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癌症免疫学数据引擎揭示分泌型AOAH作为一种潜在的免疫疗法。

Cancer immunology data engine reveals secreted AOAH as a potential immunotherapy.

作者信息

Gong Lanqi, Luo Jie, Yang Emily, Ru Beibei, Qi Ziyang, Yang Yuma, Rani Anshu, Purohit Abhilasha, Zhang Yu, Guan Grace, Paul Rohit, Vu Trang, Chen Zuojia, Ji Renyue, Day Chi-Ping, Wu Chuan, Merlino Glenn, Fitzgerald David, Altan-Bonnet Grégoire, Aldape Kenneth, Wu Jiansheng, Guan Xinyuan, Jiang Peng

机构信息

Cancer Data Science Lab, Center for Cancer Research (CCR), National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, MD 20892, USA.

Department of Clinical Oncology, The University of Hong Kong (HKU), Hong Kong, China.

出版信息

Cell. 2025 Sep 4;188(18):5062-5080.e32. doi: 10.1016/j.cell.2025.07.004. Epub 2025 Jul 28.

Abstract

Secreted proteins are central mediators of intercellular communications and can serve as therapeutic targets in diverse diseases. The ∼1,903 human genes encoding secreted proteins are difficult to study through common genetic approaches. To address this hurdle and, more generally, to discover cancer therapeutics, we developed the Cancer Immunology Data Engine (CIDE, https://cide.ccr.cancer.gov), which incorporates 90 omics datasets spanning 8,575 tumor profiles with immunotherapy outcomes from 17 solid tumor types. CIDE systematically identifies all genes associated with immunotherapy outcomes. Then, we focused on secreted proteins prioritized by CIDE without known cancer roles and validated regulatory effects on immune checkpoint blockade for AOAH, CR1L, COLQ, and ADAMTS7 in mouse models. The top hit, acyloxyacyl hydrolase (AOAH), potentiates immunotherapies in multiple tumor models by sensitizing T cell receptors to weak antigens and protecting dendritic cells through depleting immunosuppressive arachidonoyl phosphatidylcholines and oxidized derivatives.

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