重编程工程化自体 T 细胞以克服 Merkel 细胞癌患者的耐药性
Reprogramming engineered autologous T cells to overcome resistance in patients with Merkel cell carcinoma.
CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:Overcoming current challenges to T-cell receptor therapy via metabolic targeting to increase antitumor efficacy, durability, and tolerability.
Overcoming current challenges to T-cell receptor therapy via metabolic targeting to increase antitumor efficacy, durability, and tolerability.
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包括过继T细胞治疗在内的个体化免疫疗法在临床前和临床研究中均显示抗肿瘤潜力。将细胞治疗与靶向代谢干预结合,可能进一步提升疗效幅度和持久性。T细胞受体可识别肿瘤新抗原来源肽,从而对癌细胞产生强效且特异的应答,同时保护健康组织。然而,过继T细胞治疗仍面临抑制性肿瘤环境、转移细胞的适应性与存活以及肿瘤逃逸等挑战,均可作为增强T细胞受体工程化T细胞(TCR-T)治疗抗肿瘤潜力的干预靶点。本文探讨当前针对肿瘤微环境和细胞产品进行代谢重编程的策略,这些策略可能增强T细胞增殖、存活和抗肿瘤细胞毒性。此外,我们强调了可用于改善转移细胞植入、避免淋巴细胞清除预处理并尽量减少脱靶效应的潜在代谢通路和靶点。代谢信号需要精细平衡,我们阐明了针对不同肿瘤特征进行审慎、精准干预的必要性。深入理解免疫代谢、肿瘤耐药和T细胞信号之间的相互作用,可帮助改进现有治疗方案,并为潜在协同联合疗法开辟道路。
The antitumor potential of personalized immunotherapy, including adoptive T-cell therapy, has been shown in both preclinical and clinical studies. Combining cell therapy with targeted metabolic interventions can further enhance therapeutic outcomes in terms of magnitude and durability. The ability of a T cell receptor to recognize peptides derived from tumor neoantigens allows for a robust yet specific response against cancer cells while sparing healthy tissue.
However, there exist challenges to adoptive T cell therapy such as a suppressive tumor milieu, the fitness and survival of transferred cells, and tumor escape, all of which can be targeted to further enhance the antitumor potential of T cell receptor-engineered T cell (TCR-T) therapy.
Here, we explore current strategies involving metabolic reprogramming of both the tumor microenvironment and the cell product, which can lead to increased T cell proliferation, survival, and anti-tumor cytotoxicity.
In addition, we highlight potential metabolic pathways and targets which can be leveraged to improve engraftment of transferred cells and obviate the need for lymphodepletion, while minimizing off-target effects.
Metabolic signaling is delicately balanced, and we demonstrate the need for thoughtful and precise interventions that are tailored for the unique characteristics of each tumor. Through improved understanding of the interplay between immunometabolism, tumor resistance, and T cell signaling, we can improve current treatment regimens and open the door to potential synergistic combinations.
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