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10.1186/s13059-016-0956-6 http://scihub22266oqcxt.onion/10.1186/s13059-016-0956-6 C4877997!4877997 !27215396     free     free     free Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 267.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 267.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 267.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 267.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 267.2 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\27215396 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Genome+Biol 2016 ; 17 (1 ): 108 Nephropedia Template TP {{tp|p=27215396 |t=2016. A transcriptome-based global map of signaling pathways in the ovarian cancer microenvironment associated with clinical outcome |pdf=|usr=}}{{27215396 }} gab.com Text A transcriptome-based global map of signaling pathways in the ovarian cancer microenvironment associated with clinical outcome JO: Genome Biol http://www.kidney.de/pget.php?&tw=1&pmid=27215396 #FOAvip BACKGROUND: Soluble protein and lipid mediators play essential roles in the tumor environment, but their cellular origins, targets, and clinical relevance are only partially known. We have addressed this question for the most abundant cell types in human ovarian carcinoma ascites, namely tumor cells and tumor-associated macrophages. RESULTS: Transcriptome-derived datasets were adjusted for errors caused by contaminating cell types by an algorithm using expression data derived from pure cell types as references. These data were utilized to construct a network of autocrine and paracrine signaling pathways comprising 358 common and 58 patient-specific signaling mediators and their receptors. RNA sequencing based predictions were confirmed for several proteins and lipid mediators. Published expression microarray results for 1018 patients were used to establish clinical correlations for a number of components with distinct cellular origins and target cells. Clear associations with early relapse were found for STAT3-inducing cytokines, specific components of WNT and fibroblast growth factor signaling, ephrin and semaphorin axon guidance molecules, and TGF?/BMP-triggered pathways. An association with early relapse was also observed for secretory macrophage-derived phospholipase PLA2G7, its product arachidonic acid (AA) and signaling pathways controlled by the AA metabolites PGE2, PGI2, and LTB4. By contrast, the genes encoding norrin and its receptor frizzled 4, both selectively expressed by cancer cells and previously not linked to tumor suppression, show a striking association with a favorable clinical course. CONCLUSIONS: We have established a signaling network operating in the ovarian cancer microenvironment with previously unidentified pathways and have defined clinically relevant components within this network. Twit Text FOAVip A transcriptome-based global map of signaling pathways in the ovarian cancer microenvironment associated with clinical outcome ????Genome Biol http://www.kidney.de/pget.php?&tw=1&pmid=27215396 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=27215396 #FOAvip English Wikipedia <ref>{{Cite pmid|27215396 }}</ref> A transcriptome-based global map of signaling pathways in the ovarian cancer microenvironment associated with clinical outcome #MMPMID27215396 Reinartz S ; Finkernagel F ; Adhikary T ; Rohnalter V ; Schumann T ; Schober Y ; Nockher WA ; Nist A ; Stiewe T ; Jansen JM ; Wagner U ; Müller-Brüsselbach S ; Müller R Genome Biol 2016[May]; 17 (1 ): 108 PMID27215396 show ga BACKGROUND: Soluble protein and lipid mediators play essential roles in the tumor environment, but their cellular origins, targets, and clinical relevance are only partially known. We have addressed this question for the most abundant cell types in human ovarian carcinoma ascites, namely tumor cells and tumor-associated macrophages. RESULTS: Transcriptome-derived datasets were adjusted for errors caused by contaminating cell types by an algorithm using expression data derived from pure cell types as references. These data were utilized to construct a network of autocrine and paracrine signaling pathways comprising 358 common and 58 patient-specific signaling mediators and their receptors. RNA sequencing based predictions were confirmed for several proteins and lipid mediators. Published expression microarray results for 1018 patients were used to establish clinical correlations for a number of components with distinct cellular origins and target cells. Clear associations with early relapse were found for STAT3-inducing cytokines, specific components of WNT and fibroblast growth factor signaling, ephrin and semaphorin axon guidance molecules, and TGF?/BMP-triggered pathways. An association with early relapse was also observed for secretory macrophage-derived phospholipase PLA2G7, its product arachidonic acid (AA) and signaling pathways controlled by the AA metabolites PGE2, PGI2, and LTB4. By contrast, the genes encoding norrin and its receptor frizzled 4, both selectively expressed by cancer cells and previously not linked to tumor suppression, show a striking association with a favorable clinical course. CONCLUSIONS: We have established a signaling network operating in the ovarian cancer microenvironment with previously unidentified pathways and have defined clinically relevant components within this network. |Female [MESH] |Gene Expression Regulation, Neoplastic/*genetics [MESH] |Gene Regulatory Networks [MESH] |Humans [MESH] |Lipid Metabolism/genetics [MESH] |Neoplasm Proteins/biosynthesis/genetics [MESH] |Ovarian Neoplasms/*genetics/pathology [MESH] |STAT3 Transcription Factor/biosynthesis [MESH] |Signal Transduction [MESH] |Transcriptome/*genetics [MESH] |Transforming Growth Factor beta/biosynthesis [MESH]A transcriptome-based global map of signaling pathways in the ovarian (epmc).pdf DeepDyve Pubget Overpricing