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10.18632/oncotarget.8017 http://scihub22266oqcxt.onion/10.18632/oncotarget.8017 C5008344!5008344 !26980737     free     free     free Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 265.2 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\26980737 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Oncotarget 2016 ; 7 (16 ): 22064-76 Nephropedia Template TP {{tp|p=26980737 |t=2016. Mutation based treatment recommendations from next generation sequencing data: a comparison of web tools |pdf=|usr=}}{{26980737 }} gab.com Text Mutation based treatment recommendations from next generation sequencing data: a comparison of web tools JO: Oncotarget http://www.kidney.de/pget.php?&tw=1&pmid=26980737 #FOAvip Interpretation of complex cancer genome data, generated by tumor target profiling platforms, is key for the success of personalized cancer therapy. How to draw therapeutic conclusions from tumor profiling results is not standardized and may vary among commercial and academically-affiliated recommendation tools. We performed targeted sequencing of 315 genes from 75 metastatic breast cancer biopsies using the FoundationOne assay. Results were run through 4 different web tools including the Drug-Gene Interaction Database (DGidb), My Cancer Genome (MCG), Personalized Cancer Therapy (PCT), and cBioPortal, for drug and clinical trial recommendations. These recommendations were compared amongst each other and to those provided by FoundationOne. The identification of a gene as targetable varied across the different recommendation sources. Only 33% of cases had 4 or more sources recommend the same drug for at least one of the usually several altered genes found in tumor biopsies. These results indicate further development and standardization of broadly applicable software tools that assist in our therapeutic interpretation of genomic data is needed. Existing algorithms for data acquisition, integration and interpretation will likely need to incorporate artificial intelligence tools to improve both content and real-time status. Twit Text FOAVip Mutation based treatment recommendations from next generation sequencing data: a comparison of web tools ????Oncotarget http://www.kidney.de/pget.php?&tw=1&pmid=26980737 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26980737 #FOAvip English Wikipedia <ref>{{Cite pmid|26980737 }}</ref> Mutation based treatment recommendations from next generation sequencing data: a comparison of web tools #MMPMID26980737 Patel JM ; Knopf J ; Reiner E ; Bossuyt V ; Epstein L ; DiGiovanna M ; Chung G ; Silber A ; Sanft T ; Hofstatter E ; Mougalian S ; Abu-Khalaf M ; Platt J ; Shi W ; Gershkovich P ; Hatzis C ; Pusztai L Oncotarget 2016[Apr]; 7 (16 ): 22064-76 PMID26980737 show ga Interpretation of complex cancer genome data, generated by tumor target profiling platforms, is key for the success of personalized cancer therapy. How to draw therapeutic conclusions from tumor profiling results is not standardized and may vary among commercial and academically-affiliated recommendation tools. We performed targeted sequencing of 315 genes from 75 metastatic breast cancer biopsies using the FoundationOne assay. Results were run through 4 different web tools including the Drug-Gene Interaction Database (DGidb), My Cancer Genome (MCG), Personalized Cancer Therapy (PCT), and cBioPortal, for drug and clinical trial recommendations. These recommendations were compared amongst each other and to those provided by FoundationOne. The identification of a gene as targetable varied across the different recommendation sources. Only 33% of cases had 4 or more sources recommend the same drug for at least one of the usually several altered genes found in tumor biopsies. These results indicate further development and standardization of broadly applicable software tools that assist in our therapeutic interpretation of genomic data is needed. Existing algorithms for data acquisition, integration and interpretation will likely need to incorporate artificial intelligence tools to improve both content and real-time status. |*Internet [MESH] |Breast Neoplasms/*drug therapy/*genetics [MESH] |Drug Therapy, Computer-Assisted/*methods/*standards [MESH] |Female [MESH] |High-Throughput Nucleotide Sequencing [MESH] |Humans [MESH] |Molecular Targeted Therapy [MESH] |Precision Medicine/methods/standards [MESH]Mutation based treatment recommendations from next generation sequenci(epmc).pdf DeepDyve Pubget Overpricing