# Colorectal Cancer Organoid Model Reveals the Mechanisms of Irinotecan Resistance at Single‐Cell Resolution

**Authors:** Yi Pan, Lin Chen, Yuqing Hu, Jie Chang, Xifeng Xu, ShuoChen Xu, YiWen Li, Jinlin Du, JianPing Wang, Wenxia Xu

PMC · DOI: 10.1002/cam4.71550 · Cancer Medicine · 2026-02-12

## TL;DR

Researchers used organoid models and single-cell sequencing to uncover how colorectal cancer cells resist the drug irinotecan, identifying specific cell clusters and pathways involved in resistance.

## Contribution

The study is the first to integrate patient-derived organoids with single-cell transcriptomics to reveal drug-resistant cell subpopulations and their molecular mechanisms in colorectal cancer.

## Key findings

- Irinotecan-resistant organoids showed higher IC50 values compared to sensitive ones, matching clinical observations.
- Two drug-resistant cell clusters (Cluster 1 and Cluster 6) were identified, each with distinct molecular signatures like Wnt signaling and lipid metabolism.
- The study highlights potential therapeutic targets for overcoming resistance by targeting cancer stem cells or metabolic pathways.

## Abstract

Irinotecan, a standard therapeutic agent for metastatic colorectal cancer (mCRC), often faces significant limitations due to drug resistance, with treatment failure observed in approximately 30%–50% of patients, leading to poor clinical outcomes. This study aims to systematically elucidate the molecular mechanisms underlying irinotecan resistance in colorectal cancer (CRC) by constructing patient‐derived organoid (PDO) models combined with single‐cell transcriptomics technology.

PDO models were successfully established from irinotecan‐resistant and sensitive CRC patients. Single‐cell RNA sequencing (scRNA‐seq) was performed on the organoids, analyzing the transcriptomic heterogeneity of 12,360 high‐quality cells. Gene Set Variation Analysis (GSVA), transcriptional regulatory networks, and cell communication networks were employed to dissect the resistance mechanisms.

Drug sensitivity assays demonstrated that the IC50 value of irinotecan in CRC5 was significantly higher than that in CRC11, which was entirely consistent with their respective clinical phenotypes. Single‐cell sequencing identified CRC5‐specific drug‐resistant cell clusters, Cluster 1 and Cluster 6. Cluster 1 (MARCKSL1+) was characterized by the activation of the Wnt signaling pathway and extracellular matrix (ECM) remodeling, which collectively contributed to the maintenance of stem cell‐like properties, while Cluster 6 (AKR1C3+) exhibited significant enrichment in lipid metabolism and the Notch signaling pathway.

This study integrates PDO models with single‐cell transcriptomics technology to reveal key cell subpopulations and molecular mechanisms underlying irinotecan resistance. The core mechanisms driving resistance involve the activation of Wnt signaling and the synergistic effect of lipid metabolism‐Notch pathways. Cluster 1 and Cluster 6 are identified as potential therapeutic targets, providing a theoretical basis for developing combination therapies targeting cancer stem cells or the metabolic microenvironment.

## Linked entities

- **Genes:** MARCKSL1 (MARCKS like 1) [NCBI Gene 65108], AKR1C3 (aldo-keto reductase family 1 member C3) [NCBI Gene 8644]
- **Chemicals:** irinotecan (PubChem CID 60838)
- **Diseases:** colorectal cancer (MONDO:0005575)

## Full-text entities

- **Genes:** AKR1C3 (aldo-keto reductase family 1 member C3) [NCBI Gene 8644] {aka DD3, DDX, HA1753, HAKRB, HAKRe, HSD17B5}, MARCKSL1 (MARCKS like 1) [NCBI Gene 65108] {aka F52, MACMARCKS, MLP, MLP1, MRP}
- **Diseases:** CRC (MESH:D015179), cancer (MESH:D009369)
- **Chemicals:** Irinotecan (MESH:D000077146), lipid (MESH:D008055)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

6 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12900261/full.md

## References

45 references — full list in the complete paper: https://tomesphere.com/paper/PMC12900261/full.md

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Source: https://tomesphere.com/paper/PMC12900261