ArticleTranslational cancer research2023
An integrated bioinformatics analysis of the S100 in head and neck squamous cell carcinoma.
Article in Translational cancer research, 2023. 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
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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.
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Who cites it
4 citing papers in PubMed, 4 citations in OpenAlex.
- RAPTOR Silencing Inhibits Head and Neck Squamous Cell Carcinoma Progression via Regulation of S100A8/A9 and Urokinase Plasminogen Activator.Medical science monitor : international medical journal of experimental and clinical research · 2026Article
- Tumor-associated macrophages drive heterogenetic CD10International journal of biological sciences · 2025Article
- Bioinformatics analysis revealsTranslational cancer research · 2024Article
- Developing and validating the model of tumor-infiltrating immune cell to predict survival in patients receiving radiation therapy for head and neck squamous cell carcinoma.Translational cancer research · 2024Article
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 at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: This study aims to evaluate the expression profile and clinical value of the S100 family in head and neck squamous cell carcinoma (HNSCC). Methods: The expression patterns, clinicopathological features, prognostic significance and underlying correlations of S100 family genes in HNSCC were determined by bioinformatics analysis with the application of several databases, including the The Cancer Genome Atlas (TCGA) and Oncomine for differential expression gene (DEG) analysis, and a series of analysis tools, including Database for Annotation, Visualization and Integrated Discovery (DAVID), cBioPortal, Kaplan-Meier Plotter, Tumor Immune Estimation Resource (TIMER) and R software packages. Results: The results from the study demonstrated that S100A4, S100A10, and S100A13 may act as prognostic markers through overall survival (OS), disease-free survival (DFS) and tumor infiltrating immune cell enrichment and a prognostic S100 family gene model comprising Conclusions: This present study demonstrated that S100 family members are implicated in the initiation, progression, metastasis and survival of HNSCC.
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Registered trials
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