A5057494906- Gene expression and cancer classification
- Cancer Genomics and Diagnostics
- Bioinformatics and Genomic Networks
- Ovarian cancer diagnosis and treatment
- Cancer-related molecular mechanisms research
- Molecular Biology Techniques and Applications
- RNA modifications and cancer
- Lung Cancer Treatments and Mutations
- Effects of Radiation Exposure
- Breast Cancer Treatment Studies
- Gut microbiota and health
- Diet and metabolism studies
- MicroRNA in disease regulation
- Parathyroid Disorders and Treatments
- Genomics and Chromatin Dynamics
- Bacterial Genetics and Biotechnology
- Radiomics and Machine Learning in Medical Imaging
- Cancer, Lipids, and Metabolism
- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
- Cancer Mechanisms and Therapy
- Kruppel-like factors research
- Carcinogens and Genotoxicity Assessment
- Clusterin in disease pathology
- Cancer-related Molecular Pathways
Duke University
2014-2025
Duke Medical Center
2003-2015
Duke University Hospital
2001-2011
Yale University
2006-2008
Decision Sciences (United States)
2001-2007
Moffitt Cancer Center
2005-2007
University of Utah
2007
Koo Foundation Sun Yat-Sen Cancer Center
2004-2006
University of Minnesota
2006
National Human Genome Research Institute
2006
Prognostic and predictive factors are indispensable tools in the treatment of patients with neoplastic disease. For most part, such rely on a few specific cell surface, histological, or gross pathologic features. Gene expression assays have potential to supplement what were previously distinct features many thousands We developed Bayesian regression models that provide capability based gene data derived from DNA microarray analysis series primary breast cancer samples. These patterns...
Clinical trials have indicated a benefit of adjuvant chemotherapy for patients with stage IB, II, or IIIA--but not IA--non-small-cell lung cancer (NSCLC). This classification scheme is probably an imprecise predictor the prognosis individual patient. Indeed, approximately 25 percent IA disease recurrence after surgery, suggesting need to identify in this subgroup more effective therapy.We identified gene-expression profiles that predicted risk cohort 89 early-stage NSCLC (the metagene...
Abstract Despite the strikingly grave prognosis for older patients with glioblastomas, significant variability in patient outcome is experienced. To explore potential developing improved prognostic capabilities based on elucidation of biological relationships, we did analyses genes commonly mutated, amplified, or deleted glioblastomas and DNA microarray gene expression data from tumors glioblastoma age >50 whom survival known. No significance was associated genetic changes epidermal...
The purpose of this study was to develop an integrated genomic-based approach personalized treatment patients with advanced-stage ovarian cancer. We have used gene expression profiles identify likely be resistant primary platinum-based chemotherapy and also alternate targeted therapeutic options for de novo platinum-resistant disease.A model that predicts response therapy developed using a training set 83 serous cancers tested on 36-sample external validation set. In parallel, signatures...
Abstract Purpose: A better understanding of the underlying biology invasive serous ovarian cancer is critical for development early detection strategies and new therapeutics. The objective this study was to define gene expression patterns associated with favorable survival. Experimental Design: RNA from 65 cancers analyzed using Affymetrix U133A microarrays. This included 54 stage III/IV cases (30 short-term survivors who lived <3 years 24 long-term >7 years) 11 I/II cases....
We describe a comprehensive modeling approach to combining genomic and clinical data for personalized prediction in disease outcome studies. This integrated clinicogenomic framework is based on statistical classification tree models that evaluate the contributions of multiple forms data, both genomic, define interactions risk factors associate with derive predictions customized individual patient level. Gene expression from DNA microarrays represented by multiple, summary measures we term...
Background The capacity to assess environmental inputs biological phenotypes is limited by methods that can accurately and quantitatively measure these contributions. One such example be seen in the context of exposure ionizing radiation. Methods Findings We have made use gene expression analysis peripheral blood (PB) mononuclear cells develop profiles reflect prior radiation exposure. demonstrate developed not only predict mice but also distinguish level exposure, ranging from 50 cGy 1,000...
Pediatric obesity remains a public health burden and continues to increase in prevalence. The gut microbiota plays causal role is promising therapeutic target. Specifically, the microbial production of short-chain fatty acids (SCFA) from fermentation otherwise indigestible dietary carbohydrates may protect against pediatric metabolic syndrome. Still, it has not been demonstrated that therapies involving microbiota-targeting carbohydrates, known as prebiotics, will enhance bacterial SCFA...
Abstract Purpose: Breast cancer is a heterogeneous disease, and markers for disease subtypes therapy response remain poorly defined. For that reason, we employed prospective neoadjuvant study in locally advanced breast to identify molecular signatures of gene expression correlating with known prognostic clinical phenotypes, such as inflammatory or the presence hypoxia. In addition, defined correlate chemotherapy. Experimental Design: Tissue was collected under ultrasound guidance from...
Fulfilling the promise of personalized medicine by developing individualized diagnostic and therapeutic strategies for atherosclerosis will depend on a detailed understanding genes gene variants that contribute to disease susceptibility progression. To end, our group has developed nonbiased approach congruent with multigenic concept complex diseases identifying expression patterns highly associated states in human target tissues.We have analyzed collection aorta samples varying degrees...
Abstract Purpose: The silencing of gene expression through DNA methylation contributes to defects in antigen presentation and apoptosis melanoma renal cell cancer. To determine how a hypomethylating agent would modulate the toxicity antitumor activity immunotherapy, we initiated phase I trial 5-aza-2′-deoxycytidine (decitabine) plus high-dose interleukin 2 (IL-2). Experimental Design: Patients received s.c. decitabine daily × 5 days on weeks 1 12-week cycle. High-dose IL-2, consisting two...
Human brain arteriovenous malformations (BAVMs) display abnormal expression of various angiogenesis-related genes and their products. We examined gene patterns in BAVMs by the microarray technique.We analyzed BAVM control samples obtained temporal lobectomy for medically intractable seizure Affymetrix Gene Set U95Av2 (Affymetrix, Inc., Santa Clara, CA). The data were compared with new previously published that used conventional molecular biology techniques.We six five samples. From 12,625...
BackgroundPrevious work has demonstrated the potential for peripheral blood (PB) gene expression profiling detection of disease or environmental exposures.Methods and FindingsWe have sought to determine impact several variables on PB profile an exposure, ionizing radiation, specificity signature radiation versus other genotoxic stresses. Neither genotype differences nor time sampling caused any lessening accuracy signatures predict but sex difference did influence prediction exposure at...
Gene expression profiling may be useful for prognostic and therapeutic strategies in breast carcinoma.To demonstrate the value integrating genomic information with clinical pathological risk factors, to refine prognosis, improve early stage cancer.Retrospective study of patients carcinoma who were candidates adjuvant chemotherapy; 964 clinically annotated tumor samples (573 initial discovery set 391 validation cohort) corresponding microarray data used. All assigned relapse scores based on...
Purpose Identifying sources of variation in expression microarray data and the effect variance gene measurements on complex predictive diagnostic models is essential when translating microarray-based experimental approaches into clinical assays. The technical reproducibility platforms well established. Here, we investigate additional impact intratumor heterogeneity, a largely unstudied component variance, performance several assays breast cancer. Patients Methods Genome-wide profiling was...