (GSE13355 and GSE14905) were merged into one comprehensive dataset after removing batch effects. Differentially expressed genes were identified using Limma and co-expression network analysis (WGCNA), and machine learning random forest algorithm (RF) was used to screen the hub genes. We analyzed relevant gene enrichment pathways using GO and KEGG, and immune cell infiltration in psoriasis and CESC samples using CIBERSORT. The miRNA-mRNA and TFs-mRNA regulatory networks were then constructed using Cytoscape, and the biomarkers for psoriasis and CESC were determined. Potential drug targets were obtained from the cMAP database, and biomarker expression levels in hela and psoriatic cell models were quantified by RT-qPCR. Results: In this study, we identified 27 key genes associated with psoriasis and cervical squamous cell carcinoma. NCAPH, UHRF1, CDCA2, CENPN and MELK were identified as hub genes using the Random Forest machine learning algorithm. Chromosome mitotic region segregation, nucleotide binding and DNA methylation are the major enrichment pathways for common DEGs in the mitotic cell cycle. Then we analyzed immune cell infiltration in psoriasis and cervical squamous cell carcinoma samples using CIBERSORT. Meanwhile, we used the cMAP database to identify ten small molecule compounds that interact with the central gene as drug candidates for treatment. By analyzing miRNA-mRNA and TFs-mRNA regulatory networks, we identified three miRNAs and nine transcription factors closely associated with five key genes and validated their expression in external validation datasets and clinical samples. Finally, we examined the diagnostic effects with ROC curves, and performed experimental validation in hela and psoriatic cell models. Conclusions: We identified five biomarkers,
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.