Application of tumoroids derived from advanced colorectal cancer patients to predict individual response to chemotherapy

被引:6
|
作者
Yao, Lei [1 ]
Zao, Xiao-Long [1 ]
Pan, Xiao-Fei [1 ]
Zhang, Hao-Gang [1 ]
Wang, Fu-Jing [1 ]
Qiao, Peng-Fei [1 ]
机构
[1] Harbin Med Univ, Dept Gen Surg, Affiliated Hosp 2, Harbin 150086, Peoples R China
关键词
Tumoroids; patient-derived organoids; living biobank; advanced colorectal cancer; chemotherapy; personalized medicine program; PLURIPOTENT STEM-CELLS; LONG-TERM EXPANSION; ORGANOID CULTURES; HUMAN COLON; DISEASE; DIVERSITY; PLATFORM; BIOBANK; MODELS; MOUSE;
D O I
10.1080/1120009X.2022.2045827
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Therapeutic approaches of advanced colorectal cancer are more complex, here we present a living biobank of patient-derived tumoroids from advanced colorectal cancer patients and show examples of how these tumoroids can be used to to simulate cancer behavior ex vivo and provide more evidence for tumoroids could be utilized as a predictive platform during chemotherapy treatment to identify the chemotherapy response. Morphological, histological and genomic characterization analysis of colorectal cancer tumoroids was conducted. Further, we treated colorectal cancer tumoroids with different drugs to detect cellular activities to evaluate drug sensitivity using CellTiter-Glo 3 D cell viability assay. Then the drug sensitivity of tumoroids was compared with clinical outcomes. Our results implied that tumoroids recapitulated the histological features of the original tumours and genotypic profiling of tumoroids showed a high-level of similarity to the matched primary tumours. Dose-response curves, area under the curve and tumour inhibitory rate of each therapeutic profiling calculations in tumoroids demonstrated a great diversity and we gained 88.24% match ratio between the sensitivity data of tumoroids with their paired patients' clinical outcomes. tumour inhibitory rate of each treatment parameters in tumoroids performed positive correlation with progression-free survival while area under the curve of each treatment parameters performed negative correlation with progression-free survival of the corresponding patients. In summary, We presented a living biobank of tumoroids from advanced colorectal cancer patients and show tumoroids got great potential for predicting clinical responses to chemotherapy treatment of advanced colorectal cancer.
引用
收藏
页码:104 / 116
页数:13
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