Citations 540

Survival Trends in Young Patients with Waldenstrom Macroglobulinemia: Over 5 Decades of Experience

Blood | October 12, 2019 | Volume: 128 | Issue: 22 | Pages: 1810-1810

10.1182/blood.v128.22.1810.1810

Abstract Background Waldenstrom macroglobulinemia (WM) is an IgM-associated lymphoplasmacytic lymphoma, first described over seven decades ago. Although WM is typically a disease of the elderly, with a median age at diagnosis of ~ 67 years, approximately 10% of patients are ≤50 years (y) of age at diagnosis. Data for young patients are sparse and the few available studies demonstrate inconsistent findings, with potential overestimation of survival owing to inclusion of patients with smoldering WM. In this case-control study, we evaluate outcomes, prognostic features and impact of changing therapies in a large cohort of young symptomatic WM patients compared to matched older patients seen over the course of the past five decades. Methods The medical records of all WM patients seen consecutively at Mayo Clinic from 01/1960 to 10/2013 were reviewed. Of 1181 patients, 140 (11.8%) were ≤ 50 y of age at diagnosis. A cohort of patients 65 y or older at diagnosis, matched 1:1 by the time of diagnosis, served as the control population. The patients were divided into 3 groups based on the timing of initiation of therapy: Group 1 (1960-1977), Group 2 (1978-1995) and Group 3 (1996-2013). The baseline characteristics were compared. Initiation of frontline therapy was used for all time-to-event analysis using the Kaplan Meier method. Results Younger patients were more likely to present with adenopathy and splenomegaly, have higher IgM levels and hyperviscosity symptoms (Table 1). The median follow-up from the frontline therapy was similar (10.7 y vs. 10 y for the control population). At the time of analysis, 91% of the deaths for the younger cases were WM-related compared to 58% in the control arm (p=0.0001). Younger patients had a better OS with a median disease-specific survival (DSS) of 15.6 y (95% CI: 13-21; 10-y OS of 77%) vs. 11 y (95% CI: 7.8-12; 10-y OS of 51%) for the older patient (p=0.0003). Among the young patients, there was no difference in the median DSS across the 3 groups (p=0.42). However, the median DSS for the control group incrementally improved (p=0.02) over the 3 time periods (Table 1). In the younger patients, no improvement in DSS was noted with the use of either frontline rituximab-based therapy compared to non-rituximab based regimens [median NR (95% CI: 7.6-NR) vs. 15.8 y (95% CI: 13-22) with other regimens, p=0.30], or frontline chlorambucil-based compared to non-chlorambucil based regimens [median 16 y (95% CI: 12-22) vs 15.6 y (95% CI: 12-NR) with other regimens, p=0.73]. In the control group, however, there was significant difference in DSS among patients who received frontline rituximab-based compared to non-rituximab based regimens [median NR (95% CI: 8.3-NR) vs 9.1 y (95% CI: 5.6-12) with other regimens, p=0.04], or frontline chlorambucil-based vs non-chlorambucil based regimens [8 y (95% CI: 5-12) vs 12.3 y (95% CI: 11-NR) in other regimens; p=0.001]. Conclusion Striking differences in presentation are evident in young WM patients compared to their older counterparts. The incorporation of rituximab to the previously existing anti-WM regimens and the transition to non-chlorambucil based regimens has resulted in substantial survival gains in the older WM population over the past five decades. However, such improvement in outcome has not yet been observed in the young patients. The majority of younger patients, despite a protracted disease course, succumb to their disease. Disclosures Ansell: BMS, Seattle Genetics, Merck, Celldex and Affimed: Research Funding. Ailawadhi:Pharmacyclics: Consultancy; Novartis: Consultancy; Amgen Inc: Consultancy; Takeda Oncology: Consultancy. Reeder:Novartis: Research Funding; Celgene: Research Funding; BMS: Research Funding; Millennium: Research Funding. Kumar:Kesios: Consultancy; Janssen: Consultancy, Research Funding; Sanofi: Consultancy, Research Funding; AbbVie: Research Funding; BMS: Consultancy; Onyx: Consultancy, Research Funding; Glycomimetics: Consultancy; Millennium: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Noxxon Pharma: Consultancy, Research Funding; Array BioPharma: Consultancy, Research Funding; Skyline: Honoraria, Membership on an entity's Board of Directors or advisory committees. Dispenzieri:Alnylam: Research Funding; Celgene: Research Funding; Takeda: Membership on an entity's Board of Directors or advisory committees, Research Funding; Prothena: Membership on an entity's Board of Directors or advisory committees; GSK: Membership on an entity's Board of Directors or advisory committees; pfizer: Research Funding; Jannsen: Research Funding. Kapoor:Celgene: Research Funding; Takeda: Research Funding; Amgen: Research Funding.
Bendamustine and Rituximab Versus Dexamethasone, Rituximab and Cyclophosphamide in Patients with Waldenstrom Macroglobulinemia (WM)

