PO.CL05.06 · 临床研究
T细胞重编程的时间动态与转移性肾细胞癌基于ICI的联合治疗的临床反应相关
Temporal dynamics of T cell reprogramming associate with clinical response to ICI-based combination therapy in metastatic renal cell carcinoma
作者与单位 Authors & Affiliations
摘要 Abstract
中文摘要
基于免疫检查点抑制剂(ICI)的治疗,包括双ICI(抗PD-1 + 抗CTLA4)以及抗PD-1联合酪氨酸激酶抑制(TKI),已改善了转移性肾细胞癌(mRCC)的预后。虽然基于肿瘤的反应免疫学决定因素已有探索,但外周血单个核细胞(PBMC)的预测性生物标志物/早期变化尚未得到研究。为理解一线ICI治疗反应与耐药的机制,我们前瞻性地收集了基线(T0,n = 20)以及多个治疗后时间点(T1-T3:T1 = 治疗开始后1-2周,n = 17;T2 = 接受减瘤性肾切除术患者的手术时间,n = 11;T3 = 疾病进展(PD)时,n = 7)的纵向PBMC,以及T0(n = 20)和T2(n = 9)的配对肿瘤样本。采用PBMC和肿瘤的scRNAseq和scTCRseq,结合单细胞空间转录组学(Xenium 5K,T0,n = 31;T2,n = 26),以界定PBMC和肿瘤内的动态免疫变化。在基线时,反应者(R)和非反应者(NR)的肿瘤内免疫环境或PBMC中发现的差异很少。仅基线肿瘤内CD56高表达NK细胞在R中显著更高,而没有PBMC免疫细胞亚群存在差异。CD8+耗竭T细胞的差异基因表达分析显示R中应激反应基因(如HSPA1A)和DUSP1磷酸酶上调。相比之下,在T1可见ICI引起的动态时间变化。特别是R中循环增殖性T细胞和NK细胞的比例显著增加,其细胞毒性(GZMB、PRF1)和效应标志物(CX3CR1、FGFBP2)上调。此外,对与ICI反应相关的多个CD8+ T细胞亚群的分析显示,R在T1时NF-κB和MAPK模块评分被激活。T2的肿瘤内scRNAseq分析显示,R的CD8+ T细胞耗竭相关基因(TOX、LAG3、CD38)较低,而AP1转录因子(TF)激活较高,包括JUN/FOS,而NR则积累了高水平BATF活性的终末耗竭CD8+ T细胞。这些发现表明JUN/FOS信号与R中的T细胞激活相关,而BATF驱动终末耗竭和NR。最后,肿瘤空间转录组学显示,在R的T2(而非T0或NR中),耗竭CD8+ T细胞的细胞邻域中显著富集C1QC肿瘤相关巨噬细胞(TAM)。C1QC巨噬细胞在ICI反应中的作用仍存争议。总之,这些数据表明在基线时R和NR之间(PBMC或肿瘤)区分度有限,但确定了R中早期(治疗后1-2周)的PBMC变化(增殖性T细胞增加)以及治疗后R肿瘤中空间组织化免疫轨迹的差异。PBMC中增殖性T细胞的增加可作为R的一个非常早期的生物标志物。
查看英文原文 English abstract
Immune checkpoint inhibitor (ICI) based therapy, including dual ICI (anti-PD-1 + anti-CTLA4) and anti-PD-1 plus tyrosine kinase inhibition (TKI), has improved outcomes for metastatic renal cell carcinoma (mRCC). While tumor-based immunologic determinants of response have been explored, predictive biomarkers/early changes in peripheral blood mononuclear cells (PBMCs), have not. To understand mechanisms of response and resistance to first line ICI-based therapy, we prospectively collected longitudinal PBMCs at baseline (T0, n = 20) and multiple post-treatment time points (T1-T3: T1 = 1-2 wks post treatment initiation, n = 17; T2 = time of surgery for patients undergoing cytoreductive nephrectomy, n = 11; T3 = at progressive disease (PD), n = 7), as well as paired tumor samples at T0 (n = 20) and T2 (n = 9). scRNAseq and scTCRseq of PBMCs and tumors were used together with single-cell spatial transcriptomics (Xenium 5K, T0, n = 31; T2, n = 26) to define dynamic PBMC and intratumoral immune changes. Few differences at baseline were found in the intratumoral immune contexture or PBMCs of R (responders) and NR (non-responders). Only baseline intratumoral CD56-high NK cells were significantly higher in R and no PBMC immune cell subsets were different. Differential gene expression analysis of CD8+ exhausted T cells showed upregulation of stress response genes (e.g. HSPA1A ) and the DUSP1 phosphatase in R. In contrast, there were dynamic temporal changes seen with ICI at T1. In particular a significant increase in the proportion of circulating proliferative T and NK cells in R, which had upregulation of cytotoxicity ( GZMB , PRF1 ) and effector markers ( CX3CR1 , FGFBP2 ). Furthermore, analysis of multiple CD8⁺ T cell subsets associated with ICI response demonstrated activation of NF-κB and MAPK module scores in R at T1. Intratumoral scRNAseq profiling at T2 revealed that CD8⁺ T cells from R had lower exhaustion related genes ( TOX , LAG3 , CD38 ) and higher AP1 transcription factor (TF) activation including JUN/FOS, whereas NR accumulated terminally exhausted CD8⁺ T cells with high level of BATF activity. These findings indicate that JUN/FOS signaling associates with T cell activation in R, while BATF drives terminal exhaustion and NR. Finally, tumor spatial transcriptomics demonstrated significant enrichment of C1QC tumor-associated macrophages (TAM) in the cellular neighborhoods of exhausted CD8+ T cells at T2 of R (but not T0 or in NR). The role of C1QC macrophages in ICI response remains debated. In total, these data demonstrate there is limited discrimination between R and NR at baseline (PBMCs or tumor) but identify early (1-2-week post-treatment) PBMC changes in R (increased proliferative T cells) as well as differences in spatially organized immune trajectories post-treatment tumors of R. The increase in proliferative T cells in PBMCs could serve as a very early biomarker of R.
利益披露 Disclosure
K. Hwang, None..
S. Kim, None.
W. Y. Kim,
Abbvie Stock.
Amgen Stock.
Apellis Stock.
Arvin's Stock.
BeOne Medicines Stock.
Bristol-Myers Squibb Stock.
Eli Lilly Stock.
Moderna Stock.
Novo Nordisk Stock.
Revolution Medicines Stock.
Tango Stock.
Viking Therapeutics Stock.
Verastem Stock.
M. Kang, None.