ArticleDiscover oncology2025
Uncovering biomarkers and pathways in oral squamous cell carcinoma through integrated lncRNA-mRNA regulatory network analysis.
Article in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- Current Trends in Diagnosis and Early Monitoring of Oral Cavity Cancer: Techniques and Biomarkers.Cancers · 2026Review
- Molecular Mechanisms in Oral Squamous Cell Carcinoma: Integrative Roles of Cancer-Associated Fibroblasts, Immune Microenvironment, and Precision Therapeutic Opportunities.International journal of molecular sciences · 2026Review
- LINC00514 regulates oral squamous cell carcinoma progression and prognosis by targeting miR-195-5p.BMC oral health · 2026Article
- Targeting Non-coding RNAs in Neurodegeneration: Advances in Therapeutic RNA Modalities and Next-Gen Delivery Technologies.Current Alzheimer research · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThis study aimed to identify potential biomarkers and elucidate molecular mechanisms in oral squamous cell carcinoma (OSCC) by leveraging an integrated bioinformatics approach.
methodsWe conducted high-throughput RNA sequencing on OSCC and adjacent normal tissues to profile mRNA and lncRNA expression. Differentially expressed genes were identified and subjected to Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. A competing endogenous RNA (ceRNA) network was constructed, and protein-protein interaction (PPI) networks were analyzed using STRING and Cytoscape software. Hub genes were identified using the Cytohubba plug-in in Cytoscape.
resultsOur analysis identified 5362 differentially expressed mRNAs and 2801 differentially expressed lncRNAs. GO analysis revealed that dysregulated mRNAs were associated with system development and responses to organic substances. At the same time, lncRNAs were enriched in muscle system processes and cell-cell signaling. KEGG pathway analysis highlighted cancer-related pathways, including cytokine-cytokine receptor interactions and the NF-kappa B signaling pathway. The constructed ceRNA network highlighted key regulatory nodes, including hub genes IGF2BP1, CLDN6, and HLA-G, which may play pivotal roles in OSCC.
conclusionsThis study provides a comprehensive lncRNA-mRNA regulatory network and identifies biomarkers that could advance OSCC therapeutic strategies. The findings offer new insights into OSCC pathogenesis and potential targets for clinical application.
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.