Blood | October 12, 2019 | Volume: 128 | Issue: 22 | Pages: 2968-2968

10.1182/blood.v128.22.2968.2968

Abstract Background Bendamustine/rituximab (BR) and dexamethasone/rituximab/cyclophosphamide (DRC) combination therapy are acceptable options for the treatment of WM, both in the frontline or salvage setting. Prospective data, however, are only available in treatment-naïve (TN) WM patients, and no direct comparison between BR and DRC has been reported. We compared outcomes of BR and DRC in relapsed/refractory (R/R) and TN WM patients seen at a single institution. Methods Records of WM patients seen consecutively at Mayo Clinic from 01/2007 to 12/2014 were reviewed. The MYD88L265P status, as assessed by AS-PCR, was recorded when available. The data obtained from symptomatic patients treated with DRC or BR were analyzed. The time-to-event analyses were performed from DRC or BR therapy using the Kaplan-Meier method. We used the Consensus criteria (6th International Workshop) for response assessment. Results Of 160 WM patients, 60 patients received BR (73% in R/R setting) and 100 patients received DRC (50% in R/R setting). In the R/R population, BR was the 2nd line (range 2-11) therapy in 47% of patients, while DRC was 2nd line (range 2-8) in 58% of patients. Rituximab monotherapy was the only prior line of therapy in 8 (20%) patients in the BR group and 20 (40%) in the DRC group (p=0.66). Baseline characteristics were similar in patients treated with BR or DRC (Table 1). Six patients received both BR and DRC during their disease course and overlapped between the 2 cohorts. Among the previous untreated patients, the median IgM levels decreased from 3,785 mg/dL to 724 mg/dL (p=0.0001) at best response with BR, while it decreased from 4,130 mg/dL to 1,250 mg/dL (p=0.001) with DRC. The median time to best response was 6.1 (1-25) months in the BR group and 11 (0.5-47) months in the DRC group (p=0.13). For patients treated with BR, the overall response rate (ORR) was 93% [VGPR 29% (n=4), PR 57% (n=8), MR 7% (n=1)]. One patient (7%) had progressive disease. For patients treated with DRC, ORR was 96% [VGPR 17% (n=8), PR 70% (n=32), MR 9% (n=4)]. One patient (4%) achieved SD. Median follow up in the BR and DRC groups were similar (30 months). The 2-year progression-free survival (PFS) was 88% and 61% in the BR and DRC groups, respectively (p=0.08). The 2-year time-to-next therapy (TTNT) was 88% and 76% in the BR and DRC groups, respectively (p=0.35). Median PFS, TTNT and disease specific survival (DSS) were not reached with either regimen. In the R/R setting, the median IgM levels decreased from 3,880 mg/dL to 659 mg/dL (p=0.0001) at best response with BR, and from 3,870 mg/dL to 1,846 mg/dL (p=0.001) with DRC. The median time to best response was similar [7 (1-39) months with BR and 7 (0.5-28) months with DRC (p=0.77)]. For patients treated with BR, ORR was 95% [CR 3% (n=1), VGPR 38% (n=14), PR 41% (n=15), MR 13% (n=5)]. Two patients (5%) had progressive disease. With DRC, the ORR was 87% [VGPR 4% (n=2), PR 64% (n=30), MR 19% (n=9)]. Four patients (9%) achieved SD and 2 patients (4%) had progressive disease. Median follow up from BR was 32 months and 51 months from DRC (p=0.24). The 2-year PFS was 66% and 53% in the BR and DRC groups, respectively (p=0.08). The 2-year TTNT was 75% and 68% in the BR and DRC groups, respectively (p=0.24). The median DSS in the BR group was 69 months (95% CI: 65-69) and NR (95% CI: NR-NR) in the DRC group (p=0.57). The proportion of patients with R/R disease was significantly higher in the BR cohort (Table 1). In a bivariate analysis of the entire cohort for PFS, incorporating the setting (TN vs. RR) and the regimen involved (BR vs. DRC), the latter emerged as a significant factor (hazard ratio 0.52, p=0.019) in favor of BR. Time-to-event outcomes and response rates were similar in the MYD88L265P and MYD88WT patients. Grade ≥ 3 adverse events were neutropenia (12%), infections (7%) and nausea/vomiting (2%) with BR, and neutropenia (20%), thrombocytopenia (7%) and infections (3%) with DRC. Conclusions Although both DRC and BR regimens show activity and comparable toxicities, BR regimen shows a trend for superior PFS in WM patients, both in the TN and R/R setting. No difference was seen in TTNT. MYD88 L265P mutation status does not appear to impact activity of BR or DRC. Randomized controlled trial(s) are needed to confirm our findings. Disclosures Ailawadhi: Pharmacyclics: Consultancy; Novartis: Consultancy; Amgen Inc: Consultancy; Takeda Oncology: Consultancy. Ansell:BMS, Seattle Genetics, Merck, Celldex and Affimed: Research Funding. Reeder:Millennium: Research Funding; BMS: Research Funding; Novartis: Research Funding; Celgene: Research Funding. Dispenzieri:Jannsen: Research Funding; Takeda: Membership on an entity's Board of Directors or advisory committees, Research Funding; pfizer: Research Funding; Prothena: Membership on an entity's Board of Directors or advisory committees; Celgene: Research Funding; Alnylam: Research Funding; GSK: Membership on an entity's Board of Directors or advisory committees. Kumar:Sanofi: Consultancy, Research Funding; Janssen: Consultancy, Research Funding; AbbVie: Research Funding; Array BioPharma: Consultancy, Research Funding; BMS: Consultancy; Kesios: Consultancy; Glycomimetics: Consultancy; Skyline: Honoraria, Membership on an entity's Board of Directors or advisory committees; Noxxon Pharma: Consultancy, Research Funding; Millennium: Consultancy, Research Funding; Onyx: Consultancy, Research Funding; Celgene: Consultancy, Research Funding. Kapoor:Celgene: Research Funding; Takeda: Research Funding; Amgen: Research Funding.
Necrobiotic Xanthogranuloma (NXG) Associated with Monoclonal Gammopathies (MG): Clinical Features and Treatment Outcomes

