Abstract
Osteosarcoma, a common malignant tumor in children, has emerged as a major threat to the life and health of pediatric patients. Presently, there are certain limitations in the diagnosis and treatment methods for this disease, resulting in inferior therapeutic outcomes. Therefore, it is of great importance to study its pathogenesis and explore innovative approaches to diagnosis and treatment. In this study, a non-negative matrix decomposition method was employed to conduct a comprehensive investigation and analysis of aggregated autophagy-related genes within 331,394 single-cell samples of osteosarcoma. Through this study, we have elucidated the intricate communication patterns among various cells within the tumor microenvironment. Based on the classification of aggregated autophagy-related genes, we are not only able to more accurately predict patients’ prognosis but also offer robust guidance for treatment strategies. The findings of this study hold promise for breakthroughs in the diagnosis and treatment of osteosarcoma, intervention of aggrephagy is expected to improve the survival rate and quality of life of osteosarcoma patients.
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Data availability
The datasets mentioned during the current study are available in the GEO database and TCGA database.
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Funding
This study was funded by the Science and Technology Projects of Chongqing Education Commission (KJQN202000427), the Natural Science Foundation of Chongqing (cstb2022nscq-msx0139), and the Future Medical Innovation Team of Chongqing Medical University (W0080).
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CC and JYS designed the study; JYS, NY, DMH, and HYD anlyzed data and prepared figures; JYS drafted the manuscript, and CC revised the manuscript.
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Jiang, Y., Ning, Y., Cheng, S. et al. Single-cell aggrephagy-related patterns facilitate tumor microenvironment intercellular communication, influencing osteosarcoma progression and prognosis. Apoptosis 29, 521–535 (2024). https://doi.org/10.1007/s10495-023-01922-5
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DOI: https://doi.org/10.1007/s10495-023-01922-5