Genomic evolution of cancer models: perils and opportunities

被引：0
作者：
Uri Ben-David
Rameen Beroukhim
Todd R. Golub
机构：
[1] Broad Institute of Harvard and MIT,
[2] Dana-Farber Cancer Institute,undefined
[3] Harvard Medical School,undefined
[4] Brigham and Women’s Hospital,undefined
[5] Howard Hughes Medical Institute,undefined
来源：
Nature Reviews Cancer | 2019年 / 19卷
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Cancer research relies on model systems, which reflect the biology of actual human tumours to only a certain extent. One important feature of human cancer is its intra-tumour genomic heterogeneity and instability. However, the extent of such genomic instability in cancer models has received limited attention in research. Here, we review the state of knowledge of genomic instability of cancer models and discuss its biological origins and implications for basic research and for cancer precision medicine. We discuss strategies to cope with such genomic evolution and evaluate both the perils and the emerging opportunities associated with it.
引用
收藏
页码：97 / 109
页数：12
相关论文
共 203 条
[1]  
Greaves M(2015)Evolutionary determinants of cancer Cancer Discov. 5 806-820
[2]  
McGranahan N(2017)Clonal heterogeneity and tumor evolution: past, present, and the future Cell 168 613-628
[3]  
Swanton C(2018)Organoids in cancer research Nat. Rev. Cancer 18 407-418
[4]  
Drost J(2017)Interrogating open issues in cancer precision medicine with patient-derived xenografts Nat. Rev. Cancer 17 254-268
[5]  
Clevers H(2013)The clinical relevance of cancer cell lines J. Natl Cancer Inst. 105 452-458
[6]  
Byrne AT(2016)DNA repair, genome stability and cancer: a historical perspective Nat. Rev. Cancer 16 35-42
[7]  
Gillet JP(2017)Genetically engineered mouse models in oncology research and cancer medicine EMBO Mol. Med. 9 137-153
[8]  
Varma S(2012)The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity Nature 483 603-607
[9]  
Gottesman MM(2012)Systematic identification of genomic markers of drug sensitivity in cancer cells Nature 483 570-575
[10]  
Jeggo PA(2013)An interactive resource to identify cancer genetic and lineage dependencies targeted by small molecules Cell 154 1151-1161
12345678910