Blood | October 12, 2019 | Volume: 126 | Issue: 23 | Pages: 1830-1830

10.1182/blood.v126.23.1830.1830

Abstract BACKGROUND: Necrobiotic Xanthogranuloma (NXG) is a rare chronic granulomatous disorder of the skin associated with monoclonal gammopathies (MG). Due to its rarity, data on response to various therapies are largely limited to single case reports or small case series. Hence, we described the clinical features in patients with NXG and MG as well as their subsequent disease course and response to treatment. METHODS: This was a retrospective study evaluating 35 patients with NXG and coexisting MG from 1994-2015 who were evaluated in the Hematology Outpatient Clinic at the Mayo Clinic, Rochester. All patients had a biopsy proven diagnosis of NXG with the concurrent presence of a serum monoclonal gammopathy. RESULTS: The median age at diagnosis was 56 years (range: 26-88). Most patients had a plasma cell dyscrasia (28 MGUS; 5 Smoldering myeloma) while 2 had chronic lymphocytic leukemia. Themost common monoclonal (M) protein was IgG kappa (60%). The median M-spike was 1.1 g/dL (range: 0-3). The most common site of NXG was periocular (66%). All patients received treatment, with over half requiring >3 different lines of treatment. The treatments were heterogeneous and included excision, intra-lesional injection, radiotherapy as well as systemic treatment. The types of systemic treatment used and clinical response are reported in Table 1. The median follow up was 46 months (range: 4-234) and the median survival was not reached but at the time of analysis 80% were still alive. At last follow-up, 80% of patients had signs of either clinical improvement or stable skin disease. Eight patients (23%) had disease progression to multiple myeloma at a median of 67 months (Range: 21 - 107). CONCLUSIONS: We report the clinical findings and treatment outcomes of one of the largest series of patients with NXG associated with MG. The clinical course is generally indolent but malignant transformation is not uncommon. Cutaneous objective responses can be achieved with various systemic agents used in the treatment of lymphoproliferative malignancies. Table 1. Treatment Types and Clinical Response Rates Treatment No of patientsA Clinical Benefit Rate B Response rateC Chemotherapy - Chlorambucil +/- Steroids - Melphalan/Steroids - Cytoxan/Steroids - Cladribine - Vincristine/doxorubicin/dexamethasone - High dose therapy with stem cell rescue - Fludarabine/cyclophosphamide/rituximab 5 3 4 3 2 3 1 2/5 (40%) 0/3 (0%) 1/4 (25%) 1/3 (33%) 1/2 (50%) 2/3 (67%) 1/1 (100%) 1/5 (20%) 0/3 (0%) 0/4 (0%) 1/3 (33%) 0/2 (0%) 2/3 (67%) 1/1 (100%) Novel agents - Thalidomide +/- Steroids - Lenalidomide +/- Steroids - Bortezomib +/- Steroids - Bortezomib/Lenalidomide/Dexamethasone 11 14 4 1 5/11 (45%) 10/14 (71%) 2/4 (50%) 1/1 (100%) 4/11 (36%) 7/14 (50%) 1/4 (25%) 1/1 (100%) Intravenous immunoglobulin 4 3/4 (75%) 2/4 (50%) Systemic steroids alone 11 4/11 (36%) 4/11 (36%) Rituximab 6 2/6 (33%) 1/6 (17%) AntibioticsD 3 0/3 (0%) 0/3 (0%) ImmunosuppressantsE 6 1/6 (17%) 0/6 (0%) ANo of patients who underwent a particular therapy amongst the 35 patients in the study cohort. BClinical Benefit: Improvement or stable skin disease CResponse: Improvement in skin disease DAntibiotics: Fluoroquinolones, Tetracycline EImmunosuppressants: Cyclosporine, Methotrexate, Plaquenil Disclosures Kumar: Celgene, Millennium, Onyx, Novartis, Janssen, Sanofi: Research Funding; Celgene, Millennium, Onyx, Janssen, Noxxon, Sanofi, BMS, Skyline: Consultancy; Skyline, Noxxon: Honoraria.
Randomized Phase 2 Trial of Two Different Doses of Ixazomib in Patients with Relapsed Multiple Myeloma Not Refractory to Bortezomib

