ALBERT

Description: Introduction: Multiple myeloma (MM) is a disease of aging. The prognosis of older adults with MM is influenced by the presence of geriatric syndromes, including dependence in daily activities and comorbidities. Falls, another common geriatric syndrome, are associated with greater risk for severe toxicity of chemotherapy and survival in older adults with solid tumors. Among older adults with MM, the prevalence of falls and factors predictive of falls are yet unknown. Thus, we sought to determine the prevalence of falls in a cohort of older adults with newly diagnosed MM and examine associations between falls and functional status, comorbidities and self-reported health. Methods: Using data from the linkage of the Surveillance, Epidemiology, and End Results (SEER) national cancer registry with the Medicare Health Outcomes Survey (MHOS), we identified unique patients with a diagnosis of MM in the SEER registry who participated in the MHOS survey, which includes individuals who are enrolled in Medicare Advantage organizations. An item inquiring about falls was present in the MHOS survey starting in 2006. For this analysis, participants (pts) were included if they completed the MHOS baseline survey within 1 year of their diagnosis of MM. Baseline characteristics were examined with descriptive statistics. Associations between falls and patient-reported data on function, comorbidities and self-rated health were examined using Student's t-test, Pearson Chi-square or Fisher's exact test, as appropriate. We identified 1327 unique patients, of whom 376 completed their baseline MHOS survey within 1 year of diagnosis. Of these, 190 provided responses to the item regarding falls and are included in this analysis. Results: The median age of the cohort was 77 years (range 47-97). The cohort was diverse, with 58.9% white race, 19.5% Asian/Pacific Islander, 11.6% Hispanic/Latino and 10.0% black race. Half (50.0%) were male, 48.4% female, and 1.6% unknown gender. Over one-quarter (25.2%) of pts reported a fall within the prior 12 months. Fallers were more likely to report a history of congestive heart failure than nonfallers (22.7% vs 7.9%, p=0.012); the remaining comorbidities examined (coronary artery disease, stroke, chronic obstructive pulmonary disease and diabetes) were not associated with falls. Of those who reported 2 or more weeks of depression in the past year, 41.4% reported a fall, compared with only 20.1% of those who did not report depression (p=0.004). Fallers were more likely to report limitations in moderate activities (81.2% vs 62.1%, p=0.015) and in climbing several flights of stairs (89.1% vs 64.9%, p=0.001). Pts who reported numbness in their feet some, most or all of the time were numerically but not statistically more likely to report a fall (35% vs 21.9%, p=0.070). Compared with nonfallers, fallers reported more days in the past 30 days when their physical health was not good (15.8 vs 10.0 days, p=0.024), more days in the past 30 days when their mental health was not good (10.7 days vs 4.1 days, p=0.002) and more days in the past 30 days when their health interfered with their daily activities (14.3 vs 7.0 days, p=0.001). Pts who had fallen were more likely to report that their health was fair or poor than those who had not fallen (67.4% vs 33.8%, p

Description: Background The epitome of cancer treatment personalization is N=1 segmentation where a custom therapy is designed for every patient. Because most cancer aberrations are not actionable mutations and tumors can have more than one actionable mutation, this one biomarker/one drug approach to cancer personalization has inherent limitations due to its over simplification. Personalization 2.0 methodology creates a patient simulation avatar incorporating a patient’s genomic profile information holistically. Methods Bone marrow samples from two myeloma patients (P1 and P2) refractory to most recent treatment was collected, and P1’s sample was sorted into CD138+ and CD138- cells. The patient cells were analyzed for chromosomal alterations using Comparative Genomic Hybridization (aCGH) arrays by GenPath Diagnostics and cytogenetic chromosome analysis by Washington University School of Medicine and New York University (NYU), respectively. Using this information, a predictive simulation avatar model of each patient was created by Cellworks based on genomic profile of patients. A digital functional library of over 80 FDA-approved drugs and agents currently in clinical trials were simulated individually and in combination using the two patient avatars to create a personalized treatment for each patient. The findings were prospectively validated using patient cells ex vivo as assessed by MTT assay at New York University. Results P1 aberrations included trisomy of CCND1 and deletion of TP53 along with single copy losses in different arms of chromosomes 1, 6, 8, 12, 13, 14, 16, 17 and 22 and gains in different arms and regions of chromosomes X, 1, 4, 7, 9, 17, 3, 5, 11, 15 and 19, indicating