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Articles 1 - 8 of 8
Full-Text Articles in Medicine and Health Sciences
Evaluation Of The Performance Of Smoothing Functions In Generalized Additive Models For Spatial Variation In Disease, Umaporn Siangphoe, David C. Wheeler
Evaluation Of The Performance Of Smoothing Functions In Generalized Additive Models For Spatial Variation In Disease, Umaporn Siangphoe, David C. Wheeler
Biostatistics Publications
Generalized additive models (GAMs) with bivariate smoothing functions have been applied to estimate spatial variation in risk for many types of cancers. Only a handful of studies have evaluated the performance of smoothing functions applied in GAMs with regard to different geographical areas of elevated risk and different risk levels. This study evaluates the ability of different smoothing functions to detect overall spatial variation of risk and elevated risk in diverse geographical areas at various risk levels using a simulation study. We created five scenarios with different true risk area shapes (circle, triangle, linear) in a square study region. We …
Penalized Ordinal Regression Methods For Predicting Stage Of Cancer In High-Dimensional Covariate Spaces, Amanda Elswick Gentry, Colleen K. Jackson-Cook, Debra E. Lyon, Kellie J. Archer
Penalized Ordinal Regression Methods For Predicting Stage Of Cancer In High-Dimensional Covariate Spaces, Amanda Elswick Gentry, Colleen K. Jackson-Cook, Debra E. Lyon, Kellie J. Archer
Biostatistics Publications
The pathological description of the stage of a tumor is an important clinical designation and is considered, like many other forms of biomedical data, an ordinal outcome. Currently, statistical methods for predicting an ordinal outcome using clinical, demographic, and high-dimensional correlated features are lacking. In this paper, we propose a method that fits an ordinal response model to predict an ordinal outcome for high-dimensional covariate spaces. Our method penalizes some covariates (high-throughput genomic features) without penalizing others (such as demographic and/or clinical covariates). We demonstrate the application of our method to predict the stage of breast cancer. In our model, …
Catchment Area Analysis Using Bayesian Regression Modeling, Aobo Wang, David C. Wheeler
Catchment Area Analysis Using Bayesian Regression Modeling, Aobo Wang, David C. Wheeler
Biostatistics Publications
A catchment area (CA) is the geographic area and population from which a cancer center draws patients. Defining a CA allows a cancer center to describe its primary patient population and assess how well it meets the needs of cancer patients within the CA. A CA definition is required for cancer centers applying for National Cancer Institute (NCI)-designated cancer center status. In this research, we constructed both diagnosis and diagnosis/treatment CAs for the Massey Cancer Center (MCC) at Virginia Commonwealth University. We constructed diagnosis CAs for all cancers based on Virginia state cancer registry data and Bayesian hierarchical logistic regression …
Diabetes Management Before And After Cancer Diagnosis: Missed Opportunity, Nengliang Yao, Fabian T. Camacho, Askar S. Chukmaitov, Steven T. Fleming, Roger T. Anderson
Diabetes Management Before And After Cancer Diagnosis: Missed Opportunity, Nengliang Yao, Fabian T. Camacho, Askar S. Chukmaitov, Steven T. Fleming, Roger T. Anderson
Health Behavior and Policy Publications
Background
Few studies have examined the management of comorbidities in cancer patients. This study used population-based data to estimate the guideline concordance rates for diabetes management before and after cancer diagnosis and examined if diabetes management services among cancer patients was associated with characteristics of the hospital where the patient was treated.
Methods
We linked 2005-2009 Medicare claims data to information on 2,707 breast and colorectal cancers patients in state cancer registry files. Multivariate logistic regression models examined hospital characteristics associated with receipt of diabetes management care after cancer diagnosis.
Results
The rates of HbAlc testing, LDL-C testing, and retinal …
Synthesis, Surface Functionalization, And Biological Testing Of Iron Oxide Nanoparticles For Development As A Cancer Therapeutic, Stanley E. Gilliland Iii
Synthesis, Surface Functionalization, And Biological Testing Of Iron Oxide Nanoparticles For Development As A Cancer Therapeutic, Stanley E. Gilliland Iii
Theses and Dissertations
Iron oxide nanoparticles are highly researched for their use in biomedical applications such as drug delivery, diagnosis, and therapy. The inherent biodegradable and biocompatible nanoparticle properties make them highly advantageous in nanomedicine. The magnetic properties of iron oxide nanoparticles make them promising candidates for magnetic fluid hyperthermia applications. Designing an efficient iron oxide nanoparticle for hyperthermia requires synthetic, surface functionalization, stability, and biological investigations. This research focused on the following three areas: optimizing synthesis conditions for maximum radiofrequency induced magnetic hyperthermia, designing a simple and modifiable surface functionalization method for specific or broad biological stability, and in vitro and in …
Interaction Between Atm Kinase And P53 In Determining Glioma Radiosensitivity, Syed F. Ahmad
Interaction Between Atm Kinase And P53 In Determining Glioma Radiosensitivity, Syed F. Ahmad
Theses and Dissertations
Glioblastoma multiforme (GBM) is the most common primary brain tumor. Studies have shown that targeting the DNA damage response can sensitize cancer cells to DNA damaging agents. Ataxia telangiectasia mutated (ATM) is involved in signaling DNA double strand breaks. Our group has previously shown that ATM inhibitors (ATMi) sensitize GBM cells and tumors to ionizing radiation. This effect is greater when the tumor suppressor p53 is mutated.
The goals of this work include validation of a new ATM inhibitor, AZ32, and elucidation of how ATMi and p53 status interact to promote cell death after radiation. We propose that ATMi and …
Feasibility Of Integrating Tripterygium Wilfordii Into Modern Cancer Therapy For Increased Efficacy And Minimal Toxicity, Ngoc T. Vo
Undergraduate Research Posters
Cancer is the second leading cause of death in the U.S. and millions of novel cancer cases are being diagnosed each year. While chemotherapy and ionizing radiation are effective treatments against these malignant tumors, the adverse effects that accompany such treatments are devastating. In order to find alternative treatment methods with less side effects, we turn to Eastern herbal medicine. Recent scientific research has found that Tripterygium wilfordii, an herbal medicine traditionally used to treat inflammation in China, contains compounds (triptolide and celastrol) that prevent the growth of solid tumors, induce apoptosis, and prevent metastasis of developed tumors. Investigations …
Dual Pi3k/Mtor Inhibition With Bez235 Augments The Therapeutic Efficacy Of Doxorubicin In Cancer Without Influencing Cardiac Function, David E. Durrant
Dual Pi3k/Mtor Inhibition With Bez235 Augments The Therapeutic Efficacy Of Doxorubicin In Cancer Without Influencing Cardiac Function, David E. Durrant
Theses and Dissertations
Cancer continues to be a leading cause death in the United States despite improved treatments. Cancerous lesions form after acquiring oncogenic driver mutations or losing tumor suppressor function in normal cells. Traditional therapies have included use of genotoxic substances that take advantage of the increased growth rate and loss of tumor suppressor function to cause cell death. One such drug is the anthracycline antibiotic doxorubicin (DOX). DOX interchelates into DNA and disrupts transcriptional machinery while also poisoning topoisomerase II. This results in single and double stranded DNA breaks, which if severe enough leads to either necrotic or apoptotic cell death. …