Blood | October 12, 2019 | Volume: 126 | Issue: 23 | Pages: 3050-3050

10.1182/blood.v126.23.3050.3050

Abstract Background: Ixazomib is an experimental, orally bioavailable, proteasome inhibitor that has demonstrated anti-tumor activity in relapsed multiple myeloma (MM). In the dose escalation studies, ixazomib was tolerated up to a dose of 5.5 mg given every week as a single agent, while a dose of 4 mg was utilized in the combination studies with lenalidomide. We undertook this study to examine the efficacy and tolerability of the two doses of ixazomib in combination with dexamethasone in patients with relapsed MM. Patients and methods: This was a randomized phase 2 study of two doses of ixazomib (4mg; Arm A or 5.5 mg; Arm B) given weekly for three weeks with a week off along with weekly dexamethasone (40 mg) in patients with relapsed MM, who are proteasome inhibitor na•ve (including bortezomib) or have received less than 6 cycles of therapy with bortezomib and had a PR or better with no progression at the time of discontinuation. The primary objective was to determine the confirmed overall response rate (>=PR); secondary objectives included progression free and overall survival. A total of 71 patients were accrued from February 2013 to April 2015; one patient was ineligible. Results: Baseline characteristics were similar in the two arms; median age across the study was 70 years (46-84); 53% were male. Median number of prior therapies was 4 (range 2-6); 90% of the patients had prior IMiDs, 70% had prior transplant and 29% had prior bortezomib. At a median follow up of 10 months, 17 (49%) and 19 (54%) of patients had disease progression in arms A and B respectively with 12 (34%) patients in each arm still continuing on treatment. All patients in each arm were evaluable for response; the overall response rates were 31% in arm A (95%CI: 17-49) and 51% (95%CI: 34-69) in Arm B. The depth of response, event free survival and overall survival are outlined in Table 1. Among the patients with no prior bortezomib exposure the response rates were 38% for Arm A and 52% for Arm B. The treatment was well tolerated with 2 patients in each arm discontinuing treatment for adverse events; there were no on study deaths. A grade 3 or higher AE that was at least possibly related to treatment was seen in 21% and 54% in Arms A and B respectively; with 15% and 37% hematologic and 6% and 29% non-hematologic AEs. The most common attributable toxicities encountered included fatigue, thrombocytopenia, diarrhea and nausea with more grade 3 toxicities among Arm B. Peripheral neuropathy, possibly related to ixazomib, was seen in 55% (only grade 1 or 2) in arm A and 43% (2 patients with grade 3) in Arm B. Toxicities led to dose reduction of ixazomib in 17% and 43% of patients in Arm A and B respectively; the median number of cycles administered were 5 (1-24) and 5 (1-22) respectively. Conclusions: Ixazomib in combination with dexamethasone was well tolerated with significant anti-myeloma activity in this group of patients with relapsed MM. Deep responses including stringent CR were observed. The higher dose of ixazomib appears to be associated with a higher response rate but with higher rate of adverse events requiring dose reductions. Table 1. Treatment outcome in all patients Arm B (4 mg) (N=35) Arm C (5.5 mg) (N=35) Response Rate 31% (95%CI: 17-49) 51% (95%CI: 34-69) No. of Responders 11 18 sCR 0 1 CR 1 0 VGPR 7 8 PR 3 9 MR 5 1 Median Overall Survival1 NA NA 6 Months 100% 100% Median Event Free Survival1,2 8.4 mos (95%CI: 4.3-13.2) 8.2 mos (95%CI: 3.8-16.3) %Event Free at 6 Months 60% (95%CI: 45-81) 60% (95%CI: 45-81) Median Duration of Response1 16.7 mos (95%CI: 9.3-22.0) 16.3 mos (95%CI: 7.0-20.1) Median Time to Response 1.1 mos (range: 0.8-3.6) 1.0 mos (range: 0.8-7.5) CI: confidence interval; mo: month; NA: not attained 1Kaplan Meier 2Event-free survival time is defined as the time from registration to the first of disease progression, death due to any cause, or subsequent treatment for multiple myeloma. Disclosures Kumar: Celgene: Consultancy, Research Funding; Sanofi: Consultancy, Research Funding; Skyline: Consultancy, Honoraria; Onyx: Consultancy, Research Funding; Novartis: Research Funding; Janssen: Consultancy, Research Funding; Takeda: Consultancy, Research Funding; BMS: Consultancy.
Occurrence and Prognostic Significance of Cytogenetic Evolution in Patients with Multiple Myeloma

Blood | October 12, 2019 | Volume: 126 | Issue: 23 | Pages: 4176-4176

10.1182/blood.v126.23.4176.4176

Abstract Background: Cytogenetic evaluation, especially using fluorescence in situ hybridization (FISH), at the time of diagnosis is essential for initial risk stratification and the employment of risk-adapted treatment strategies in multiple myeloma. Little is known about the occurrence and prognostic significance of cytogenetic evolution during follow up. Methods: We studied 433 patients who were diagnosed with multiple myeloma between January 2000 and December 2011 and had at least two FISH evaluations at Mayo Clinic Rochester, including the diagnostic specimen. Bone marrow aspirates were evaluated for deletions, monosomies, trisomies, and tetrasomies using chromosome- or centromere-specific FISH probes. IGH rearrangements were evaluated using an IGH break-apart probe and up to five potential partners (FGFR3, CCND1, CCND3, MAF, and MAFB). Cytogenetic evolution was defined as a new deletion, monosomy, trisomy, tetrasomy, or translocation during follow up. Multivariable-adjusted logistic regression models were used to assess the associations between the parameters of interest and the presence of cytogenetic evolution in follow-up specimens. Multivariable-adjusted Cox proportional hazards models were used to assess the effect of cytogenetic evolution on overall survival. All models were adjusted for sex, age, the presence of high-risk FISH abnormalities, and the number of abnormalities at the time of diagnosis. Likelihood ratio tests were used to assess the goodness of fit of nested models. The χ2 or Fisher's exact test was used to assess the distribution of cytogenetic abnormalities in subgroups. Results: The median age at diagnosis was 60 years (32 - 82), 264 (61%) of the patients were male. The median overall survival for the entire cohort was 7.0 years (6.2 - 7.8). At the time of diagnosis, 150 (35%) and 57 (13%) of the 433 patients presented with a hyperdiploid karyotype and cytogenetic high-risk abnormalities, respectively. Independent of each other, the presence of a translocation at the time of diagnosis was associated with decreased odds of cytogenetic evolution during follow up (OR 0.39, 95% CI 0.24 - 0.63, p < 0.001) while the presence of at least one trisomy or tetrasomy at the time of diagnosis was associated with increased odds (OR 2.53, 95% CI 1.37 - 4.70, p = 0.003). A greater proportion of patients presenting with a hyperdiploid karyotype experienced cytogenetic evolution during follow up. Those patients more frequently evolved additional trisomies and tetrasomies, while translocations were more common in those presenting with a non-hyperdiploid karyotype (Table 1). The development of additional abnormalities during the three years following diagnosis (compared to no new abnormalities) was associated with increased subsequent mortality in those who survived at least three years (HR 3.22, 95% CI 1.82 - 5.68, p < 0.001). Including the time between first and last cytogenetic evaluation as a covariate did not significantly change the parameter estimates or improve model fit (p = 0.727). Conclusions: Demographics, risk profile, and overall survival of this cohort reflect the fact that patients had to survive long enough to undergo repeated cytogenetic evaluation. Hyperdiploid and non-hyperdiploid genotypes were associated with distinct behavior regarding cytogenetic evolution during follow up. The identification of cytogenetic evolution was an adverse prognostic factor in those who survived at least three years after diagnosis. These findings emphasize the importance of the dynamics of the underlying clonal disease process for accurate risk assessment and suggest that selected subgroups of patients may benefit from risk stratification during follow up. Table 1. Cytogenetic evolution during follow up in 433 patients with multiple myeloma stratified by karyotype at the time of diagnosis Hyperdiploid (n = 150) Non-hyperdiploid (n = 283) p New abnormality 76 (51%) 108 (38%) 0.012 New monosomy 8 (5%) 24 (8%) 0.243 New trisomy 48 (32%) 55 (19%) 0.004 New tetrasomy 37 (25%) 27 (10%) < 0.001 New deletion 17 (11%) 27 (10%) 0.557 New translocation 1 (1%) 11 (4%) 0.065 Most common new abnormality [type (percent of type in each group)] Monosomy mono(13) (75%) mono(13) (62%) Trisomy tri(11) (22%) tri(3) (22%) Tetrasomy tetra(15) (48%) tetra(15) (30%) Deletion del(17p) (79%) del(17p) (63%) Translocation t(11;14) (100%) t(11;14) (36%) Data are given as count (percent) unless denoted otherwise. Disclosures Binder: American Society of Hematology: Research Funding. Kumar:AbbVie: Research Funding; Onyx: Research Funding; Sanofi: Research Funding; Celgene, Millenium, Sanofi, Skyline, BMS, Onyx, Noxxon,: Other: Consultant, no compensation,; Skyline, Noxxon: Honoraria; Millenium/Takeda: Research Funding; Janssen: Research Funding; Celgene: Research Funding.
Natural History of Amyloidosis Isolated to Fat and Bone Marrow Aspirate

