ArticleInternational journal of general medicine2022
Identification of Biomarkers Related to Regulatory T Cell Infiltration in Oral Squamous Cell Carcinoma Based on Integrated Bioinformatics Analysis.
Article in International journal of general medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- The cost of persistent alarm: temporal transcriptional reprogramming of macrophages from acute activation to chronic immune suppression by day 11.Frontiers in immunology · 2026Article
- Single-cell RNA sequencing reveals tumor cell and immune cell variations associated with lymphatic metastasis in papillary thyroid cancer.Endocrine connections · 2025Article
- Molecular profiling of core immune-escape genes highlights LCK as an immune-related prognostic biomarker in melanoma.Frontiers in immunology · 2022Article
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Oral squamous cell carcinoma (OSCC) is one of the most prevalent malignancies worldwide. More recently, the administration of immune checkpoint inhibitors has opened up more possibilities for cancer treatment. Methods: We utilized a weighted gene co-expression network and the single sample gene set enrichment analysis (ssGSEA) algorithm in the TCGA database and identified a module highly correlated with regulatory T cell (Treg) abundance in OSCC. Subsequently, we verified the results by tissue microarrays and utilized immunohistochemical staining (IHC) to test the relationship between the expression level and clinicopathological staging. CCK-8, transwell, and wound healing assays were utilized to detect the functions of OSCC cells. Results: LCK, IL10RA, and TNFRSF1B were selected as biomarkers related to regulatory T cell infiltration. IHC staining showed significantly increased expression of Conclusion: We performed a series of bioinformatics analyses in OSCC and identified three oncogenic indicators: LCK, IL10RA, TNFRSF1B. These findings uncovered the potential prognostic values of hub genes, thus laying foundations for in-depth research in OSCC.
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