The BCL-2 inhibitor APG-2575 resets tumor-associated macrophages toward the M1 phenotype, promoting a favorable response to anti-PD-1 therapy via NLRP3 activation.
Fan LuoHan LiWenjuan MaJiaxin CaoQun ChenFeiteng LuMiaozhen QiuPenghui ZhouZengfei XiaKangmei ZengJianhua ZhanTing ZhouQiuyun LuoWentao PanLin ZhangChaozhuo LinYan HuangLi ZhangDajun YangHongyun ZhaoPublished in: Cellular & molecular immunology (2023)
The main challenges in the use of immune checkpoint inhibitors (ICIs) are ascribed to the immunosuppressive tumor microenvironment and the lack of sufficient infiltration of activated CD8+ T cells. Transforming the tumor microenvironment (TME) from "cold" to "hot" and thus more likely to potentiate the effects of ICIs is a promising strategy for cancer treatment. We found that the selective BCL-2 inhibitor APG-2575 can enhance the antitumor efficacy of anti-PD-1 therapy in syngeneic and humanized CD34+ mouse models. Using single-cell RNA sequencing, we found that APG-2575 polarized M2-like immunosuppressive macrophages toward the M1-like immunostimulatory phenotype with increased CCL5 and CXCL10 secretion, restoring T-cell function and promoting a favorable immunotherapy response. Mechanistically, we demonstrated that APG-2575 directly binds to NF-κB p65 to activate NLRP3 signaling, thereby mediating macrophage repolarization and the activation of proinflammatory caspases and subsequently increasing CCL5 and CXCL10 chemokine production. As a result, APG-2575-induced macrophage repolarization could remodel the tumor immune microenvironment, thus improving tumor immunosuppression and further enhancing antitumor T-cell immunity. Multiplex immunohistochemistry confirmed that patients with better immunotherapeutic efficacy had higher CD86, p-NF-κB p65 and NLRP3 levels, accompanied by lower CD206 expression on macrophages. Collectively, these data provide evidence that further study on APG-2575 in combination with immunotherapy for tumor treatment is required.
Keyphrases
- single cell
- signaling pathway
- high throughput
- adipose tissue
- liver injury
- stem cells
- mouse model
- drug induced
- lps induced
- poor prognosis
- nuclear factor
- nk cells
- oxidative stress
- rna seq
- liver fibrosis
- high glucose
- electronic health record
- inflammatory response
- bone marrow
- machine learning
- endothelial cells
- data analysis
- cell therapy
- monoclonal antibody