ArticleAging2023
A novel oxidative stress-related gene signature as an indicator of prognosis and immunotherapy responses in HNSCC.
Article in Aging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 12 citations in OpenAlex.
- SPARC family proteins: matricellular modulators of cancer progression and therapeutic resistance.Cancer gene therapy · 2026Review
- Article
- Development and experimental verification of a prognosis model for hypoxia- and lactate metabolism-associated genes in HNSCC.Medicine · 2025Article
- Identification of oxidative stress-related subgroups and signature genes for the prediction of prognosis and immune microenvironment in thyroid cancer.Molecular genetics and genomics : MGG · 2025Article
- E2F expression profiling-based subtypes in head and neck squamous cell carcinoma: clinical relevance, prognostic implications, and personalized therapy.World journal of surgical oncology · 2025Article
- Prognostic implications of alternative splicing events and key splicing factors in head and neck squamous cell carcinoma.Discover oncology · 2025Article
- Multi-omics in immunotherapy research for HNSCC: present situation and future perspectives.NPJ precision oncology · 2025Review
- Integrated Transcriptomic Analysis Provided Diagnostic and Pathophysiological Insights for Epilepsy.Journal of immunology research · 2025Article
- A novel mast cell marker gene-related prognostic signature to predict prognosis and reveal the immune landscape in head and neck squamous cell carcinoma.Frontiers in immunology · 2025Article
- A novel gene-based model for prognosis prediction of head and neck squamous cell carcinoma.Heliyon · 2024Article
Corrections and comments
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Authors and funding
14 authors at 9 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo identify molecular subtypes of oxidative stress-related genes in head and neck squamous cell carcinoma (HNSCC) and to construct a scoring model of oxidative stress-related genes.
methodsR language based scRNA-seq and bulk RNA-seq analyses were used to identify molecular isoforms of oxidative stress-related genes in HNSCC. An oxidative stress-related gene scoring (OSRS) model was constructed, which were verified through online data and immunohistochemical staining of clinical samples.
resultsUsing TCGA-HNSCC datasets, nine predictive genes for overall patient survival, rarely reported in previous similar studies, were screened. AREG and CES1 were identified as prognostic risk factors. CSTA, FDCSP, JCHAIN, IFFO2, PGLYRP4, SPOCK2 and SPINK6 were identified as prognostic factors. Collectively, all genes formed a prognostic risk signature model for oxidative stress in HNSCC, which were validated in GSE41613, GSE103322 and PRJEB23709 datasets. Immunohistochemical staining of SPINK6 in nasopharyngeal cancer samples validated the gene panel. Subsequent analysis indicated that subgroups of the oxidative stress prognostic signature played important roles during cellular communication, the immune microenvironment, the differential activation of transcription factors, oxidative stress and immunotherapeutic responses.
conclusionsThe risk model might predict HNSCC prognosis and immunotherapeutic responses.
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