Weiss, Brendan M.

Abstract Patients with multiple myeloma have an elevated risk of severe complications from severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2; COVID-19) infection. To demonstrate proof of concept for a pandemic preparedness and response network, the American Society of Hematology Research Collaborative Multiple Myeloma Program developed a prospective, decentralized study within a site-based provider network. In the COVID-19 outcomes in myeloma and the impact of vaccines (COSMIC) study, patients provided consent, permitted electronic health record data collection, completed patient-reported outcomes at baseline, day 30, and day 180 through an electronic study portal, and were compensated for participation. Clinicians at participating sites facilitated study recruitment and shared best practices monthly to accelerate study execution. The COSMIC study rapidly consented 201 patients from 8 participating sites over 4 months (22 January 2024 through 17 May 2024). Consented participants were 30 to 93 years old, with a median age of 67; 46% were female, 69% were non-Hispanic White, 17% were non-Hispanic Black, and 8% were Hispanic/Latino. Patient-reported data completion was 97% at baseline, 81% at 1 month, and 79% at 6 months. At baseline, 55% of patients reported a history of COVID-19 infection and had received a median of 4 SARS-CoV-2 vaccines. For all patients, there were an additional 18 COVID-19 infections and 57 vaccines received during the 6-month observation period. There were no significant differences in health-related quality of life over time or by history of COVID-19 infection. COSMIC demonstrates the feasibility of an innovative evidence generation strategy to drive rapid accrual of patients to address an evolving area of need. This trial was registered at www.clinicaltrials.gov as #NCT05831787.

Background: The COVID-19 pandemic had an outsized impact on individuals with immune compromise, such as multiple myeloma, leading to increased rates of severe COVID, hospitalization, and death in these groups. The pandemic also demonstrated the need for rapid and efficient evidence generation to address rapidly changing medical needs and accelerated the use of innovative trial designs to accomplish this goal. Methods: We designed and established a prospective, decentralized study within a site-based provider network, COVID-19 OutcomeS in Myeloma and the Impact of VaCcines (COSMIC), for patients with multiple myeloma at ASH Research Collaborative sites to monitor outcomes related to COVID-19 infection and vaccination. The direct-to-patient approach was accomplished using a study application accessed with a QR code provided to patients during usual clinical care. All study activities occurred within the patient portal at Baseline, Day 30, and Day 180, minimizing burden on site personnel and staff. Study activities included eligibility confirmation, consenting, electronic health record (EHR) data permissions, and patient-reported outcome (PRO) surveys. PRO data (EORTC QLQ-C30, EORTC QLQ MY-20) were made available to clinicians through the portal to visualize results from their patients. Patients shared if they received a COVID-19 vaccination or booster and if they had a COVID-19 infection. Patients with a history of COVID-19 infection included method of confirmation and if hospitalization was required. Patients were provided compensation for participation. Automated text and email messages were sent at three separate intervals: 24 hours, Day 8, and Day 15 for participants who initiated but did not complete study activities. A personal email reminder per participant was sent for those whose second study visit window was approaching. ASH Research Collaborative clinicians met regularly to share best practices related to enrollment and study conduct, thereby creating an innovative evidence generation learning community. We studied the feasibility of data collection in a decentralized format by focusing on the number of participants who interacted with the system, those who consented, and those who completed baseline PRO assessments. Results: The COSMIC study rapidly accrued and consented 200 patients from eight participating ASH Research Collaborative sites over four months (1/22/2024 through 5/17/2024): 69% self-reported as non-Hispanic White (NHW). Of enrolled participants, 57.5% opted to permission sharing of their EHR data, which included disease and treatment-related clinical data, laboratory results, pathology reports, and imaging reports. A total of 196 patients (98%) provided demographic and COVID-related disease and vaccine data at baseline; nearly all of these patients (n=195) provided baseline PRO data, and 150 patients provided further information at Day 30 at the time of this analysis. Those who did not provide Day 30 data were not significantly different from those who did in terms of age (median: 68 [no Day 30 data] vs. 67 [Day 30 data] years; p=0.44), sex (41% [no Day 30 data] vs. 47% [Day 30 data] Female; p=0.47), or race (65% [no Day 30 data] vs. 71% [Day 30 data] NHW; p=0.60). A higher proportion of Hispanic patients were retained at Day 30 (13/15=87%) vs. 78% of non-Hispanic patients or those who declined reporting ethnicity (2/7=29%; p=0.007). COVID-19 vaccination data were submitted by 196 patients, 186 of whom had ever received a COVID-19 vaccination. Data on number, type, brand, and dates for these vaccinations were provided. Conclusions: The COSMIC study conducted by the ASH Research Collaborative was able to rapidly accrue a diverse cohort of patients using a decentralized workflow within a site-based provider network, with high consent and compliance rates. This platform, and the innovative evidence generation learning community of ASH Research Collaborative investigators and patients, sets a precedent to address a variety of real-world questions related to disease management, infections, vaccinations, and PROs in this population of patients with multiple myeloma.

