为肝细胞癌武装 GPC3 CAR T 细胞:多少才足够,下一步是什么?
Armouring GPC3 CAR T cells for hepatocellular carcinoma: how much is enough and what comes next?
英文原题:Multiomics analysis of immune correlatives in hepatocellular carcinoma patients treated with tremelimumab plus durvalumab.
我们的研究为免疫治疗研究中免疫相关因素的深入分析提供了蓝图,并证明了Treg分布对HCC的重要性。试验注册号:NCT02821754和EudraCT标识符:2019-002767-98。
肝细胞癌(HCC)是癌症相关死亡的主要原因。tremelimumab联合durvalumab现已成为晚期HCC的标准治疗选择。
研究tremelimumab和durvalumab治疗的HCC患者的免疫反应。
我们治疗了28例HCC患者,采用durvalumab、tremelimumab和局部区域治疗。我们进行了高维多组学分析,包括全外显子组测序、单细胞RNA测序、通过索引共检测、流式细胞术以及患者血液和肿瘤样本的多重细胞因子/趋化因子分析,并整合这些数据以阐明免疫相关因素和应答机制。对携带同基因HCC的小鼠使用抗PD-L1加抗CTLA4治疗,以进行肝脏淋巴细胞、TIL(肿瘤浸润淋巴细胞)和外周血单个核细胞分析。
中位总生存期为19.2个月。肿瘤组织分析显示干扰素反应增强,在应答者中效果更强。基因集变异分析表明应答者中抗原呈递增强。空间分析显示,非应答者肿瘤中位于免疫细胞富集邻域的Treg数量更多,且ICOS和PD-1表达水平更高。相反,这些Treg富集邻域中的非应答者PD1+CD8+T细胞ICOS表达较低。细胞通讯分析表明,非应答者组织中Treg-CD8+T相互作用增强。外周血分析显示应答者中经典单核细胞增加,非应答者中Treg增加。Treg-CD8+T相互作用在临床前模型中得到证实。最后,对860个特征进行了来自全面分析的单患者计算分析,从而识别出包括Treg特征在内的多组学特征集。
BACKGROUND: Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality. The combination of tremelimumab and durvalumab is now a standard treatment option for advanced HCC. OBJECTIVE: To study immune responses in HCC patients treated with tremelimumab and durvalumab. DESIGN: We treated 28 HCC patients with durvalumab, tremelimumab and locoregional therapies. We performed a high-dimensional multiomics analysis including whole exome sequencing, single-cell RNA seq, CO-Detection by indEXing, flow cytometry and multiplex cytokine/chemokine analysis of patients' blood and tumour samples and integrated this data to elucidate immune correlatives and response mechanisms. Mice with syngeneic HCC were treated with anti-PD-L1 plus anti-CTLA4 for hepatic lymphocytes, tumour-infiltrating lymphocytes and peripheral blood mononuclear cell analysis. RESULTS: The median overall survival was 19.2 months. Tumour tissue analysis revealed enhanced interferon responses, with stronger effects in responders. Gene set variation analysis indicated enhanced antigen presentation in responders. Spatial analysis revealed that non-responder tumours had higher numbers of Tregs located in neighbourhoods enriched with immune cells and expressed higher levels of ICOS and PD-1. Conversely, non-responder PD1+CD8+T in these Treg-enriched neighbourhoods expressed lower ICOS. Cell-communication analysis demonstrated that Treg-CD8+T interaction was enhanced in non-responder tissue. Peripheral blood analysis showed increased classical monocytes in responders and Tregs in non-responders. Treg-CD8+T interaction was confirmed in preclinical models. Finally, single-patient computational analysis from the all-across analysis was performed on 860 features, which led to the identification of multiomics feature sets including Treg features. CONCLUSION: Our study provides a blueprint for in-depth analysis of immune correlates in immunotherapy studies and demonstrates the importance of Treg distribution in HCC. TRIAL REGISTRATION NUMBERS: NCT02821754 and the EudraCT identifier: 2019-002767-98.
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