Bioinformatics Identification and Validation of Aging‑Related Molecular Subtype and Prognostic Signature in Sarcoma

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.

Keywords:

• Sarcoma
• aging
• prognostic signature
• ceRNA
• consensus clustering analysis

Author contributions

JG Lin made substantial contributions to the conception and design of the research. H Liu and C Chen conducted data acquisition, analysis and interpretation. X Hong and T Lai did data analysis. All authors drafted the manuscript and critically revised the manuscript for important intellectual content. X Hong was responsible for reviewing the manuscript. All authors read and approved the final manuscript to be published.

Declaration of interest

The authors report no conflicts of interest. The authors alone are responsible for the content and writing of the article.

Availability of data and materials

The analyzed data sets generated during the study are available from the corresponding author on reasonable request.

Additional information

Funding

This study was funded by Fujian Provincial Clinical Medical Research Center for First Aid and Rehabilitation in Orthopaedic Trauma [2020Y2014].