bioRxivCancer BiologyPreprint
Chemotherapy induces myeloid-driven spatial T-cell exhaustion in ovarian cancer
I.-M. P. Launonen, E. P. Erkan, I. Niemiec, A. Junquera, M. Hincapie-Otero, D. Afenteva, Z. Liang, M. Salko, A. Szabo, F. Perez-Villatoro, M. M. Falco, Y. Li, G. Micoli, A. Nagaraj, U.-M. Haltia, E. Kahelin, J. Oikkonen, J. Hynninen, A. Virtanen, A. J. Nirmal, T. Vallius, S. Hautaniemi, P. K. Sorger, A. Vaharautio, A. Farkkila
Abstract
To uncover the intricate, chemotherapy-induced spatiotemporal remodeling of the tumor microenvironment, we conducted integrative spatial and molecular characterization of 97 high-grade serous ovarian cancer (HGSC) samples collected before and after chemotherapy. Using single-cell and spatial analyses, we identify increasingly versatile immune cell states, which form spatiotemporally dynamic microcommunities at the tumor-stroma interface. We demonstrate that chemotherapy triggers spatial redistribution and exhaustion of CD8+ T cells due to prolonged antigen presentation by macrophages, both within interconnected myeloid networks termed "Myelonets" and at the tumor stroma interface. Single-cell and spatial transcriptomics identifies prominent TIGIT-NECTIN2 ligand-receptor interactions induced by chemotherapy. Using a functional patient-derived immuno-oncology platform, we show that CD8+T-cell activity can be boosted by combining immune checkpoint blockade with chemotherapy. Our discovery of chemotherapy-induced myeloid-driven spatial T-cell exhaustion paves the way for novel immunotherapeutic strategies to unleash CD8+ T-cell-mediated anti-tumor immunity in HGSC.
- organism: human
- assay: scRNA-seq
- assay: spatial transcriptomics
- research focus: cell-cell communication
- research focus: differential expression
- research focus: drug response / drug discovery
- approach: deep learning
- approach: statistical model
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