the presence of hyperdiploid clones. Using this information, 897 gene perturbations were included to model this patient simulation avatar. Simulation predicted high beta-catenin (CTNNB1) activity with increased hedgehog and NOTCH pathways that were inherent causes of Bortezomib resistance. Significant activation of STAT3 and STAT5 due to amplification of IL6 pathway, JAK2 and JAK3 was noted. Amplifications of MET, IGFR and FGFR converged at ERK and AKT signaling loops. Along with deletion of TP53, this profile had amplification of many anti-apoptotic genes including survivin, MCL1 and XIAP. Modeling predicted sensitivity to the JAK inhibitor Tofacitinib, a drug approved for rheumatoid arthritis. This was prospectively validated ex vivo, and the experimental data correlated with the prediction showing a reduction in viability. P2 aberrations include losses in chromosomes X and 9 and a chromosome 11:14 translocation that is a common occurrence in MM. This translocation results in an amplification of CCND1 expression. The genomic aberrations reported include knockdown of tumor suppressors RXRA, TGFBR1, TJP2 and TSC1. TSC1 regulates the mTOR pathway, and its deletion causes an aberrant activation of mTOR and its downstream targets. Reduced expression of RXRA and TJP2 both in different manners leads to increase in AP1 activation. NFkB is also activated due to RXRA reduction. TGFBR1 reduction decreases the expression of cell cycle inhibitors via SMAD2/3 down-regulation. In this patient avatar, modeling predicted sensitivity to a combination of Sirolimus and Trametinib. Ex vivo validation confirmed this prediction of additive synergy of these two drug agents in the context of this patient. Conclusions This study demonstrates and validates the personalization of treatment through two patient cases based on creating predictive simulation avatar models using genomic profile information. This modeling holistically incorporates all genomic aberration information and is not limited to associating drugs to actionable mutations. Disclosures Doudican: Cellworks: Research Funding. Vali:Cellworks: Employment. Basu:Cellworks: Employment. Kumar:cellworks: Employment. Singh:Cellworks: Employment. Sultana:Cellworks: Employment. Abbasi:Cellworks: Employment, Equity Ownership.

Description: Introduction The incidence of multiple myeloma (MM) increases with age, yet some cytogenetic changes are actually more common in younger patients with MM (Avet-Loiseau J Clin Oncol 2013).  This suggests that a mechanism other than chromosomal changes underlies the increased incidence with age.  Senescent cells secrete a number of proinflammatory cytokines, chemokines, growth factors and proteases resulting in the senescence-associated secretory phenotype (SASP), which can promote tumor growth.  Preclinical data suggests that myeloma bone marrow stromal cells express the SASP (Andre PLOS ONE 2013). We hypothesized that SASP factors correlate with age in patients with MM. Methods Peripheral blood serum and matched bone marrow aspirate plasma from patients with multiple myeloma were evaluated for selected factors associated with the SASP using quantitative multiplex immunoassay (Rules Based Medicine, Austin TX USA).  SASP factors with a known role in MM [interleukin-6 (IL-6), interleukin-8 (IL-8), interleukin-15 (IL-15), granulocyte-macrophage colony-stimulating factor (GMCSF), intercellular adhesion molecule 1(ICAM1), osteoprotegerin (OPG), hepatocyte growth factor (HGF), insulin-like growth factor-binding protein(IGFBP-1), interleukin-1 beta (IL1b), monocyte chemotactic protein 1(MCP-1), macrophage inflammatory protein-1 alpha(MIP-1a), angiogenin, leptin,  vascular endothelial growth factor receptor 1(VEGFR1) and stem cell factor(SCF)] were selected. The relationship between age and SASP factors were analyzed using Kendall tau rank correlation coefficient. Results Samples from 25 patients (each with peripheral blood serum and matched bone marrow aspirate plasma) were analyzed.  The median age was 62 (range 47 - 74). Disease states were as follows: 36% newly diagnosed/untreated, 24% pretransplant and 40% relapsed.  ISS stage included 40% stage I, 28% stage II and 32% stage III.  Three of the selected SASP factors in the peripheral blood correlated   with age:  IL-8 (Kendall Tau 0.334, p=0.027), OPG (Kendall Tau 0.289, p=0.046) and MCP-1 (Kendall Tau 0.332, p=0.022).  No SASP factors tested in the bone marrow plasma were significantly correlated with age. Conclusions We demonstrated age-associated differences in the SASP factors IL-8, OPG and MCP-1 in the peripheral blood of myeloma patients.  Future research will examine differences between patients with myeloma and age-matched controls without cancer. Disclosures: Vij: Celgene : Honoraria, Research Funding, Speakers Bureau; Millennium: Honoraria, Speakers Bureau; Onyx: Honoraria, Research Funding, Speakers Bureau. Stockerl-Goldstein:Celgene : Speakers Bureau; Celgene : Speakers Bureau; Millennium: Speakers Bureau; Millennium: Speakers Bureau.

