Patient‐Derived Organoid and Single‐Cell Multiomics Reveal Evolution Driven by CEACAM6 / KRT19 ‐Mediated Heterogeneity

Colorectal cancer (CRC) remains a leading cause of cancer mortality globally, with therapeutic efficacy hindered by tumor heterogeneity and drug resistance. While organoid technology offers unprecedented opportunities to model tumor complexity, systematic platforms for chemo-targeted combination screening and molecular mechanisms underlying chemoresistance remain underexplored in Chinese populations. Here, we established a biobank of 17 patient-derived CRC organoids (85% success rate) from treatment-naïve surgical specimens, preserving histopathological fidelity and molecular diversity of parental tumors. High-throughput drug screening across eight clinical regimens revealed different responses. To dissect chemoresistance mechanisms, six organoids representing extreme phenotypes (three sensitive and three resistant, based on IC50 difference for irinotecan + raltitrexed) were selected from this cohort for single-cell transcriptomic analysis. Single-cell transcriptomics of irinotecan + raltitrexed-treated organoids identified chemoresistance-associated clonal expansion of epithelial subpopulations (cluster_0), characterized by overexpression of REG4/TFF1/TFF3 and epithelial keratins (KRT19/KRT8/KRT18). Intercellular network analysis revealed intra-epithelial communication as a resistance hub, mediated by 32 ligand-receptor pairs. Integration with TCGA-COAD cohort (n = 378) demonstrated intratumoral heterogeneity (ITH) score as an independent prognostic determinant, outperforming stemness/angiogenesis metrics. Machine learning consensus identified CEACAM6 and KRT19 as dual regulators of mortality and ITH through epithelial plasticity networks. Our multi-omics framework establishes organoid-guided chemoresistance mechanisms while proposing ITH quantification targeting as precision strategies. This study bridges critical gaps in CRC therapeutic personalization, offering clinically actionable insights for overcoming treatment failure.

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Journal
The FASEB Journal
Published
2026-08-20
DOI
https://doi.org/10.1096/fj.202600610r
Primary Topic
Cancer Cells and Metastasis
Type
article
Field-Weighted Citation Impact
0.00

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article

Patient‐Derived Organoid and Single‐Cell Multiomics Reveal Evolution Driven by CEACAM6 / KRT19 ‐Mediated Heterogeneity

Changwen Jing, Haixia Cao, Rong Ma, Yuchun Huang et al.
The FASEB Journal
Cancer Cells and Metastasis
article

Patient‐Derived Organoid and Single‐Cell Multiomics Reveal Evolution Driven by CEACAM6 / KRT19 ‐Mediated Heterogeneity

Changwen Jing, Haixia Cao, Rong Ma, Yuchun Huang, Zhuo Wang, Yuan Zhang, Yuetong Yu, Bingzhe Li
article en

Abstract

Colorectal cancer (CRC) remains a leading cause of cancer mortality globally, with therapeutic efficacy hindered by tumor heterogeneity and drug resistance. While organoid technology offers unprecedented opportunities to model tumor complexity, systematic platforms for chemo-targeted combination screening and molecular mechanisms underlying chemoresistance remain underexplored in Chinese populations. Here, we established a biobank of 17 patient-derived CRC organoids (85% success rate) from treatment-naïve surgical specimens, preserving histopathological fidelity and molecular diversity of parental tumors. High-throughput drug screening across eight clinical regimens revealed different responses. To dissect chemoresistance mechanisms, six organoids representing extreme phenotypes (three sensitive and three resistant, based on IC50 difference for irinotecan + raltitrexed) were selected from this cohort for single-cell transcriptomic analysis. Single-cell transcriptomics of irinotecan + raltitrexed-treated organoids identified chemoresistance-associated clonal expansion of epithelial subpopulations (cluster_0), characterized by overexpression of REG4/TFF1/TFF3 and epithelial keratins (KRT19/KRT8/KRT18). Intercellular network analysis revealed intra-epithelial communication as a resistance hub, mediated by 32 ligand-receptor pairs. Integration with TCGA-COAD cohort (n = 378) demonstrated intratumoral heterogeneity (ITH) score as an independent prognostic determinant, outperforming stemness/angiogenesis metrics. Machine learning consensus identified CEACAM6 and KRT19 as dual regulators of mortality and ITH through epithelial plasticity networks. Our multi-omics framework establishes organoid-guided chemoresistance mechanisms while proposing ITH quantification targeting as precision strategies. This study bridges critical gaps in CRC therapeutic personalization, offering clinically actionable insights for overcoming treatment failure.

The FASEB JournalVol. 40(16)
Jiangsu Cancer Hospital (CN), Yangzhou University (CN), Nanjing Medical University (CN)
National Natural Science Foundation of China, Jiangsu Provincial Key Research and Development Program, Wu Jieping Medical Foundation
Good health and well-being
Openalex Percentile: Top 13%
Cancer Cells and Metastasis
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