Cancer Modeling-on-a-Chip with Future Artificial Intelligence Integration.

Autor: Fetah KL; Center for Minimally Invasive Therapeutics, University of California, Los Angeles, CA, 90095, USA.; California NanoSystems Institute (CNSI), University of California, 570 Westwood Plaza, Los Angeles, CA, 90095, USA.; Department of Bioengineering, University of California, Los Angeles, CA, 90095, USA., DiPardo BJ; Department of Surgery, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA., Kongadzem EM; School of Technology and Innovations, University of Vaasa, FI-65101, Vaasa, Finland., Tomlinson JS; Department of Surgery, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA., Elzagheid A; Biotechnology Research Center, Libyan Authority for Research, Science and Technology, Tripoli, Libya., Elmusrati M; School of Technology and Innovations, University of Vaasa, FI-65101, Vaasa, Finland., Khademhosseini A; Center for Minimally Invasive Therapeutics, University of California, Los Angeles, CA, 90095, USA.; California NanoSystems Institute (CNSI), University of California, 570 Westwood Plaza, Los Angeles, CA, 90095, USA.; Department of Bioengineering, University of California, Los Angeles, CA, 90095, USA.; Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA., Ashammakhi N; Center for Minimally Invasive Therapeutics, University of California, Los Angeles, CA, 90095, USA.; California NanoSystems Institute (CNSI), University of California, 570 Westwood Plaza, Los Angeles, CA, 90095, USA.; Department of Bioengineering, University of California, Los Angeles, CA, 90095, USA.; School of Technology and Innovations, University of Vaasa, FI-65101, Vaasa, Finland.; Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA.; Division of Plastic Surgery, Department of Surgery, Oulu University, FI-9001, Oulu, Finland.
Jazyk: angličtina
Zdroj: Small (Weinheim an der Bergstrasse, Germany) [Small] 2019 Dec; Vol. 15 (50), pp. e1901985. Date of Electronic Publication: 2019 Nov 13.
DOI: 10.1002/smll.201901985
Abstrakt: Cancer is one of the leading causes of death worldwide, despite the large efforts to improve the understanding of cancer biology and development of treatments. The attempts to improve cancer treatment are limited by the complexity of the local milieu in which cancer cells exist. The tumor microenvironment (TME) consists of a diverse population of tumor cells and stromal cells with immune constituents, microvasculature, extracellular matrix components, and gradients of oxygen, nutrients, and growth factors. The TME is not recapitulated in traditional models used in cancer investigation, limiting the translation of preliminary findings to clinical practice. Advances in 3D cell culture, tissue engineering, and microfluidics have led to the development of "cancer-on-a-chip" platforms that expand the ability to model the TME in vitro and allow for high-throughput analysis. The advances in the development of cancer-on-a-chip platforms, implications for drug development, challenges to leveraging this technology for improved cancer treatment, and future integration with artificial intelligence for improved predictive drug screening models are discussed.
(© 2019 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.)
Databáze: MEDLINE
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