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Updated: Jul 23, 2025

Predictive Immune Modeling of Solid Tumors
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利用大数据的生存信息来统一风险分层相关的适应性免疫受体参数,用于多发性骨髓瘤

Hope J Wolmarans1, Vayda R Barker1, Andrea Chobrutskiy2

  • 1Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, 33612, USA.

Genes and immunity
|July 13, 2023
PubMed
概括

这项研究确定了特定免疫受体 (CDR3) 和癌症丸抗原 (CTA) 与多发性骨髓瘤患者的生存相关的关系. 结果表明T细胞受体相互作用的约束,但T细胞受体α相互作用的灵活性,突出IGSF11作为潜在的抗原.

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