Background: Programmed cell death (PCD) is a natural process in which cells undergo controlled self-destruction, which plays a crucial role in maintaining tissue homeostasis and eliminating damaged or unnecessary cells. The connection between PCD and osteosarcoma was explored in the present study.
Methods: Twelve types of PCD were collected for developing a prognostic signature in osteosarcoma using machine learning algorithms. The prognostic value, pathway annotation and drug prediction of the signature were explored.
Results: Telomerase reverse transcriptase (TERT) was found to be a potent hazardous marker in osteosarcoma and could facilitate the proliferation and migration of osteosarcoma.
Conclusions: In summary, the present study has developed a prognostic signature for osteosarcoma and identifies TERT as a potent hazardous gene. The study suggests that further research is needed to address the underlying mechanism of how TERT affects the immune response in osteosarcoma.
Keywords: bioinformatics; bone cancer; osteology.
© 2023 John Wiley & Sons Ltd.