Blood | October 12, 2019 | Volume: 126 | Issue: 23 | Pages: 5303-5303

10.1182/blood.v126.23.5303.5303

Abstract Background: Light chain Amyloidosis (AL) is characterized by deposition of light chain derived amyloid fibrils in major organs and/or soft tissue. An observational study on natural history and outcome of localized immunoglobulin light-chain amyloidosis without vital organ (liver, heart, kidney, peripheral and autonomic nervous system) involvement has shown extremely low rate of progression (1%) to systemic amyloidosis at a median follow-up of 74.4 months (Mahmood S et al. The Lancet Haematology; 2015; 6:e241-e250). There is, however, limited evidence in published literature on natural history of AL amyloidosis confined to fat and/or bone marrow biopsy, without involvement of vital organs or other soft tissues. Methods: We retrospectively identified patients with AL amyloidosis limited to fat and/or bone marrow aspirate in a single-institution database. Patients were evaluated for progression to systemic amyloidosis. Statistical analysis was done using JMP 10.0.0 (SAS Institute Inc.). Results: We identified 117 patients, with a median age of 70 years, who had light chain amyloidosis detected in abdominal fat aspirate and/or bone marrow biopsy, without systemic involvement. Amyloid was seen in fat only in 39%, marrow only in 54% and in both sites in 7%. The median follow up was 45.6 months (95% CI-38.1-57.7) from detection of amyloid. Of these, 64% were alive at the time of analysis. Among 117 patients, 65 were treated for a diagnosis of another plasma cell disorder made prior to or concurrent with detection of amyloid. The remaining 52 patients only had isolated fat or marrow amyloid. Among 65 patients with another diagnosis of plasma cell disorder requiring treatment, 3 progressed to systemic amyloidosis, one each with cardiac, renal and lymph node (LN) involvement detected at 32, 42 and 65 months respectively from the detection of amyloid. The first 2 patients had underlying multiple myeloma, and the third patient with LN involvement had underlying Waldenström macroglobulinemia. Among 52 patients without another diagnosis of a plasma cell disorder requiring treatment, at a median follow up of 32 months, no progression to systemic amyloidosis was observed. Median overall survival (OS) in 117 patients from detection of amyloid, using Kaplan-Meier survival estimates, was 60.2 months (95% CI-48.9-146.1). Conclusion: Our study highlights the fact that isolated amyloidosis detected in fat and/or bone marrow aspirate, in the absence of another plasma cell dyscrasias that require therapy, is unlikely to progress to systemic amyloidosis. Watchful waiting might be considered in such patients after a thorough evaluation to rule out systemic involvement. Disclosures Gertz: Smith Kline: Honoraria; Novartis: Honoraria; Onyx: Honoraria; millenium: Consultancy, Honoraria; Celgene: Honoraria. Kumar:Celgene: Consultancy, Research Funding; Abbvie: Research Funding; Millenium: Consultancy, Research Funding; Novartis: Research Funding; Onyx: Consultancy, Research Funding; Janssen: Consultancy, Research Funding; BMS: Consultancy, Research Funding.
In Patients with Light-Chain (AL) Amyloidosis Myocardial Contraction Fraction (MCF) Is a Simple, but Powerful Prognostic Measure That Can be Calculated from a Standard Echocardiogram (ECHO)

