Background: RNA sequencing (RNA-Seq) allows the characterization of a global transcriptomic signature in a least-biased fashion, but few studies have applied this method to investigate the pathophysiology of CRS.
Methods: We collected mucosal tissue samples from 6 CRS without nasal polyps (CRSsNP), 6 CRS with nasal polyps (CRSwNP), and 6 control patients. Additional matched polyp samples were collected from the 6 CRSwNP patients.
The majority of gastric cancer patients are diagnosed with late-stage disease, for which distinct molecular subtypes have been identified that are potentially amenable to targeted therapies. However, there exists no molecular classification system with prognostic power for early-stage gastric cancer (EGC) because the molecular events promoting gastric cancer initiation remain ill-defined. miRNA microarrays were performed on gastric tissue from the preclinical EGC mouse model, prior to tumor initiation.
View Article and Find Full Text PDFDeep-sequencing reveals extensive variation in the sequence of endogenously expressed microRNAs (termed 'isomiRs') in human cell lines and tissues, especially in relation to the 3' end. From the immunoprecipitation of the microRNA-binding protein Argonaute and the sequencing of associated small RNAs, we observe extensive 3'-isomiR variation, including for miR-222 where the majority of endogenously expressed miR-222 is extended by 1-5 nt compared to the canonical sequence. We demonstrate this 3' heterogeneity has dramatic implications for the phenotype of miR-222 transfected cells, with longer isoforms promoting apoptosis in a size (but not 3' sequence)-dependent manner.
View Article and Find Full Text PDFSKBR3-cells, characterized by ERBB2/RARA co-amplification, represent a subgroup of HER2+ breast-cancers sensitive to all-trans retinoic acid (ATRA) and Lapatinib. In this model, the two agents alone or in combination modulate the expression of 174 microRNAs (miRs). These miRs and predicted target-transcripts are organized in four interconnected modules (Module-1 to -4).
View Article and Find Full Text PDFPurpose: Esophageal cancer has a high mortality rate, and its multimodality treatment is often associated with significant rates of severe toxicity. Effort is needed to uncover ways to maximize effectiveness of therapy through identification of predictive markers of response and toxicity. As such, the aim of this study was to identify genes predictive of chemoradiotherapy-induced gastrointestinal toxicity using an immune pathway-targeted approach.
View Article and Find Full Text PDF