Upfront use of plerixafor and granulocyte-colony stimulating factor (GCSF) for stem cell mobilization in patients with multiple myeloma: efficacy and analysis of risk factors associated with poor stem cell collection efficiency*

Adebayo Ogunniyi(Cornell University), Mabel Rodríguez(Cornell University), Sean M. Devlin(Cornell University), Nelly G. Adel(Cornell University), Heather Landau(Cornell University), David J. Chung(Memorial Sloan Kettering Cancer Center), Nikoletta Lendvai(Cornell University), Alexander M. Lesokhin(Memorial Sloan Kettering Cancer Center), Guenther Koehne(Memorial Sloan Kettering Cancer Center), Sham Mailankody(Memorial Sloan Kettering Cancer Center), Neha Korde(Cornell University), Lilian Reich(Memorial Sloan Kettering Cancer Center), Ola Landgren(Memorial Sloan Kettering Cancer Center), Sergio Giralt(Cornell University), Hani Hassoun(Cornell University)
Leukemia & lymphoma/Leukemia and lymphoma
October 13, 2016
Cited by 14Open Access
Full Text

Abstract

Plerixafor (P), an agent that selectively and reversibly binds to the chemokine receptor CXCR4, has been approved in combination with G-CSF (P + G-CSF) for stem cell (SC) mobilization in patients with multiple myeloma (MM). The goal of this study was to determine the SC collection success rate of P + G-CSF using a clinically relevant outcome defined as the ability to collect at least 5 × 106 CD34+ cells/kg to allow safely two transplants, and identify risk factors impacting SC mobilization. One hundred and thirty-eight patients were mobilized with P + G-CSF upfront following induction. The SC collection success rate was 92.8%. We identified exposure to lenalidomide alone (p = .038), WBC count <4 × 103/mcL prior to mobilization (p = .01) and non-African American race (p = .019), as risk factors for low efficiency by multivariate analysis. This study demonstrates that P + G-CSF is highly efficient in MM patients and provides strong support for its upfront use in SC collection for MM patients.


Related Papers

No related papers found

Powered by citation graph analysis