StealTHY: An immunogen-free CRISPR platform to expose concealed metastasis regulators in immunocompetent models
Year: 2025
Type: article
Abstract: CRISPR screens have become standard gene discovery platforms in various contexts, including cancer. Yet commonly available CRISPR-Cas9 tools are increasingly recognized as unfit for in vivo investigations in immunocompetent contexts, due to broad immunogenicity of bacterial nucleases and reporters. Here, we show how conventional CRISPR screens in tumor grafts are systematically jeopardized by immunoediting in syngeneic and humanized immunocompetent hosts, resulting in iatrogenic clonal dropouts and ultimately compromising target identification. To resolve this, we present StealTHY, an immunogen-free CRISPR platform compatible with virtually all immunocompetent designs, enabling preservation of clonal architecture and exposing previously concealed cancer vulnerabilities. Among these, we identify the AMH-AMHR2 axis as a formerly unappreciated metastasis target. Thus, with StealTHY, we provide a new resource to expand the applicability of CRISPR screens to immunocompetent models, including humanized tumor grafts, revealing metastasis regulators of therapeutic relevance.
Source: Cell
Authors: Massimo Saini, Francesc Castro-Giner, Adriana Hotz, Magdalena K. Sznurkowska, Manuel Nüesch, François M. Cuenot, Selina Budinjas, Gilles Bilfeld, Ece Su Ildız, Karin Strittmatter, Ilona Krol, Zoi Diamantopoulou, Aino Paasinen-Sohns, Maria Waldmeier, Rafaela Cássio, Susanne Kreutzer, Zacharias Kontarakis, Ana Gvozdenovic, Nicola Aceto
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: hybrid
Estimated APC paid: $11,400
Funders: European Commission, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, Eidgenössische Technische Hochschule Zürich, Krebsliga Schweiz, Schweizerische Akademie der Medizinischen Wissenschaften, Swiss Cancer Research Foundation, Swiss Cancer Foundation, European Research Council, H2020 Future and Emerging Technologies
OpenAlex ID: W4416003931
