https://www.selleckchem.com/products/sb225002.html Aim We aimed to develop a candidate-based integrative public data mining strategy for validation of novel prognostic markers in lung adenocarcinoma. Materials & methods An in silico approach integrating meta-analyses of publicly available clinical information linked RNA expression, gene copy number and mutation datasets combined with independent immunohistochemistry and survival datasets. Results After validation of pipeline integrity utilizing data from the well-characterized prognostic factor Ki-67, prognostic impact of the calcium- and integrin-binding protein, CIB1, was analyzed. CIB1 was overexpressed in lung adenocarcinoma which correlated with pathological tumor and pathological lymph node status and impaired overall/progression-free survival. In multivariate analyses, CIB1 emerged as UICC stage-independent risk factor for impaired survival. Conclusion Our pipeline holds promise to facilitate further identification and validation of novel lung cancer-associated prognostic markers.Background Neurogranin (Ng) concentrates at dendritic spines. In patients with Alzheimer disease Ng levels are elevated. The role of Ng in delirium development has not been assessed, therefore we hypothesized that Ng levels are associated with delirium in critically ill patients. Materials & methods From 94 critically ill patients, 47 developed delirium and 47 controls were included. Blood was collected during the first 24 h of intensive care unit (ICU) admission, and on the day of delirium diagnoses. Ng and IL-1β were determined. Results Ng and IL-1β levels were higher in the delirium group at ICU admission and on the day of delirium diagnoses. IL-1β and Ng were independently associated with delirium occurrence. Conclusion Ng levels are associated with delirium development in ICU patients.ECG is a common diagnostic tool in medical practice. Sudden cardiac death (SCD) is a rare but devastating event. The most common cause of SCD in t