Machine learning identifies disulfidptosis-related gene signature for pancreatic cancer prognosis and immune infiltration
Abstract Background Pancreatic cancer (PC) is a leading cause of cancer-related mortality due to late diagnosis and limited treatments. Disulfidptosis, a novel form of regulated cell death, is implicated in disease pathogenesis. This study explores disulfidptosis-related gene (DRG) signatures to ide...
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| 主要な著者: | , , , , , , , , , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Springer
2026-01-01
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| シリーズ: | Discover Oncology |
| 主題: | |
| オンライン･アクセス: | https://doi.org/10.1007/s12672-026-04463-w |
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