A Two-Gene Signature, SKI and SLAMF1, Predicts Time-to-Treatment in Previously Untreated Patients with Chronic Lymphocytic Leukemia

We developed and validated a two-gene signature that predicts prognosis in previously-untreated chronic lymphocytic leukemia (CLL) patients. Using a 65 sample training set, from a cohort of 131 patients, we identified the best clinical models to predict time-to-treatment (TTT) and overall survival (...

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Detalles Bibliográficos
Autores principales: Schweighofer, Carmen D., Coombes, Kevin R., Barron, Lynn L., Diao, Lixia, Newman, Rachel J., Ferrajoli, Alessandra, O'Brien, Susan, Wierda, William G., Luthra, Rajyalakshmi, Medeiros, L. Jeffrey, Keating, Michael J., Abruzzo, Lynne V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3237436/
https://www.ncbi.nlm.nih.gov/pubmed/22194822
http://dx.doi.org/10.1371/journal.pone.0028277

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3237436/
https://www.ncbi.nlm.nih.gov/pubmed/22194822
http://dx.doi.org/10.1371/journal.pone.0028277

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