合成活力诱导癌细胞对免疫检查点抑制剂的抗性
Mingyue Liu1, Qi Dong1, Bo Chen1
1Department of Systems Biology, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
British journal of cancer
|August 24, 2023
概括
合成活力 (SV) 基因对可以预测黑色素瘤中对免疫检查点抑制剂 (ICI) 的耐药性. 一种新的SV签名识别了具有较差ICI反应和较低免疫细胞透率的高风险患者,有助于治疗预测.
科学领域:
- 在瘤学瘤学.
- 免疫学 免疫学 免疫学
- 遗传学 遗传学 是一个
背景情况:
- 免疫检查点抑制剂 (ICI) 已经改变了癌症治疗,但面临着显著的患者耐药性.
- 基因之间的合成活力 (SV) 被认为是驱动这种抗性的机制.
- 预测ICI疗效仍然是治疗各种癌症,特别是黑色素瘤的关键挑战.
研究的目的:
- 建立一种合成活力 (SV) 签名,用于预测黑色素瘤中免疫检查点抑制剂 (ICI) 治疗的疗效.
- 确定与癌症预后和ICI耐药性相关的强大的SV基因对.
主要方法:
- 利用随机森林分类器根据14个特征预测SV基因对.
- 采用CRISPR/Cas9选器来优先确定SV基因对.
- 构建了一个六个SV对签名来预测黑色素瘤患者对ICI治疗的反应.
主要成果:
- 确定了1861个SV基因对,其中六个基因对组成了黑色素瘤中ICI耐药性的预测特征.
- 六个SV对签名有效地将黑色素瘤患者分为高风险和低风险组.
- 高风险患者对ICI治疗的反应较差,自然杀手细胞和CD8+T细胞的透减少.
结论:
- 一个14个特征的分类器准确地预测了与癌症相关的强大的SV基因对.
- 开发的六个SV对签名显示了预测免疫检查点抑制剂 (ICI) 耐药性的潜力.
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