Description: Background: Over the past two decades, peripheral blood stem cells (PBSC) have surpassed bone marrow as the preferred graft source for adult allogeneic transplantation due to its more rapid engraftment and potentially better graft-vs-tumor effects, and because PBSC collection is much less invasive for the donor. The optimal CD34+ PBSC dose is ≥ 4.0x106cells/kg, but doses ≥ 8.0x106cells/kg are suggested by some for reduced-intensity conditioning and haploidentical transplants. There is no established minimum CD34+ PBSC dose, but doses below 2.0x106cells/kg have been associated with a higher risk of engraftment delay and failure. There is significant inter-donor variability in the ability to mobilize PBSCs. Several factors have been identified as predictors of PBSC mobilization in healthy donors including: gender, age, weight, body mass index (BMI), and blood counts before and after mobilization. The impact of the donor’s comorbidities on mobilization is currently unknown. Patients/Methods: We performed retrospective chart review of 488 consecutive adult patients who underwent apheresis for allogeneic stem cell donation at Washington University School of Medicine from 2006 through 2013. Patients who received any collection regimen other than 10mcg/kg of G-CSF daily with 20 liters (+/-10%) apheresis on Day 5 were excluded. Patients who had undergone a previous apheresis for stem cell donation were excluded. Univariate analysis was performed to identify predictors of CD34+ PBSC collection in a single apheresis. Variables analyzed were: gender; age; weight; BMI; donor-to-recipient weight ratio; pre and post-mobilization blood counts (white blood count [WBC], hematocrit, platelets, neutrophils, lymphocytes, and monocytes); pre-mobilization glucose and triglyceride levels; post-mobilization peripheral blood (PB) CD34+count; and medical history significant for hypertension, hyperlipidemia, or diabetes mellitus. Subsequently, a linear regression multivariate analysis was performed with all variables found to be significant in the univariate analysis. 2-tailed tests for significance were used throughout the analysis. Results: 304 patients met the eligibility criteria for analysis. The median age was 53 years (range 18-76), 90% were Caucasian, and 50% were male. The median number of CD34+ cells collected was 7.4 x106/kg (range 0.8-27.1). 97% (295) collected ≥ 2.0x106 CD34+cells/kg, 81% (247) collected ≥ 4.0x106 CD34+cells/kg, and 44% (134) collected ≥ 8.0x106 CD34+ cells/kg. Post-mobilization PB CD34+ count (r= 0.841, p

Description: Background: Maintenance therapy with lenalidomide post-autologous stem cell transplantation (ASCT) has shown to improve progression-free survival (PFS) in multiple myeloma (MM), and has largely become the standard of care. However, toxicity leads to early discontinuation in nearly one-third of patients and additional options are needed (McCarthy, et al, JCO, 2017). Ixazomib is another maintenance option that has been shown to improve PFS; however, studies comparing lenalidomide and ixazomib are lacking. In this randomized phase 2 study, we analyzed the safety and efficacy of using lenalidomide and ixazomib as part of consolidation and maintenance therapies after ASCT (NCT02253316). Methods: Eligible patients, age 18-70 with newly diagnosed MM undergoing ASCT during first-line treatment, were consented prior to ASCT. Approximately 4 months following ASCT, patients received 4 cycles of consolidation therapy with IRd [ixazomib 4 mg on days 1, 8 and 15 of a 28-day cycle, lenalidomide 15 mg on days 1 through 21, and dexamethasone 40 mg on days 1, 8 and 15]. Primary data on IRd consolidation were presented at ASH 2018 (Abstract 109920). One month after the last consolidation cycle, patients were randomized (1:1) to maintenance therapy with single-agent ixazomib (4 mg on days 1, 8 and 15 of a 28-day cycle) or lenalidomide (10 mg daily months 1-3 followed by 15 mg for months 4+). The arms were stratified based on MRD-status post-consolidation. In total, 237 patients were enrolled from 10 US centers. This abstract coincides with planned interim analysis 3 which is the first comparison of ixazomib and lenalidomide maintenance. While the study was not powered to compare PFS between the two arms, the sample will provide a reasonable power to estimate non-inferiority. There is a planned stopping rule for non-inferiority set at a hazard ratio of 〉1.3 in favor of lenalidomide. Secondary end-points include MRD-negativity following 12 cycles and toxicity. Results: At time of abstract submission, 215 patients had completed IRd consolidation and 191 had begun maintenance. 