Tiffany R. Baker

TL;DR: A global pattern of differential CpG island methylation that contributes to the transcriptome landscape of ER+ and ER− breast cancer cells and tumors is revealed.

TL;DR: The finding that some fusion transcripts are tumor subtype-specific suggests that these entities may be critical determinants in the etiology of breast cancer subtypes, useful as biomarkers for tumor stratification, or exploitable as cancer-specific therapeutic targets.

TL;DR: This study is the first to integrate genomic features from RNA-Seq data from NSCLC and to define a first draft genomic landscape model that is unique to tumors with oncogenic KRAS mutations.

TL;DR: The NuGEN provides an alternative for limited or degraded RNA but it has limitations for some RNA-seq applications and different library preparations can have significant impacts on downstream analysis and interpretation ofRNA-seq data.

TL;DR: Genomic features from a test set of primary breast tumors are used to build an integrated transcriptome landscape model that makes relevant hypothetical predictions about the biological and/or clinical behavior of HER2-positive breast cancer and indicate that this subtype has potential for predicting outcome and for identifying novel potential therapeutic strategies.