Journal ArticleDOI
Drug screening in 3D in vitro tumor models: overcoming current pitfalls of efficacy read-outs.
Vítor E. Santo,Sofia P. Rebelo,Marta Estrada,Paula M. Alves,Erwin R. Boghaert,Catarina Brito +5 more
TLDR
This review is focused on the several challenges and adjustments that the field of oncology research is facing to translate these advanced tumor cells models to drug discovery, taking advantage of the progress on culture technologies, imaging platforms, high throughput and automated systems.Abstract:
There is cumulating evidence that in vitro 3D tumor models with increased physiological relevance can improve the predictive value of pre-clinical research and ultimately contribute to achieve decisions earlier during the development of cancer-targeted therapies. Due to the role of tumor microenvironment in the response of tumor cells to therapeutics, the incorporation of different elements of the tumor niche on cell model design is expected to contribute to the establishment of more predictive in vitro tumor models. This review is focused on the several challenges and adjustments that the field of oncology research is facing to translate these advanced tumor cells models to drug discovery, taking advantage of the progress on culture technologies, imaging platforms, high throughput and automated systems. The choice of 3D cell model, the experimental design, choice of read-outs and interpretation of data obtained from 3D cell models are critical aspects when considering their implementation in drug discovery. In this review, we foresee some of these aspects and depict the potential directions of pre-clinical oncology drug discovery towards improved prediction of drug efficacy.read more
Citations
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Journal ArticleDOI
Targeting Tumor Microenvironment for Cancer Therapy.
TL;DR: In this article, a big effort has been made to develop new therapeutic strategies towards a more efficient targeting of tumor microenvironment (TME) components, extending from conventional therapeutics, to combined therapies and nanomedicines; and the development of models that accurately resemble the TME for bench investigations.
Journal ArticleDOI
Bioprinting for Neural Tissue Engineering.
TL;DR: A range of bioprinted neural tissue models are reviewed and discussed how they can be used to observe how neurons behave, understand disease processes, develop new therapies and, ultimately, design replacement tissues.
Journal ArticleDOI
Application of Cancer Organoid Model for Drug Screening and Personalized Therapy.
Jumpei Kondo,Masahiro Inoue +1 more
TL;DR: Recent progress regarding experimental cancer models having more physiological and clinical relevance for drug screening are outlined, which are important for the successful evaluation of cellular response to drugs.
Journal ArticleDOI
Advanced cell culture platforms: a growing quest for emulating natural tissues
Marziye Mirbagheri,Marziye Mirbagheri,Marziye Mirbagheri,Vahid Adibnia,Bethany Hughes,Bethany Hughes,Stephen D. Waldman,Stephen D. Waldman,Xavier Banquy,Dae Kun Hwang,Dae Kun Hwang +10 more
TL;DR: Topographical substrates, controlling cell adhesion in two and three dimensions, are reviewed and compared with two- and three-dimensional models.
Journal ArticleDOI
Anticancer drug discovery using multicellular tumor spheroid models.
TL;DR: The present review focuses on available techniques for generating tumor spheroids and discusses current and future applications in the field of drug discovery, including 3D tumor models on which to perform in vitro drug screening.
