Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Amanda C. DeRenzis"'
Autor:
Angelina K. C. Fink, Amanda C. DeRenzis, Shivanshu Awasthi, Nawreen Jahan, Peter A. S. Johnstone, Julio Pow‐Sang, Javier Torres‐Roca, Daniel Grass, Daniel Fernandez, Arash Naghavi, Susan Tan, Brandon Manley, Roger Li, Michael Poch, Alice Yu, Nikki Little, Eppie Bass, Cesar E. Ercole, Evangelia Katsoulakis, Ryan Burri, Riley Smith, Nathanael B. Stanley, Susan T. Vadaparampil, Kosj Yamoah
Publikováno v:
Cancer Medicine, Vol 12, Iss 2, Pp 1869-1877 (2023)
Abstract Participation in cancer research trials by minority populations is imperative in reducing disparities in clinical outcomes. Even with increased awareness of the importance of minority patient inclusion in clinical research to improve cancer
Externí odkaz:
https://doaj.org/article/34ce927cf9124a16ad2aa168603939d3
Autor:
Angelina K. C. Fink, Amanda C. DeRenzis, Shivanshu Awasthi, Nawreen Jahan, Peter A. S. Johnstone, Julio Pow‐Sang, Javier Torres‐Roca, Daniel Grass, Daniel Fernandez, Arash Naghavi, Susan Tan, Brandon Manley, Roger Li, Michael Poch, Alice Yu, Nikki Little, Eppie Bass, Cesar E. Ercole, Evangelia Katsoulakis, Ryan Burri, Riley Smith, Nathanael B. Stanley, Susan T. Vadaparampil, Kosj Yamoah
Publikováno v:
Cancer Medicine. 12:1869-1877
Participation in cancer research trials by minority populations is imperative in reducing disparities in clinical outcomes. Even with increased awareness of the importance of minority patient inclusion in clinical research to improve cancer care and
Autor:
Adam P. Dicker, Kosj Yamoah, G. Daniel Grass, Elai Davicioni, Andrew Leone, Evangelia Katsoulakis, Jasreman Dhillon, Angelina K. Fink, Brandon J. Manley, Joshua D. Palmer, Timothy R. Rebbeck, Amanda C DeRenzis, Peter A.S. Johnstone, Neha Vapiwala, Julio M. Pow-Sang, Curtiland Deville, Ryan J Burri, Kenneth L. Gage, Cesar E. Ercole, Roger Li
Publikováno v:
Journal of Clinical Oncology. 39:5005-5005
5005 Background: Risk stratification of prostate cancer (PC) using routine clinical variables remains suboptimal as they do not account for underlying tumor biology. The genomic classifier provides information on underlying biology and independently