Scholay

学术搜索 · AI 审稿 · LaTeX 协作

Spatial proteo-transcriptomic profiling reveals the molecular landscape of borderline ovarian tumors and their invasive progression

作者:L. Schweizer, Hilary A Kenny, Rahul Krishnan, Lucy Kelliher, A. Bilecz, Janna Heide, Leonhard Donle, Aasa Shimizu, A. Metousis, Rachelle Mendoza, Thierry M. Nordmann, Sarah Rauch, S. Richter, Yan Li, Florian A. Rosenberger, M. Strauss, K. Kurnit, Marvin Thielert, Edwin H. Rodriguez, J. Müller-Reif, S. Yamada, Fabian J. Theis, A. Mund, Ricardo R. Lastra, Matthias Mann, E. Lengyel · 发表于:Cancer Cell · 年份:2025 · DOI:10.1016/j.ccell.2025.06.004 · 被引用次数:13 · 研究领域:Medicine

Summary Epithelial serous borderline tumors (SBT) are non-invasive neoplastic ovarian lesions that may recur as chemo-resistant low-grade serous cancer (LGSC). While genetic alterations suggest a common origin, the transition from SBT to LGSC remains poorly understood. Here, we integrate cell-type resolved spatial proteomics and transcriptomics to elucidate the evolution from SBT to LGSC and its corresponding metastases in both stroma and tumor. The transition occurs within the epithelial compartment through an intermediary stage with micropapillary features, during which LGSC overexpresses c-Met and several brain-specific proteins. Within the tumor microenvironment, interconnectivity between cancer and stromal cells, along with enzymes degrading a packed extracellular matrix, suggests functional collaboration among various cell types. We functionally validated 16 drug targets identified through integrated spatial transcriptomics and proteomics. Combined treatment targeting CDK4/6 (Milciclib) and FOLR1 (Mirvetuximab) achieved significant tumor reduction in vivo, representing a promising therapeutic strategy for LGSC.