The prognostication of head and neck squamous cell carcinoma (HNSCC) is largely based upon the tumor size and location and the presence of lymph node metastases. Here we show that gene expression patterns from 60 HNSCC samples assayed on cDNA microarrays allowed categorization of these tumors into four distinct subtypes. These subtypes showed statistically significant differences in recurrence-free survival and included a subtype with a possible EGFR-pathway signature, a mesenchymal-enriched subtype, a normal epithelium-like subtype, and a subtype with high levels of antioxidant enzymes. Supervised analyses to predict lymph node metastasis status were approximately 80% accurate when tumor subsite and pathological node status were considered simultaneously. This work represents an important step toward the identification of clinically significant biomarkers for HNSCC.

Matlab software to perform DWD can be retrieved from https://genome.unc.edu/pubsup/dwd/

Plasma microRNA-16-5p, -17-5p and -20a-5p are potential diagnostic biomarkers in GDM.

Inflammation and activation of the neuroendocrine systems comprise important aspects of stroke pathophysiology. The present study investigated whether baseline plasma brain natriuretic peptide (BNP), N-terminal pro-brain natriuretic peptide (NT-proBNP), cortisol and copeptin levels on admission can predict short-term outcomes and mortality after acute ischaemic stroke. The study group consisted of 189 patients who had their first acute ischaemic stroke. Plasma levels of BNP, NT-proBNP, cortisol and copeptin were evaluated to determine their value with respect to predicting functional outcome and mortality within 3 months. As a result of cardiovascular and neurological investigations (including imaging techniques), lesion size, stroke subtype classification and clinical outcome after 3 months were determined. Plasma levels of BNP, NT-proBNP, cortisol and copeptin were associated with stroke severity, as well as short-term functional outcomes. After adjusting for all other significant outcome predictors, NT-proBNP, cortisol and copeptin remained as independent outcome predictors. In the receiver operating characteristic curve analysis, the biomarker panel (including BNP, NT-proBNP, cortisol and copeptin) predicted functional outcome and death within 90 days significantly more efficiently than the National Institute of Health Stroke Scale (NIHSS) or the biomarker alone. Copeptin showed a significantly greater discriminatory ability as a single biomarker compared to BNP, NT-proBNP, cortisol and NIHSS score. These results suggest that a biomarker panel may add valuable and time-sensitive prognostic information in the early evaluation of acute ischaemic stroke. This may provide a channel for interventional therapy in acute stroke.

No abstract