ArticleFrontiers in oncology2021
A Focal Adhesion-Related Gene Signature Predicts Prognosis in Glioma and Correlates With Radiation Response and Immune Microenvironment.
Article in Frontiers in oncology, 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.
- Boron-embedded multifunctional nanoplatform toward potential combined boron neutron capture therapy and immunomodulation in glioma.Smart molecules : open access · 2026Article
- The oncogenic role of CCDC34 in lower-grade gliomas: prognostic significance and therapeutic potential.Journal of neuro-oncology · 2025Article
- Mutational accumulation drives pathway dysregulation to predict glioma patient survival.Scientific reports · 2025Article
- Molecular mechanism and biological pathway of high-expressed RAD51 in regulating cell adhesion and potentially affecting oral squamous cell carcinoma.Discover oncology · 2025Article
- Integrative Disulfidptosis-Based Risk Assessment for Prognostic Stratification and Immune Profiling in Glioma.Journal of cellular and molecular medicine · 2025Article
- Establishing and Validating an Innovative Focal Adhesion-Linked Gene Signature for Enhanced Prognostic Assessment in Endometrial Cancer.Reproductive sciences (Thousand Oaks, Calif.) · 2024Article
- Correlation of tumor-associated macrophage infiltration in glioblastoma with magnetic resonance imaging characteristics: a retrospective cross-sectional study.Quantitative imaging in medicine and surgery · 2023Article
- The basement membrane-related gene signature is associated with immunity and predicts survival accurately in hepatocellular carcinoma.Journal of cancer research and clinical oncology · 2023Article
- The genes significantly associated with an improved prognosis and long-term survival of glioblastoma.PloS one · 2023Article
- A predictive model of immune infiltration and prognosis of head and neck squamous cell carcinoma based on cell adhesion-related genes: including molecular biological validation.Frontiers in immunology · 2023Article
- Prognostic Features of the Tumor Immune Microenvironment in Glioma and Their Clinical Applications: Analysis of Multiple Cohorts.Frontiers in immunology · 2022Article
- DUSP10 upregulation is a poor prognosticator and promotes cell proliferation and migration in glioma.Frontiers in oncology · 2022Article
- Construction and validation of an angiogenesis-related gene expression signature associated with clinical outcome and tumor immune microenvironment in glioma.Frontiers in genetics · 2022Article
- PD-L2 Serves as a Potential Prognostic Biomarker That Correlates With Immune Infiltration and May Predict Therapeutic Sensitivity in Lower-Grade Gliomas.Frontiers in oncology · 2022Article
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10 authors.
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Abstract
backgroundGlioma is the most frequent brain malignancy presenting very poor prognosis and high recurrence rate. Focal adhesion complexes play pivotal roles in cell migration and act as hubs of several signaling pathways.
methodsWe used bioinformatic databases (CGGA, TCGA, and GEO) and identified a focal adhesion-related differential gene expression (FADG) signature by uniCox and LASSO regression analysis. We calculated the risk score of every patient using the regression coefficient value and expression of each gene. Survival analysis, receiver operating characteristic curve (ROC), principal component analysis (PCA), and stratified analysis were used to validate the FADG signature. Then, we conducted GSEA to identify the signaling pathways related to the FADG signature. Correlation analysis of risk scores between the immune checkpoint was performed. In addition, the correlation of risk scores and genes related with DNA repair was performed. CIBERSORT and ssGSEA were used to explore the tumor microenvironment (TME). A nomogram that involved our FADG signature was also constructed.
resultsIn total, 1,726 (528 patients diagnosed with WHO II, 591 WHO III, and 603 WHO IV) cases and 23 normal samples were included in our study. We identified 29 prognosis-related genes in the LASSO analysis and constructed an eight FADG signature. The results from the survival analysis, stratified analysis, ROC curve, and univariate and multivariate regression analysis revealed that the prognosis of the high-risk group was significantly worse than the low-risk group. Correlation analysis between risk score and genes that related with DNA repair showed that the risk score was positively related with
conclusionThe FADG signature we constructed could provide a sensitive prognostic model for patients with glioma and contribute to improve immunotherapy management guidelines.
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