1. Multiparameter imaging reveals clinically relevant cancer cell-stroma interaction dynamics in head and neck cancer.
- Author
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Punovuori K, Bertillot F, Miroshnikova YA, Binner MI, Myllymäki SM, Follain G, Kruse K, Routila J, Huusko T, Pellinen T, Hagström J, Kedei N, Ventelä S, Mäkitie A, Ivaska J, and Wickström SA
- Subjects
- Humans, Cell Line, Tumor, Squamous Cell Carcinoma of Head and Neck metabolism, Squamous Cell Carcinoma of Head and Neck pathology, Tumor Microenvironment, Animals, Cell Communication, Mice, Single-Cell Analysis, Female, Male, Phenotype, Epithelial-Mesenchymal Transition, Head and Neck Neoplasms pathology, Head and Neck Neoplasms metabolism, Stromal Cells metabolism, Stromal Cells pathology
- Abstract
Epithelial tumors are characterized by abundant inter- and intra-tumor heterogeneity, which complicates diagnostics and treatment. The contribution of cancer-stroma interactions to this heterogeneity is poorly understood. Here, we report a paradigm to quantify phenotypic diversity in head and neck squamous cell carcinoma (HNSCC) with single-cell resolution. By combining cell-state markers with morphological features, we identify phenotypic signatures that correlate with clinical features, including metastasis and recurrence. Integration of tumor and stromal signatures reveals that partial epithelial-mesenchymal transition (pEMT) renders disease outcome highly sensitive to stromal composition, generating a strong prognostic and predictive signature. Spatial transcriptomics and subsequent analyses of cancer spheroid dynamics identify the cancer-associated fibroblast-pEMT axis as a nexus for intercompartmental signaling that reprograms pEMT cells into an invasive phenotype. Taken together, we establish a paradigm to identify clinically relevant tumor phenotypes and discover a cell-state-dependent interplay between stromal and epithelial compartments that drives cancer aggression., Competing Interests: Declaration of interests K.P., F.B., Y.A.M., and S.A.W. are listed as inventors on a patent application related to this work, filed through the technology transfer office of the University of Helsinki, with UoH being the patent applicant., (Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.)
- Published
- 2024
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