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Leung, Nelson

https://orcid.org/0000-0002-5651-1411

Mayo Clinic

Mayo Clinic

Citations 490

Light Chain Deposition Disease: First Analysis of an International Study in 359 Patients
Schönland, Stefan , Joly, Florent, Jiménez‐Zepeda, Víctor H. , Lee, Holly , Merlini, Giampaolo , Wechalekar, Ashutosh , Merlini, Giampaolo , Schönland, Stefan , Milani, Paolo , Leung, Nelson , Kastritis, Efstathios , Hegenbart, Ute , Bridoux, Frank , Tuchman, Sascha Alexander , Ravichandran, Sriram , Berno, Tamara , Palladini, Giovanni , Wechalekar, Ashutosh D.

Blood | February 8, 2021 | Volume: 136 | Issue: Supplement 1 | Pages: 33-34

10.1182/blood-2020-141662 Get It

Introduction: Light chain deposition disease (LCDD) is a rare complication of monoclonal gammopathies, defined by non-amyloid linear monoclonal light chain (most commonly kappa) deposits in the kidney and other organs. The rarity of LCDD has hampered clinical studies and staging systems and response criteria are lacking. The International Kidney Myeloma Working Group (IKMG) started a clinical data collection from all participating centers in order to define the natural history of LCDD, and to establish prognostic factors and response criteria in a large, international, unselected patient population. Methods: Eight referral centers have yet participated in the data collection at the data lock of July 31, 2020. Patient inclusion is ongoing and expected accrual is 500 patients. The diagnosis of LCDD had to be biopsy-proven. The patients were diagnosed between 1992 to 2020. Response was assessed 6 months after treatment initiation according to the criteria used in light chain (AL) amyloidosis. Renal survival (RS) was defined as time from diagnosis to dialysis or last follow-up. Patients who died without requiring dialysis were censored at the time of death. The analysis of factors predicting RS was performed in patients whose baseline estimated glomerular filtration rate (eGFR) was >15 mL/min. The cutoffs of baseline variables, as well as the cutoffs measured at the time of response, best predicting RS or OS at 12 months were identified by means of Receiver Operator Characteristics (ROC) analyses. All patients gave written informed consent for their clinical data to be used for research purposes. Results: Overall, 359 patients have been included in this first analysis. Sixteen (4%) subjects had concomitant cast nephropathy. The main clinical characteristics are reported in the Table. Median overall survival (OS) was 13 years and RS was 12 years (Figure1 A and 1B) and median survival of living patients is 4.5 years. At univariate analysis the only baseline variables predicting RS were proteinuria [best cutoff 2.5 g/24h, HR 2.25 (95%CI 1.13-4.60), P=0.02], and eGFR [best cutoff >30 mL/min, HR 0.50 (95%CI 0.26-0.96) P=0.037], but at multivariate analysis only proteinuria predicted RS [HR 2.17 (95% CI 1.08, 4.33), P=0.027]. At univariate analysis, a higher bone marrow plasma cell infiltrate (best cutoff ≥20%) at diagnosis was associated with a significantly lower OS [HR 1.96 (95% CI 1.23-3.13) P=0.004], as was having end stage renal disease (ESRD) defined as an eGFR <15 mL/min [HR 1.81 (95%CI 1.11-2.92) P=0.015]. We then tested the ability of the hematologic response criteria for AL amyloidosis to discriminate groups with different survival after treatment in a 6 months landmark analysis. Our choice of adopting the amyloidosis response criteria was corroborated by the results of the ROC analysis showing that the difference between involved and uninvolved free light chains (dFLC) cutoff (40 mg/L) used in AL amyloidosis to define very good partial response (VGPR) had 87% sensitivity and 65% specificity in identifying patients who needed dialysis within 12 months. Partial response (PR, 19% requiring dialysis at 3 years) was not associated with a RS benefit over no-response (29% requiring dialysis at 3 years, P=0.511). However, VGPR conferred a significant RS advantage (10% requiring dialysis at 3 years) over PR (P=0.002). No significant difference in RS was seen between complete response (CR, 0% requiring dialysis at 3 years) and VGPR (P=0.178). Thus, achieving VGPR or CR by amyloidosis response criteria [post-treatment dFLC<40 mg/L (VGPR by AL criteria), with or without negative serum and urine immunofixation and normal FLC-ratio (CR by AL criteria)] was adopted as a provisional criterion for hematologic response in LCDD (Figure 1D). LCDD response was also associated with prolonged OS (Figure 1C). Conclusions: Almost one-third of patients with LCDD are diagnosed when they already have ESRD resulting in shorter OS. The degree of proteinuria and of bone marrow plasma cell infiltration predict RS and OS, respectively. Achievement of post treatment dFLC <40 mg/L or negative serum and urine immunofixation at 6 months is proposed as a provisional criterion for hematologic response, being able to predict both improved RS and OS. Planned expanded recruitment might allow a validation analysis of the results, the analysis of organ response data and the evaluation of different time-points for response assessment. Disclosures Milani: Celgene: Other: Travel support; Janssen: Other: Speaker honoraria; Pfizer: Other: Speaker honoraria. Kastritis:Pfizer: Consultancy, Honoraria; Janssen: Consultancy, Honoraria, Research Funding; Takeda: Consultancy, Honoraria; Amgen: Consultancy, Honoraria, Research Funding; Genesis Pharma: Consultancy, Honoraria. Schönland:Janssen, Prothena, Takeda: Honoraria, Other: travel support to meetings, Research Funding. Bridoux:Baxter: Consultancy; Janssen: Honoraria; Celgene: Honoraria. Tuchman:Celgene: Honoraria, Research Funding, Speakers Bureau; Oncopeptides: Consultancy; Amgen: Research Funding; Caelum: Honoraria; Sanofi: Honoraria, Research Funding; Janssen: Research Funding; Roche: Research Funding; Karyopharm: Honoraria, Research Funding. Jimenez-Zepeda:Janssen, Celgene, Amgen, Takeda: Honoraria. Palladini:Jannsen Cilag: Honoraria, Other; Celgene: Other: Travel support. Wechalekar:Celgene: Honoraria; Caelum: Other: Advisory; Janssen: Honoraria, Other: Advisory; Takeda: Honoraria, Other: Travel.
Daratumumab, Ixazomib, Lenalidomide, and Dexamethasone for Newly Diagnosed Multiple Myeloma
Kumar, Shaji , Kapoor, Prashant , LaPlant, Betsy, Phuong-Dung, Liang, Malave, Gabriella C, Vossen, Alanna M., Warsame, Rahma , Kourelis, Taxiarchis , Hwa, Yi L. , Fonder, Amie , Hobbs, Miriam, Lust, John A., Lacy, Martha Q. , Hayman, Suzanne R. , Muchtar, Eli , Buadi, Francis K. , Gonsalves, Wilson I. , Dingli, David , Go, Ronald S. , Dispenzieri, Angela , Leung, Nelson , Rajkumar, S. Vincent , Gertz, Morie A.

Blood | February 8, 2021 | Volume: 136 | Issue: Supplement 1 | Pages: 36-37

10.1182/blood-2020-139372 Get It

Background: The combination of a proteasome inhibitor (PI), an immunomodulatory drug (IMiD), and dexamethasone is the current standard induction therapy for myeloma. Daratumumab (Dara), a monoclonal antibody directed against CD38, is highly effective in treating myeloma and improves response rates and progression free survival (PFS) when added to PI or IMiD. Ixazomib, lenalidomide and dexamethasone (IRd) is an effective, all oral, induction regimen that has been studied in phase 2 and 3 trials. We designed this trial to examine the feasibility and efficacy of adding daratumumab to the IRd regimen as well as early discontinuation of dexamethasone in two sequential cohorts of patients. Patients and Methods: Patients with previously untreated MM who had measurable disease and adequate organ function were enrolled, irrespective of their autologous stem cell transplant eligibility. The primary objective was to determine the rate of complete response to IRD-Dara combination. A one-stage binomial design was utilized in each cohort independently to test the null hypothesis that the complete response rate is at most 25% against the alternative hypothesis that it is at least 45%, with 89% power and 9% type I error. Treatment involved 28-day cycles consisting of ixazomib 4 mg days 1, 8, 15; lenalidomide 25 mg days 1-21, dexamethasone 40 mg, weekly and Dara 16 mg/kg, weekly for two cycles, every other week during cycles 3-6 and then every 4 weeks thereafter during induction (12-cyles) followed by Dara-ixazomib maintenance (maximum 24 cycles). Cohorts A (n=38) and B (N=40) comprised the study population, with dexamethasone discontinued after two cycles in Cohort B. Results: Baseline demographics and patient disposition are outlined in the table. Among those who have gone off study, 9 and 5 patients, respectively in Cohort A and B went off for progression, while 11 and 8 patients in the respective arms discontinued treatment for an alternative therapy, most frequently a transplant. Responses were rapid and deepened over the duration of treatment as shown in the figure; 32% of patients in Cohort A and 28% of patients in Cohort B achieved a complete response; 29% and 23%, respectively, achieved a marrow minimal residual disease (MRD) negative status. After a median follow up was 31.4 months for Cohort A and 18.2 months for Cohort B, median PFS has not been reached in either cohort. A grade 3 or higher adverse event at least possibly attributed to the study drugs was seen in 58% of patients in Cohort A (hematologic in 47% and non-hematologic in 26%) and 50% of patients in Cohort B (hematologic 43%, non-hematologic 20%). The most common toxicities included fatigue, neutropenia, lymphopenia, peripheral neuropathy and nausea. Stem cells were collected in 30 and 31 patients in Cohorts A and B respectively; median (range) of CD34 cells/kg were 8.5 (2.8, 15.9) x 106and 7.0 (2.9, 12.1) x 106, with plerixafor used in 83% and 94% of patients, respectively, in Cohorts A and B as per our standard of care "on-demand" approach based on blood CD34 count. Conclusion: Dara-IRd is an active regimen in newly diagnosed MM, with high overall rates of response and deep responses that improved over time with therapy. Early discontinuation of dexamethasone does not appear to impact the depth, rate or kinetics of response. The toxicities were manageable, with dose modifications. All patients were able to collect stem cells when required, though majority needed plerixafor. Disclosures Kumar: Amgen: Consultancy, Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments, Research Funding; Kite Pharma: Consultancy, Research Funding; Carsgen: Other, Research Funding; Janssen Oncology: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Cellectar: Other; Dr. Reddy's Laboratories: Honoraria; Takeda: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; AbbVie: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Celgene/BMS: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Merck: Consultancy, Research Funding; Adaptive Biotechnologies: Consultancy; Tenebio: Other, Research