Work

Models to Predict Response to JAK-inhibitor Therapy in Patients with Myelofibrosis

Year: 2017

Type: article

Study design: Observational Study

Source: Clinical Lymphoma Myeloma & Leukemia

DOI: 10.1016/j.clml.2017.07.190

Authors: Kamal Menghrajani, Philip Boonstra, Cecelia Perkins, Krisstina Gowin, Alissa Weber, Ruben Mesa, Jason Gotlib, Lixia Wang, Jack Singer, Moshe Talpaz

Institutions: University of Michigan, U-M Rogel Cancer Center, Stanford Cancer Institute, Stanford University, Mayo Clinic, Mayo Clinic in Arizona, CTI BioPharma (United States)

Language: English

Topic: Myeloproliferative Neoplasms: Diagnosis and Treatment

Subfield: Hematology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W2752602729

FWCI: 0.209

Cites:

Cited by: 1

Related to: 10