Title |
Anti-Cancer Drug Validation: the Contribution of Tissue Engineered Models
|
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Published in |
Stem Cell Reviews and Reports, February 2017
|
DOI | 10.1007/s12015-017-9720-x |
Pubmed ID | |
Authors |
Mariana R. Carvalho, Daniela Lima, Rui L. Reis, Joaquim M. Oliveira, Vitor M. Correlo |
Abstract |
Drug toxicity frequently goes concealed until clinical trials stage, which is the most challenging, dangerous and expensive stage of drug development. Both the cultures of cancer cells in traditional 2D assays and animal studies have limitations that cannot ever be unraveled by improvements in drug-testing protocols. A new generation of bioengineered tumors is now emerging in response to these limitations, with potential to transform drug screening by providing predictive models of tumors within their tissue context, for studies of drug safety and efficacy. Considering the NCI60, a panel of 60 cancer cell lines representative of 9 different cancer types: leukemia, lung, colorectal, central nervous system (CNS), melanoma, ovarian, renal, prostate and breast, we propose to review current "state of art" on the 9 cancer types specifically addressing the 3D tissue models that have been developed and used in drug discovery processes as an alternative to complement their study. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 1 | 25% |
Colombia | 1 | 25% |
Portugal | 1 | 25% |
Unknown | 1 | 25% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 4 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 95 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 17 | 18% |
Student > Master | 14 | 15% |
Student > Ph. D. Student | 10 | 11% |
Student > Doctoral Student | 8 | 8% |
Student > Bachelor | 7 | 7% |
Other | 16 | 17% |
Unknown | 23 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 18 | 19% |
Medicine and Dentistry | 8 | 8% |
Agricultural and Biological Sciences | 7 | 7% |
Engineering | 6 | 6% |
Materials Science | 4 | 4% |
Other | 21 | 22% |
Unknown | 31 | 33% |