Neural network analyses of circulating miRNAs have shown potential as non-invasive screening tests for ovarian cancer. A clinically useful test would detect occult disease when complete cytoreduction is most feasible. Here we used murine xenografts to sensitize a neural network model to detect low volume disease and applied the model to sera from 75 early-stage ovarian cancer cases age-matched to 200 benign adnexal masses or healthy controls.
View Article and Find Full Text PDFBackground: Multi-gene expression assays are an attractive tool in revealing complex regulatory mechanisms in living organisms. Normalization is an indispensable step of data analysis in all those studies, since it removes unwanted, non-biological variability from data. In targeted qPCR assays it is typically performed with respect to prespecified reference genes, but the lack of robust strategy of their selection is reported in literature, especially in studies concerning circulating microRNAs (miRNA).
View Article and Find Full Text PDFBackground: The consensus on how to choose a reference gene for serum or plasma miRNA expression qPCR studies has not been reached and none of the potential candidates have yet been convincingly validated. We proposed a new in silico approach of finding a suitable reference for human, circulating miRNAs and identified a new set of endogenous reference miRNA based on miRNA profiling experiments from Gene Expression Omnibus. We used 3 known normalization algorithms (NormFinder, BestKeeper, GeNorm) to calculate a new normalization score.
View Article and Find Full Text PDFChronic rhinosinusitis with nasal polyps (CRSwNP) is a disease with still not enough known pathogenesis despite the development of genetics, immunological and microbiological research. The number of patients with CRS has been constantly growing. The coexistence of CRS, bronchial asthma and aspirin intolerance (aspirin triad) is an adverse prognostic factor with higher risk of recurrences.
View Article and Find Full Text PDFObjective: We aimed to compare glycemic control and variability parameters obtained from paired records of real-time continuous glucose monitoring (RT-CGM) and flash glucose monitoring (FGM).
Methods: Ten Polish boys and 11 girls aged 15.3 ± 2.