Autologous stem-cell collection following VTD or VRD induction therapy in multiple myeloma: a single-center experience.
Vanille LaurentClémentine FronteauChloé AntierPascale DupuisBenoît TessoulinThomas GastinneBéatrice MahéNicolas BlinViviane DubruilleAnne LokPatrice ChevallierThierry GuillaumeAlice GarnierPierre PeterlinAmandine Le BourgeoisSophie VantyghemMourad TiabPascal GodmerSophie SadotMarion LoiratAdrien TrebouetNicolas CormierSteven Le GouillPhilippe MoreauCyrille TouzeauPublished in: Bone marrow transplantation (2020)
Triplet-drug regimen bortezomib-thalidomide-dexamethasone (VTD) and bortezomib-lenalidomide-dexamethasone (VRD) are considered as standard of care induction prior autologous stem-cell transplantation (ASCT) in myeloma. In addition to improve response rate, induction therapy should preserve an adequate stem-cell collection. In the present retrospective study, we analyzed stem-cell collection in 325 newly diagnosed myeloma patients who received either VTD or VRD induction before ASCT. Stem-cell mobilization consisted of intravenous cyclophosphamide plus G-CSF. Plerixafor was administered preemptively to rescue mobilization. In comparison with VTD, VRD induction was associated with a more frequent use of plerixafor (19.3% versus 5.4%, p = 0.004) and with an increased number of apheresis to reach adequate collection (>2 apheresis required in 42.3% versus 30.2%, p = 0.05). Moreover, more patients experienced collection failure in the VRD group (6% versus 1.8%, p = 0.004). The median number of CD34-positive cells (×106/kg) was lower in the VRD group: 8.5 versus 9.3 (p = 0.05) in the VTD group. The vast majority of patients underwent ASCT (93% versus 98%, in VRD and VTD group, respectively). These data highlight the need of optimal stem-cell collection strategy, especially in the context of tandem transplantation and incorporation of anti-CD38 monoclonal antibody into induction.
Keyphrases
- newly diagnosed
- stem cells
- multiple myeloma
- stem cell transplantation
- high dose
- cell therapy
- end stage renal disease
- ejection fraction
- healthcare
- monoclonal antibody
- palliative care
- emergency department
- bone marrow
- prognostic factors
- machine learning
- pain management
- oxidative stress
- peritoneal dialysis
- patient reported
- artificial intelligence
- smoking cessation
- endoplasmic reticulum stress