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10.18632/oncotarget.14303 http://scihub22266oqcxt.onion/10.18632/oncotarget.14303 C5351671!5351671!28036280     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Oncotarget 2017 ; 8 (4): 6809-18 Nephropedia Template TP {{tp|p=28036280|t=2017. Pan-organ transcriptome variation across 21 cancer types |pdf=|usr=}}{{28036280}} gab.com Text Pan-organ transcriptome variation across 21 cancer types JO: Oncotarget http://www.kidney.de/pget.php?&tw=1&pmid=28036280 #FOAvip It is widely accepted that some messenger RNAs are evolutionarily conserved across species, both in sequence and tissue-expression specificity. To date, however, little effort has been made to exploit the transcriptome divergence between cancer and adjacent normal tissue at the pan-organ level. In this work, a transcriptome sequencing dataset from 675 normal-tumor pairs, representing 21 solid organs in The Cancer Genome Atlas, is used to evaluate expression evolution. The results show that in most cancer types, gene expression divergence and organ-specificity are reduced in cancer tissue compared to adjacent normal tissue. Furthermore, we observe that all cancers share cell cycle dysregulation through interrogating differentially expressed protein coding genes. Meanwhile, weighted correlation network analysis is used to detect of the gene module structure variation between cancer and adjacent normal tissue. And modules consisting of tightly co-regulated genes in cancer change substantially compared with those in adjacent normal tissue. We thus assume that the destruction of a coordinated regulatory network might result in tumorigenesis and tumor progression. Our results provide new insights into the complex cancer biology and shed light on the mysterious regulation mode for cancer. Twit Text FOAVip Pan-organ transcriptome variation across 21 cancer types ????Oncotarget http://www.kidney.de/pget.php?&tw=1&pmid=28036280 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28036280 #FOAvip English Wikipedia <ref>{{Cite pmid|28036280}}</ref> Pan-organ transcriptome variation across 21 cancer types #MMPMID28036280 Hu W; Yang Y; Li X; Zheng S Oncotarget 2017[Jan]; 8 (4): 6809-18 PMID28036280show ga It is widely accepted that some messenger RNAs are evolutionarily conserved across species, both in sequence and tissue-expression specificity. To date, however, little effort has been made to exploit the transcriptome divergence between cancer and adjacent normal tissue at the pan-organ level. In this work, a transcriptome sequencing dataset from 675 normal-tumor pairs, representing 21 solid organs in The Cancer Genome Atlas, is used to evaluate expression evolution. The results show that in most cancer types, gene expression divergence and organ-specificity are reduced in cancer tissue compared to adjacent normal tissue. Furthermore, we observe that all cancers share cell cycle dysregulation through interrogating differentially expressed protein coding genes. Meanwhile, weighted correlation network analysis is used to detect of the gene module structure variation between cancer and adjacent normal tissue. And modules consisting of tightly co-regulated genes in cancer change substantially compared with those in adjacent normal tissue. We thus assume that the destruction of a coordinated regulatory network might result in tumorigenesis and tumor progression. Our results provide new insights into the complex cancer biology and shed light on the mysterious regulation mode for cancer. äPan-organ transcriptome variation across 21 cancer types (epmc).pdf DeepDyve Pubget Overpricing