1. Bioinformatics Identification and Validation of Aging‑Related Molecular Subtype and Prognostic Signature in Sarcoma.
- Author
-
Hong, Xu, Liu, Hui, Chen, Chu, Lai, Tian, and Lin, Jingui
- Subjects
- *
RESEARCH methodology , *RNA , *BIOINFORMATICS , *CELLULAR aging , *AGING , *RESEARCH funding , *MOLECULAR structure , *CLUSTER analysis (Statistics) , *SARCOMA , *OVERALL survival , *PROPORTIONAL hazards models , *IMMUNOTHERAPY - Abstract
Aging could regulate many biological processes in malignancies by regulating cell senescence. Consensus cluster analysis was conducted to differentiate TCGA sarcoma cases. LASSO cox regression analysis was performed to construct an aging-related prognostic signature. We identified two categories of TCGA-sarcoma with significant difference in prognosis, immune infiltration and chemotherapy and targeted therapy. Moreover, an aging-related prognostic signature was constructed for sarcoma, which had a good performance in predicting the 3-year and 5-year overall survival of sarcoma patients. We also identified a lncRNA MALAT1/miR-508-3p/CCNA2 regulatory axis for sarcoma. This stratification could provide more evidence for estimating prognosis and immunotherapy of sarcoma. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF