Author Interviews, Gastrointestinal Disease, Nutrition / 30.09.2020

MedicalResearch.com Interview with: David C. Montrose, Ph.D. Assistant Professor Department of Pathology Renaissance School of Medicine Stony Brook Cancer Center Stony Brook University MedicalResearch.com: What is the background for this study? What are the main findings? Response: Rates of inflammatory bowel disease (IBD) have been increasing worldwide. In parallel with this, fructose consumption has increased. This study demonstrates that feeding high levels of fructose worsens intestinal inflammation in mouse models of inflammatory bowel disease (IBD). This fructose-induced worsening of disease is mediated through effects on gut bacteria. (more…)
AACR, Author Interviews, CT Scanning, Lung Cancer / 28.06.2019

MedicalResearch.com Interview with: Barbara Nemesure, PhD Professor, Department of Family, Population and Preventive Medicine Division Head, Epidemiology and Biostatistics Director, Cancer Prevention and Control Program Director, Lung Cancer Program, Stony Brook Cancer Center Renaissance School of Medicine Stony Brook University    MedicalResearch.com: What is the background for this study? What are the main findings? Response: Lung cancer is the most common cause of cancer death, claiming the lives of more than 150,000 people in the United States each year. While lung nodules are not uncommon, it has remained a challenge to differentiate those that will progress to cancer and those that will remain benign. Although numerous risk prediction models for lung cancer have been developed over the past 2 decades, the majority have been based on retrospective analyses or high risk groups with a strong history of tobacco use. To date, there have been a limited number of large-scale, prospective studies evaluating risk that a nodule will convert to cancer in the general population. This investigation aimed to construct a population-based risk prediction model of incident lung cancer for patients found to have a lung nodule on initial CT scan. The derived model was determined to have high accuracy for predicting nodule progression to cancer and identified a combination of clinical and radiologic predictors including age, smoking history (pack-years), a personal history of cancer, the presence of chronic obstructive pulmonary disease (COPD), and nodule features such as size, presence of spiculation and ground glass opacity type. When compared to patients in the low risk category, those defined as high risk had more than 14 times the risk of developing lung cancer. Quantification of reliable risk scores has high clinical utility, enabling physicians to better stratify treatment plans for their patients.      (more…)