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No abstract

PURPOSE: We performed a retrospective chart review on 393 patients with multiple myeloma (MM) to determine the utility of the gamma gap (GG). METHODS: We calculated the difference between a patient’s total serum protein and albumin as a point-of-care test for assessing disease status in MM. RESULTS: GG is highly correlated with the level of M-spike, and the change in GG correlates with myeloma treatment response. In addition, fitted linear models were established that allow for the calculation of M-protein level from the GG within hours from blood draw. CONCLUSION: Our study has important implications in the care of MM, particularly in countries/areas with limited resources.

e19514 Background: The treatment of newly diagnosed multiple myeloma (NDMM) has evolved significantly with the advent of the immunomodulatory agents (IMiDs) and proteasome inhibitors (PIs). While the presence of bone marrow fibrosis (BMF) has previously been associated with poor prognosis in multiple myeloma (MM), these studies were small and conducted prior to the widespread use of IMiDs and PIs. Here, we determined the incidence of BMF in NDMM patients and correlated the degree of BMF with prognosis in a population enriched for IMiD and/or PI exposure. Methods: Bone marrow biopsies from 306 MM patients seen at Duke between 2003 and 2013 were screened for BMF using a reticulin stain. Samples were scored as absent, mild, moderate, or severe fibrosis based on the degree and intensity of staining. The association between presence and degree of BMF to progression free survival (PFS) and overall survival (OS) was calculated using Kaplan-Meier analysis. Results: Of the 306 patients evaluated, 248 (81.0%) were treated with an IMiD, 241 (78.8%) were treated with a PI, and 217 (70.9%) received both. Additionally, 160 (52.3%) patients went on to receive an autologous stem cell transplant (HSCT). A total of 193 patients (63.1%) were evaluable for BMF. Of these, 96 (49.7%) had detectable BMF, while 97 (50.3%) had no BMF. The degree of BMF was mild in 60 patients (62.5%), and moderate or severe in 34 patients (35.4%). Median PFS in patients without BMF was 30.4 months, and 21.8 months in patients with BMF present (log-rank p = 0.02). Median OS was 61.1 months in patients without BMF, and 46.3 months in patients with BMF (log-rank p = 0.048). Patients with moderate or severe BMF had a particularly poor prognosis with a PFS of only 18.8 months and an OS of 32.7 months. Conclusions: Our study represents the largest dataset to date examining the incidence of BMF in MM patients, and is the only one to examine the association of BMF with prognosis in the era of novel therapies and widespread use of HSCT. Our data suggests that BMF is common in NDMM, and MM patients with BMF (particularly those with more extensive BMF) have a poorer prognosis even when treated with IMiDs and PIs. These data emphasize the importance of determining the presence and degree of BMF at time of MM diagnosis, and suggest a role for adjunctive therapies that target BMF in MM patients with co-existing BMF.