Gene expression profiling of adult acute myeloid leukemia identifies novel biologic clusters for risk classification and outcome prediction

To determine whether gene expression profiling could improve risk classification and outcome prediction in older acute myeloid leukemia (AML) patients, expression profiles were obtained in pretreatment leukemic samples from 170 patients whose median age was 65 years. Unsupervised clustering methods...

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Détails bibliographiques
Auteurs principaux: Wilson, Carla S., Davidson, George S., Martin, Shawn B., Andries, Erik, Potter, Jeffrey, Harvey, Richard, Ar, Kerem, Xu, Yuexian, Kopecky, Kenneth J., Ankerst, Donna P., Gundacker, Holly, Slovak, Marilyn L., Mosquera-Caro, Monica, Chen, I-Ming, Stirewalt, Derek L., Murphy, Maurice, Schultz, Frederick A., Kang, Huining, Wang, Xuefei, Radich, Jerald P., Appelbaum, Frederick R., Atlas, Susan R., Godwin, John, Willman, Cheryl L.
Format: Artigo
Langue:Inglês
Publié: The American Society of Hematology 2006
Sujets:
Neoplasia
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC1895492/
https://ncbi.nlm.nih.gov/pubmed/16597596
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1182/blood-2004-12-4633
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