90 were randomized to ixazomib and 94 to lenalidomide. 7 patients were not randomized due to toxicity during consolidation; data from these patients are not included in the analyses. The characteristics of the two arms are summarized in Table 1. Hematologic toxicity has been infrequent with ixazomib with neutropenia and thrombocytopenia occurring in 11% and 23% of patients. In comparison, neutropenia and thrombocytopenia occurred in 45% and 35% of patients on lenalidomide. The most common non-hematologic toxicities in both arms have been GI-related and infections, both expected events. 16% of patients on ixazomib have experienced Grade 3-4 non-hematologic toxicity compared to 34% on lenalidomide. No grade 3 or higher peripheral neuropathy has been reported in either arm. 11% of patients on ixazomib have discontinued due to toxicity and another 9% have required a dose reduction to 3mg. Lenalidomide toxicity has led to discontinuation in 15% of patients and another 12% were dose reduced to 5mg. Only 45% of patients receiving 4+ cycles of lenalidomide were able to titrate to the 15mg dose. After a median follow-up of 11.2 months from randomization (19.7 months post-ASCT), 30% of patients on ixazomib have discontinued treatment due to disease progression. After a median follow-up of 12.3 months from randomization (20.2 months post-ASCT), 18% patients on lenalidomide have discontinued treatment due to disease progression. Conclusion: Ixazomib and lenalidomide maintenance have been well tolerated to date. A comparison of PFS is currently being conducted as part of interim analysis 3 and final results will be presented, representing the first report directly comparing lenalidomide and ixazomib maintenance. Table 1: Disclosures Vij: Genentech: Honoraria; Karyopharm: Honoraria; Celgene: Honoraria, Research Funding; Bristol-Myers Squibb: Honoraria, Research Funding; Takeda: Honoraria, Research Funding; Janssen: Honoraria; Sanofi: Honoraria. Martin:Amgen, Sanofi, Seattle Genetics: Research Funding; Roche and Juno: Consultancy. Fiala:Incyte: Research Funding. Deol:Novartis: Other: Advisory board; Kite: Other: Advisory board; Agios: Other: Advisory board. Kaufman:Celgene: Consultancy; Winship Cancer Institute of Emory University: Employment; Amgen: Consultancy; Bristol-Myers Squibb: Consultancy; Pharmacyclics: Membership on an entity's Board of Directors or advisory committees; AbbVie: Consultancy; Janssen: Honoraria; Incyte: Consultancy; Karyopharm: Membership on an entity's Board of Directors or advisory committees; TG Therapeutics: Consultancy; Takeda: Consultancy. Hofmeister:Karyopharm: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees; Oncopeptides: Membership on an entity's Board of Directors or advisory committees; Celgene: Honoraria; Nektar: Honoraria, Membership on an entity's Board of Directors or advisory committees; Imbrium: Membership on an entity's Board of Directors or advisory committees. Gregory:Poseida: Research Funding; Celgene: Speakers Bureau; Amgen: Speakers Bureau; Takeda: Speakers Bureau. Berdeja:AbbVie Inc, Amgen Inc, Acetylon Pharmaceuticals Inc, Bluebird Bio, Bristol-Myers Squibb Company, Celgene Corporation, Constellation Pharma, Curis Inc, Genentech, Glenmark Pharmaceuticals, Janssen Biotech Inc, Kesios Therapeutics, Lilly, Novartis, Poseida: Research Funding; Poseida: Research Funding; Amgen Inc, BioClinica, Celgene Corporation, CRISPR Therapeutics, Bristol-Myers Squibb Company, Janssen Biotech Inc, Karyopharm Therapeutics, Kite Pharma Inc, Prothena, Servier, Takeda Oncology: Consultancy. Chari:Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Bristol-Myers Squibb: Consultancy; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Millennium/Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Karyopharm: Consultancy, Membership on an entity's Board of Directors or advisory committees; Array Biopharma: Research Funding; GlaxoSmithKline: Research Funding; Novartis Pharmaceuticals: Research Funding; Oncoceutics: Research Funding; Pharmacyclics: Research Funding; Seattle Genetics: Membership on an entity's Board of Directors or advisory committees, Research Funding; Sanofi: Membership on an entity's Board of Directors or advisory committees. Rosko:Vyxeos: Other: Travel support.