Blood | October 12, 2019 | Volume: 126 | Issue: 23 | Pages: 1774-1774

10.1182/blood.v126.23.1774.1774

Abstract Background: Amyloidosis is a multisystem disease with extracellular deposition of pathological insoluble beta-fibrillar proteins. Involvement of the heart is seen in more than one-half of the patients with systemic AL amyloidosis and it is the most important determinant of clinical outcome. Cardiac amyloidosis is a restrictive infiltrative cardiomyopathy in which, despite declines in stroke volume that accompany disease progression, the ejection fraction (EF) often remains preserved even in advanced stages of the disease. King et al. proposed a novel index of myocardial function, the myocardial contraction fraction (MCF), defined as the ratio of stroke volume (SV) to myocardial volume (MV). MCF is a measure of myocardial shortening, which differentiated myocardial performance in patients with similar degrees of hypertrophy and in a recent small cohort of AL amyloidosis patients appeared superior to left ventricular ejection fraction (EF) in predicting overall survival (OS). It was our goal to assess the prognostic role of MCF in a large cohort of patients with AL amyloidosis in the context of other prognostic variables. Methods: Patients seen between 4/1/1999 and 2/1/2015 were eligible for this retrospective study if they had an ECHO at the Mayo Clinic, Rochester, MN within 30 days of their AL amyloidosis diagnosis with measurements of left ventricular chamber size and wall thickness needed to calculate MCF, EF, and the presence or absence of pericardial effusion. To capture the full cohort, modeling was done first excluding Mayo (2012) staging and global averaged left ventricular longitudinal peak systolic strain (LV strain) since limited numbers of patients had these studies, 342 and 294, respectively. Thresholds of continuous variables were chosen based on receiver operator curves targeting death at 1-year. Cox proportional hazards analysis was used to identify factors that were prognostic for OS. Statistical analyses were done using JMP 9.0 (SAS, Cary, NC). Results: Among the 722 patients satisfying entry criteria,median age was 64 years (range 32-94) and 66% were male. The best cutoff for MCF was 21% (sensitivity: 74%, specificity: 60%; AUC=0.699) and distinguished two groups with different OS (median 53 vs. 9 months, P<0.0001; Figure). On univariate analysis the baseline ECHO variables predicting OS were interventricular septum thickness (IVS) >12 mm (RR 1.8, P=0.0002), EF <60% (RR 1.7), MCF ≤21% (RR 2.1), and presence of pericardial effusion (RR 2.0), all with P<0.0001. On multivariate MCF ≤21% (RR 1.6, P <0.0001), EF <60% (RR 1.4, P=0.0007) and the presence of pericardial effusion (RR 1.3, P=0.002) were independent predictors of OS. Additional modeling was done with the subset of 342 patients who were assessable for Mayo (2012) staging, (i.e. measurements of immunoglobulin free light chain, NT-proBNP, and troponin T). On univariate analysis, patients with a Mayo (2012) stage ≥ 3 had a RR 2.1, p<0.0001. On multivariate, only MCF ≤21% (RR 1.5, P =0.01), Mayo (2012) stage ≥ 3 (RR 1.5, P=0.01) and EF<60% (RR 1.7, P=0.0006) were independent prognostic determinants. Finally, we addressed LV-strain among the 294 patients in whom the study was performed. There was a significant correlation between MCF and LV strain (rho =-0.86, P<0.0001). On univariate, LV-strain less negative than -13 generated a RR of 2.3, p<0.0001. In contrast to the model containing MCF, on LV-strain multivariate, EF was no longer significant, but LV-strain less negative than -13 (RR 2.0, P=0.008) and Mayo (2012) stage ≥ 3 (RR 2.0, P=0.008) predicted independently OS. Conclusions: MCF ≤21% identified a subgroup of patients with a high mortality risk, and it was independent of the Mayo (2012) staging but highly correlated with LV strain. An advantage of MCF, which is a novel volumetric measurement of the left ventricular chamber, is that, unlike LV-strain, MCF is simple to calculate from routine ECHO measures. Figure 1. Overall survival of 722 patients according to MCF<21%. Figure 1. Overall survival of 722 patients according to MCF<21%. Disclosures Kumar: AbbVie: Research Funding; Celgene: Research Funding; Janssen: Research Funding; Skyline, Noxxon: Honoraria; Celgene, Millenium, Sanofi, Skyline, BMS, Onyx, Noxxon,: Other: Consultant, no compensation,; Sanofi: Research Funding; Millenium/Takeda: Research Funding; Onyx: Research Funding.
The Impact of Induction Regimen Choice on Transplant Outcome and Survival in Newly Diagnosed Multiple Myeloma in the Era of Novel Agents

