| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 5581719 | Clinical Lymphoma Myeloma and Leukemia | 2017 | 23 Pages |
Abstract
Among the eight signatures, SKY92 identified the largest proportion of patients (21%) also with the highest HR (8.2). Our analysis also validated the combination SKY92/ISS for identification of three classes; low risk (42%), intermediate risk (37%) and high risk (21%). Between low risk and high risk classes the HR is >10.
Keywords
Related Topics
Health Sciences
Medicine and Dentistry
Anesthesiology and Pain Medicine
Authors
Erik H. van Beers, Martin H. van Vliet, Rowan Kuiper, Leonie de Best, Kenneth C. Anderson, Ajai Chari, Sundar Jagannath, Andrzej Jakubowiak, Shaji K. Kumar, Joan B. Levy, Daniel Auclair, Sagar Lonial, Donna Reece, Paul Richardson, David S. Siegel,