Associating drug sensitivity with differentiation status identifies effective combinations for acute myeloid leukemia.

Kurtz, Stephen E; Eide, Christopher A; Kaempf, Andy; Long, Nicola; Bottomly, Daniel; Nikolova, Olga; Druker, Brian J; McWeeney, Shannon K; Chang, Bill H; Tyner, Jeffrey W; Agarwal, Anupriya

Kurtz, Stephen E; Eide, Christopher A; Kaempf, Andy; Long, Nicola; Bottomly, Daniel; Nikolova, Olga; Druker, Brian J; McWeeney, Shannon K; Chang, Bill H; Tyner, Jeffrey W; Agarwal, Anupriya.

Affiliation

Kurtz SE; Division of Hematology & Medical Oncology.
Eide CA; Division of Oncological Sciences.
Kaempf A; Division of Hematology & Medical Oncology.
Long N; Biostatistics Shared Resource, and.
Bottomly D; Division of Hematology & Medical Oncology.
Nikolova O; Division of Bioinformatics & Computational Biomedicine, Department of Medical Informatics and Clinical Epidemiology, Knight Cancer Institute, Oregon Health & Science University, Portland, Oregon.
Druker BJ; Division of Oncological Sciences.
McWeeney SK; Division of Hematology & Medical Oncology.
Chang BH; Division of Oncological Sciences.
Tyner JW; Division of Bioinformatics & Computational Biomedicine, Department of Medical Informatics and Clinical Epidemiology, Knight Cancer Institute, Oregon Health & Science University, Portland, Oregon.
Agarwal A; Division of Pediatric Hematology and Oncology, Knight Cancer Institute, Doernbecher Children's Hospital, Oregon Health & Science University, Portland, Oregon; and.

Blood Adv ; 6(10): 3062-3067, 2022 05 24.

Article in En | MEDLINE | ID: mdl-35078224

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Leukemia, Myeloid, Acute Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Blood Adv Year: 2022 Document type: Article

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