Multiparameter imaging reveals clinically relevant cancer cell-stroma interaction dynamics in head and neck cancer
- PMID: 39471809
- DOI: 10.1016/j.cell.2024.09.046
Multiparameter imaging reveals clinically relevant cancer cell-stroma interaction dynamics in head and neck cancer
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.
Keywords: cancer; cancer biomarker; cancer stem cell; epithelial-to-mesenchyme-transition.
Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.
Conflict of interest statement
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.
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