Stromal modifying CHST15 siRNA enhances antitumor effect synergistically with anti-PD-1 immune checkpoint antibody in murine pancreatic cancer

基质修饰性CHST15 siRNA与抗PD-1免疫检查点抗体在小鼠胰腺癌中协同增强抗肿瘤作用

阅读:2

Abstract

Tumor stromal remodeling is an obstacle for immune checkpoint inhibitors (ICI). A stroma modifying small interfering RNA (siRNA) to carbohydrate sulfotransferase 15 (CHST15) was recently shown to enhance tumor-infiltrating T cells, yet its impact on antitumor response of ICI remains unexplored. In mouse pancreatic cancer KPC and Pan02 subcutaneous syngeneic tumor models, mice were divided into 4 groups for treatment; (1) control, (2) CHST15 siRNA monotherapy, (3) anti-programmed death receptor 1 (PD-1) monotherapy, and (4) combination therapy with CHST15 siRNA and anti-PD-1 antibody. Mice were sacrificed after 2 week-treatments and anti-tumor effects were evaluated by immunohistochemistry for KPC and flow cytometry for Pan02 model, respectively. In the KPC model, combination treatment with intratumoral CHST15 siRNA (0.9-1.0 mg/kg) and systemic anti-PD-1 antibody (5 mg/kg) synergistically and robustly suppressed tumor growth with a significant increase of tumor-infiltrating CD4(+) and CD8(+) T cells compared to anti-PD-1 monotherapy. In the Pan02 model, combination treatment with CHST15 siRNA and anti-PD-1 showed anti-tumor effect with significant increases in % necrosis area of the tumor, and tumor-infiltrating T cells compared to the control. Notably, the combination therapy dramatically diminishes Ly6C(+)Ly6G(+) granulocytic myeloid-derived suppressor cells (MDSCs) compared to anti-PD-1 monotherapy. The present study demonstrated the robust synergy between systemic anti-PD-1 antibody and a single stroma modifying agent. Combination usage of intratumoral CHST15 siRNA would provide a novel therapeutic option to trigger the remarkable effect of ICI on this most hard-to-treat solid tumor.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。