The Single-Cell and Spatial Transcriptomics Atlas of Epithelial-Fibroblast Interactions in Colorectal Cancer.
[BACKGROUND] Colorectal cancer (CRC) exhibits extensive cellular heterogeneity and complex tumor microenvironment (TME) interactions, which influence tumor progression and treatment response.
APA
Wu S, Zhang G, et al. (2026). The Single-Cell and Spatial Transcriptomics Atlas of Epithelial-Fibroblast Interactions in Colorectal Cancer.. Digestive diseases and sciences. https://doi.org/10.1007/s10620-026-09923-5
MLA
Wu S, et al.. "The Single-Cell and Spatial Transcriptomics Atlas of Epithelial-Fibroblast Interactions in Colorectal Cancer.." Digestive diseases and sciences, 2026.
PMID
42045762
Abstract
[BACKGROUND] Colorectal cancer (CRC) exhibits extensive cellular heterogeneity and complex tumor microenvironment (TME) interactions, which influence tumor progression and treatment response. However, the precise interplay between epithelial cells and cancer-associated fibroblasts and its prognostic relevance remain incompletely understood.
[METHODS] We performed single-cell RNA sequencing on CRC and matched normal tissues, integrating the data with spatial transcriptomics. Cellular heterogeneity, developmental trajectories, and intercellular communication were analyzed to identify key epithelial and fibroblast subpopulations.
[RESULTS] Nine epithelial and nine fibroblast subpopulations were identified, with FGGY + epithelial cells and COL11A1 + fibroblasts markedly enriched in tumors. Intercellular communication analysis revealed a tumor-specific epithelial-CAF axis mediated by PPIA-BSG signaling, accompanied by strong spatial co-localization. Trajectory and copy number variation (CNV) analyses indicated progenitor-like PLK1 + epithelial cells contribute to tumor plasticity. The FGCS score, derived from six genes from these two subsets, stratified patients by stage and survival, acting as an independent prognostic factor.
[CONCLUSION] This study provides a comprehensive, high-resolution view of CRC cellular and microenvironmental organization, revealing how epithelial-fibroblast interactions shape tumor progression and spatial niches, offering insights into CRC biology and potential therapeutic targets.
[METHODS] We performed single-cell RNA sequencing on CRC and matched normal tissues, integrating the data with spatial transcriptomics. Cellular heterogeneity, developmental trajectories, and intercellular communication were analyzed to identify key epithelial and fibroblast subpopulations.
[RESULTS] Nine epithelial and nine fibroblast subpopulations were identified, with FGGY + epithelial cells and COL11A1 + fibroblasts markedly enriched in tumors. Intercellular communication analysis revealed a tumor-specific epithelial-CAF axis mediated by PPIA-BSG signaling, accompanied by strong spatial co-localization. Trajectory and copy number variation (CNV) analyses indicated progenitor-like PLK1 + epithelial cells contribute to tumor plasticity. The FGCS score, derived from six genes from these two subsets, stratified patients by stage and survival, acting as an independent prognostic factor.
[CONCLUSION] This study provides a comprehensive, high-resolution view of CRC cellular and microenvironmental organization, revealing how epithelial-fibroblast interactions shape tumor progression and spatial niches, offering insights into CRC biology and potential therapeutic targets.
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