Background: Data from the ASH Research Collaborative COVID-19 Registry for Hematology demonstrated that patients with multiple myeloma and other immune compromise had elevated risk for severe complications from COVID-19 infection. To address current evidence gaps and to demonstrate proof of concept for a pandemic preparedness and response network, the ASH Research Collaborative Multiple Myeloma Program developed a prospective, decentralized study within a site-based provider network to investigate COVID-19 infections, vaccinations, and quality of life in patients with multiple myeloma. Methods: We designed and established the COVID-19 OutcomeS in Myeloma and the Impact of VacCines (COSMIC) to study COVID-19 in patients with multiple myeloma at ASH Research Collaborative network sites. A study application was accessed with a QR code and shared with patients during usual clinical care. Patients provided consent, optionally gave permission for electronic health record data collection, and completed patient-reported outcomes (EORTC QLQ-C30 and MY20) at baseline, Day 30, and Day 180 through the study portal. Clinicians at participating sites facilitated study enrollment and shared best practices monthly to accelerate study execution. Study objectives related to feasibility of data collection in a decentralized format are reported in a separate abstract. Here, we report interim results related to SARS-CoV-2 vaccination history, COVID-19 infection, and how these relate to patient reported outcomes and clinical outcomes in enrolled participants. Results: The COSMIC study rapidly accrued and consented 200 patients from eight participating ASH Research Collaborative sites over four months (1/22/2024 through 5/17/2024). Consented participants' ages ranged from 29 to 93 years, with median of 67 years; 46% were female, 69% were non-Hispanic White (NHW), 17% were non-Hispanic Black (NHB), and 8% were Hispanic/Latino. Of the 196 patients who reported COVID-19 data, 111 (57%) reported at baseline that they had a history of COVID-19 infection, with 12 having required hospitalization for this (12/111=11%). Overall, 95% (186/196) reported a history of COVID-19 vaccination, where the median number of vaccinations was 4 (range: 1 to 6); 44 patients (23%) expressed willingness to discuss getting a yearly booster vaccine with their provider. At 1-month follow-up, there were 3 additional patients who reported a COVID-19 infection and 18 patients who received an additional COVID-19 vaccination. The baseline EORTC QLQ-C30 median Global Health Status/QOL score was 66.7 (mean=64.4, range: 8.3 - 100, n=196). This overall global QOL score was not significantly different between those who did vs. did not have a history of COVID-19 infection (mean [SD]: 63.7 [19.3] vs. 65.8 [17.6]; p=0.57). In analyses adjusted for age, biological sex, and race/ethnicity group, history of COVID-19 infection was not associated with HRQOL (odds ratio=0.93, 95% CI: 0.78 - 1.10; p=0.38). Data collection is ongoing and final study results will be reported at a later date. Conclusion: COSMIC is a prospective, decentralized study within a site-based provider network conducted by the ASH Research Collaborative Multiple Myeloma Program that demonstrates the feasibility of using an innovative evidence generation strategy to drive rapid accrual of patients to address a rapidly evolving area of need. The COSMIC study also provides proof of concept that a real-world evidence generation network can play an important role in national pandemic preparedness and response. The COSMIC experience reinforces the ability to accrue diverse patient populations representing the demographic of myeloma patients in the US.

AbstractThe development of novel agents has transformed the treatment paradigm for multiple myeloma, with minimal residual disease (MRD) negativity now achievable across the entire disease spectrum. Bone marrow–based technologies to assess MRD, including approaches using next-generation flow and next-generation sequencing, have provided real-time clinical tools for the sensitive detection and monitoring of MRD in patients with multiple myeloma. Complementary liquid biopsy–based assays are now quickly progressing with some, such as mass spectrometry methods, being very close to clinical use, while others utilizing nucleic acid–based technologies are still developing and will prove important to further our understanding of the biology of MRD. On the regulatory front, multiple retrospective individual patient and clinical trial level meta-analyses have already shown and will continue to assess the potential of MRD as a surrogate for patient outcome. Given all this progress, it is not surprising that a number of clinicians are now considering using MRD to inform real-world clinical care of patients across the spectrum from smoldering myeloma to relapsed refractory multiple myeloma, with each disease setting presenting key challenges and questions that will need to be addressed through clinical trials. The pace of advances in targeted and immune therapies in multiple myeloma is unprecedented, and novel MRD-driven biomarker strategies are essential to accelerate innovative clinical trials leading to regulatory approval of novel treatments and continued improvement in patient outcomes.

Background: Light chain (AL) amyloidosis is a rare disease in which deposits of insoluble amyloid derived from immunoglobulin light chains accumulate and cause dysfunction of organs including the heart and kidneys. In order to reverse organ damage and improve overall survival, treatment must provide rapid, deep, and sustained hematologic responses. Although therapies approved for the treatment of multiple myeloma have demonstrated some efficacy, there are currently no health authority-approved treatments for AL amyloidosis. A retrospective observational study was undertaken to characterize patients and describe treatment patterns in patients with AL amyloidosis from real-world data in the US. Methods: Data were extracted from Optum Electronic Health Records (EHR) and Optum Clinformatics Data Mart (claims) databases. Eligible patients had (1) a diagnosis of AL amyloidosis (ICD-10 code E85.81) on or after January 1, 2008 or (2) a diagnosis of amyloidosis (ICD-9 codes 277.30, 277.39; ICD-10 codes E85.89, E85.9) on or after January 1, 2008 and at least one line of therapy (LOT) comprising one or more of the following treatments: bendamustine bortezomib, carfilzomib, cyclophosphamide, daratumumab, dexamethasone, doxorubicin, elotuzumab, etoposide, interferon alfa-2a, interferon alfa-2b, ixazomib, lenalidomide, melphalan, panobinostat, pomalidomide, prednisone/prednisolone, thalidomide, vincristine, or autologous stem cell transplant. Patients were required to have continuous medical enrollment during the 365 days prior to the index amyloidosis diagnosis date (claims data) or have first active date at least 365 days prior to index amyloidosis date (EHR data), must not have had prior cancer in the 365-day period prior to the index amyloidosis diagnosis date, and must have been age ≥18 years at time of amyloidosis diagnosis. Patients treated with dexamethasone only or dexamethasone and prednisolone only for ≤90 days and those treated with prednisone/prednisolone only irrespective of duration were excluded. LOTs were defined by a start date, an end date, and a distinct regimen made up of ≥1 drugs. Patients may have multiple sequential LOTs during the available follow-up period. Comorbidities were scored according to the Charlson Comorbidity Index (CCI). A score of 0 reflects no comorbidities; higher scores reflect increased mortality risk and the maximum score is 24. Descriptive statistics are provided for patient characteristics at index diagnosis date for patients who had ≥1 LOT, distribution of regimens in each LOT, treatment attrition, and duration of treatment in each line of therapy and by regimen. Results: Data from 1688 patients (Optum claims, n=624; Optum EHR, n=1064) were included in the analysis (Figure). Median age at diagnosis was 67 years and 55.7% of patients were male. Almost 70% of patients had an index diagnosis date between 2013 and 2019. The median CCI score at index diagnosis date (based on comorbidities in the 365-day pre-index diagnosis period) was 1 and 10.9% of patients had a stem cell transplant on or after the index diagnosis date. The three most common comorbidities were hypertension (50.8%), renal failure (26.2%), and congestive heart failure (24.6%). Median follow-up period was 28 months. Treatment information for regimens used by ≥5% of patients for LOT1 is summarized in the Table. The most common treatment regimen for LOT1 was a proteasome inhibitor (PI), an alkylating agent, and a steroid (n=392, 23.2%); this combination was used for an average of 111 days. Of patients treated with this combination, the most common regimen was bortezomib, cyclophosphamide, and dexamethasone (VCd), used by 358 patients. Steroid only (dexamethasone for ≥90 days) regimens accounted for 16.4% and a PI ± steroid for 13.2% of LOT1. A limitation of the study is that assumptions were used to classify AL amyloidosis vs other types of amyloidosis. Conclusions: VCd is the most commonly used regimen in patients with newly-diagnosed AL amyloidosis. This is consistent with clinical guidelines and real world data from Europe (Palladini et al, EHA 2020), supporting this regimen as the current standard of care for treatment of patients with newly-diagnosed AL amyloidosis. Disclosures Dispenzieri: Celgene: Research Funding; Pfizer: Research Funding; Alnylam: Research Funding; Intellia: Research Funding; Janssen: Research Funding; Takeda: Research Funding. Zonder:Intellia, Amgen, Takeda, Janssen, Regeneron, Alnylam, Caelum, Oncopeptides: Consultancy; BMS, Celgene: Research Funding. Hoffman:Loxo: Current equity holder in publicly-traded company; Celgene: Honoraria, Speakers Bureau. Wong:Sanofi: Membership on an entity's Board of Directors or advisory committees; Janssen: Research Funding; Fortis: Research Funding; Roche: Research Funding; GSK: Research Funding; Amgen: Consultancy; Bristol Myers Squibb: Research Funding. Liedtke:Adaptive: Membership on an entity's Board of Directors or advisory committees; Caelum: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees; GSK: Membership on an entity's Board of Directors or advisory committees; Jazz Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees; Pfizer: Honoraria. Abonour:BMS: Consultancy, Research Funding; Takeda: Consultancy; Janssen: Honoraria, Research Funding; Celgene: Consultancy. D'Souza:Amgen, Merck, TenoBio: Research Funding; Akcea, Imbrium, Janssen, Pfizer: Consultancy. Lee:Janssen: Current Employment. Nair:Janssen: Current Employment. Potluri:SmartAnalyst Inc.: Current Employment. Weiss:Janssen: Current Employment, Current equity holder in publicly-traded company. Vermeulen:Janssen: Current Employment, Current equity holder in publicly-traded company. Lam:Janssen: Current Employment. Mehra:Janssen: Current Employment.

Background: The extent of cardiac involvement has a major impact on clinical outcomes in patients with newly diagnosed light chain (AL) amyloidosis. Here, we present the hematologic responses, major organ deterioration progression-free survival (MOD-PFS) and event-free survival (MOD-EFS), and organ responses by cardiac stage in patients with newly diagnosed AL amyloidosis treated with cyclophosphamide, bortezomib, and dexamethasone (VCd) with or without daratumumab subcutaneous (DARA SC) in the ANDROMEDA trial (NCT03201965). Methods: Key eligibility criteria included newly diagnosed AL amyloidosis with measurable hematologic disease, ≥1 involved organ, cardiac stage I-IIIA (based on the European Modification of the Mayo staging system), eGFR ≥20 mL/min, and absence of symptomatic multiple myeloma. Patients were randomized (1:1) to receive DARA-VCd or VCd alone. All patients received bortezomib (1.3 mg/m2 SC weekly), cyclophosphamide (300 mg/m2 oral [PO] or intravenous [IV] weekly [500 mg maximum]), and dexamethasone (20-40 mg PO or IV weekly) for six 28-day cycles. DARA SC (1800 mg, co-formulated with recombinant human hyaluronidase PH20 in 15 mL) was administered by injection weekly in Cycles 1-2, every 2 weeks in Cycles 3-6, and every 4 weeks thereafter for up to 24 cycles. Disease evaluations occurred every 4 weeks (Cycles 1-6) and every 8 weeks (after Cycle 7) until major organ deterioration, hematologic progression, death, end of study, or withdrawal. The primary endpoint was overall (ie, at any time) hematologic complete response (CR) rate. Secondary endpoints included MOD-PFS, MOD-EFS, organ response rate, time to hematologic response, survival, and safety. Analyses of hematologic CR and MOD-PFS were performed on the