bioRxiv · 10.1101/2023.06.28.546848
Therapy-associated remodeling of pancreatic cancer revealed by single-cell spatial transcriptomics and optimal transport analysis
Abstract
In combination with cell intrinsic properties, interactions in the tumor microenvironment modulate therapeutic response. We leveraged high-plex single-cell spatial transcriptomics to dissect the remodeling of multicellular neighborhoods and cell-cell interactions in human pancreatic cancer associated with specific malignant subtypes and neoadjuvant chemotherapy/radiotherapy. We developed Spatially Constrained Optimal Transport Interaction Analysis (SCOTIA), an optimal transport model with a cost function that includes both spatial distance and ligand-receptor gene expression. Our results uncovered a marked change in ligand-receptor interactions between cancer-associated fibroblasts and malignant cells in response to treatment, which was supported by orthogonal datasets, including an ex vivo tumoroid co-culture system. Overall, this study demonstrates that characterization of the tumor microenvironment using high-plex single-cell spatial transcriptomics allows for identification of molecular interactions that may play a role in the emergence of chemoresistance and establishes a translational spatial biology paradigm that can be broadly applied to other malignancies, diseases, and treatments.
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Shiau, C., Cao, J., Gregory, M. T., Gong, D., Yin, X., Cho, J.-W., Wang, P. L., Su, J., Wang, S., Reeves, J. W., Kim, T. K., Kim, Y., Guo, J. A., Lester, N. A., Schurman, N., Barth, J. L., Weissleder, R., Jacks, T., Qadan, M., Hong, T. S., Wo, J. Y., Roberts, H., Beechem, J. M., Fernandez-del Castillo, C., Mino-Kenudson, M., Ting, D. T., Hemberg, M., Hwang, W. L.. 2023-06-29. Therapy-associated remodeling of pancreatic cancer revealed by single-cell spatial transcriptomics and optimal transport analysis. https://doi.org/10.1101/2023.06.28.546848
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