A prognostic model based on nucleotide metabolism genes in osteosarcoma
Songli Ju, Lu Tao, Xuyan Li, Nijiao Huang, Xixian Ke · 2026
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Description
Songli Ju and co-authors build a prognostic model for bone cancer in a 2026 study. Osteosarcoma strikes mostly teens, and spread cases still fare poorly. The team built a risk score from seven genes tied to nucleotide metabolism, the chemistry that supplies DNA building blocks. Six learning algorithms helped shape the model.
High-risk patients lived shorter lives and showed more immune-suppressing gene activity. The score held up as an independent predictor beside standard factors. A chart built from it estimated one, three, and five year survival well. Drug response also split by risk group. Readers get a tool to guide chemo choices for young patients.
Catalog record
| CREATOR | Songli Ju, Lu Tao, Xuyan Li, Nijiao Huang, Xixian Ke |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 36 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |