Medicine and Health Sciences Commons^™

Nodal Ratios In Node-Positive Breast Cancer—Long-Term Study To Clarify Discrepancy Of Role Of Supraclavicular And Axillary Regional Radiotherapy, Patricia Tai, Kurian Joseph, Evgeny Sadikov, Shazia Mahmood, Francis Lien, Edward Yu

Edward Yu

Purpose: To study the absolute number of involved nodes/the number of nodes examined or the nodal ratio (NR) in breast cancer. The primary study endpoint was to evaluate the role of supraclavicular and axillary radiotherapy (SART) according to the NR. Methods and materials: From the Saskatchewan provincial registry of 1981-1995, the charts of 5,996 consecutive patients were retrieved to collect detailed prognostic factors. Among these patients, 1,985 were node positive. Because the NRs are more reliable the greater the number of nodes examined, we analyzed 1,255 patients with > or =10 nodes examined. Of these 1,255 patients, 667, 389, and 199 …

Oncolog, Volume 52, Number 12, December 2007, Sunni Hosemann, Diane Witter, Huong Le-Petross Md

OncoLog MD Anderson's Report to Physicians (All issues)

• Worth More than a Thousand Words\
• A Step Forward for Stents
• House Call: Getting the Most From Your Doctor Visit
• DiaLog: Is MRI Better for Breast Screening?, by Huong Le-Petross, MD

Department Of Pathology, Thomas Jefferson University, Identification Of Conserved Gene Expression Features Between Murine Mammary Carcinoma Models And Human Breast Tumors., Jason I Herschkowitz, Karl Simin, Victor J Weigman, Igor Mikaelian, Jerry Usary, Zhiyuan Hu, Karen E Rasmussen, Laundette P Jones, Shahin Assefnia, Subhashini Chandrasekharan, Michael G Backlund, Yuzhi Yin, Andrey I Khramtsov, Roy Bastein, John Quackenbush, Robert I Glazer, Powel H Brown, Jeffrey E Green, Levy Kopelovich, Priscilla A Furth, Juan P Palazzo, Olufunmilayo I Olopade, Philip S Bernard, Gary A Churchill, Terry Van Dyke, Charles M Perou

Department of Pathology, Anatomy, and Cell Biology Faculty Papers

BACKGROUND: Although numerous mouse models of breast carcinomas have been developed, we do not know the extent to which any faithfully represent clinically significant human phenotypes. To address this need, we characterized mammary tumor gene expression profiles from 13 different murine models using DNA microarrays and compared the resulting data to those from human breast tumors. RESULTS: Unsupervised hierarchical clustering analysis showed that six models (TgWAP-Myc, TgMMTV-Neu, TgMMTV-PyMT, TgWAP-Int3, TgWAP-Tag, and TgC3(1)-Tag) yielded tumors with distinctive and homogeneous expression patterns within each strain. However, in each of four other models (TgWAP-T121, TgMMTV-Wnt1, Brca1Co/Co;TgMMTV-Cre;p53+/- and DMBA-induced), tumors with a variety of …