Patient-Derived Organoids from Colorectal Cancer with Paired Liver Metastasis Reveal Tumor Heterogeneity and Predict Response to Chemotherapy.
Shaobo MoPeiyuan TangWenqin LuoLong ZhangYaqi LiXiang HuXiaoji MaYikuan ChenYichao BaoXingfeng HeGuoxiang FuXiaoya XuXinxin RaoXiaomeng LiRuoyu GuanShengzhi ChenYun DengTao LvPeiyuan MuQiang ZhengSimin WangFangqi LiuYiwei LiWeiqi ShengDan HuangChen HuJianjun GaoZhen ZhangSanjun CaiHans CleversJunjie PengGuoqiang HuaPublished in: Advanced science (Weinheim, Baden-Wurttemberg, Germany) (2022)
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.
Keyphrases
- single cell
- end stage renal disease
- rna seq
- ejection fraction
- newly diagnosed
- genome wide
- chronic kidney disease
- high throughput
- prognostic factors
- squamous cell carcinoma
- gene expression
- peritoneal dialysis
- locally advanced
- small cell lung cancer
- stem cells
- radiation therapy
- risk assessment
- machine learning
- deep learning
- electronic health record
- chemotherapy induced