Blood | October 12, 2019 | Volume: 126 | Issue: 23 | Pages: 3044-3044

10.1182/blood.v126.23.3044.3044

Abstract Background Induction with novel agents, including proteasome inhibitors and immunomodulators, prior to autologous stem cell transplantation (ASCT) is the standard of care frontline treatment of transplant-eligible patients with multiple myeloma (MM). Common novel agent-based induction regimens include three drug combinations with a backbone of bortezomib (V), thalidomide (T) and/or lenalidomide (R). There is limited information on the comparative efficacy of novel regimens used as part of initial therapy prior to an ASCT in terms of overall survival (OS). To address this question, we retrospectively analyzed 1096 consecutive patients undergoing ASCT for MM at Mayo Clinic. Methods Study patients included those who underwent first transplant within 12 months of diagnosis, did not receive more than one induction regimen, did not relapse prior to transplant and did not receive treatment for smoldering MM in the past. Baseline characteristics, response rates and survival data were extracted from an electronic medical record and statistical analysis was done using JMP 10.0.0 (SAS Institute Inc.). Choice of induction regimen was almost exclusively made by the referring physician. Results Median age at diagnosis was 60.3 years (Interquartile range 53.9-65.9). ISS staging at diagnosis was available for 49.7% of patients, of which, 34.2%, 39.3% and 26.5% of patients had ISS stage 1, 2 and 3 disease, respectively. Estimated median follow up was 65.6 months (95% CI 58.3-73.3). Baseline characteristics of patients by initial treatment have been summarized in table 1. Major subgroups by induction therapy included patients receiving Cy-Bor-d (n=193, 17.6%), Vd (n=64, 5.83%), Rd (n=253, 23.1%), VRd (n=126, 34.6%), Td (n=157, 14.3%) and VAD or dexamethasone alone as the non-novel agent comparator group (n=229, 20.9%). Median overall survival (OS) was significantly different between novel agent-based and conventional regimens (Log-rank test; p=0.0029), which were 102.7 months (95% CI, 95.2-112.2) and 78.8 months (95% CI, 67.8-92.6) respectively. Median OS with each regimen is shown in table 1. Among novel agent-based regimens, there was no significant difference in median OS, except Td, which was inferior to Rd (HR 1.62; 95% CI 1.17-2.24). Conclusion We cannot demonstrate with overall survival as an endpoint that the doublets of Vd and Rd are inferior to VRd or Cy-bor-d. There were insufficient patients treated with VTd to be included. Our study shows that the choice of novel induction regimen prior to ASCT does not affect survival (with the exception of Td being inferior to Rd), reflecting the wide array of effective salvage options. However, further prospective randomized clinical trials comparing these regimens are required to validate these findings. Table 1. Baseline characteristics and overall survival. Baseline characteristics and survival Cy-Bor-d (n=193) Vd (n=64) Rd (n=253) VRd (n=126) Td (n=157) VAD or Dex (n=229) p-value Median age 61.9 62.15 60.8 60.8 59.3 58.5 0.0041 Sex (percent males) 56.48 57.81 56.92 61.91 57.96 59.82 0.9271 ISS at diagnosis 1:24.82% 2:40.69% 3:34.48% 1:29.73% 2:24.32% 3:45.94% 1:40% 2:43.78% 3:16.22% 1:41.76% 2:34.06% 3:24.18% 1:28% 2:36% 3:36% 1:20% 2:60% 3:20% 0.0005 Median follow-up (95% CI) 20.3 (17.1-22.7) 49.5 (44.7-55.7) 59 (54.5-67) 26.9 (22.8-30.7) 126.7 (120.2-132.9) 143.4 (132.5-152.6) <0.0001 Median OS Not reached (Estimated 5 year OS rate 75%) 97.2 months (95% CI, 66.6-NR) 112 months (95% CI, 97.4-124.3) Not reached (Estimated 5-year OS rate 77%) 81.1 months (95% CI, 59.1-99.1) 78.8 months (95% CI, 67.8-92.6) 0.0019 Figure 1. Figure 1. Disclosures Kumar: Onyx: Consultancy, Research Funding; Novartis: Research Funding; Abbvie: Research Funding; Celgene: Consultancy, Research Funding; Millenium: Consultancy, Research Funding; BMS: Consultancy, Research Funding; Janssen: Consultancy, Research Funding. Gertz:Smith Kline: Honoraria; Novartis: Honoraria; Onyx: Honoraria; millenium: Consultancy, Honoraria; Celgene: Honoraria.
Increased Circulating Plasma Cells On Multiparametric Flow Cytometry As An Independent Prognostic Biomarker In Newly Diagnosed Multiple Myeloma: Implications For Redefining High-Risk Myeloma

Blood | October 12, 2019 | Volume: 122 | Issue: 21 | Pages: 1842-1842

10.1182/blood.v122.21.1842.1842

Abstract Background Prior studies have shown that presence of increased circulating plasma cell (PCs) identified using a slide-based immunofluorescence method is an adverse prognostic marker for overall survival in multiple myeloma (MM), and increases the risk of progression in patients with MGUS and smoldering MM. However, utility in clinical settings has been limited by the cumbersome nature of the test and lack of widespread availability. We studied the prognostic value of circulating PCs using sensitive multiparametric flow cytometry that enable us to quantitatively assess circulating PCs in patients with MM. Methods We evaluated all newly diagnosed MM patients seen at the Mayo Clinic, Rochester from 2009 to 2011 who had their peripheral blood samples evaluated by flow cytometry prior to therapy. Patients with plasma cell leukemia were excluded. Each blood sample had its peripheral blood mononuclear cells isolated by ficoll gradient and stained with antibodies to CD45, CD19, CD38, CD138 and cytoplasmic Kappa and Lambda Ig light chains. A six-color multi-parameter flow cytometer (Becton Dickinson FacsCantos II) was used to examine each sample with a target of detecting 150,000 events (cells) that was then analyzed using the Facs Diva Software. PCs were selectively analyzed through combinatorial gating using light scatter properties and CD38, CD138, CD19, and CD45. Normal PC's were then separated from clonal PCs based on the differential expression of CD45, CD19 and polytypic Ig light chains. The clonal PCs detected were reported out as the number of clonal events/150,000 collected total events. For those samples where less than 150,000 events were gated or examined, the number of final clonal events was adjusted to 150,000 events. Survival analysis was performed by the Kaplan-Meier method and differences assessed using the log rank test. Results There were 158 consecutive patients with newly diagnosed MM who had their peripheral blood evaluated via flow cytometry as part of their routine clinical evaluation. The median age of this group was 66 years (39-95) and 59% were male. At the time of this analysis, 25 patients had died and the 2-year OS rate for the cohort was 83%. The 2-year OS for the 89 (55%) patients with any circulating PCs was 76% compared with 91% for those with none (P=0.02). The median number of circulating clonal PCs was 33 (range, 0-46,413)/ 150,000 gated events. Using a ROC analysis the best cutoff predicting 1 and 2-year mortality were 435 and 376 events, respectively. Based on this, we defined >=400 events as a cutoff for defining patients with high-risk disease. The median time-to-next-treatment (TTNT) for patients with circulating clonal PCs >=400 (n=37, 23%) was 14 months compared with 26 months for those with <400 events (n=121, 77%) (p<0.001; Fig 1a). The median OS for those with >=400 clonal PC events was 32 months compared with not reached for those with <400 events (p<0.001; Fig 1b). Patients with >= 400 circulating PCs had higher ISS stage, creatinine, LDH, PC labeling index and bone marrow PC% compared with the rest. In a univariate analysis examining the presence of circulating PC >=400, LDH, labeling index, marrow PC% and FISH risk status, only circulating PCs were prognostic for overall survival (P = 0.0011). Among the 89 patients with any circulating PCs, 26 (30%) had CD45+ clonal PCs. The TTNT in patients with a clonal CD45+ population was inferior to those with no CD45+ clonal PCs in circulation (median 11 vs. 19 months, P = 0.034) as was the OS (P = 0.039). Conclusion Quantitative estimation of circulating clonal PCs in patients with newly diagnosed MM is a powerful predictor of early relapse from therapy and mortality. A cutoff of >=400 clonal events/150,000 gated mononuclear events predicts for a median TTNT of 14 months and OS of 32 months. This parameter is more powerful than the current high-risk parameters such as FISH risk status as well as traditional high-risk markers such as ISS stage and LDH levels, and is able to identify a group of patients with particularly poor outcome. Disclosures: Kumar: Celgene: Consultancy, Research Funding; Millennium: Consultancy, Research Funding; Onyx: Consultancy, Research Funding.
Analysis of Serum Ferritin Levels As a Diagnostic Criteria for Hemophagocytic Lymphohistiocytosis (HLH) in Hospitalized Adult Patients

