A Balanced Tissue Composition Reveals New Metabolic and Gene Expression Markers in Prostate Cancer.

ABSTRACT: Molecular analysis of patient tissue samples is essential to characterize the in vivo variability in human cancers which are not accessible in cell-lines or animal models. This applies particularly to studies of tumor metabolism. The challenge is, however, the complex mixture of various tissue types within each sample, such as benign epithelium, stroma and cancer tissue, which can introduce systematic biases when cancers are compared to normal samples. In this study we apply a simple strategy to remove such biases using sample selections where the average content of stroma tissue is balanced between the sample groups. The strategy is applied to a prostate cancer patient cohort where data from MR spectroscopy and gene expression have been collected from and integrated on the exact same tiss

SUBMITTER: Tessem MB 

PROVIDER: S-EPMC4839647 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature