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10.1016/j.celrep.2016.10.057

http://scihub22266oqcxt.onion/10.1016/j.celrep.2016.10.057
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C5115176!5115176!27851969
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suck abstract from ncbi


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pmid27851969      Cell+Rep 2016 ; 17 (8): 2075-86
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  • Epigenomic deconvolution of breast tumors reveals metabolic coupling between constituent cell types #MMPMID27851969
  • Onuchic V; Hartmaier RJ; Boone DN; Samuels ML; Patel RY; White WM; Garovic VD; Oesterreich S; Roth ME; Lee AV; Milosavljevic A
  • Cell Rep 2016[Nov]; 17 (8): 2075-86 PMID27851969show ga
  • Cancer progression depends on both cell-intrinsic processes and interactions between different cell types. However, large scale assessment of cell type composition and molecular profiles of individual cell types within tumors remains challenging. To address this, we developed Epigenomic Deconvolution (EDec), an in silico method that infers cell type composition of complex tissues as well as DNA methylation and gene transcription profiles of constituent cell types. By applying EDec to The Cancer Genome Atlas (TCGA) breast tumors we detect changes in immune cell infiltration related to patient prognosis, and a striking change in stromal fibroblast to adipocyte ratio across breast cancer subtypes. We further show that a less adipose stroma tends to display lower levels of mitochondrial activity and to be associated with cancerous cells with higher levels of oxidative metabolism. These findings highlight the role of stromal composition in the metabolic coupling between distinct cell types within tumors.
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