PO.TB03.02 · 肿瘤生物学

Inducible models of EMT reveal dynamic changes in the tumor-immune microenvironment

编号 4831 展板 5 时间 4/21 09:00–12:00 区域 Section 27 主讲 Breanna Demestichas, BA;BS
分会场 Epithelial-to-Mesenchymal Transition
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作者与单位

Breanna Demestichas1, Tanvi Visal2, Petra den Hollander1, Nick Kuburich1, Sendurai A. Mani1

1Brown University, Providence, RI,2The University of Texas MD Anderson Cancer Center, Hosuton, TX

摘要 Abstract

Epithelial-to-mesenchymal transition (EMT) drives tumor cell plasticity, stemness, and metastasis, yet the dynamic consequences of EMT activation on the tumor microenvironment remain poorly defined. Doxycycline-regulated EMT-inducible systems offer a powerful strategy to study reversible EMT programs with precise temporal control in both in vitro and in vivo settings. In this study, we developed doxycycline-inducible miR-200 and ZEB1 models in the D2A1 and EMT6 breast cancer cell lines to interrogate EMT regulation across diverse contexts. Doxycycline treatment produced robust EMT inhibition in miR-200 models and EMT activation in ZEB1 models, accompanied by expected morphological changes. In vivo, doxycycline-induced miR-200 expression suppressed EMT marker expression and reshaped the tumor immune microenvironment. Specifically, miR-200 induction increased intratumoral CD8⁺ T cells, reduced Arg1⁺ macrophages, and decreased platelet accumulation, as confirmed by immunohistochemistry. Cytokine profiling revealed shifts in inflammatory and immune-recruiting signals, and single-cell RNA sequencing showed enhanced MHC-I antigen presentation pathways and altered immune activation states upon EMT inhibition. Together, these results demonstrate that doxycycline-inducible EMT models faithfully recapitulate epithelial-mesenchymal plasticity and uncover key EMT-dependent changes in stemness and immune composition. Ongoing studies aim to define the mechanisms through which miR-200-mediated EMT suppression drives these immune shifts. These inducible systems provide a powerful framework for dissecting how EMT dynamics shape tumor-immune interactions and may offer insight into therapy responsiveness.
利益披露 Disclosure
B. Demestichas, None.. P. den Hollander, None.. N. Kuburich, None.. S. A. Mani, None.

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