• Xianglin Peng and Wanchun Wang.
• Department of Orthopaedics, The Second People's Hospital of Huaihua, Huaihua, China.
• J Coll Physicians Surg Pak. 2024 Nov 1; 34 (11): 131513211315-1321.

ObjectiveTo construct and validate a prognostic model for osteosarcoma prognostication and therapeutic potential of PANoptosis- related genes.Study DesignObservational study. Place and Duration of the Study: Department of Orthopaedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China, from August 2021 to January 2024.MethodologyTranscriptomic data from the GEO and TARGET databases were utilised to construct and validate a prognostic model for osteosarcoma. The analysis involved the use of the LASSO Cox-regression method with the Glmnet R package to identify key PANoptosis-related genes. Differential gene expression analysis was conducted using the Limma R package, and model validation was performed using Kaplan-Meier survival analysis and time-dependent ROC curves.ResultsThis model, derived from five key PANoptosis-related genes, demonstrated significant predictive capability for patient survival across training and validation cohorts. Further analysis confirmed the model's effectiveness and identified metastasis stage and risk scores as the robust independent prognostic indicators.ConclusionThe prognostic model offers a novel tool for osteosarcoma prognostication and underscores the therapeutic potential of targeting PANoptosis-related pathways.Key WordsPANoptosis-related genes, Osteosarcoma, Prognosis, Bioinformatics, Tumour micro-environment.

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