intent-to-treat analysis set; cardiac response analyses were based on patients who were evaluable for cardiac response, defined as patients with baseline NT-ProNBP value ≥650 ng/L or baseline NYHA class 3 or 4 and received at least 1 administration of study treatment. Patients without a baseline assessment or post-baseline assessment were censored at randomization for the MOD-PFS analysis. Descriptive statistics were used to summarize overall CR rate and organ response rate. Hazard ratios and corresponding 95% confidence intervals were estimated based on Cox proportional hazard model. Results: A total of 388 patients were randomized to receive DARA-VCd (n=195) or VCd alone (n=193). Baseline characteristics were well balanced between treatment groups. The median age was 64 years and the proportions of patients with cardiac stage I, II, and III were 23%, 40%, and 37%, respectively. The median duration of treatment was 9.6 months for DARA-VCd and 5.3 months for VCd. Median follow-up was 11.4 months (range, 0.03-21.3+). Baseline characteristics were generally balanced across cardiac stages, except increasing cardiac stage was associated with older age (≥65 years), worse Eastern Cooperative Oncology Group performance status, more advanced renal failure (CrCl ≤30), and functionally worse heart failure (NYHA IIIA). Hematologic CR rates were higher in the DARA-VCd group than in the VCd group in patients with cardiac stages I, II, and III at baseline (Table). Cardiac and renal response rates at 6 months were also higher in the DARA-VCd group regardless of cardiac stage at baseline (Table). The hazard ratios (HRs) for MOD-PFS were 0.33, 0.55 and 0.66 for cardiac stages I, II and III, respectively, favoring DARA-VCd. Corresponding HRs for MOD-EFS were 0.24, 0.39, and 0.48, respectively. Rates of any grade adverse events (AEs) were similar in patients with and without cardiac involvement at baseline. Across both treatment arms, rates of serious treatment-emergent AEs were higher in patients with cardiac involvement at baseline than in those without. Conclusions: The benefit of DARA-VCd was retained over VCd alone across cardiac stages for hematologic CR, MOD-PFS, MOD-EFS, and organ responses. Disclosures Minnema: Kite, a Gilead Company: Speakers Bureau; Celgene: Other: travel support, Research Funding; Amgen: Consultancy; Servier: Consultancy. Dispenzieri:Alnylam: Research Funding; Intellia: Research Funding; Janssen: Research Funding; Pfizer: Research Funding; Takeda: Research Funding; Celgene: Research Funding. Comenzo:Unum: Consultancy; Prothena: Consultancy, Research Funding; Amgen: Consultancy; Sanofi: Consultancy; Caleum: Consultancy; Janssen: Consultancy, Research Funding; Karyopharm: Consultancy, Research Funding; Takeda: Consultancy, Research Funding. Kastritis:Janssen: Consultancy, Honoraria, Research Funding; Genesis Pharma: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; Pfizer: Consultancy, Honoraria; Amgen: Consultancy, Honoraria, Research Funding. Wechalekar:Takeda: Honoraria, Other: Travel; Celgene: Honoraria; Janssen: Honoraria, Other: Advisory; Caelum: Other: Advisory. Witteles:Pfizer: Membership on an entity's Board of Directors or advisory committees; Alnylam Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees. Maurer:Pfizer: Membership on an entity's Board of Directors or advisory committees, Research Funding; Alnylam: Membership on an entity's Board of Directors or advisory committees, Research Funding; Ionis: Research Funding; Eidos: Research Funding; Akcea: Research Funding. Tran:Janssen: Current Employment, Current equity holder in publicly-traded company. Qin:Janssen: Current Employment. Vasey:Janssen Research & Development: Current Employment, Current equity holder in publicly-traded company. Tromp:Janssen: Current Employment, Current equity holder in publicly-traded company. Weiss:Janssen: Current Employment, Current equity holder in publicly-traded company. Vermeulen:Janssen: Current Employment, Current equity holder in publicly-traded company. Jaccard:Janssen: Consultancy, Honoraria, Other: A.J. has served in a consulting or advisory role for Janssen and has received honoraria from, received research funding from, and had travel, accommodations, or other expenses paid for or reimbursed by Janssen., Research Funding; Celgene: Honoraria, Other: A.J. has served in a consulting or advisory role for Janssen and has received honoraria from, received research funding from, and had travel, accommodations, or other expenses paid for or reimbursed by Celgene., Research Funding.

8000 Background: The diagnostic criteria for MM were revised in 2014, recategorizing ultra-high risk (i.e., 80% at two years) as active myeloma requiring therapy. The removal of patients at the highest risk of progression from the smoldering group requires reassessment of current risk stratification models. Methods: We designed a multicenter, retrospective study of SMM patients to develop a risk stratification model. Patients diagnosed with SMM on/after January 1, 2004 were included if they had no disease progression within 6 months, had baseline data from diagnosis (+/- 3 months), had a follow up of ≥1 year, and did not participate in a therapeutic trial of SMM. Various clinical and laboratory factors were explored to identify factors that predicted progression at 2 years. Univariate Cox regressions were run for each factor. For factors with p-values ≤ 0.25, optimal cut points were identified using Youden’s index. Binary factors were used in stepwise regression to fit multivariable Cox model and significant risk factors were determined (F-test). Results: Overall, 2004 patients were included (ages 26-93, 51% female). Factors independently associated with progression (optimal cutoffs) included: Serum M protein (2 g/dL), involved to uninvolved serum-free light chain ratio (20), and marrow plasma cell % (20%). Patients were stratified using the risk factors: Low- (0 factors), Intermediate- (1), and High-Risk (≥2). Previously used high risk markers such as Bence Jones proteinuria (≥500 mg/24 hours) and severe immunoparesis (50% decrease in uninvolved immunoglobulin levels) were both significant in univariate analysis, but were eliminated on step wise selection. Compared to the low risk group, intermediate- and high-risk groups had significantly higher rate of progression (Table). Within the high-risk group, having all 3 risk factors (n=61) versus 2 did not add to the model, with insufficient separation between 2 and 3 factors. Conclusions: We have developed a risk stratification model for SMM that incorporates revised cutoffs for previously used parameters (20/2/20) that can be universally applied. Additonal analysis are being conducted to develop models that utilize common cytogenetic abnormalities, as well as those without FLC given lack of availability of all tests across the world. [Table: see text]

Abstract Introduction: Lenalidomide (Len) and dexamethasone (dex) has proven to be a highly effective treatment for multiple myeloma (MM) and serves as the basis of other combinations in relapsed disease. However, nearly 1/3 of myeloma patients have renal insufficiency, and the optimal use of Len in this population is not well known. We undertook this study in 3 cohorts of pts: Group A had creatinine clearance (CrCl) of 30-60 ml/min, Group B with CrCl < 30 ml/min, and Group C, with CrCl < 30 ml/min and requiring dialysis. The Phase I component of the trial has been previously reported (ASCO 2014) demonstrating that full dose Len (25mg daily 21/28 days) can be given to all patients despite renal insufficiency, even when on dialysis. We now present data on response to treatment. Methods: In the Phase 2 component accrual was slow and the trial was terminated. However, prior to termination a modified exploratory analysis plan was established, including all 34 patients treated at the recommended phase 2 dose. This plan would declare the treatment worthy of further study if 18 or more of the 34 patients responded to treatment. This design had 84% power to distinguish a response rate of 60% from a null rate of 40%, using a 1-sided test with 10% type I error. Results: The Phase 2 efficacy cohort accrued 34 patients, consisting of 20 patients from Group A, 9 patients from Group B, and 5 patients from Group C. Response of PR or greater was seen in 17 patients, resulting in a 50% overall response rate (CI 37-63%). Treatment was well tolerated with expected adverse events; the most common adverse events were anemia, diarrhea, and fatigue. Eleven episodes of Grade 3 and one Grade 4 pneumonia were reported for 10 patients across all cohorts and dose levels; 3 were considered possibly related to treatment. Seventeen patients have remained on treatment for more than 12 cycles. In the exploratory analyses, median PFS was 7.5 months (95% CI, 3.6 - 19.7 months) and median OS was 19.7 months (95% CI, 10.4 - 42.5 months). Conclusions: Len Dex can be safely administered to patients with impaired renal function at full dose of 25mg daily 21/28 days, and is associated with a 50% response rate. Further investigation into other combinations with Len Dex in patients with renal impairment should be considered. Table Table. Disclosures Mikhael: Onyx: Research Funding; Sanofi: Research Funding; Abbvie: Research Funding; Celgene: Research Funding. Lonial:Merck: Consultancy; Novartis: Consultancy; Onyx: Consultancy; BMS: Consultancy; Onyx: Consultancy; Celgene: Consultancy; BMS: Consultancy; Novartis: Consultancy; Celgene: Consultancy; Janssen: Consultancy; Millenium: Consultancy; Janssen: Consultancy. Weiss:Novartis: Consultancy.

