MOTIVATION It is important to predict the outcome of patients with diffuse large-B-cell lymphoma after chemotherapy, since the survival rate after treatment of this common lymphoma disease is <50%. Both clinically based outcome predictors and the gene expression-based molecular factors have been proposed independently in disease prognosis. However combining the high-dimensional genomic data and...

While recently performed genome-wide association studies have advanced the identification of genetic variants predisposing to type 2 diabetes (T2D), the potential application of these novel findings for disease prediction and prevention has not been well studied. Diabetes prediction and prevention have become urgent issues owing to the rapidly increasing prevalence of diabetes and its associate...

PURPOSE To develop an accurate and noninvasive method for bladder cancer diagnosis and prediction of disease aggressiveness based on the gene expression patterns of urine samples. EXPERIMENTAL DESIGN Gene expression patterns of 341 urine samples from bladder urothelial cell carcinoma (UCC) patients and 235 controls were analyzed via TaqMan Arrays. In a first phase of the study, three consecut...

various polymorphisms on endothelial nitric oxide synthase (enos) gene cause reduced production of no, the endothelial relaxing factor, and may accelerate the process of atherosclerosis. the study designed to investigate the frequency of t-786c polymorphism of the enos gene in patients suffering from coronary artery disease (cad) in north-west of iran. one hundred twenty subjects including 60 p...

background: the wilms tumor 1 (wt1) gene is originally defined as a tumor suppressor gene and a transcription factor that overexpressed in leukemic cells. it is highly expressed in more than 80% of acute myeloid leukemia (aml) patients, both in bone marrow (bm) and in peripheral blood (pb), and it is used as a powerful and independent marker of minimal residual disease (mrd);we have determined ...

MOTIVATION The application of information encoded in molecular networks for prognostic purposes is a crucial objective of systems biomedicine. This approach has not been widely investigated in the cardiovascular research area. Within this area, the prediction of clinical outcomes after suffering a heart attack would represent a significant step forward. We developed a new quantitative predictio...

Gene-expression signature-based disease classification and clinical outcome prediction has not been widely introduced in clinical medicine as initially expected, mainly due to the lack of extensive validation needed for its clinical deployment. Obstacles include variable measurement in microarray assay, inconsistent assay platform, analytical requirement for comparable pair of training and test...

Microarray data profiles gene expression on a whole genome scale, and provides a good way to study associations between gene expression and occurrence or progression of cancer disease. Many researchers realized that microarray data is useful to predict cancer cases. However, the high dimension of gene expressions, which is significantly larger than the sample size, makes this task very difficul...