Pan-cancer N-glycoproteomic atlas of patient-derived xenografts uncovers FAT2 as an actionable surface target.

阅读:2
作者:Govindarajan Meinusha, Mejia-Guerrero Salvador, Chafe Shawn C, Khan Shahbaz, Shi Wei, Waas Matthew, Rossotti Martin A, Khoo Amanda, Liu Lydia Y, Ignatchenko Vladimir, Principe Simona, Sepiashvili Lusia, Hussack Greg, Tatari Nazanin, Venugopal Chitra, Miletic Petar, Topley Maxwell, Grewal Shan, McKenna Dillon, Asselstine Lucas C, Sandi Maria-Jose, Pham Nhu-An, Casey Alison, Kim Hyeyeon, Karamboulas Christina, Meens Jalna, Bergqvist Peter, Silva Begonia, Chan Patrick, Cerna-Portillo Liza, Chin Jasmine, Rao-Bhatia Abilasha, Tsao Ming-Sound, Khokha Rama, Su Susie, Xu Wei, Goldstein David, Ailles Laurie, Stambolic Vuk, Liu Fei-Fei, Cummins Emma, Samudio Ismael, Singh Sheila K, Kislinger Thomas
Cell surface proteins offer significant cancer therapeutic potential attributable to their accessible membrane localization and central roles in cellular signaling, yet their promise remains largely untapped due to technical challenges inherent to profiling them. Here, we employ N-glycoproteomics to analyze 85 patient-derived xenografts (PDXs), constructing Glyco PDXplorer-an in vivo pan-cancer atlas of cancer-derived surface proteins. We develop a target discovery pipeline to prioritize proteins with favorable expression profiles for immunotherapeutic targeting and validate FAT2 as a squamous-cancer-enriched surface protein minimally detected in normal tissue. Functional studies reveal that FAT2 is essential for head and neck squamous cancer (HNSC) cell growth and adhesion through regulation of surface architecture and integrin-PI3K signaling. Chimeric antigen receptor (CAR)-T cells targeting FAT2 demonstrate anti-tumor activity. This work lays the foundation for developing FAT2-targeted therapies and represents a pivotal platform to inform therapeutic target discovery across cancers.

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。