Identification of Prognostic Genes in Gliomas Based on Increased Microenvironment Stiffness
Abstract
:Simple Summary
Abstract
1. Introduction
2. Materials and Methods
2.1. Identification of Stiffness-Dependent Genes
2.2. TCGA Glioma Datasets
2.3. Functional Enrichment Analysis
2.4. Survival Analysis
2.5. CGGA Validation Datasets
2.6. GSE16011 Validation Datasets
2.7. Multivariate Cox Regression
3. Results
3.1. Identification of Stiffness-Dependent Genes from 3D-Printed Glioma Models
3.2. Enrichment Analysis of Stiffness-Dependent Genes
3.3. Differential Expression of Stiffness-Dependent Genes in TCGA Glioma Datasets
3.4. Survival Analysis of Stiffness-Dependent Genes
3.5. Validation Using the CGGA Database
3.6. Validation of the Four-Gene Signature in Independent Cohorts
4. Discussion
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Chen, C.-R.; Chang, R.-S.; Chen, C.-S. Identification of Prognostic Genes in Gliomas Based on Increased Microenvironment Stiffness. Cancers 2022, 14, 3659. https://doi.org/10.3390/cancers14153659
Chen C-R, Chang R-S, Chen C-S. Identification of Prognostic Genes in Gliomas Based on Increased Microenvironment Stiffness. Cancers. 2022; 14(15):3659. https://doi.org/10.3390/cancers14153659
Chicago/Turabian StyleChen, Chaang-Ray, Rong-Shing Chang, and Chi-Shuo Chen. 2022. "Identification of Prognostic Genes in Gliomas Based on Increased Microenvironment Stiffness" Cancers 14, no. 15: 3659. https://doi.org/10.3390/cancers14153659