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Full-Text Articles in Medicine and Health Sciences
Analysis Of Epstein-Barr Virus Reservoirs In Paired Blood And Breast Cancer Primary Biopsy Specimens By Real Time Pcr., R Serene Perkins, Katherine Sahm, Cindy Marando, Diana Dickson-Witmer, Gregory R Pahnke, Mark Mitchell, Nicholas J Petrelli, Irving M Berkowitz, Patricia Soteropoulos, Virginie M Aris, Stephen P Dunn, Leslie J Krueger
Analysis Of Epstein-Barr Virus Reservoirs In Paired Blood And Breast Cancer Primary Biopsy Specimens By Real Time Pcr., R Serene Perkins, Katherine Sahm, Cindy Marando, Diana Dickson-Witmer, Gregory R Pahnke, Mark Mitchell, Nicholas J Petrelli, Irving M Berkowitz, Patricia Soteropoulos, Virginie M Aris, Stephen P Dunn, Leslie J Krueger
Department of Surgery Faculty Papers
INTRODUCTION: Epstein-Barr virus (EBV) is present in over 90% of the world's population. This infection is considered benign, even though in limited cases EBV is associated with infectious and neoplastic conditions. Over the past decade, the EBV association with breast cancer has been constantly debated. Adding to this clinical and biological uncertainty, different techniques gave contradictory results for the presence of EBV in breast carcinoma specimens. In this study, minor groove binding (MGB)-TaqMan real time PCR was used to detect the presence of EBV DNA in both peripheral blood and tumor samples of selected patients. METHODS: Peripheral blood and breast …
Classification And Risk Stratification Of Invasive Breast Carcinomas Using A Real-Time Quantitative Rt-Pcr Assay., Laurent Perreard, Cheng Fan, John F Quackenbush, Michael Mullins, Nicholas P Gauthier, Edward Nelson, Mary Mone, Heidi Hansen, Saundra S Buys, Karen Rasmussen, Alejandra Ruiz Orrico, Donna Dreher, Rhonda Walters, Joel Parker, Zhiyuan Hu, Xiaping He, Juan P Palazzo, Olufunmilayo I Olopade, Aniko Szabo, Charles M Perou, Philip S Bernard
Classification And Risk Stratification Of Invasive Breast Carcinomas Using A Real-Time Quantitative Rt-Pcr Assay., Laurent Perreard, Cheng Fan, John F Quackenbush, Michael Mullins, Nicholas P Gauthier, Edward Nelson, Mary Mone, Heidi Hansen, Saundra S Buys, Karen Rasmussen, Alejandra Ruiz Orrico, Donna Dreher, Rhonda Walters, Joel Parker, Zhiyuan Hu, Xiaping He, Juan P Palazzo, Olufunmilayo I Olopade, Aniko Szabo, Charles M Perou, Philip S Bernard
Department of Pathology, Anatomy, and Cell Biology Faculty Papers
INTRODUCTION: Predicting the clinical course of breast cancer is often difficult because it is a diverse disease comprised of many biological subtypes. Gene expression profiling by microarray analysis has identified breast cancer signatures that are important for prognosis and treatment. In the current article, we use microarray analysis and a real-time quantitative reverse-transcription (qRT)-PCR assay to risk-stratify breast cancers based on biological 'intrinsic' subtypes and proliferation. METHODS: Gene sets were selected from microarray data to assess proliferation and to classify breast cancers into four different molecular subtypes, designated Luminal, Normal-like, HER2+/ER-, and Basal-like. One-hundred and twenty-three breast samples (117 invasive …