ArticleJournal of dental sciences2021
Mining TCGA database for prognostic genes in head and neck squamous cell carcinoma microenvironment.
Article in Journal of dental sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 11 citations in OpenAlex.
- Potential role of G protein‑coupled receptor 124 in cardiovascular and cerebrovascular disease (Review).Experimental and therapeutic medicine · 2025Review
- Integrative analysis of ASXL family genes reveals ASXL2 as an immunoregulatory molecule in head and neck squamous cell carcinoma.Scientific reports · 2024Article
- Identification of RAS-like oncoprotein B (RALB) as a potential prognostic and therapeutic target in head and neck squamous cell carcinoma.American journal of translational research · 2024Article
- Feature screening for survival trait with application to TCGA high-dimensional genomic data.PeerJ · 2022Article
- Review
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Authors and funding
10 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
background/purposeHead and neck squamous cell carcinoma (HNSCC) is one of the most common malignant tumors. The aim of this study was to elucidate the effect of tumor microenvironment-related genes on the prognosis of HNSCC and to obtain tumor microenvironment-related genes that can predict poor prognosis in HNSCC patients. MATERIALS AND
methodsThe ESTIMATE algorithm was applied to the HNSCC transcriptomic data downloaded from the TCGA (The cancer genome atlas), and then the samples were divided into two groups: high and low immune scoring groups, and high and low basal scoring groups to screen for differentially expressed genes (DEGs) associated with poor patient outcomes. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis was performed to explore the potential functions of DEGs, and then to explore the potential prognostic value of individual DEGs. The results of survival analysis between DEGs and overall survival (OS) to explore tumor microenvironment-related genes relevant to the prognosis of HNSCC patients.
resultsFifty-nine tumor microenvironment-related genes were screened for association of OS with HNSCC (P < 0.05). The GO and KEGG enrichment analysis showed that the selected DEGs may mediate immune response, extracellular matrix, and immunoglobulin binding via neutrophil activation in HNSCC. Six of these DEGs, GIMAP6, SELL, TIFAB, KCNA3, P2RY8 and CCR4 were most significantly associated with OS (P < 0.001).
conclusionWe identified six tumor microenvironment-related genes that were significantly associated with poor prognosis in HNSCC. These genes may inspire researchers to discover new targets and approaches for HNSCC treatment.
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