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Recent advancements and limitations of intestinal organoids for clinical applications

类有机物 精密医学 医学 诱导多能干细胞 个性化医疗 结直肠癌 计算生物学 肿瘤异质性 再生医学 生物信息学 药物发现 间质细胞 微生物群 干细胞 液体活检 药物开发 癌症 生物 艾塞那肽 药品 癌症研究 药物反应 转化研究 大肠癌小鼠模型的建立 计算机科学
作者
Md Zahirul Islam Khan,Somrita Roy,Soumya Nair,Asma Pinkey,Taslim Al-Hilal,Helen KW Law,Sourav Roy
出处
期刊:Progress in Biomedical Engineering [IOP Publishing]
标识
DOI:10.1088/2516-1091/ae8107
摘要

Colorectal cancer (CRC) is one of the leading causes of cancer-related deaths worldwide, and there has been a concerning rise in its incidence among younger populations. Although there have been significant advances in molecular characterization, translating research findings into effective therapeutic strategies for CRC management remains suboptimal. This challenge is largely attributed to the limitations of conventional preclinical models, such as 2D or patient derived xenograft (PDX), which fail to recapitulate the complexity and heterogeneity of CRC tissues. Intestinal organoids, derived from adult or pluripotent stem cells, have emerged as transformative tools to address the current limitations by mimicking the structural, genetic, and functional characteristics of native intestinal tissue in a three-dimensional (3D) culture environment. These organoids preserve patient-specific genomic features, allowing long-term growth, and serve as a more physiologically relevant model for studying CRC initiation, progression and drug resistance mechanisms. Furthermore, the integration of organoids with CRISPR/Cas9 genome editing, high-throughput drug screening, and multi-omics technologies has greatly enhanced their utility in personalized medicine and drug discovery. However, several unsolved challenges remain with the organoid model, such as culturing variability, a lack of protocol standardization, and an incomplete representation of the tumour microenvironment, particularly immune and stromal cells. This review offers a critical and comprehensive overview of intestinal organoid technologies in CRC research, identifies major knowledge gaps, and highlights emerging strategies to enhance their application in clinical settings. The study aims to provide future directions that could significantly enhance precision oncology and ultimately improve therapeutic outcomes for CRC patients.
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