Description: Introduction: CD34+-selected peripheral blood stem cell infusions without conditioning have recently been utilized for poor graft function (PGF) with promising results. Unfortunately, many patients have been unable to receive the boost infusion as their donors were unwilling or unable to undergo an additional stem cell collection. Therefore, we conducted this pilot trial utilizing either fresh or cryopreserved peripheral blood stem cell products to create CD34+-selected peripheral blood stem cell infusions for the treatment of PGF. Additionally, to explore relationship of CD34+ dose and response we included a cohort of donors mobilized with plerixafor in addition to the standard G-CSF. Methods: Poor graft function (PGF) was defined as ANC 〈 0.5k/μL, platelets 〈 30k/μL, or platelet or RBC transfusion dependence despite full donor chimerism and in the absence of GVHD more than 60 days following allogeneic stem cell transplant (allo-SCT). Three different donor products were used for CD34+ selection: (1) fresh mobilized product using G-CSF only (SC at a dose of 10 μg/kg daily for 5 days), (2) fresh mobilized products using G-CSF (SC at a dose of 10 μg/kg daily for 5 days, days-4 through day 0) and plerixafor (IV at a dose of 320 μg/kg on day 0), and (3) cryopreserved cells mobilized with G-CSF (SC at a dose of 10 μg/kg daily for 5 days). Seventeen donor-recipient pairs were enrolled onto this prospective study. The original allo-SCT donor either underwent an additional peripheral blood stem cell (PBSC) mobilization and collection with G-CSF only (n=5) or G-CSF plus plerixafor (n=9) or a cryopreserved product (n=3) from a previous collection (using G-CSF only) was used to create the CD34+ cells for infusion. CD34+ cell selection was performed using a CliniMACS. The infusion was not preceded by administration of any chemotherapy or conditioning regimen. Neutrophil improvement was defined as neutrophil count 〉 500/μl without growth factor support for 〉7 days; platelet improvement was defined as platelet count ≥ 50,000/µl without platelet transfusion support for 〉 7 days; and RBC improvement was defined as hemoglobin 〉 9 g/dL and transfusion independence. Complete response was defined as improvement of all involved cells lines; partial response was defined as improvement of platelets and/or neutrophils with continuing RBC transfusion dependence. Results: The mean post-selection CD34+ count per kg of recipient weight was 3.7x106, 12x106, and 1.7x106 for G-CSF only, G-CSF plus plerixafor, and cryopreserved products, respectively. Mean CD34+ yields (defined as the number of CD34+ cells after selection/CD34+ cells prior to CD34 selection) was 58%, 67%, and 31% for G-CSF only, G-CSF plus plerixafor, and cryopreserved products, respectively (Table 1 and Figure 1). The mean number of CD3+ T cells/kg infused in each product was 0.004 x 106, 0.032 x 106, and 0.015 x 106 for G-CSF only, G-CSF plus plerixafore and cryopreserved groups respectively (Table 1). Following the CD34+-selected stem cell infusion, 12 of the 17 recipients (71%) had a complete response including all 3 who received cryopreserved products; 3 had a partial response (17%) and 2 patients (12%) did not respond. One year relapse-free and overall survival was 71% and 65%. There was no treatment related toxicity reported other than graft-versus-host-disease (GVHD); three (18%) developed acute GVHD (1 grade I localized to the skin, 2 grade II with gut involvement), 6 chronic GVHD (2 limited and 4 extensive) (Table 1). Conclusion: Cryopreserved products seem to be a viable alternative to create CD34+ -selected peripheral blood stem cell infusions for the treatment of PGF. When collecting fresh products is an option, the addition of plerixafor increases CD34+ yield over G-CSF alone. Disclosures Abboud: Teva Phamaceutical: Research Funding. Uy:Novartis: Research Funding.

Description: Background: Black patients with multiple myeloma (MM) have poorer outcomes than their white counterparts. This has largely been attributed to reduced access to health care; however, little data exists comparing the disease and overall health status at MM presentation between the two races. More severe disease burden, symptom burden, or comorbidities could also explain the differences in outcome. Objective: To compare disease burden, symptom burden, and comorbidities between black and white patients with MM. Methods: Two datasets were analyzed: 1) the Multiple Myeloma Research Foundation (MMRF) CoMMpass study interim analysis 6, and 2) the Surveillance, Epidemiology, and End Results-Medicare Health Outcomes Survey (SEER-MHOS) 2015 dataset (SEER years 1973-2011; MHOS years 1998-2013). The CoMMpass dataset included 625 patients who completed the EORTC QLQ-C30 and QLQ-MY20 at MM diagnosis. The SEER-MHOS dataset included 377 patients who completed the HOS survey the year of or year prior to MM diagnosis. All patients identified as a race other than white or black/African American were excluded. Data was analyzed using SPSS 21. Categorical variables were compared using χ2, continuous with the Mann-Whitney U test. Results: CoMMpass: 585 patients were eligible for analysis. 477 (82%) were white, 108 (19%) were black. Whites and blacks were similar in median age, but a significantly higher percentage of white patients were female (p=0.027). Overall, black patients were more likely to be stage III (p=0.041), have higher LDH (p=0.006) and creatinine (p=0.001), and lower hemoglobin (p

Description: Background: The clinical presentation of multiple myeloma (MM) varies greatly but often includes bone pain, anemia, renal dysfunction, hypercalcaemia, and/or constitutional symptoms. There are no signs or symptoms that are disease specific. The earliest staging system for MM, the Durie-Salmon (DS), associated disease and symptom burden with prognosis; however, it has been largely replaced by the International Staging System (ISS), which is easier to compute and better identifies patients with the poorest prognosis. It is unclear if ISS stage, like DS, is associated with disease or symptom burden. Objective: To compare disease and symptom burden of patients with newly diagnosed MM by ISS Stage. Methods: Data was extracted from the open-access Multiple Myeloma Research Foundation (MMRF) Researcher Gateway corresponding with interim analysis 6 from the CoMMpass study. The CoMMpass study is enrolling 1000 newly diagnosed MM patients who will be tracked longitudinally for 5 years. CoMMpass collects relevant clinical data and patient reported quality of life (EORTC QLQ-C30 and QLQ-MY20), as well as sequential tissue samples. Eligibility requirements for CoMMpass include: symptomatic MM with measureable disease by SPEP (≥1.0g/dL), UPEP (≥200mg/24 hours), or SFLC (≥10mg/dL); receiving an immunomodulator and/or a proteasome inhibitor for initial MM treatment; and no prior malignancies in the past 5 years. All clinical data was reported by trained data analysts at the enrolling center with the exception of flow cytometry which was performed centrally; raw lab values for beta-2 microglobulin and albumin were entered and stage was subsequently calculated by the analysts for this study according to the ISS (Greipp et al, JCO 2005). Twenty-six patients with unknown ISS were excluded from the analysis. Data was analyzed using SPSS 21. Categorical variables were compared using χ2, continuous with one-way ANOVA tests. Results: 599 patients were eligible for analysis. Sex, race, and heavy and light chain isotypes were all evenly distributed among the ISS stages; however, median age for ISS stage III was 67, 65 for stage II and 62 for stage I (p

