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pro vyhledávání: '"59"'
Autor:
Martin E. Gleave, David A. Quigley, Martin Sjöström, Kyle T Helzer, Nicholas R. Rydzewski, Marc D. Perry, Joshua M. Lang, Menggang Yu, Jiaoti Huang, Felix Y. Feng, S. Laura Chang, Eric J. Small, Won Kim, Christopher P. Evans, Li Zhang, Joshi J. Alumkal, Shuang G. Zhao, Rahul Aggarwal, Hamza Bakhtiar, Robert E. Reiter, Adam Foye
Publikováno v:
JAMA Oncol
IMPORTANCE: Luminal and basal subtypes of primary prostate cancer have been shown to be molecularly distinct and clinically important in predicting response to therapy. These subtypes have not been described in metastatic prostate cancer. OBJECTIVES:
Autor:
Nelly Mugo, Evans Nyongesa-Malava, Samah R. Sakr, Hugo De Vuyst, Anthony Cagle, Marleen Temmerman, Michael H. Chung, Christine J. McGrath, Elizabeth R. Unger, Stanley Luchters, Troy D. Querec, Sharon A Greene
Publikováno v:
JAMA Oncol
IMPORTANCE: Persistence of cervical high-risk human papillomavirus (hrHPV) after treatment for cervical intraepithelial neoplasia grade 2 or higher (CIN2+) has not been compared between cryotherapy and loop electrosurgical excision procedure (LEEP) a
Autor:
Geoff Neuner, Amit Agrawal, Amanda L. Blackford, Maura L. Gillison, Bo Jiang, Weihong Xiao, Carole Fakhry
Publikováno v:
JAMA Oncol
IMPORTANCE: Detection of persistent oral human papillomavirus (HPV) DNA may be associated with recurrence of HPV-positive head and neck squamous cell carcinoma (HNSCC). OBJECTIVE: To evaluate the dynamics of oral HPV DNA detection and associations wi
Autor:
Anthony Howell, Elaine F. Harkness, Elke M van Veen, Helen Byers, Susan M. Astley, Sarah Sampson, Jack Cuzick, William G. Newman, D. Gareth Evans, Adam R. Brentnall
Publikováno v:
Van Veen, E, Brentnall, A R, Byers, H, Harkness, E, Astley, S, Sampson, S, Howell, A, Newman, W, Cuzick, J & Evans, D 2018, ' Use of Single-Nucleotide Polymorphisms and Mammographic Density Plus Classic Risk Factors for Breast Cancer Risk Prediction ', JAMA oncology, vol. 4, no. 4, pp. 476-482 . https://doi.org/10.1001/jamaoncol.2017.4881
Importance Single-nucleotide polymorphisms (SNPs) have demonstrated an association with breast cancer susceptibility, but there is limited evidence on how to incorporate them into current breast cancer risk prediction models. Objective To determine w