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10.1038/srep14118 http://scihub22266oqcxt.onion/10.1038/srep14118 C4585751!4585751 !26392291     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\26392291 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Sci+Rep 2015 ; 5 (ä): 14118 Nephropedia Template TP {{tp|p=26392291 |t=2015. In vitro discovery of promising anti-cancer drug combinations using iterative maximisation of a therapeutic index |pdf=|usr=}}{{26392291 }} gab.com Text In vitro discovery of promising anti-cancer drug combinations using iterative maximisation of a therapeutic index JO: Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=26392291 #FOAvip In vitro-based search for promising anti-cancer drug combinations may provide important leads to improved cancer therapies. Currently there are no integrated computational-experimental methods specifically designed to search for combinations, maximizing a predefined therapeutic index (TI) defined in terms of appropriate model systems. Here, such a pipeline is presented allowing the search for optimal combinations among an arbitrary number of drugs while also taking experimental variability into account. The TI optimized is the cytotoxicity difference (in vitro) between a target model and an adverse side effect model. Focusing on colorectal carcinoma (CRC), the pipeline provided several combinations that are effective in six different CRC models with limited cytotoxicity in normal cell models. Herein we describe the identification of the combination (Trichostatin A, Afungin, 17-AAG) and present results from subsequent characterisations, including efficacy in primary cultures of tumour cells from CRC patients. We hypothesize that its effect derives from potentiation of the proteotoxic action of 17-AAG by Trichostatin A and Afungin. The discovered drug combinations against CRC are significant findings themselves and also indicate that the proposed strategy has great potential for suggesting drug combination treatments suitable for other cancer types as well as for other complex diseases. Twit Text FOAVip In vitro discovery of promising anti-cancer drug combinations using iterative maximisation of a therapeutic index ????Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=26392291 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26392291 #FOAvip English Wikipedia <ref>{{Cite pmid|26392291 }}</ref> In vitro discovery of promising anti-cancer drug combinations using iterative maximisation of a therapeutic index #MMPMID26392291 Kashif M ; Andersson C ; Hassan S ; Karlsson H ; Senkowski W ; Fryknäs M ; Nygren P ; Larsson R ; Gustafsson MG Sci Rep 2015[Sep]; 5 (ä): 14118 PMID26392291 show ga In vitro-based search for promising anti-cancer drug combinations may provide important leads to improved cancer therapies. Currently there are no integrated computational-experimental methods specifically designed to search for combinations, maximizing a predefined therapeutic index (TI) defined in terms of appropriate model systems. Here, such a pipeline is presented allowing the search for optimal combinations among an arbitrary number of drugs while also taking experimental variability into account. The TI optimized is the cytotoxicity difference (in vitro) between a target model and an adverse side effect model. Focusing on colorectal carcinoma (CRC), the pipeline provided several combinations that are effective in six different CRC models with limited cytotoxicity in normal cell models. Herein we describe the identification of the combination (Trichostatin A, Afungin, 17-AAG) and present results from subsequent characterisations, including efficacy in primary cultures of tumour cells from CRC patients. We hypothesize that its effect derives from potentiation of the proteotoxic action of 17-AAG by Trichostatin A and Afungin. The discovered drug combinations against CRC are significant findings themselves and also indicate that the proposed strategy has great potential for suggesting drug combination treatments suitable for other cancer types as well as for other complex diseases. |*Drug Resistance, Neoplasm [MESH] |Algorithms [MESH] |Antineoplastic Agents/*pharmacology [MESH] |Automation, Laboratory [MESH] |Cell Line, Tumor [MESH] |Cluster Analysis [MESH] |Colorectal Neoplasms/drug therapy/genetics/metabolism [MESH] |Drug Screening Assays, Antitumor/*methods [MESH] |Drug Therapy, Combination [MESH] |Gene Expression Regulation, Neoplastic/drug effects [MESH] |Humans [MESH] |In Vitro Techniques [MESH] |Spheroids, Cellular [MESH]In vitro discovery of promising anti-cancer drug combinations using it(epmc).pdf DeepDyve Pubget Overpricing