Blood | October 11, 2019 | Volume: 126 | Issue: 23 | Pages: 1014-1014

10.1182/blood.v126.23.1014.1014

Abstract INTRODUCTION: Hemophagocytic lymphohistiocytosis (HLH) is a rare disorder caused by the pathologic activation of the immune system. In children, either a molecular diagnosis consistent with HLH or five out of the following eight criteria are considered necessary for a diagnosis of HLH (HLH-04 criteria): 1) fever; 2) splenomegaly; 3) cytopenia in two or more cell lines; 4) hypertriglyceridemia (≥265 mg/dL) or hypofibrinogenemia (≤150 mg/dL); 5) hemophagocytosis in the bone marrow, spleen, or lymph nodes; 6) hyperferritinemia (≥500 mcg/L); 7) impaired NK cell function; and 8) elevated soluble CD25 (sCD25). These criteria have been extrapolated to diagnose HLH in adults; however, it's unclear if these same criteria are applicable in the adult population. METHODS: We reviewed the Mayo Clinic electronic medical record for all adult (≥18 years) hospitalized patients with an admission serum ferritin of ≥500 mcg/L from January 2012 through December 2014. Patients' charts were reviewed and those who met the HLH-04 criteria were considered to have HLH. For the remainder of the patients, the etiology for hyperferritinemia was determined based on chart review and discharge diagnoses. Logistic regression models were used to assess the ability of these values in predicting a diagnosis of HLH. The Mayo Clinic IRB approved this study. RESULTS: We identified 1,329 patients with a serum ferritin ≥500 mcg/L. Of these, HLH was diagnosed in 28 (2.1%) patients (malignancy-associated HLH in 11 patients, infection-associated HLH in 4 patients, autoimmune-associated HLH in 7 patients, and idiopathic HLH in 6 patients). Table 1 describes the etiology of hyperferritinemia in the remaining 1,301 patients. In contrast to pediatric hospitalized patients (Allen, Pediatr Blood Cancer, 2008), adults are more likely to have malignancy (28.1% vs 7%; p<0.05); bacterial infection (21% vs. 13%; p=0.001); liver disease (9.9% vs. 2.7%; p<0.05); and cardiac disease (7.2% vs. 1.5%; p=0.0001) as the etiology of hyperferritinemia during their hospitalization. Among all patients in the study, the following variables were associated with higher odds of having HLH compared to hyperferritinemia due to an alternate cause: elevated ferritin (odds ratio [OR] 35.97, p<0.01); thrombocytopenia (OR 15.22, p<0.01), cytopenias defined by HLH-04 criteria (OR 8.04, p<0.01); elevated admission serum bilirubin (OR 1.05, p=0.02); and peak serum bilirubin (OR 1.05, p<0.01). After stepwise selection in multivariate analysis, serum ferritin ≥2,600 mcg/L and platelets ≤100 x 109/L were independently associated with HLH diagnosis (OR 24.9 and 7.8 respectively; p<0.01 for both). The area under the curve (AUC or c-statistic) ranges from 0.5 for no ability to discriminate, to 1.0 for perfect discrimination; this model has an AUC of 0.91, which shows very good discrimination between cases and controls. An adult hospitalized patient with a combination of serum ferritin ≥2,600 mcg/L and platelets ≤100x109/L predicts a ~200 fold increased likelihood of being diagnosed with HLH as compared to hospitalized adult meeting neither of these criteria (Figures 1 and 2). CONCLUSION: In contrast to hospitalized pediatric patients, the etiology of hyperferritinemia in adults is more likely to be malignancy, bacterial infection, liver disease, and cardiac disease. We conclude that a combination of serum ferritin ≥2,600 mcg/L and platelet count ≤100 x 109/L can be used as screening criteria to help identify adult patients most likely to have HLH. The traditional 5/8 criteria to diagnose HLH in pediatric patients do not appear necessary for establishing a diagnosis of HLH in adult patients. These observations need replication in an independent data set prior to broader applicability. Table 1.Patients with ferritin > 500 mcg/L with underlying cause for elevation.Number Diagnosed (%)Cardiac Disease95 (7.2%)Liver Disease131 (9.9%)Renal Disease87 (6.6%)Infectious343 (25.8%)Malignancy373 (28.1%)Autoimmune118 (8.9%)Solid Organ Transplant34 (2.6%)Stem Cell Transplant16 (1.2%)Bone Marrow Failure9 (0.7%)Shock39 (2.9%)Idiopathic53 (4.0%)Hemoglobinopathies3 (0.2%) Figure 1. ROC curve for the multivariable model with ferritin > 2,600 (yes/no) and platelets below 100,000 (yes/no) in the model with a very good discrimination c-statistic of 0.91. Figure 1. ROC curve for the multivariable model with ferritin > 2,600 (yes/no) and platelets below 100,000 (yes/no) in the model with a very good discrimination c-statistic of 0.91. Figure 2. Figure 2. Disclosures No relevant conflicts of interest to declare.