免疫检查点阻断通过扩增效应 CD8⁺ T 细胞克隆增强淋巴细胞清除性化疗诱导的抗肿瘤免疫
Immune Checkpoint Blockade Augments Lymphodepleting Chemotherapy-Induced Antitumor Immunity by Expanding Effector CD8+ T-cell Clones.
CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:Tumor-reactive T cell clonotype dynamics underlying clinical response to TIL therapy in melanoma.
Tumor-reactive T cell clonotype dynamics underlying clinical response to TIL therapy in melanoma.
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采用体外扩增TIL(肿瘤浸润淋巴细胞)的过继性细胞治疗(ACT)临床反应不一。为更好理解决定治疗成功的因素,研究者对黑色素瘤患者基线肿瘤、ACT产品及ACT后血液和肿瘤样本中的TIL克隆型进行追踪,使用单细胞RNA和T细胞受体(TCR)测序分析。临床应答患者的基线肿瘤富含肿瘤反应性TIL;这些细胞在体外扩增时更易被动员,使细胞产品中富集肿瘤特异性CD8阳性细胞,并在ACT后优先浸润肿瘤。相反,临床无应答与肿瘤缺乏肿瘤反应性驻留克隆型相关;其细胞产品主要由血源性克隆型构成,这些克隆型ACT后持续存在于血液而未进入肿瘤。扩增后,肿瘤特异性TIL失去了包括耗竭状态在内的肿瘤相关转录特征;应答者的TIL在植入肿瘤后呈现中间型耗竭效应状态,提示其功能得到重新激活。本研究揭示与TIL-ACT临床应答相关的肿瘤特异性克隆型特征及动态变化,并为优化治疗提供依据。
Adoptive cell therapy (ACT) using in vitro expanded tumor-infiltrating lymphocytes (TILs) has inconsistent clinical responses. To better understand determinants of therapeutic success, we tracked TIL clonotypes from baseline tumors to ACT products and post-ACT blood and tumor samples in melanoma patients using single-cell RNA and T cell receptor (TCR) sequencing. Patients with clinical responses had baseline tumors enriched in tumor-reactive TILs, and these were more effectively mobilized upon in vitro expansion, yielding products enriched in tumor-specific CD8 + cells that preferentially infiltrated tumors post-ACT.
Conversely, lack of clinical responses was associated with tumors devoid of tumor-reactive resident clonotypes and with cell products mostly composed of blood-borne clonotypes that persisted in blood but not in tumors post-ACT. Upon expansion, tumor-specific TILs lost tumor-associated transcriptional signatures, including exhaustion, and responders exhibited an intermediate exhausted effector state after TIL engraftment in the tumor, suggesting functional reinvigoration.
Our findings provide insight into the nature and dynamics of tumor-specific clonotypes associated with clinical response to TIL-ACT, with implications for treatment optimization.
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