TY - JOUR
T1 - Organ-on-Chip platforms to study tumor evolution and chemosensitivity
AU - Dsouza, Venzil Lavie
AU - Kuthethur, Raviprasad
AU - Kabekkodu, Shama Prasada
AU - Chakrabarty, Sanjiban
N1 - Funding Information:
This work was supported by Science and Engineering Research Board (SERB), Department of Science and Technology, Government of India ( YSS/2015/001051 , and CRG/2020/004681 ). RK was supported by the Indian Council of Medical Research-Senior Research Fellowship (File No: 2019-0278/GEN-BMS ), Government of India. The infrastructure support and funding from DST-FIST, TIFAC-CORE, VGST Karnataka, K-FIST, and Manipal Academy of Higher Education is gratefully acknowledged. The authors acknowledge Dik C van Gent for the comments and suggestions to improve the manuscript.
Publisher Copyright:
© 2022 Elsevier B.V.
PY - 2022/5
Y1 - 2022/5
N2 - Despite tremendous advancements in oncology research and therapeutics, cancer remains a primary cause of death worldwide. One of the significant factors in this critical challenge is a precise diagnosis and limited knowledge on how the tumor microenvironment (TME) behaves to the treatment and its role in chemo-resistance. Therefore, it is critical to understand the contribution of a heterogeneous TME in cancer drug response in individual patients for effective therapy management. Micro-physiological systems along with tissue engineering have facilitated the development of more physiologically relevant platforms, known as Organ-on-Chips (OoC). OoC platforms recapitulate the critical hallmarks of the TME in vitro and subsequently abet in sensitivity and efficacy testing of anti-cancer drugs before clinical trials. The OoC platforms incorporating conventional in vitro models enable researchers to control the cellular, molecular, chemical, and biophysical parameters of the TME in precise combinations while analyzing how they contribute to tumor progression and therapy response. This review discusses the application of OoC platforms integrated with conventional 2D cell lines, 3D organoids and spheroid models, and the organotypic tissue slices, including patient-derived and xenograft tumor slice cultures in cancer treatment responses. We summarize the relevance and drawbacks of conventional in vitro models in assessing cancer treatment response, challenges and limitations associated with OoC models, and future opportunities enabled by the OoC technologies towards developing personalized cancer diagnostics and therapeutics.
AB - Despite tremendous advancements in oncology research and therapeutics, cancer remains a primary cause of death worldwide. One of the significant factors in this critical challenge is a precise diagnosis and limited knowledge on how the tumor microenvironment (TME) behaves to the treatment and its role in chemo-resistance. Therefore, it is critical to understand the contribution of a heterogeneous TME in cancer drug response in individual patients for effective therapy management. Micro-physiological systems along with tissue engineering have facilitated the development of more physiologically relevant platforms, known as Organ-on-Chips (OoC). OoC platforms recapitulate the critical hallmarks of the TME in vitro and subsequently abet in sensitivity and efficacy testing of anti-cancer drugs before clinical trials. The OoC platforms incorporating conventional in vitro models enable researchers to control the cellular, molecular, chemical, and biophysical parameters of the TME in precise combinations while analyzing how they contribute to tumor progression and therapy response. This review discusses the application of OoC platforms integrated with conventional 2D cell lines, 3D organoids and spheroid models, and the organotypic tissue slices, including patient-derived and xenograft tumor slice cultures in cancer treatment responses. We summarize the relevance and drawbacks of conventional in vitro models in assessing cancer treatment response, challenges and limitations associated with OoC models, and future opportunities enabled by the OoC technologies towards developing personalized cancer diagnostics and therapeutics.
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U2 - 10.1016/j.bbcan.2022.188717
DO - 10.1016/j.bbcan.2022.188717
M3 - Review article
AN - SCOPUS:85126578239
SN - 0304-419X
VL - 1877
JO - Biochimica et Biophysica Acta - Reviews on Cancer
JF - Biochimica et Biophysica Acta - Reviews on Cancer
IS - 3
M1 - 188717
ER -