Patient-derived xenograft: a developing tool for screening biomarkers and potential therapeutic targets for human esophageal cancers

被引:0
|
作者
Lan, Tianfeng [1 ]
Xue, Xia [1 ,2 ]
Dunmall, Louisa Chard [3 ]
Miao, Jinxin [1 ,4 ]
Wang, Yaohe [1 ,3 ]
机构
[1] Zhengzhou Univ, Acad Med Sci, Sino British Res Ctr Mol Oncol, Natl Ctr Int Res Cell & Gene Therapy,Sch Basic Sc, Zhengzhou, Henan, Peoples R China
[2] Zhengzhou Univ, Affiliated Hosp 2, Acad Med Sci, Precis Med Ctr, Zhengzhou, Henan, Peoples R China
[3] Queen Mary Univ London, Ctr Canc Biomarkers & Biotherapeuitcs, Barts Canc Inst, London, England
[4] Henan Univ Chinese Med, Acad Chinese Med Sci, Zhengzhou, Henan, Peoples R China
来源
AGING-US | 2021年 / 13卷 / 08期
基金
国家重点研发计划;
关键词
patient-derived xenograft; esophageal cancer; biomarkers; therapeutic targets; immunodeficient mice; SQUAMOUS-CELL CARCINOMA; GROWTH-FACTOR RECEPTOR; STRESS-INDUCED PHOSPHORYLATION; TOPOISOMERASE-I; SIGNALING PATHWAY; ERBB RECEPTORS; BREAST-CANCER; ETHYL GALLATE; MOUSE MODEL; OVEREXPRESSION;
D O I
暂无
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
Esophageal cancer (EC) represents a human malignancy, diagnosed often at the advanced stage of cancer and resulting in high morbidity and mortality. The development of precision medicine allows for the identification of more personalized therapeutic strategies to improve cancer treatment. By implanting primary cancer tissues into immunodeficient mice for expansion, patient-derived xenograft (PDX) models largely maintain similar histological and genetic representations naturally found in patients' tumor cells. PDX models of EC (EC-PDX) provide fine platforms to investigate the tumor microenvironment, tumor genomic heterogeneity, and tumor response to chemoradiotherapy, which are necessary for new drug discovery to combat EC in addition to optimization of current therapeutic strategies for EC. In this review, we summarize the methods used for establishing EC-PDX models and investigate the utilities of EC-PDX in screening predictive biomarkers and potential therapeutic targets. The challenge of this promising research tool is also discussed.
引用
收藏
页码:12273 / 12293
页数:21
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