LBPO.ET02 · 实验与分子治疗 · Late-Breaking

以CTC/cfDNA生物标志物为指导的精准医学克服肝细胞癌免疫检查点抑制剂耐药

CTC/cfDNA biomarker-guided precision medicine to overcome immune checkpoint inhibitor resistance in hepatocellular carcinoma

编号 LB182 展板 4 时间 4/20 02:00–05:00 区域 Section 53 主讲 Keigo Machida, PhD
分会场 Late-Breaking Research: Experimental and Molecular Therapeutics 2
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作者与单位 Authors & Affiliations

Yang Cui1, Alexandria Borges1, Meng Li2, Linda Sher1, Bangyan Stiles3, Dan G. Duda4, Anthony El-Khoueiry5, Keigo Machida1

1University of Southern California Keck School of Medicine, Los Angeles, CA,2University of Southern California Norris Medical Library, Los Angeles, CA,3University of Southern California School of Pharmacy, Los Angeles, CA,4Houston Methodist Academic Institute, Houston, TX,5Keck School of Medicine of USC, Los Angeles, CA

摘要 Abstract

中文摘要
背景/目的:免疫检查点抑制剂(ICs)已改善晚期肝细胞癌(HCC)的生存结局,但大多数HCC患者会出现治疗耐药。因此,我们旨在对HCC患者进行分层,以靶向治疗耐药的TICs,并通过干性mRNA谱分析识别应答者。我们的第二个目的是评估新型CTC特征,以预测对标准抗VEGFA+抗PD-L1抗体免疫治疗联合癌症驱动基因靶向化疗的疗效。 方法:采用全基因组CRISPR-Cas9敲除(GeCKO)方法鉴定杀伤表达TP53、CTNNB1和ARID2的肿瘤所需的基因。为确认药物疗效,我们采用CRISPR/Cas9介导的驱动基因敲入和敲除,并结合酒精西式饮食喂养,以在携带ARID1A突变或TP53突变的人源化FNRG(Fah-/-;Nod;Rag1-/-;Il2rgc-/-)小鼠PDX模型中促进HCC发生。在遗传学明确的PDX及这些人源化FNRG小鼠中测试了与ICI配伍的药物用于HCC的治疗。 结果:在ARID1A突变型HCC中的GeCKO筛选显示,多梳抑制复合物2(PRC2)抑制剂、抗PD-L1和抗VEGFA的联合治疗可缩小具有人源化免疫系统的ARID1A突变型PDX小鼠的肿瘤体积并延长生存。这些方法中最成功的组合——针对ARID1A突变型HCC的抗EZH1/2抑制剂+抗PD-L1+抗VEGFA,或针对TP53突变型HCC的全反式维甲酸(ATRA)和HDAC抑制剂联合抗PD-L1——根除了在小鼠体内所生成肿瘤离体培养的人患者来源肝TICs。对患者HCC的单细胞RNA-seq分析鉴定出16个具有统计学显著性的上调基因特征。主成分分析清晰地区分了巴塞罗那临床肝癌(BCLC)分期类别A(良性)与B(恶性)。酒精西式饮食相关的TLR4-AKT信号导致PRC2复合物中EZH2的磷酸化,使其从组蛋白抑制活性转为转录激活。对PRC2组分的最有效靶向消除了在小鼠体内离体培养的人患者来源肝TICs。 结论:我们这一创新方法运用精准医学识别最可能对靶向TICs及癌症驱动突变的特定药物组合产生应答的患者,将通过解决HCC治疗耐药的核心环节而革新癌症治疗。
查看英文原文 English abstract
Background/Aim: Immune checkpoint inhibitors (ICs) have improved survival outcomes in advanced hepatocellular carcinoma (HCC), but most HCC patients experience treatment resistance. Thus, we aimed to stratify HCC patients to target therapy-resistant TICs and identify responders through stemness mRNA profiling. Our second aim was to evaluate novel CTC signatures to predict treatment efficacy in response to standard anti-VEGFA+anti-PD-L1 antibody immunotherapy with cancer-driver-targeted chemotherapies. Methods: The Genome-wide CRISPR-Cas9 knockout (GeCKO) method was used to identify genes required for killing tumors expressing TP53, CTNNB1, and ARID2. To confirm the drug efficacy, we used CRISPR/Cas9-mediated driver gene knock-ins and knockouts combined with alcohol Western diet feeding to promote HCC development in a humanized FNRG ( Fah - / - ;Nod;Rag1 - / - ;Il2rgc - / - ) mouse harboring ARID1A mutation or TP53 mutation in a PDX Model. Drugs paired with ICI were tested for treatment of HCC in genetically defined PDX and these humanized FNRG mice. Results: The GeCKO screening in ARID1A-mutant HCC showed that a combination of a Polycomb repressive complex 2 (PRC2) inhibitor, anti-PD-L1, and anti-VEGFA treatment reduced tumor size and extended survival in ARID1A-mutant PDX mice with humanized immune systems. The most successful combination from these approaches, comprising anti-EZH1/2 inhibitor + anti-PD-L1 + anti-VEGFA for ARID1A mutant HCC or all-trans retinoic acid (ATRA) and an HDAC inhibitor, along with anti-PD-L1, for TP53 mutant HCC-eradicated human patient-derived liver TICs grown ex vivo from tumors generated in mice. Single-cell RNA-seq analyses of patient HCCs identified 16 upregulated gene signatures with statistical significance. Principal component analyses provide a clear separation between Barcelona Clinic Liver Cancer (BCLC) stage categories A (benign) and B (malignant). Alcohol Western diet-associated TLR4-AKT signal leads to EZH2 phosphorylation of PRC2 complex to switch from histone suppressive activity to transactivation. The most effective targeting of PRC2 components, which eliminated human patient-derived liver TICs grown ex vivo in mice. Conclusions: Our innovative approach, using precision medicine to identify patients most likely to respond to specific drug combinations targeting TICs and cancer-driver mutations, will revolutionize cancer treatment by addressing a core component of therapeutic resistance in HCC.
利益披露 Disclosure
Y. Cui, None.. A. Borges, None.. M. Li, None.. L. Sher, None.. B. Stiles, None.. D. G. Duda, None.. A. El-Khoueiry, None.. K. Machida, None.

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