Gene Expression Clustering and Selected Head and Neck Cancer Gene Signatures Highlight Risk Probability Differences in Oral Premalignant Lesions
Abstract
:1. Introduction
2. Materials and Methods
2.1. OPL Dataset
2.2. Gene Expression-Based Molecular Subtyping
2.3. Gene Set Enrichment Analysis (GSEA) Functional Analysis
2.4. Tumor Microenvironment Analysis
2.5. Prognostic Signatures
2.6. Variance Partition Analysis
2.7. Bioinformatics Analysis and Data Visualization
3. Results
3.1. Six Molecular Subtypes
3.2. Progression Analysis of Disease
3.3. Functional Analysis and Tumor Microenvironment Composition
3.4. Prognostic Value of Oral Cavity Signatures
3.5. Variance Partition Analysis
4. Discussion
Supplementary Materials
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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Carenzo, A.; Serafini, M.S.; Roca, E.; Paderno, A.; Mattavelli, D.; Romani, C.; Saintigny, P.; Koljenović, S.; Licitra, L.; De Cecco, L.; et al. Gene Expression Clustering and Selected Head and Neck Cancer Gene Signatures Highlight Risk Probability Differences in Oral Premalignant Lesions. Cells 2020, 9, 1828. https://doi.org/10.3390/cells9081828
Carenzo A, Serafini MS, Roca E, Paderno A, Mattavelli D, Romani C, Saintigny P, Koljenović S, Licitra L, De Cecco L, et al. Gene Expression Clustering and Selected Head and Neck Cancer Gene Signatures Highlight Risk Probability Differences in Oral Premalignant Lesions. Cells. 2020; 9(8):1828. https://doi.org/10.3390/cells9081828
Chicago/Turabian StyleCarenzo, Andrea, Mara S. Serafini, Elisa Roca, Alberto Paderno, Davide Mattavelli, Chiara Romani, Pierre Saintigny, Senada Koljenović, Lisa Licitra, Loris De Cecco, and et al. 2020. "Gene Expression Clustering and Selected Head and Neck Cancer Gene Signatures Highlight Risk Probability Differences in Oral Premalignant Lesions" Cells 9, no. 8: 1828. https://doi.org/10.3390/cells9081828