Description: Background: The need to repeat peripheral blood stem cell (PBSC) mobilization and collection arises infrequently in healthy donors, but may be required due to insufficient initial collection, graft failure, or relapse of the recipient’s disease. Currently no published data exists on the efficacy of remobilization of healthy PBSC donors. Studies of remobilization in patients undergoing autologous transplantation (ASCT) have largely focused on the use of alternative mobilization agents such as chemotherapy or plerixafor. Boeve et al (Bone Marrow Transplant, 2004) reported that remobilization with G-CSF in patients undergoing ASCT who failed initial mobilization with G-CSF, resulted in higher numbers of CD34+ cells collected than the initial collection, though this required a doubling of the dose of G-CSF. Patients/Methods: We performed retrospective chart review of 977 consecutive adult (〉18 yrs) donors who underwent apheresis for PBSC donation at Washington University School of Medicine from 1995 through 2013. We identified 66 donors who had undergone more than one mobilization. Two cohorts of donors were identified for analysis: Group 1 included donors mobilized initially and again subsequently with G-CSF (10 ug/kg/day), or GM-CSF (5 ug/kg/day) + G-CSF (10 ug/kg/day). Group 2 consisted of donors mobilized with a CXCR4 antagonist, plerixafor (240-320 ug/kg) or POL6326 (1000-2500 ug/kg), and subsequently were remobilized with G-CSF (10 ug/kg/day). Statistical Analysis: Spearman correlations were performed to analyze the relationship between peak peripheral blood (PB) CD34+/uL level; the number of CD34+ cells collected per kg (recipient weight); and the number of CD34+ cells per L of apheresis collected during initial mobilization (MOB1) and remobilization (MOB2); and the interval (days) between MOB1 and MOB2. One-way ANOVA with repeated measures analyses were performed to determine the relationship of PB CD34+/uL, CD34+/kg and CD34+/L during MOB1 and MOB2. Results: Group 1 included 30 donors. The median age was 49 years (range 18-75) and 15 were male. The median number of days between MOB1 and MOB2 was 140 (range 26-2238). All 30 donors were remobilized due to graft failure or relapse of the recipient’s disease. PB CD34+/uL, CD34+/kg and CD34+/L all correlated between MOB1 and MOB2. The mean PB CD34/uL at MOB1 was 69 compared to 37 at MOB2 (p= 0.029); the mean CD34/kg collected at MOB1 was 5.6x106 compared to 3.3x106 at MOB2 (p= 0.002); and the mean CD34/L collected at MOB1 was 24.0x106 compared to 17.6x106at MOB2 (p= 0.023). The interval between MOB1 and MOB2 did not correlate with any of the MOB2 variables. Results from the analysis are summarized in Table 1. Group 2 included 32 donors. The median age was 51 years (range 21-67) and 18 were male. The median number of days between MOB1 and MOB2 was 20 (range 4-1123). 18 donors were remobilized due to mobilization failure, while 14 were remobilized due to graft failure or relapse of the recipient’s disease. The mean PB CD34/uL at MOB1 was 15 compared to 68 at MOB2 (p〈 0.001); the mean CD34/kg collected at MOB1 was 2.5x106 compared to 7.1x106 at MOB2 (p〈 0.001); and the mean CD34/L collected at MOB1 was 10.6x106 compared to 30.1x106at MOB2 (p〈 0.001). The interval between MOB1 and MOB2 did not correlate with any of the MOB2 variables. Results from the analysis are summarized in Table 2. Conclusion: Remobilization with G-CSF or GM-CSF and G-CSF after initial successful mobilization with the same regimen results in poorer mobilization while remobilization with G-CSF after initial mobilization with a CXCR4 antagonist results in dramatically improved mobilization. The reason for this remains unclear, but in this study the interval between collections was not associated with successful remobilization. Abstract 850. Table 1 Group 1 MOB 1 MOB 2 One-way ANOVA Spearman Correlation PB CD34/ul 69 (13-417) 37 (1-115) F(1.0, 29.0) = 5.26, p= 0.029 r= 0.615, p〈 0.001 CD34/kg (x106) 5.6 (0.8-13.8) 3.3 (0.3-10.6) F(1.0, 29.0) = 11.77, p= 0.002 r= 0.483, p= 0.007 CD34/L (x106) 24.0 (4.5-72.0) 17.6 (2.8-41.3) F(1.0, 29.0) = 5.74, p= 0.023 r= 0.566, p〈 0.001 Abstract 850. Table 2 Group 2 MOB 1 MOB 2 One-way ANOVA Spearman Correlation PB CD34/ul 15 (2-54) 68 (14-358) F(1.0, 31.0) = 23.16, p〈 0.001 r= 0.433, p= 0.013 CD34/kg (x106) 2.5 (0.2-19.7) 7.1 (1.7-42.4) F(1.0, 31.0) = 33.84, p〈 0.001 r= 0.769, p〈 0.001 CD34/L (x106) 10.6 (1.4-67.1) 30.1 (6.0-165.0) F(1.0, 31.0) = 34.70, p〈 0.001 r= 0.774, p〈 0.001 Disclosures No relevant conflicts of interest to declare.

