Patient‐Derived Organoids from Colorectal Cancer with Paired Liver Metastasis Reveal Tumor Heterogeneity and Predict Response to Chemotherapy

There is no effective method to predict chemotherapy response and postoperative prognosis of colorectal cancer liver metastasis (CRLM) patients. Patient‐derived organoid (PDO) has become an important preclinical model. Herein, a living biobank with 50 CRLM organoids derived from primary tumors and p...

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Detalles Bibliográficos
Autores principales: Mo, Shaobo, Tang, Peiyuan, Luo, Wenqin, Zhang, Long, Li, Yaqi, Hu, Xiang, Ma, Xiaoji, Chen, Yikuan, Bao, Yichao, He, Xingfeng, Fu, Guoxiang, Xu, Xiaoya, Rao, Xinxin, Li, Xiaomeng, Guan, Ruoyu, Chen, Shengzhi, Deng, Yun, Lv, Tao, Mu, Peiyuan, Zheng, Qiang, Wang, Simin, Liu, Fangqi, Li, Yiwei, Sheng, Weiqi, Huang, Dan, Hu, Chen, Gao, Jianjun, Zhang, Zhen, Cai, Sanjun, Clevers, Hans, Peng, Junjie, Hua, Guoqiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9631073/
https://www.ncbi.nlm.nih.gov/pubmed/36058001
http://dx.doi.org/10.1002/advs.202204097
Descripción
Sumario:There is no effective method to predict chemotherapy response and postoperative prognosis of colorectal cancer liver metastasis (CRLM) patients. Patient‐derived organoid (PDO) has become an important preclinical model. Herein, a living biobank with 50 CRLM organoids derived from primary tumors and paired liver metastatic lesions is successfully constructed. CRLM PDOs from the multiomics levels (histopathology, genome, transcriptome and single‐cell sequencing) are comprehensively analyzed and confirmed that this organoid platform for CRLM could capture intra‐ and interpatient heterogeneity. The chemosensitivity data in vitro reveal the potential value of clinical application for PDOs to predict chemotherapy response (FOLFOX or FOLFIRI) and clinical prognosis of CRLM patients. Taken together, CRLM PDOs can be utilized to deliver a potential application for personalized medicine.

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