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IFN信号的子集预测了黑色素瘤患者对免疫检查点阻塞的反应

Brooke Horowitch^1,2,3, Daniel Y Lee^1,2,3,4, Min Ding^1,2,3

¹Department of Internal Medicine (Oncology), Yale Cancer Center and Yale School of Medicine, New Haven, Connecticut.

Clinical cancer research : an official journal of the American Association for Cancer Research

|May 26, 2023

概括

STAT1水平预测黑色素瘤对免疫检查点抑制剂 (ICI) 的反应. 较高的STAT1和联合的STAT1/PD-L1生物标志物表明更好的结果,为IFN驱动的耐药性提供了新的见解.

科学领域:

在瘤学瘤学.
免疫学免疫学免疫学
分子生物学分子生物学

背景情况:

瘤微环境中的干扰素 (IFN) 信号极大地影响癌症的反应和对免疫检查点抑制剂 (ICI) 的抵抗.
独特的IFN信号发送模式可能与ICI治疗的黑色素瘤患者的临床结果相关.

研究的目的:

研究IFN信号模式,特别是STAT1和PD-L1表达,与转移性黑色素瘤中ICI的临床反应之间的关联.
识别潜在的生物标志物,以预测治疗反应和理解耐药性机制.

主要方法:

追溯分析97例转移性黑色素瘤患者样本,使用多重复合免疫光检测STAT1,pSTAT1Y701和PD-L1.1.
使用自动化定量分析对蛋白质信号进行量化,并通过RECIST.评估治疗反应.
在体外研究中,使用IFNγ和IFNβ刺激的人类黑色素瘤细胞系,其次是西式涂抹.

主要成果:

与ICI不响应者相比,在响应者中观察到更高的治疗前STAT1水平.
在发现和验证队列中,增加的STAT1水平与改善的整体存活率相关.
综合分析显示,STAT1高PD-L1低瘤与比STAT1低PD-L1高瘤更好的生存率有关.

结论:

STAT1表达可能比目前的方法更有效地预测黑色素瘤对ICI的反应.
结合STAT1和PD-L1生物标志物可以提供对IFN响应和IFN耐药瘤状态的见解.

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