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Model systems and unique biological features of high and low-grade colorectal cancer (CRC) revealed by xenografting 84 human CRC cell lines

GSE296173 Homo sapiens Expression profiling by high throughput sequencing 8 samples Submitted 2025/06/01 Platform GPL16791
Summary
Colorectal cancers (CRCs) present across a range of differentiation grades which impacts patient outcome and management, however the molecular features and drivers of differentiation status are not fully understood. To address this, 84 commonly used human CRC cell lines were grown as xenografts in mice, revealing models of low-grade (LG) and high-grade (HG) CRC. Transcriptional profiling revealed coordinate downregulation of multiple transcription factors involved in intestinal development and differentiation, markers of colonic lineage-specific differentiation, and effectors of normal functions of the colonic epithelium. Mechanistically, multiple genes suppressed in HG tumours harbored promoter methylation, indicative of stable epigenetic silencing. Strikingly, markers of LGR5+ colon stem cells were suppressed in HG tumours, while markers of cell proliferation, fetal-like intestinal stem cells, and non-canonical cell types including mesenchymal cells were increased. These changes manifested in HG cell line displaying increased proliferation, migration and metastatic capacity. Importantly, CRC cell line-derived transcriptional profiles of differentiation grade were reflected in LG and HG patient-derived tumour organoids and primary CRCs, revealing cell lines accurately model differentiation grade. The models and tumour differentiation-related properties identified herein may inform new approaches for tailored CRC treatments based on tumour grade.
Published in
Model systems and unique biological features of high and low-grade colorectal cancer (CRC) revealed by xenografting 84 human CRC cell lines
Luk IY, Mooi JK, Mouradov D et al. · Communications biology 2025 · PMID 40473896 · doi:10.1038/s42003-025-08251-0
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Also filed as BioProject PRJNA1258086 and SRA study SRP582905. Searching any of these in the dataset finder brings you back here.

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