工程化益生菌用于肿瘤靶向联合化学免疫治疗
Engineered probiotics for tumor-targeted combination chemoimmunotherapy.
CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:Target receptor expression dictates the selective intra-tumoral targeting of CD8(+) T cells by eciskafusp alfa in matched PBMCs and TILs from CPI-naïve patients.
Target receptor expression dictates the selective intra-tumoral targeting of CD8(+) T cells by eciskafusp alfa in matched PBMCs and TILs from CPI-naïve patients.
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这些发现为 PD1-IL2v 的作用机制提供了转化验证,表明其可选择性刺激瘤内免疫,同时尽量减少调节性 T 细胞激活。
本研究对来自7种实体瘤患者的配对外周血单个核细胞(PBMC)和TIL(肿瘤浸润淋巴细胞)进行全面离体表征,分析PD1-IL2v的靶向细胞谱。
我们证实,TIL区室中干样CD8⁺ T细胞和免疫抑制性调节性T细胞(Treg)均显著富集。值得注意的是,与PBMC相比,CD8⁺ TIL表面PD-1受体密度最高增加至3倍,为优先靶向肿瘤内细胞提供了依据。离体实验显示,PD1-IL2v优先靶向CD8⁺ TIL亚群(干样和效应细胞),而非Treg。该选择性靶向带来更强生物学活性:与Treg相比,PD1-IL2v在干样和效应CD8⁺ T细胞中诱导更高的STAT5磷酸化(STAT5-P),证实其预期的顺式靶向及增强IL-2受体激动作用。 讨论:这些发现从转化角度验证了PD1-IL2v的作用机制,显示其可选择性刺激肿瘤内免疫,同时最大限度减少Treg活化。该表征确定PD-1受体密度及细胞亚群比例是影响药物活性的关键因素,也可能作为预测患者应答和指导患者选择的有用生物标志物。
This study provides a comprehensive ex-vivo characterization of PD1-IL2v's target landscape using matched peripheral blood mononuclear cells (PBMCs) and tumor-infiltrating lymphocytes (TILs) from patients across seven solid tumor indications.
We confirmed that the TIL compartment is significantly enriched with both stem-like CD8 + T cells and immunosuppressive regulatory T cells (Tregs). Notably, PD-1 receptor density was increased up to three-fold on CD8 + TILs compared to PBMCs, establishing the basis for preferential intra-tumoral targeting. Ex-vivo assays demonstrated that PD1-IL2v preferentially targets CD8 + TIL subsets (stem-like and effector) over Tregs. This preferential targeting translated into superior biological activity, with PD1-IL2v inducing higher STAT5 phosphorylation (STAT5-P) in stem-like and effector CD8 + T cells compared to Tregs, confirming the intended cis -targeting and enhanced IL-2R agonism. DISCUSSION: These findings provide translational validation for PD1-IL2v's mechanism, demonstrating selective intra-tumoral immune stimulation while minimizing Treg activation. This characterization identifies PD-1 receptor density and subset prevalence as critical factors for drug activity and represents potentially useful biomarkers for predicting patient responsiveness and guiding patient selection.
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