利用增殖追踪和消融转基因小鼠模拟肿瘤复发。

IF 7.6 2区 医学 Q1 ONCOLOGY
Chuang Zhao, Xin-Nan Zheng, Han-Ying Huang, Lin Tian
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引用次数: 0

摘要

肿瘤复发仍然是成功治疗的一大障碍。迫切需要能够准确反映患者肿瘤复发的临床前动物模型。在这里,我们采用双重组酶介导的遗传系统对多瘤病毒中T抗原(PyMT)诱导的自发性小鼠乳腺癌模型中的增殖细胞进行遗传追踪和消融。该系统能够在规定的时间内对增殖的细胞进行急性消融,导致肿瘤急剧缩小,随后由于残余低周期细胞的存在,肿瘤逐渐复发。然后,我们应用单细胞RNA测序(scRNA-seq)来无偏地比较原发性和复发性PyMT肿瘤的肿瘤生态系统。与原发肿瘤相比,复发肿瘤显示出更高比例的癌症干细胞和促肿瘤γδ T细胞,以及多髓细胞群中Spp1和Vegfa的共表达-这些特征预示着人类乳腺癌患者治疗反应差和预后不良。总的来说,这种增殖追踪和消融模型模拟了优先消除增殖癌细胞的化疗,作为一种强大的工具和有价值的资源,用于测试复发肿瘤的新治疗策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling tumor relapse using proliferation tracing and ablation transgenic mouse.

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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来源期刊
NPJ Breast Cancer
NPJ Breast Cancer Medicine-Pharmacology (medical)
CiteScore
10.10
自引率
1.70%
发文量
122
审稿时长
9 weeks
期刊介绍: npj Breast Cancer publishes original research articles, reviews, brief correspondence, meeting reports, editorial summaries and hypothesis generating observations which could be unexplained or preliminary findings from experiments, novel ideas, or the framing of new questions that need to be solved. Featured topics of the journal include imaging, immunotherapy, molecular classification of disease, mechanism-based therapies largely targeting signal transduction pathways, carcinogenesis including hereditary susceptibility and molecular epidemiology, survivorship issues including long-term toxicities of treatment and secondary neoplasm occurrence, the biophysics of cancer, mechanisms of metastasis and their perturbation, and studies of the tumor microenvironment.
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