TY - JOUR
T1 - Next generation organoid engineering to replace animals in cancer drug testing
AU - Hockney, Sean
AU - Parker, Jessica
AU - Turner, Jasmin E.
AU - Todd, Xanthea
AU - Todryk, Stephen
AU - Ger Gieling, Roben
AU - Hilgen, Gerrit
AU - Camargo Madeira Simoes, Davina
AU - Pal, Deepali
N1 - Funding information: We acknowledge the National Centre for the Replacement Refinement and Reduction of Animals in Research (NC3Rs) for funding to DP via grant NC/P002412/1 and via grant application NC/V001639/1, where SH is an NC3Rs PhD student. DCMS received funding from Animal Free Research UK (Grant number: 176-Simoes-NORTHUMBRIA and 184-Simoes-NORTHUMBRIA).
PY - 2023/7/1
Y1 - 2023/7/1
N2 - Cancer therapies have several clinical challenges associated with them, namely treatment toxicity, treatment resistance and relapse. Due to factors ranging from patient profiles to the tumour microenvironment (TME), there are several hurdles to overcome in developing effective treatments that have low toxicity that can mitigate emergence of resistance and occurrence of relapse. De novo cancer development has the highest drug attrition rates with only 1 in 10,000 preclinical candidates reaching the market. To alleviate this high attrition rate, more mimetic and sustainable preclinical models that can capture the disease biology as in the patient, are required. Organoids and next generation 3D tissue engineering is an emerging area that aims to address this problem. Advancement of three-dimensional (3D) in vitro cultures into complex organoid models incorporating multiple cell types alongside acellular aspects of tissue microenvironments can provide a system for therapeutic testing. Development of microfluidic technologies have furthermore increased the biomimetic nature of these models. Additionally, 3D bio-printing facilitates generation of tractable ex vivo models in a controlled, scalable and reproducible manner. In this review we highlight some of the traditional preclinical models used in cancer drug testing and debate how next generation organoids are being used to replace not only animal models, but also some of the more elementary in vitro approaches, such as cell lines. Examples of applications of the various models will be appraised alongside the future challenges that still need to be overcome. [Abstract copyright: Copyright © 2023. Published by Elsevier Inc.]
AB - Cancer therapies have several clinical challenges associated with them, namely treatment toxicity, treatment resistance and relapse. Due to factors ranging from patient profiles to the tumour microenvironment (TME), there are several hurdles to overcome in developing effective treatments that have low toxicity that can mitigate emergence of resistance and occurrence of relapse. De novo cancer development has the highest drug attrition rates with only 1 in 10,000 preclinical candidates reaching the market. To alleviate this high attrition rate, more mimetic and sustainable preclinical models that can capture the disease biology as in the patient, are required. Organoids and next generation 3D tissue engineering is an emerging area that aims to address this problem. Advancement of three-dimensional (3D) in vitro cultures into complex organoid models incorporating multiple cell types alongside acellular aspects of tissue microenvironments can provide a system for therapeutic testing. Development of microfluidic technologies have furthermore increased the biomimetic nature of these models. Additionally, 3D bio-printing facilitates generation of tractable ex vivo models in a controlled, scalable and reproducible manner. In this review we highlight some of the traditional preclinical models used in cancer drug testing and debate how next generation organoids are being used to replace not only animal models, but also some of the more elementary in vitro approaches, such as cell lines. Examples of applications of the various models will be appraised alongside the future challenges that still need to be overcome. [Abstract copyright: Copyright © 2023. Published by Elsevier Inc.]
KW - Preclinical models
KW - induced pluripotent stem cells
KW - cancer niche
KW - cancer-associated fibroblasts
KW - cancer stem cells
KW - cancer microenvironment
KW - cancer therapeutic challenges
UR - http://www.scopus.com/inward/record.url?scp=85160533726&partnerID=8YFLogxK
U2 - 10.1016/j.bcp.2023.115586
DO - 10.1016/j.bcp.2023.115586
M3 - Review article
C2 - 37164297
SN - 0006-2952
VL - 213
JO - Biochemical Pharmacology
JF - Biochemical Pharmacology
M1 - 115586
ER -