Personalized Cancer Models for Target Discovery and Precision Medicine

Trends in Cancer
Carla Grandori, Christopher J Kemp

Abstract

Although cancer research is progressing at an exponential rate, translating this knowledge to develop better cancer drugs and more effectively match drugs to patients is lagging. Genome profiling of tumors provides a snapshot of the genetic complexity of individual tumors, yet this knowledge is insufficient to guide therapy for most patients. Model systems, usually cancer cell lines or mice, have been instrumental in cancer research and drug development, but translation of results to the clinic is inefficient, in part, because these models do not sufficiently reflect the complexity and heterogeneity of human cancer. Here, we discuss the potential of combining genomics with high-throughput functional testing of patient-derived tumor cells to overcome key roadblocks in both drug target discovery and precision medicine.

Citations

Sep 24, 2020·Expert Opinion on Therapeutic Targets·Or-Yam RevachRussell W Jenkins
Dec 31, 2019·Journal of Hematology & Oncology·Han FanPu Chen
May 13, 2020·Blood Cancer Journal·Cecilia Bonolo de CamposA Keith Stewart
Jul 3, 2020·Journal of Personalized Medicine·Marios SpanakisEvridiki Patelarou
Nov 4, 2020·Tissue Engineering. Part B, Reviews·Thomas ChowClaudia Di Bella
Dec 3, 2020·Human Gene Therapy·Jing Cai, Guangmei Yan
Feb 23, 2019·Cancer Epidemiology, Biomarkers & Prevention : a Publication of the American Association for Cancer Research, Cosponsored by the American Society of Preventive Oncology·Stanley E HookerRick A Kittles
Mar 2, 2021·Materials Science & Engineering. C, Materials for Biological Applications·Alejandro Herreros-PomaresLijie Grace Zhang
Mar 23, 2021·European Journal of Cancer : Official Journal for European Organization for Research and Treatment of Cancer (EORTC) [and] European Association for Cancer Research (EACR)·Masahiro ShiiharaToru Furukawa
Aug 30, 2020·Journal of Molecular Biology·Isabelle K VilaChristelle Langevin
May 1, 2021·Micromachines·Diana PinhoSandra Carvalho

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