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10.1016/j.surg.2014.08.008 http://scihub22266oqcxt.onion/10.1016/j.surg.2014.08.008 C4254437!4254437!25456909     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 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Surgery 2014 ; 156 (6): 1359-66 Nephropedia Template TP {{tp|p=25456909|t=2014. A Practical Method to Determine the Site of Unknown Primary in Metastatic Neuroendocrine Tumors |pdf=|usr=}}{{25456909}} gab.com Text A Practical Method to Determine the Site of Unknown Primary in Metastatic Neuroendocrine Tumors JO: Surgery http://www.kidney.de/pget.php?&tw=1&pmid=25456909 #FOAvip Introduction: The primary tumor site is unknown prior to treatment in approximately 20% of small bowel (SBNET) and pancreatic (PNET) neuroendocrine tumors despite extensive workup. It can be difficult to discern a PNET from an SBNET on hematoxylin and eosin (H&E) stains, and thus more focused diagnostic tests are required. Immunohistochemistry (IHC) and gene expression profiling are two methods used to identify the tissue of origin from biopsied metastases. Methods: Tissue microarrays were created from surgical specimens and stained with up to 7 antibodies used in the NET-specific IHC algorithm. Expression of 4 genes for differentiating between PNETs and SBNETs was determined by qPCR and then used in a previously validated gene expression classifier (GEC) algorithm designed to determine the primary site from gastrointestinal (GI) NET metastases. Results: The accuracy of the IHC algorithm in identifying the primary tumor site from a set of 37 metastases was 89.1%, with only 1 incorrect call. Three other samples were indeterminate due to pan-negative staining. The GEC?s accuracy in a set of 136 metastases was 94.1%. It identified the primary tumor site in all cases where IHC failed. Conclusion: Performing IHC, followed by GEC for indeterminate cases, accurately identifies the primary site in SBNET and PNET metastases in virtually all patients. Twit Text FOAVip A Practical Method to Determine the Site of Unknown Primary in Metastatic Neuroendocrine Tumors ????Surgery http://www.kidney.de/pget.php?&tw=1&pmid=25456909 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=25456909 #FOAvip English Wikipedia <ref>{{Cite pmid|25456909}}</ref> A Practical Method to Determine the Site of Unknown Primary in Metastatic Neuroendocrine Tumors #MMPMID25456909 Maxwell JE; Sherman SK; Stashek KM; O?Dorisio TM; Bellizzi AM; Howe JR Surgery 2014[Dec]; 156 (6): 1359-66 PMID25456909show ga Introduction: The primary tumor site is unknown prior to treatment in approximately 20% of small bowel (SBNET) and pancreatic (PNET) neuroendocrine tumors despite extensive workup. It can be difficult to discern a PNET from an SBNET on hematoxylin and eosin (H&E) stains, and thus more focused diagnostic tests are required. Immunohistochemistry (IHC) and gene expression profiling are two methods used to identify the tissue of origin from biopsied metastases. Methods: Tissue microarrays were created from surgical specimens and stained with up to 7 antibodies used in the NET-specific IHC algorithm. Expression of 4 genes for differentiating between PNETs and SBNETs was determined by qPCR and then used in a previously validated gene expression classifier (GEC) algorithm designed to determine the primary site from gastrointestinal (GI) NET metastases. Results: The accuracy of the IHC algorithm in identifying the primary tumor site from a set of 37 metastases was 89.1%, with only 1 incorrect call. Three other samples were indeterminate due to pan-negative staining. The GEC?s accuracy in a set of 136 metastases was 94.1%. It identified the primary tumor site in all cases where IHC failed. Conclusion: Performing IHC, followed by GEC for indeterminate cases, accurately identifies the primary site in SBNET and PNET metastases in virtually all patients. äA Practical Method to Determine the Site of Unknown Primary in Metasta(epmc).pdf DeepDyve Pubget Overpricing