γδ T 细胞调节小细胞肺癌中的抗肿瘤免疫
γδ T cells modulate anti-tumor immunity in small cell lung cancer.
CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:Modeling tumor relapse using proliferation tracing and ablation transgenic mouse.
Modeling tumor relapse using proliferation tracing and ablation transgenic mouse.
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肿瘤复发仍然是成功治疗的一个重大障碍。迫切需要能够准确反映患者肿瘤复发的临床前动物模型。在此,我们采用双重组酶介导的遗传系统,在多瘤病毒中T抗原(PyMT)诱导的自发性小鼠乳腺癌模型中,对增殖细胞进行遗传示踪和消融。该系统能够在确定的时间窗口内急性消融已发生增殖的细胞,导致肿瘤急剧缩小,随后由于残留的低增殖细胞而逐渐复发。我们随后应用单细胞RNA测序(scRNA-seq),无偏倚地比较原发性和复发性PyMT肿瘤的生态系统。与原发性肿瘤相比,复发性肿瘤表现出更高比例的癌症干细胞以及促肿瘤γδ T细胞,同时在多个髓系细胞群中共表达Spp1和Vegfa——这些特征预示人乳腺癌患者治疗反应差和预后不良。总体而言,这一增殖示踪与消融模型模拟了优先消除增殖性癌细胞的化疗,可作为在复发性肿瘤中测试新型治疗策略的有力工具和宝贵资源。
Tumor relapse remains a significant obstacle to successful therapy. Preclinical animal models that accurately reflect tumor relapse in patients are urgently needed.
Here, we employed a dual recombinase-mediated genetic system to genetically trace and ablate proliferating cells in a polyomavirus middle T antigen (PyMT)-induced spontaneous murine breast cancer model. This system enabled the acute ablation of cells that had undergone proliferation within a defined time window, resulting in a drastic tumor shrinkage, followed by a gradual tumor relapse due to the presence of residual low-cycling cells.
We then applied single-cell RNA sequencing (scRNA-seq) to unbiasedly compare the tumor ecosystems of the primary and relapsed PyMT tumors. Compared with the primary tumors, the relapsed tumors exhibited a higher proportion of cancer stem cells and pro-tumor γδ T cells, as well as co-expression of Spp1 and Vegfa in multiple myeloid cell populations - features that predict poor therapeutic response and unfavorable outcomes in human breast cancer patients.
Collectively, this proliferation tracing and ablation model emulates chemotherapies that preferentially eliminate proliferating cancer cells, serving as a robust tool and a valuable resource for testing novel therapeutic strategies in relapsed tumors.
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