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10.2147/OTT.S95129 http://scihub22266oqcxt.onion/10.2147/OTT.S95129 C4881735!4881735!27284247     free     free     free Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 251.2 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\27284247.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Onco+Targets+Ther 2016 ; 9 (ä): 2975-86 Nephropedia Template TP {{tp|p=27284247|t=2016. Integrated miRNA?risk gene?pathway pair network analysis provides prognostic biomarkers for gastric cancer |pdf=|usr=}}{{27284247}} gab.com Text Integrated miRNA risk gene pathway pair network analysis provides prognostic biomarkers for gastric cancer JO: Onco Targets Ther http://www.kidney.de/pget.php?&tw=1&pmid=27284247 #FOAvip Purpose: This study aimed to identify molecular prognostic biomarkers for gastric cancer. Methods: mRNA and miRNA expression profiles of eligible gastric cancer and control samples were downloaded from Gene Expression Omnibus to screen the differentially expressed genes (DEGs) and differentially expressed miRNAs (DEmiRs), using MetaDE and limma packages, respectively. Target genes of the DEmiRs were also collected from both predictive and experimentally validated target databases of miRNAs. The overlapping genes between selected targets and DEGs were identified as risk genes, followed by functional enrichment analysis. Human pathways and their corresponding genes were downloaded from the Kyoto Encyclopedia of Genes and Genomes (KEGG) database for the expression analysis of each pathway in gastric cancer samples. Next, co-pathway pairs were selected according to the Pearson correlation coefficients. Finally, the co-pathway pairs, miRNA?target pairs, and risk gene?pathway pairs were merged into a complex interaction network, the most important nodes (miRNAs/target genes/co-pathway pairs) of which were selected by calculating their degrees. Results: Totally, 1,260 DEGs and 144 DEmiRs were identified. There were 336 risk genes found in the 9,572 miRNA?target pairs. Judging from the pathway expression files, 45 co-pathway pairs were screened out. There were 1,389 interactive pairs and 480 nodes in the integrated network. Among all nodes in the network, focal adhesion/extracellular matrix?receptor interaction pathways, CALM2, miR-19b, and miR-181b were the hub nodes with higher degrees. Conclusion: CALM2, hsa-miR-19b, and hsa-miR-181b might be used as potential prognostic targets for gastric cancer. Twit Text FOAVip Integrated miRNA risk gene pathway pair network analysis provides prognostic biomarkers for gastric cancer ????Onco Targets Ther http://www.kidney.de/pget.php?&tw=1&pmid=27284247 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=27284247 #FOAvip English Wikipedia <ref>{{Cite pmid|27284247}}</ref> Integrated miRNA?risk gene?pathway pair network analysis provides prognostic biomarkers for gastric cancer #MMPMID27284247 Cai H; Xu J; Han Y; Lu Z; Han T; Ding Y; Ma L Onco Targets Ther 2016[]; 9 (ä): 2975-86 PMID27284247show ga Purpose: This study aimed to identify molecular prognostic biomarkers for gastric cancer. Methods: mRNA and miRNA expression profiles of eligible gastric cancer and control samples were downloaded from Gene Expression Omnibus to screen the differentially expressed genes (DEGs) and differentially expressed miRNAs (DEmiRs), using MetaDE and limma packages, respectively. Target genes of the DEmiRs were also collected from both predictive and experimentally validated target databases of miRNAs. The overlapping genes between selected targets and DEGs were identified as risk genes, followed by functional enrichment analysis. Human pathways and their corresponding genes were downloaded from the Kyoto Encyclopedia of Genes and Genomes (KEGG) database for the expression analysis of each pathway in gastric cancer samples. Next, co-pathway pairs were selected according to the Pearson correlation coefficients. Finally, the co-pathway pairs, miRNA?target pairs, and risk gene?pathway pairs were merged into a complex interaction network, the most important nodes (miRNAs/target genes/co-pathway pairs) of which were selected by calculating their degrees. Results: Totally, 1,260 DEGs and 144 DEmiRs were identified. There were 336 risk genes found in the 9,572 miRNA?target pairs. Judging from the pathway expression files, 45 co-pathway pairs were screened out. There were 1,389 interactive pairs and 480 nodes in the integrated network. Among all nodes in the network, focal adhesion/extracellular matrix?receptor interaction pathways, CALM2, miR-19b, and miR-181b were the hub nodes with higher degrees. Conclusion: CALM2, hsa-miR-19b, and hsa-miR-181b might be used as potential prognostic targets for gastric cancer. äIntegrated miRNA?risk gene?pathway pair network analysis provides prog(epmc).pdf DeepDyve Pubget Overpricing