Individual biomarkers of renal injury are only modestly predictive of acute kidney injury (AKI). Using multiple biomarkers has the potential to improve predictive capacity. In this systematic review, statistical methods of articles developing biomarker combinations to predict AKI were assessed. We identified and described three potential sources of bias (resubstitution bias, model selection bia...

Biomarker development is a common endeavor in medical research. The purpose to find indicators of disease occurrence or prognostic markers for response. process biomarkers often starts with showing mean differences between responders and non-responders those condition versus without. However, these statistically significant differences, while necessary are not sufficient validate biomarker. Sen...

PURPOSE Biomarkers and genomic signatures represent potentially predictive tools for precision medicine. Validation of predictive biomarkers in prospective or retrospective studies requires statistical justification of power and sample size. However, the design of these studies is complex and the statistical methods and associated software are limited, especially in survival data. Herein, we ad...

results the command is addpred for logistic regression models. conclusions the stata package provided herein can encourage the use of novel methods in examining predictive capacity of ever-emerging plethora of novel biomarkers. materials and methods we have written a stata command that is intended to help researchers obtain cut point-free and cut point-based net reclassification improvement ind...

Predictive biomarkers are important to the future of oncology; they can be used to identify patient populations who will benefit from therapy, increase the value of cancer medicines, and decrease the size and cost of clinical trials while increasing their chance of success. But predictive biomarkers do not always work. When unsuccessful, they add cost, complexity, and time to drug development. ...

abtract Purpose Drugs targeting the programmed cell death 1 (PD-1)/programmed cell death ligand 1 (PD-L1) pathway show significant clinical activity across several tumor types. However, a majority of patients do not respond to these agents. Use of biomarker assays to predict response to these agents is an active area of research; however, the predictive value of PD-L1 immunohistochemistry (IHC)...

Epigenetic machinery have become a major focus for new targeted cancer therapies. Our previous report described the discovery and biological activity of a potent, selective, orally bioavailable, irreversible inhibitor of Lysine Demethylase 1 (LSD1), GSK2879552. A proliferation screen of cell lines representing a number of tumor types indicated that small cell lung carcinoma (SCLC) was sensitive...