Scientific ReportsCancer BiologyPeer-reviewed journal article
Application and mechanism of anticancer peptides in organoid models of intrahepatic cholangiocarcinoma
Xuekai Hu, Yue Zhang, Yanchen LiiD, Qiuxia ZhengiD, Haixia ZhaoiD, Yun Zhang, Jingman NiiD, Jiaxi YaoiD
- Citations
- 2
- FWCI
- 1.87
- Field percentile
- top 15%
Abstract
BackgroundThe clinical manifestations of intrahepatic cholangiocarcinoma (ICC) are non-specific, and only a small number of patients are eligible for surgical resection at the time of diagnosis, limiting treatment options. Anticancer peptides (ACPs) exhibit strong inhibitory activity against tumour cell lines, exhibit minimal side effects, are easily modified and optimised, and have low production costs. These attributes make ACPs a prospect for clinical applications. Simultaneously, the development of patient-derived three-dimensional organoids as a novel disease model has enabled the replication of the structure and heterogeneity of solid tumours. These organoids provide valuable tools for understanding disease mechanisms, conducting drug sensitivity tests, and developing targeted therapies. However, the effect of ACPs at the organoid level in ICC remains unknown. Therefore, this study aims to explore the potential of ACPs in treating ICC using patient-derived organoids as a model system to evaluate their efficacy and optimize therapeutic strategies. MethodsWe designed and synthesised a novel ACP sequence and applied it to a patient-derived organoids (PDOs) model. Organoids were evaluated using histochemistry analysis and whole-exome sequencing. ACPs were compared with representative chemotherapeutic drugs, including sorafenib and gemcitabine, to assess treatment differences. Additionally, scanning electron microscopy and flow cytometry were performed for further mechanistic analyses. ResultsOrganoid models exhibited histological characteristics similar to those of maternal tumours, especially showing strong positivity for EpCAM and KRT19 expression. Furthermore, whole-exome sequencing of the primary tumour and derived organoids revealed that PDOs closely recapitulated the genomic similarities of the primary tumour across multiple levels. Drug response analyses revealed that ACPs exhibited highly efficient anti-tumour effects, with specific differences observed between patients. ACPs affected the growth of tumour cells and exerted anticancer effects through direct membrane disruption and indirect induction of apoptosis. ConclusionIn this study, organoids derived from patients with ICC were established. This in vitro model provides valuable tools for evaluating the therapeutic response of ACPs and offers novel insight for the study of ICC.
- organism: human
- assay: bulk RNA-seq
- research focus: drug response / drug discovery
- approach: experimental assay
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Paired primary-metastasis patient-derived organoids and mouse models identify phenotypic evolution and druggable dependencies of peritoneal metastasis from appendiceal cancer
Ahmed Mahmoud, Philip H. Choi, … Karuna Ganesh·bioRxiv·Feb 17, 2025
- A Patient-Derived Ex Vivo Tissue Model of Cholangiocarcinoma Using Precision-Cut Tissue Slices
Timothy M. Gilbert, Owen McGreevy, … Laura E. Randle·bioRxiv·Sep 18, 2026
- Reprogramming Intrahepatic Cholangiocarcinoma Immune Microenvironment by Chemotherapy and CTLA-4 Blockade Enhances Anti-PD1 Therapy
J. Chen, Z. Amoozgar, … D. G. Duda·bioRxiv·Jan 26, 2023
- Pancreatic adenocarcinoma human organoids share structural and genetic features with primary tumors
I. Romero Calvo, C. R. Weber, … K. P. White·bioRxiv·Jun 8, 2018
- Patient-Derived Liver Cancer Organoids Reflect Tumor Biology and Their Growth Phenotype Correlates with Clinical Outcomes
Yeon Su Kim, Yoon-Ha Go, … Jin Hong Lim·bioRxiv·Oct 6, 2026
- The drug-induced phenotypic landscape of colorectal cancer organoids
Johannes Betge, Niklas Rindtorff, … Michael Boutros·Nature CommunicationsPeer-reviewed·Jun 6, 2022