Abstract 3975: Spatially resolved multi-omics reveal metastatic ecosystem remodeling and immunomodulatory niches in HGSOC

作者：Yufeng He, Ce Luo, Yuanguang Meng, Zheng Zhang, Zexian Zeng · 发表于：Cancer Research · 年份：2026 · DOI：10.1158/1538-7445.am2026-3975 · 研究领域：Single-cell and spatial transcriptomics、Ferroptosis and cancer prognosis、Immune cells in cancer

Abstract High-grade serous ovarian carcinoma (HGSOC) is the most lethal gynecologic malignancy. HGSOC spreads within peritoneal cavity via transcoelomic dissemination, and the greater omentum is a frequent site of metastatic tumor deposition. Embedded beneath the omental mesothelium, the fat-associated lymphoid clusters (FALCs, known as milky spots) serve as portals for early peritoneal metastasis. Yet how metastatic ecosystems differ from the primary tumor microenvironment, and are spatially organized around FALCs remains unclear. To address this, we profiled matched primary and metastatic tumor samples from 17 HGSOC patients using single-cell RNA sequencing with paired TCR/BCR profiling and spatial multi-omics including Visium HD spatial transcriptomics, multiplex CODEX imaging and spatial metabolomics. In FALC-rich regions within metastatic lesions, we identify a stereotyped architecture in which small aggregates of B cells and plasma cells are interlaced with CD4+ and CD8+ T cells and dendritic cells. Stromal regions between these FALCs and adjacent tumor border are highly infiltrated by SPP1+C1Q+ macrophages. We show that the B cells in metastasis mainly consist of IgG+ and IgA+ populations, and are class-switched and clonally expanded. Integrating spatial transcriptomics with histology, we found the abundance of the niche enriched for IgA+ B cells associates with worse overall survival using a deep learning framework. Spatial metabolomics mapped spatial metabolic niches...