ArticleFrontiers in cell and developmental biology2021
Identification of a Costimulatory Molecule Gene Signature to Predict Survival and Immunotherapy Response in Head and Neck Squamous Cell Carcinoma.
Article in Frontiers in cell and developmental biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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14 citing papers in PubMed, 30 citations in OpenAlex.
- ZBP1, an M1 Macrophage-Associated Biomarker Identified by Machine Learning, Suppresses Tumorigenesis and Predicts Immunotherapy Response in Head and Neck Squamous Cell Carcinoma.Journal of cellular and molecular medicine · 2025Article
- High expression of the cachexia-related protein Fn14 in esophageal squamous cell carcinoma correlates with poor chemotherapy response and anti-Fn14 therapy decreases chemotherapeutic resistance.British journal of cancer · 2025Article
- A prognostic model for head and neck squamous cell carcinoma based on radiotherapy sensitivity insights from nasopharyngeal carcinoma.Discover oncology · 2025Article
- Deciphering Circadian Rhythm-Related Molecular Subtypes in Breast Cancer and Establishing a Prognostic Prediction Model.BioMed research international · 2025Article
- Costimulatory molecule-related lncRNA model as a potential prognostic biomarker in non-small cell lung cancer.Cancer medicine · 2023Article
- LINC00941 Promotes Cell Malignant Behavior and Is One of Five Costimulatory Molecule-Related lncRNAs That Predict Prognosis in Renal Clear Cell Carcinoma.Medicina (Kaunas, Lithuania) · 2023Article
- Prognostic costimulatory molecule-related signature risk model correlates with immunotherapy response in colon cancer.Scientific reports · 2023Article
- Article
- Identification of a novel prognostic signature for HCC and analysis of costimulatory molecule-related lncRNA AC099850.3.Scientific reports · 2022Article
- Identification and validation a costimulatory molecule gene signature to predict the prognosis and immunotherapy response for hepatocellular carcinoma.Cancer cell international · 2022Article
- A novel diagnostic model for predicting immune microenvironment subclass based on costimulatory molecules in lung squamous carcinoma.Frontiers in genetics · 2022Article
- The role of costimulatory molecules in glioma biology and immune microenvironment.Frontiers in genetics · 2022Article
- Targeting fibroblast growth factor (FGF)-inducible 14 (Fn14) for tumor therapy.Frontiers in pharmacology · 2022Review
- Development of a Costimulatory Molecule Signature to Predict Prognosis, Immune Landscape, and Response to Immune Therapy for Hepatocellular Carcinoma.Disease markers · 2022Article
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHead and neck squamous cell carcinoma (HNSCC) is one of the most common malignancies worldwide. Checkpoint blockade immunotherapy has made tremendous progress in the treatment of a variety of cancers in recent years. Costimulatory molecules constitute the foundation of cancer immunotherapies and are deemed to be promising targets for cancer treatment. This study attempted to evaluate the potential value of costimulatory molecule genes (CMGs) in HNSCC. MATERIALS AND
methodsBased on The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) dataset, we identified the prognostic value of CMGs in HNSCC. Subsequently, CMGs-based signature (CMS) to predict overall survival of HNSCC patients was established and validated. The differences of downstream pathways, clinical outcomes, immune cell infiltration, and predictive immunotherapy responses between different CMS subgroups were investigated via bioinformatic algorithms. We also explored the biological functions of TNFRSF12A, one risk factor of CMS, by
resultsAmong CMGs, 22 genes were related to prognosis based on clinical survival time in HNSCC. Nine prognosis-related CMGs were selected to establish CMS. CMS was an independent risk factor and could indicate the survival of HNSCC patients, the component of tumor-infiltrating lymphocytes, and the immunotherapy response rate. Functional enrichment analysis confirmed that CMS might involve immune-relevant processes. Additionally, TNFRSF12A was related to poor prognosis and enhanced malignant phenotype of HNSCC.
conclusionCollectively, CMS could accurately indicate prognosis, evaluate the tumor immune microenvironment, and predict possible immunotherapy outcomes for HNSCC patients.
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