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通过工程化 PGC-1α 进行代谢重编程可改善针对实体瘤的人嵌合抗原受体 T 细胞疗法。

Metabolic reprogramming via an engineered PGC-1α improves human chimeric antigen receptor T-cell therapy against solid tumors.

机构信息

Tumor Microenvironment Center, Department of Immunology, UPMC Hillman Cancer Center and University of Pittsburgh, Pittsburgh, PA, USA.

Tsinghua University School of Medicine, Beijing, China.

出版信息

J Immunother Cancer. 2023 Mar;11(3). doi: 10.1136/jitc-2022-006522.


DOI:10.1136/jitc-2022-006522
PMID:36914208
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10016249/
Abstract

BACKGROUND: Cellular immunotherapies for cancer represent a means by which a patient's immune system can be augmented with high numbers of tumor-specific T cells. Chimeric antigen receptor (CAR) therapy involves genetic engineering to 'redirect' peripheral T cells to tumor targets, showing remarkable potency in blood cancers. However, due to several resistance mechanisms, CAR-T cell therapies remain ineffective in solid tumors. We and others have shown the tumor microenvironment harbors a distinct metabolic landscape that produces a barrier to immune cell function. Further, altered differentiation of T cells within tumors induces defects in mitochondrial biogenesis, resulting in severe cell-intrinsic metabolic deficiencies. While we and others have shown murine T cell receptor (TCR)-transgenic cells can be improved through enhanced mitochondrial biogenesis, we sought to determine whether human CAR-T cells could be enabled through a metabolic reprogramming approach. MATERIALS AND METHODS: Anti-EGFR CAR-T cells were infused in NSG mice which bore A549 tumors. The tumor infiltrating lymphocytes were analyzed for exhaustion and metabolic deficiencies. Lentiviruses carrying PPAR-gamma coactivator 1α (PGC-1α), PGC-1α and NT-PGC-1α constructs were used to co-transduce T cells with anti-EGFR CAR lentiviruses. We performed metabolic analysis via flow cytometry and Seahorse analysis in vitro as well as RNA sequencing. Finally, we treated therapeutically A549-carrying NSG mice with either PGC-1α or NT-PGC-1α anti-EGFR CAR-T cells. We also analyzed the differences in the tumor-infiltrating CAR-T cells when PGC-1α is co-expressed. RESULTS: Here, in this study, we show that an inhibition resistant, engineered version of PGC-1α, can metabolically reprogram human CAR-T cells. Transcriptomic profiling of PGC-1α-transduced CAR-T cells showed this approach effectively induced mitochondrial biogenesis, but also upregulated programs associated with effector functions. Treatment of immunodeficient animals bearing human solid tumors with these cells resulted in substantially improved in vivo efficacy. In contrast, a truncated version of PGC-1α, NT-PGC-1α, did not improve the in vivo outcomes. CONCLUSIONS: Our data further support a role for metabolic reprogramming in immunomodulatory treatments and highlight the utility of genes like PGC-1α as attractive candidates to include in cargo along with chimeric receptors or TCRs for cell therapy of solid tumors.

摘要

背景:癌症的细胞免疫疗法代表了一种增强患者免疫系统的方法,即用大量肿瘤特异性 T 细胞进行增强。嵌合抗原受体(CAR)疗法涉及基因工程,将“重定向”外周 T 细胞到肿瘤靶标,在血液癌症中显示出显著的效力。然而,由于几种耐药机制,CAR-T 细胞疗法在实体瘤中仍然无效。我们和其他人已经表明,肿瘤微环境具有独特的代谢景观,产生了免疫细胞功能的障碍。此外,肿瘤内 T 细胞的分化改变导致线粒体生物发生缺陷,从而导致严重的细胞内在代谢缺陷。虽然我们和其他人已经表明,鼠 TCR-转基因细胞可以通过增强线粒体生物发生得到改善,但我们试图确定是否可以通过代谢重编程方法使人类 CAR-T 细胞能够实现。

材料和方法:将抗 EGFR CAR-T 细胞输注到携带 A549 肿瘤的 NSG 小鼠中。分析肿瘤浸润淋巴细胞的衰竭和代谢缺陷。携带过氧化物酶体增殖物激活受体-γ共激活因子 1α(PGC-1α)、PGC-1α 和 NT-PGC-1α 构建体的慢病毒用于与抗 EGFR CAR 慢病毒共转导 T 细胞。我们通过流式细胞术和 Seahorse 分析进行体外代谢分析,以及 RNA 测序。最后,我们用 PGC-1α 或 NT-PGC-1α 抗 EGFR CAR-T 细胞治疗携带 A549 的 NSG 小鼠。我们还分析了 PGC-1α 共表达时肿瘤浸润 CAR-T 细胞的差异。

结果:在这里,在这项研究中,我们表明一种抑制耐药的、工程化的 PGC-1α 版本可以代谢重编程人类 CAR-T 细胞。PGC-1α 转导的 CAR-T 细胞的转录组分析表明,这种方法有效地诱导了线粒体生物发生,但也上调了与效应功能相关的程序。用这些细胞治疗携带人类实体瘤的免疫缺陷动物导致体内疗效显著提高。相比之下,PGC-1α 的截断形式 NT-PGC-1α 并没有改善体内结果。

结论:我们的数据进一步支持代谢重编程在免疫调节治疗中的作用,并强调像 PGC-1α 这样的基因作为有吸引力的候选物的效用,与嵌合受体或 TCR 一起用于实体瘤的细胞治疗。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b7c/10016249/27dde0b820c0/jitc-2022-006522f04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b7c/10016249/47fbf4315633/jitc-2022-006522f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b7c/10016249/586a50240f87/jitc-2022-006522f02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b7c/10016249/e03e332bee48/jitc-2022-006522f03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b7c/10016249/27dde0b820c0/jitc-2022-006522f04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b7c/10016249/47fbf4315633/jitc-2022-006522f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b7c/10016249/586a50240f87/jitc-2022-006522f02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b7c/10016249/e03e332bee48/jitc-2022-006522f03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b7c/10016249/27dde0b820c0/jitc-2022-006522f04.jpg

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