Exploring the heterogeneity of osteosarcoma cell characteristics and metabolic states and their association with clinical prognosis
Sen Qin, YaoFeng Hu, RuCui Deng, Zhe Wang · 2024
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Description
Sen Qin and three co-authors wrote this 2024 study mapping the variety inside osteosarcoma, a vicious bone cancer of the young. Survival rates have barely moved in decades, so the hunt is on for the mechanisms that drive it and for new targets. The team combined single-cell gene sequencing with bulk tumor data and metabolic pathway analysis.
Single-cell data split the tumors into twenty-one cell subpopulations, each running its metabolism differently. One bone-forming subgroup split further into six, with differing growth programs. Network analysis found core genes tied to the hottest metabolic pathways. From patient data they built a risk score that predicted survival robustly across three separate cohorts, and high- and low-risk groups differed in immune infiltration and drug sensitivity. The authors present the model as a step toward matching osteosarcoma patients to treatments by their tumor's inner profile.
Catalog record
| CREATOR | Sen Qin, YaoFeng Hu, RuCui Deng, Zhe Wang |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 51 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |