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10.1016/j.ddtec.2017.03.002 http://scihub22266oqcxt.onion/10.1016/j.ddtec.2017.03.002 C5497458!5497458!28647083     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Drug+Discov+Today+Technol 2017 ; 23 (ä): 27-36 Nephropedia Template TP {{tp|p=28647083|t=2017. The Production of 3D Tumor Spheroids for Cancer Drug Discovery |pdf=|usr=}}{{28647083}} gab.com Text The Production of 3D Tumor Spheroids for Cancer Drug Discovery JO: Drug Discov Today Technol http://www.kidney.de/pget.php?&tw=1&pmid=28647083 #FOAvip New cancer drug approval rates are ? 5% despite significant investments in cancer research, drug discovery and development. One strategy to improve the rate of success of new cancer drugs transitioning into the clinic would be to more closely align the cellular models used in the early lead discovery with pre-clinical animal models and patient tumors. For solid tumors, this would mandate the development and implementation of three dimensional (3D) in vitro tumor models that more accurately recapitulate human solid tumor architecture and biology. Recent advances in tissue engineering and regenerative medicine have provided new techniques for 3D spheroid generation and a variety of in vitro 3D cancer models are being explored for cancer drug discovery. Although homogeneous assay methods and high content imaging approaches to assess tumor spheroid morphology, growth and viability have been developed, the implementation of 3D models in HTS remains challenging due to reasons that we discuss in this review. Perhaps the biggest obstacle to achieve acceptable HTS assay performance metrics occurs in 3D tumor models that produce spheroids with highly variable morphologies and/or sizes. We highlight two methods that produce uniform size-controlled 3D multicellular tumor spheroids that are compatible with cancer drug research and HTS; tumor spheroids formed in ultra-low attachment microplates, or in polyethylene glycol dimethacrylate hydrogel microwell arrays. Twit Text FOAVip The Production of 3D Tumor Spheroids for Cancer Drug Discovery ????Drug Discov Today Technol http://www.kidney.de/pget.php?&tw=1&pmid=28647083 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28647083 #FOAvip English Wikipedia <ref>{{Cite pmid|28647083}}</ref> The Production of 3D Tumor Spheroids for Cancer Drug Discovery #MMPMID28647083 Sant S; Johnston PA Drug Discov Today Technol 2017[Mar]; 23 (ä): 27-36 PMID28647083show ga New cancer drug approval rates are ? 5% despite significant investments in cancer research, drug discovery and development. One strategy to improve the rate of success of new cancer drugs transitioning into the clinic would be to more closely align the cellular models used in the early lead discovery with pre-clinical animal models and patient tumors. For solid tumors, this would mandate the development and implementation of three dimensional (3D) in vitro tumor models that more accurately recapitulate human solid tumor architecture and biology. Recent advances in tissue engineering and regenerative medicine have provided new techniques for 3D spheroid generation and a variety of in vitro 3D cancer models are being explored for cancer drug discovery. Although homogeneous assay methods and high content imaging approaches to assess tumor spheroid morphology, growth and viability have been developed, the implementation of 3D models in HTS remains challenging due to reasons that we discuss in this review. Perhaps the biggest obstacle to achieve acceptable HTS assay performance metrics occurs in 3D tumor models that produce spheroids with highly variable morphologies and/or sizes. We highlight two methods that produce uniform size-controlled 3D multicellular tumor spheroids that are compatible with cancer drug research and HTS; tumor spheroids formed in ultra-low attachment microplates, or in polyethylene glycol dimethacrylate hydrogel microwell arrays. äThe Production of 3D Tumor Spheroids for Cancer Drug Discovery (epmc).pdf DeepDyve Pubget Overpricing