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Updated: Jan 8, 2026

3D Cell-Printed Hypoxic Cancer-on-a-Chip for Recapitulating Pathologic Progression of Solid Cancer
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一个细胞特异的计算框架揭示了泛癌缺氧特征,预测了整体生存率和ICI反应

Caiyu Zhang1, Yitong Jin2, Yifangfei Yu1

  • 1College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China.

The Journal of biological chemistry
|December 19, 2025
PubMed
概括

这项研究引入了与缺氧相关的转录基因签名 (HYP.SIG) 来分析跨癌症的瘤缺氧. HYP.SIG可以预测免疫治疗反应和患者的存活率,识别潜在的治疗点.

关键词:
缺氧 缺氧是指缺氧的情况.恶性细胞特异性的恶性细胞.胰腺癌是一种癌症.预测ICI反应的预测.一个单细胞RNA测序.生存预测 预测 生存预测

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