Research Paper Volume 13, Issue 9 pp 13239—13263
Aging-related genes are potential prognostic biomarkers for patients with gliomas
- 1 Department of Neurosurgery, Xiangya Hospital, Central South University, Hunan, China
- 2 Department of Oncology, Xiangya Hospital, Central South University, Hunan, China
- 3 Department of Neurology, Hunan Aerospace Hospital, Changsha, Hunan, China
- 4 Department of Psychiatry, The Second People’s Hospital of Hunan Province, Hunan, China
- 5 The Hospital of Hunan University of Chinese Medicine, Hunan, China
- 6 National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Hunan, China
Received: November 30, 2020 Accepted: March 4, 2021 Published: May 4, 2021
https://doi.org/10.18632/aging.203008How to Cite
Abstract
Aging has a significant role in the proliferation and development of cancers. This study explored the expression profiles, prognostic value, and potential roles of aging-related genes in gliomas. We designed risk score and cluster models based on aging-related genes and glioma cases using LASSO Cox regression analysis, consensus clustering analysis and univariate cox regression analyses. High risk score was related to malignant clinical features and poor prognosis based on 10 datasets, 2953 cases altogether. Genetic alterations analysis revealed that high risk scores were associated with genomic aberrations of aging-related oncogenes. GSVA analysis exhibited the potential function of the aging-related genes. More immune cell infiltration was found in high-risk group cases, and glioma patients in high-risk group may be more responsive to immunotherapy. Knock-down of CTSC, an aging-related gene, can inhibit cell cycle progression, colony formation, cell proliferation and increase cell senescence in glioma cell lines in vitro. Indeed, high expression of CTSC was associated with poor prognosis in glioma cases. In conclusion, this study revealed that aging-related genes have prognostic potential for glioma patients and further identified potential mechanisms for aging-related genes in tumorigenesis and progression in gliomas.
Abbreviations
TCGA: the Cancer Genome Atlas; CGGA: the Chinese Glioma Genome Atlas; CNS: central nervous system; SCNAs: somatic copy number alternations; OS: Overall Survival; PFI: Progression Free Survival; DSS: Disease Free Survival; GBM: glioblastoma; LGG: Low-grade gliomas; PCA: Principal component analysis; PD: progressive disease; PR: partial response; SD: stable disease; CR: complete response.