Description: Background: Bone lesions and extramedullary plasmacytomas, present in ~70% and ~15% of multiple myeloma (MM) patients at diagnosis, respectively, are a major source of morbidity. Extensive bone or extramedullary disease is often associated with severe pain, fracture, or spinal cord compression requiring immediate medical attention. Palliative radiation to the afflicted area(s) can provide relief or reduction of the associated symptoms. The presence of bone lesions or extramedullary plasmacytomas at MM diagnosis have been linked to poorer prognosis, but to date, the prognosis of patients with extensive bone or extramedullary disease requiring radiotherapy during front-line treatment is unclear. In a single institution retrospective study of 162 newly diagnosed MM patient’s, including 87 who received front-line radiotherapy, Yaneva, et al (J Buon, 2006) found no survival difference between patients who received radiotherapy during front-line treatment and those who did not. Methods: Using the SEERStat software, we extracted the case listings of 85,115 patients diagnosed with MM from 1973 through 2010 in Surveillance Epidemiology and End Results (SEER)-18 registries database based on the November 2012 submission. Children (under 18 years old) were excluded. Autopsy or death certificate only cases were excluded. As non-black minorities have been historically underrepresented in the SEER databases, patients identified as any race other than white or black were excluded. Patients were followed for OS through December 2011. Disease-specific-survival was defined as death from myeloma. Patients were classified as having radiotherapy during front-line treatment or not. Patients who refused radiotherapy (n = 184) or for whom radiotherapy status was unknown (n = 973) were excluded. Results: 77,714 patients were eligible for analysis. The median age at diagnosis was 70 years (range 18-85+); 54% were male; 19% were black. The median follow-up was 22 months (range 0-441). 25% (n = 19,295) of patients received radiotherapy during front-line treatment. Radiotherapy during front-line treatment was more common among patients under the age of 60 at diagnosis (30.9% vs 21.4%; p 〈 0.001), white patients (25.5% vs 21.8%; p 〈 0.001), and male patients (26.2% vs 23.2%; p 〈 0.001). The frequency of radiotherapy during front-line treatment decreased in the most recent decade (22.8% vs 27.3%; p 〈 0.001). Patients who received radiotherapy during front-line treatment had an estimated median disease-specific-survival of 38 months compared to 46 months for patients without (p 〈 0.001). In a multivariate cox regression model of age, race, sex, and radiotherapy during front-line treatment, all four variables were independently significant (Table 1). Radiotherapy was associated with a 17% (95% CI 15-20) increase in disease-specific mortality. The impact of radiotherapy was relatively stable over the time frame studied (Table 2). Conclusions: Radiotherapy during front-line treatment, a surrogate for extensive bone or extramedullary disease at MM diagnosis, is independently associated with increased disease-specific mortality. It has remained a relatively stable predictor of poorer prognosis throughout the timeframe tested, suggesting that MM treatment advances have not overcome the poor prognosis associated with extensive bone lesions or extramedullary disease at MM diagnosis. Table 1 Multivariate Overall Survival Analysis Overall Age HR1 (95% CI) p value