A comparative study of PCS and PAM50 prostate cancer classification schemes
Abstract
Two prostate cancer (PC) classification methods based on transcriptome profiles, a de novo method referred to as the “Prostate Cancer Classification System” (PCS) and a variation of the established PAM50 breast cancer algorithm, were recently proposed. Both studies concluded that most human PC can be assigned to one of three tumor subtypes, two categorized as luminal and one as basal, suggesting the two methods reflect consistency in underlying biology. Despite the similarity, differences and commonalities between the two classification methods have not yet been reported.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Feb 02, 2021
- Source ID
- 10.1038/s41391-021-00325-4
Entities
People
- Bruce J Trock
- Edwin M Posadas
- Elai Davicioni
- Eric A Klein
- Junhee Yoon
- Michael R Freeman
- Minhyung Kim
- R. Jeffrey Karnes
- Robert B. Den
- Stephen J. Freedland
- Sungyong You
- Yang Liu
Organizations
- National Cancer Institute
- United States Department of Defense
- United States Department of Health and Human Services