Patient-derived xenograft models for personalized medicine in colorectal cancer

被引:0
作者
Jun Xie
Yan Lin
机构
[1] Affiliated Hospital of Shaoxing University,General Surgery
[2] Zhejiang Provincial People’s Hospital (People’s Hospital of Hangzhou Medical College),Department of Gastroenterology
来源
Clinical and Experimental Medicine | 2020年 / 20卷
关键词
Colorectal cancer; Patient-derived xenografts; Preclinical model; Immune-deficient mouse; Personalized medicine;
D O I
暂无
中图分类号
学科分类号
摘要
Establishing superior preclinical models is critical for translational cancer research owing to the high failure rates of novel therapeutics in clinical studies. Even though cell line-derived xenograft models are easy to create, they have numerous limitations since these models do not represent the distinctive features of each cancer patient adequately. To circumvent the discrepancies between xenograft models and tumors, patient-derived xenograft (PDX) models have been developed. These models are established through the engraftment of tissue from a patient’s tumor into an immune-deficient mouse, which preserves cell–cell interactions and tumor microenvironment. Since PDXs precisely replicate intratumoral heterogeneity, a range of chemotherapeutic agents can be tested on individual tumors. Colorectal cancer represents a unique case to demonstrate clinical perspectives revealed by PDX models since they surmount limitations of conventional ex vivo models. Even though PDX models have been associated with drawbacks with respect to prediction of clinical outcomes, they are currently the model of choice for preclinical investigations in colorectal cancer. In the current review, we provide an overview of the methodology and applications of PDX for colorectal cancer and discuss critical issues for the advancement of these models for preclinical research.
引用
收藏
页码:167 / 172
页数:5
相关论文
共 140 条
[1]  
Arnold M(2017)Global patterns and trends in colorectal cancer incidence and mortality Gut 66 683-691
[2]  
Sierra MS(2008)A history of cancer chemotherapy Cancer Res 68 8643-8653
[3]  
Laversanne M(2009)Colorectal cancer epidemiology: incidence, mortality, survival, and risk factors Clin Colon Rectal Surg 22 191-197
[4]  
Soerjomataram I(2012)Natural resistance to apoptosis correlates with resistance to chemotherapy in colorectal cancer cells Clin Exp Med 12 97-103
[5]  
Jemal A(2013)The exomes of the NCI-60 panel: a genomic resource for cancer biology and systems pharmacology Cancer Res 73 4372-4382
[6]  
Bray F(2014)Patient-derived xenograft models: an emerging platform for translational cancer research Cancer Discov 4 998-1013
[7]  
DeVita VT(2019)Mutation analysis of POLE gene in patients with early-onset colorectal cancer revealed a rare silent variant within the endonuclease domain with potential effect on splicing Clin Exp Med 19 393-400
[8]  
Chu E(2017)Animal models of colorectal cancer with liver metastasis Cancer Lett 387 114-120
[9]  
Haggar FA(2012)A personal view on systems medicine and the emergence of proactive P4 medicine: predictive, preventive, personalized and participatory N Biotechnol 29 613-624
[10]  
Boushey RP(2018)The growing role of precision and personalized medicine for cancer treatment Technology (Singap World Sci). 6 79-100