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10.15252/emmm.201404873 http://scihub22266oqcxt.onion/10.15252/emmm.201404873 C4568950!4568950!26253081     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=26253081&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 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       EMBO+Mol+Med 2015 ; 7 (9): 1166-78 Nephropedia Template TP {{tp|p=26253081|t=2015. Prediction of colorectal cancer diagnosis based on circulating plasma proteins |pdf=|usr=}}{{26253081}} gab.com Text Prediction of colorectal cancer diagnosis based on circulating plasma proteins JO: EMBO Mol Med http://www.kidney.de/pget.php?&tw=1&pmid=26253081 #FOAvip Non-invasive detection of colorectal cancer with blood-based markers is a critical clinical need. Here we describe a phased mass spectrometry-based approach for the discovery, screening, and validation of circulating protein biomarkers with diagnostic value. Initially, we profiled human primary tumor tissue epithelia and characterized about 300 secreted and cell surface candidate glycoproteins. These candidates were then screened in patient systemic circulation to identify detectable candidates in blood plasma. An 88-plex targeting method was established to systematically monitor these proteins in two large and independent cohorts of plasma samples, which generated quantitative clinical datasets at an unprecedented scale. The data were deployed to develop and evaluate a five-protein biomarker signature for colorectal cancer detection. Twit Text FOAVip Prediction of colorectal cancer diagnosis based on circulating plasma proteins ????EMBO Mol Med http://www.kidney.de/pget.php?&tw=1&pmid=26253081 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26253081 #FOAvip English Wikipedia <ref>{{Cite pmid|26253081}}</ref> Prediction of colorectal cancer diagnosis based on circulating plasma proteins #MMPMID26253081 Surinova S; Choi M; Tao S; Schüffler PJ; Chang CY; Clough T; Vyslou?il K; Khoylou M; Srovnal J; Liu Y; Matondo M; Hüttenhain R; Weisser H; Buhmann JM; Hajdúch M; Brenner H; Vitek O; Aebersold R EMBO Mol Med 2015[Sep]; 7 (9): 1166-78 PMID26253081show ga Non-invasive detection of colorectal cancer with blood-based markers is a critical clinical need. Here we describe a phased mass spectrometry-based approach for the discovery, screening, and validation of circulating protein biomarkers with diagnostic value. Initially, we profiled human primary tumor tissue epithelia and characterized about 300 secreted and cell surface candidate glycoproteins. These candidates were then screened in patient systemic circulation to identify detectable candidates in blood plasma. An 88-plex targeting method was established to systematically monitor these proteins in two large and independent cohorts of plasma samples, which generated quantitative clinical datasets at an unprecedented scale. The data were deployed to develop and evaluate a five-protein biomarker signature for colorectal cancer detection. äPrediction of colorectal cancer diagnosis based on circulating plasma (epmc).pdf DeepDyve Pubget Overpricing