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10.1016/j.celrep.2018.03.077 http://scihub22266oqcxt.onion/10.1016/j.celrep.2018.03.077 C5916795!5916795!29617665     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       Cell+Rep 2018 ; 23 (1): 255-269.e4 Nephropedia Template TP {{tp|p=29617665|t=2018. Molecular Characterization and Clinical Relevance of Metabolic Expression Subtypes in Human Cancers |pdf=|usr=}}{{29617665}} gab.com Text Molecular Characterization and Clinical Relevance of Metabolic Expression Subtypes in Human Cancers JO: Cell Rep http://www.kidney.de/pget.php?&tw=1&pmid=29617665 #FOAvip Metabolic reprogramming provides critical information for clinical oncology. Using molecular data of 9,125 patient samples from The Cancer Genome Atlas, we identified tumor subtypes in 33 cancer types based on mRNA expression patterns of seven major metabolic processes and assessed their clinical relevance. Our metabolic expression subtypes correlated extensively with clinical outcome: subtypes with upregulated carbohydrate, nucleotide, and vitamin/cofactor metabolism most consistently correlated with worse prognosis, whereas subtypes with upregulated lipid metabolism showed the opposite. Metabolic subtypes correlated with diverse somatic drivers but exhibited effects convergent on cancer hallmark pathways and were modulated by highly recurrent master regulators across cancer types. As a proof-of-concept example, we demonstrated that knockdown of SNAI1 or RUNX1?master regulators of carbohydrate metabolic subtypes?modulates metabolic activity and drug sensitivity. Our study provides a system-level view of metabolic heterogeneity within and across cancer types and identifies pathway cross-talk, suggesting related prognostic, therapeutic, and predictive utility. Twit Text FOAVip Molecular Characterization and Clinical Relevance of Metabolic Expression Subtypes in Human Cancers ????Cell Rep http://www.kidney.de/pget.php?&tw=1&pmid=29617665 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=29617665 #FOAvip English Wikipedia <ref>{{Cite pmid|29617665}}</ref> Molecular Characterization and Clinical Relevance of Metabolic Expression Subtypes in Human Cancers #MMPMID29617665 Peng X; Chen Z; Farshidfar F; Xu X; Lorenzi PL; Wang Y; Cheng F; Tan L; Mojumdar K; Du D; Ge Z; Li J; Thomas GV; Birsoy K; Liu L; Zhang H; Zhao Z; Marchand C; Weinstein JN; Bathe OF; Liang H Cell Rep 2018[Apr]; 23 (1): 255-269.e4 PMID29617665show ga Metabolic reprogramming provides critical information for clinical oncology. Using molecular data of 9,125 patient samples from The Cancer Genome Atlas, we identified tumor subtypes in 33 cancer types based on mRNA expression patterns of seven major metabolic processes and assessed their clinical relevance. Our metabolic expression subtypes correlated extensively with clinical outcome: subtypes with upregulated carbohydrate, nucleotide, and vitamin/cofactor metabolism most consistently correlated with worse prognosis, whereas subtypes with upregulated lipid metabolism showed the opposite. Metabolic subtypes correlated with diverse somatic drivers but exhibited effects convergent on cancer hallmark pathways and were modulated by highly recurrent master regulators across cancer types. As a proof-of-concept example, we demonstrated that knockdown of SNAI1 or RUNX1?master regulators of carbohydrate metabolic subtypes?modulates metabolic activity and drug sensitivity. Our study provides a system-level view of metabolic heterogeneity within and across cancer types and identifies pathway cross-talk, suggesting related prognostic, therapeutic, and predictive utility. äMolecular Characterization and Clinical Relevance of Metabolic Express(epmc).pdf DeepDyve Pubget Overpricing