Author Interviews, Cancer Research / 09.08.2022

MedicalResearch.com Interview with: Sarah S. Jackson PhD Infections and Immunoepidemiology Branch Division of Cancer Epidemiology and Genetics National Cancer Institute Bethesda, MD 20892 MedicalResearch.com: What is the background for this study? Response: There are many cancers that both men and women can develop, specifically those that do not affect the reproductive tract. Men have higher rates of these nonreproductive cancers than women. There are only two nonreproductive cancer types that are more common in women: thyroid and gallbladder. Historically, we have thought this is because women are less likely to smoke or drink and are more likely to eat well and exercise than men. This study sought to examine the sex bias in cancer incidence after controlling for those lifestyle factors to see if this explained the male predominance in cancer. (more…)
AACR, Author Interviews, Cancer Research, Genetic Research, NIH / 23.04.2021

MedicalResearch.com Interview with: Nishanth Ulhas Nair, Ph.D. Affiliation: Staff Scientist at Cancer Data Science Laboratory, Center for Cancer Research National Cancer Institute (NCI), National Institutes of Health (NIH) Bethesda, Maryland, USA. Date: April 22, 2021 Dr. Raffit Hassan and Dr. Eytan Ruppin at the National Cancer Institute (NCI) are the senior authors of this study.  MedicalResearch.com: What is the background for this study? Response: Malignant mesothelioma is an aggressive cancer with limited treatment options and poor prognosis. An in-depth knowledge of genetic, transcriptomic and immunogenic events involved in mesothelioma is critical for successful development of prognostics and therapeutic modalities. In this study we aim to address this by exploring a new large scale patient tumor dataset of 122 mesothelioma patients, called NCI mesothelioma patient data, along with their genomic, transcriptomic, and phenotypic information. Unlike previous large-scale studies which have been focused on malignant pleural mesothelioma patients, our dataset contains an approximately equal representation of malignant pleural and peritoneal mesothelioma patients which allows to identify any differences between them. (more…)