References
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The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity
Jordi Barretina,Giordano Caponigro,Nicolas Stransky,Kavitha Venkatesan,Adam A. Margolin,Adam A. Margolin,Sungjoon Kim,Christine D. Wilson,Joseph Lehar,Gregory V. Kryukov,Dmitriy Sonkin,Anupama Reddy,Manway Liu,Lauren Murray,Michael F. Berger,Michael F. Berger,John Monahan,Paula Morais,Jodi Meltzer,Adam Korejwa,Judit Jané-Valbuena,Judit Jané-Valbuena,Felipa A. Mapa,Joseph Thibault,Eva Bric-Furlong,Pichai Raman,Aaron Shipway,Ingo H. Engels,Jill Cheng,Guoying K. Yu,Jianjun Yu,Peter Aspesi,Melanie de Silva,Kalpana Jagtap,Michael D. Jones,Li Wang,Charlie Hatton,Emanuele Palescandolo,Supriya Gupta,Scott Mahan,Carrie Sougnez,Robert C. Onofrio,Ted Liefeld,Laura E. MacConaill,Wendy Winckler,Michael R. Reich,Nanxin Li,Jill P. Mesirov,Stacey Gabriel,Gad Getz,Kristin G. Ardlie,Vivien W. Chan,Vic E. Myer,Barbara L. Weber,Jeffrey A. Porter,Markus Warmuth,Peter Finan,Jennifer L. Harris,Matthew Meyerson,Matthew Meyerson,Todd R. Golub,Michael Morrissey,William R. Sellers,Robert Schlegel,Levi A. Garraway,Levi A. Garraway +65 more
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Matrix Crosslinking Forces Tumor Progression by Enhancing Integrin Signaling
Kandice R. Levental,Hongmei Yu,Laura Kass,Johnathon N. Lakins,Mikala Egeblad,Janine T. Erler,Sheri F. T. Fong,Katalin Csiszar,Amato J. Giaccia,Wolfgang Weninger,Mitsuo Yamauchi,David L. Gasser,Valerie M. Weaver +12 more
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Long-term expansion of epithelial organoids from human colon, adenoma, adenocarcinoma, and Barrett's epithelium.
Toshiro Sato,Daniel E. Stange,Marc Ferrante,Marc Ferrante,Robert G.J. Vries,Johan H. van Es,Stieneke van den Brink,Winan J. van Houdt,Apollo Pronk,Joost van Gorp,Peter D. Siersema,Hans Clevers +11 more
TL;DR: A technology that can be used to study infected, inflammatory, or neoplastic tissues from the human gastrointestinal tract is developed that might have applications in regenerative biology through ex vivo expansion of the intestinal epithelia.
Journal ArticleDOI
Microfluidic organs-on-chips
TL;DR: A microfluidic cell culture device created with microchip manufacturing methods that contains continuously perfused chambers inhabited by living cells arranged to simulate tissue- and organ-level physiology has great potential to advance the study of tissue development, organ physiology and disease etiology.
Journal ArticleDOI
Systematic identification of genomic markers of drug sensitivity in cancer cells
Mathew J. Garnett,Elena J. Edelman,Sonja J. Heidorn,Christopher Greenman,Christopher Greenman,Anahita Dastur,King Wai Lau,Patricia Greninger,I. Richard Thompson,Xi Luo,Jorge Soares,Qingsong Liu,Francesco Iorio,Francesco Iorio,Didier Surdez,Li Chen,Randy J. Milano,Graham R. Bignell,Ah Ting Tam,Helen Davies,Jesse A. Stevenson,Syd Barthorpe,Stephen R. Lutz,Fiona Kogera,Karl P. Lawrence,Anne McLaren-Douglas,Xeni Mitropoulos,Tatiana Mironenko,Helen Thi,Laura Richardson,Wenjun Zhou,F Jewitt,Tinghu Zhang,Patrick O’Brien,Jessica L. Boisvert,Stacey Price,Wooyoung Hur,Wanjuan Yang,Xianming Deng,Adam Butler,Hwan Geun Choi,Jae Won Chang,José Baselga,Ivan Stamenkovic,Jeffrey A. Engelman,Sreenath V. Sharma,Sreenath V. Sharma,Olivier Delattre,Julio Saez-Rodriguez,Nathanael S. Gray,Jeffrey Settleman,P. Andrew Futreal,Daniel A. Haber,Daniel A. Haber,Michael R. Stratton,Sridhar Ramaswamy,Ultan McDermott,Cyril H. Benes +57 more
TL;DR: It was found that mutated cancer genes were associated with cellular response to most currently available cancer drugs, and systematic pharmacogenomic profiling in cancer cell lines provides a powerful biomarker discovery platform to guide rational cancer therapeutic strategies.