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10.1016/j.coisb.2017.01.006 http://scihub22266oqcxt.onion/10.1016/j.coisb.2017.01.006 C5628760!5628760!28989987     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       Curr+Opin+Syst+Biol 2017 ; 2 (ä): 67-73 Nephropedia Template TP {{tp|p=28989987|t=2017. Towards a better cancer precision medicine: systems biology meets immunotherapy |pdf=|usr=}}{{28989987}} gab.com Text Towards a better cancer precision medicine: systems biology meets immunotherapy JO: Curr Opin Syst Biol http://www.kidney.de/pget.php?&tw=1&pmid=28989987 #FOAvip Systems biology approaches that embrace the complexity of cancer are starting to gain traction in the development of new anticancer therapeutic strategies. In this review we describe how genomic analyses are helping improve our understanding of response to immunotherapy, a front-runner in cancer treatment. We argue that systems-level approaches are needed to help understand the concerted impact of tumor-specific and immune-specific molecular features on clinical outcomes, predict responders and unravel the complexity of tumor ecosystems. This integrated approach will propel immunotherapy into the exciting world of precision medicine. Twit Text FOAVip Towards a better cancer precision medicine: systems biology meets immunotherapy ????Curr Opin Syst Biol http://www.kidney.de/pget.php?&tw=1&pmid=28989987 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28989987 #FOAvip English Wikipedia <ref>{{Cite pmid|28989987}}</ref> Towards a better cancer precision medicine: systems biology meets immunotherapy #MMPMID28989987 Bhinder B; Elemento O Curr Opin Syst Biol 2017[Apr]; 2 (ä): 67-73 PMID28989987show ga Systems biology approaches that embrace the complexity of cancer are starting to gain traction in the development of new anticancer therapeutic strategies. In this review we describe how genomic analyses are helping improve our understanding of response to immunotherapy, a front-runner in cancer treatment. We argue that systems-level approaches are needed to help understand the concerted impact of tumor-specific and immune-specific molecular features on clinical outcomes, predict responders and unravel the complexity of tumor ecosystems. This integrated approach will propel immunotherapy into the exciting world of precision medicine. äTowards a better cancer precision medicine: systems biology meets immu(epmc).pdf DeepDyve Pubget Overpricing