Abstract Background: Amyloid light chain (AL) amyloidosis is caused by the deposition of misfolded light chain (LC) proteins, which may cause organ failure and death. Current treatments, which target the plasma cells that produce LC, induce organ responses in only 30% to 40% of patients. There is a substantial need for a safe and effective amyloid-directed therapy to improve recovery of organ function. NEOD001, a monoclonal antibody that targets misfolded LC, is hypothesized to neutralize circulating LC aggregates and to clear insoluble organ deposits. In an ongoing phase 1/2 study (NCT02613182; Gertz M et al. J Clin Oncol. 2016;34(10):1097-1103) in 27 patients with AL amyloidosis and persistent organ dysfunction, monthly NEOD001 infusions were well tolerated and produced no infusion-related hypersensitivity reactions. In a best response analysis of subjects who fulfilled eligibility criteria at baseline, 57% met cardiac and 60% met renal response criteria. Supported by these positive results, the current study (VITAL; NCT02312206) is a randomized, double-blind, placebo-controlled, phase 3 trial of NEOD001 in patients with cardiac AL amyloidosis. Here we present the study design for this trial in progress. Patients and Methods: Eligible patients (estimated enrollment, 236) with a diagnosis of AL amyloidosis (newly diagnosed, treatment naive) and cardiac dysfunction (N-terminal probrain natriuretic peptide [NT-proBNP] ≥650 and <8500 pg/mL, clinical signs of heart failure, left ventricular wall thickness >12 mm, or cardiac biopsy-detected amyloidosis) and with estimated glomerular filtration rate ≥30 mL/min/1.73 m2 will be randomly assigned (1:1) to receive NEOD001 (24 mg/kg q28d) plus standard of care (SOC) chemotherapy or placebo plus SOC therapy. Subjects will be stratified according to Mayo Clinic stage, renal stage, and 6-minute walk test (6MWT) distance. The primary end point is a composite, evidence-based measure consisting of all-cause mortality or cardiac hospitalization. Key secondary end points include cardiac response measured by NT-proBNP (as defined by Comenzo RL et al. Leukemia. 2012;26(11):2317-2325) and change in 6MWT distance, Short Form-36 Health Survey response, Neuropathy Impairment Score-Lower Limb and renal response (as defined by Palladini G et al. Blood. 2014;124(15):2325-2332). Disclosures Liedtke: Gilead: Research Funding; Pfizer: Consultancy, Research Funding; Novartis: Research Funding; Amgen: Consultancy, Research Funding; Prothena: Consultancy, Research Funding; Takeda: Consultancy, Research Funding; Celgene: Research Funding. Merlini:Takeda and Janssen-Cilag: Honoraria. Landau:Janssen: Consultancy; Spectrum Pharmaceuticals: Honoraria, Membership on an entity's Board of Directors or advisory committees; Onyx/Amgen: Research Funding; Takeda: Membership on an entity's Board of Directors or advisory committees, Research Funding; Prothena: Honoraria, Membership on an entity's Board of Directors or advisory committees. Comenzo:Takeda: Consultancy, Research Funding; Janssen: Consultancy, Research Funding; Prothena: Consultancy, Research Funding; Karyopharm: Research Funding. Sanchorawala:Prothena: Research Funding; Takeda: Research Funding; Celgene: Research Funding. Weiss:Janssen: Consultancy, Other: Travel, accommodations, Research Funding; Millennium: Consultancy, Other: Travel, accommodations; GlaxoSmithKline: Consultancy; Prothena: Other: Travel, accommodations, Research Funding; Novartis: Consultancy. Zonder:Array Biopharma: Consultancy; Prothena: Consultancy; Celgene: Consultancy, Research Funding; BMS: Consultancy; Takeda: Consultancy; Janssen: Consultancy; Seattle Genetics: Consultancy. Walling:Stealth: Consultancy; KaloBios: Consultancy; Exelixis: Consultancy; Newgen: Consultancy; Mateon (was Oxigene): Consultancy; Apex: Consultancy; Corcept: Consultancy; Aduro: Consultancy; Prothena: Consultancy; BioMarin: Equity Ownership; Amgen: Equity Ownership, Patents & Royalties; NuMedii: Consultancy; Pharm-Olam: Consultancy; Crown Bioscience: Consultancy; Codexis: Consultancy; Upsher Smith: Consultancy, Patents & Royalties. Kinney:Prothena: Employment, Equity Ownership, Other: Leadership. Koller:Prothena: Employment, Equity Ownership, Other: Travel, accommodations. Gertz:Ionis: Research Funding; Prothena Therapeutics: Research Funding; Novartis: Research Funding; Alnylam Pharmaceuticals: Research Funding; Annexon Biosciences: Research Funding; Research to Practice: Honoraria, Speakers Bureau; Med Learning Group: Honoraria, Speakers Bureau; Celgene: Honoraria; NCI Frederick: Honoraria; Sandoz Inc: Honoraria; GSK: Honoraria.