Funding; Oncopeptides: Consultancy, Other: Independent Review Committee; IRC member; Genentech/Roche: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Genecentrix: Consultancy; Sanofi: Research Funding; Novartis: Research Funding; MedImmune: Research Funding; Karyopharm: Consultancy; BMS: Consultancy, Research Funding. Kapoor:GlaxoSmithKline: Research Funding; Celgene: Honoraria; Takeda: Honoraria, Research Funding; Amgen: Research Funding; Sanofi: Consultancy, Research Funding; Janssen: Research Funding; Cellectar: Consultancy. Dingli:Apellis: Consultancy; Karyopharm Therapeutics: Research Funding; Janssen: Consultancy; Bristol Myers Squibb: Research Funding; Alexion: Consultancy; Rigel: Consultancy; Millenium: Consultancy; Sanofi-Genzyme: Consultancy. Dispenzieri:Pfizer: Research Funding; Takeda: Research Funding; Alnylam: Research Funding; Janssen: Research Funding; Celgene: Research Funding; Intellia: Research Funding. Gertz:Abbvie: Other; Sanofi: Other; Celgene: Other; Research to Practice: Other; Physicians Education Resource: Other: personal fee; Amgen: Other: personal fee; Medscape: Other: personal fee, Speakers Bureau; Appellis: Other: personal fee; Annexon: Other: personal fee; Alnylam: Other: personal fee; Spectrum: Other: personal fee, Research Funding; Janssen: Other: personal fee; Teva: Speakers Bureau; Aurora Bio: Other; Springer Publishing: Patents & Royalties; Proclara: Other; DAVA oncology: Speakers Bureau; Johnson and Johnson: Speakers Bureau; Ionis/Akcea: Other: personal fee; Prothena: Other: personal fee.
Unmet Needs in AL Amyloidosis: Outcomes in the Modern Era Among the Highest Risk, Newly Diagnosed AL Amyloidosis Patients
Kumar, Shaji , Lacy, Martha Q. , Hwa, Yi L. , Fonder, Amie , Hobbs, Miriam, Hayman, Suzanne R. , Kourelis, Taxiarchis , Warsame, Rahma , Kapoor, Prashant , Grogan, Martha , Kyle, Robert A. , Lust, John A., Dispenzieri, Angela , Buadi, Francis K. , Dingli, David , Muchtar, Eli , Leung, Nelson , Lin, Yi , Go, Ronald S. , Gonsalves, Wilson I. , Siddiqui, Mustaqeem , Rajkumar, S. Vincent , Gertz, Morie A.

Blood | February 8, 2021 | Volume: 136 | Issue: Supplement 1 | Pages: 31-32

10.1182/blood-2020-141604 Get It

Background: Newly diagnosed patients with AL Amyloidosis are a heterogeneous population, ranging from incidentally found nephrotic syndrome to delayed advanced cardiac disease. For the purposes of trials, patients with the highest-risk disease are often excluded from trial participation. An NT-proBNP of 8500 or higher is the criterion most often used for exclusion from clinical trials due to high rates of early death. It is well documented that overall survival is improving over time, in part due to earlier diagnosis and in part due to more effective therapies. It is our aim to describe outcomes of patients with very high (NT-proBNP >=8500) and advanced stage amyloidosis excluding very high (VH) NT-proBNP. Methods: To address this need, we examined the outcomes of AL patients diagnosed between 1/2012 and 7/2020 and seen at our institution within 90 days of diagnosis. Of the 1290 patients, 291 were seen beyond the 90 day threshold and were thus excluded. Another 170 patients were excluded due to missing biomarkers to calculate stage, leaving 829 patients for our analysis. Thresholds for troponins and BNPs were used according to Muchtar Blood 133(7):2019 to correct for assay used. The vast majority of patients had troponin T measured, and for them the 0.025 mcg/L and the 0.035 mcg/L cut-points were used for the 2012 and 2004 staging systems. A minority of patients did not have troponin T, but rather high sensitivity troponin T (n=129) or troponin I (n=23). For patients with high sensitivity troponin T, cut-points of 41 and 50 ng/L were used, respectively, for the 2012 and 2004 systems, and for patients with troponin I only, a cut-point of 0.1 mcg/L was used for both systems. In the 3 patients with no NT-proBNP but with BNP, 400 and 81 ng/L were used respectively for the 2012 and 2004 systems; otherwise, the 1800 ng/L and 332 ng/L cut-offs were used. A BNP of > 700 ng/L was considered equivalent to NT-proBNP greater than or equal to 8500 ng/L. For the 2012 system, the dFLC of 18 mg/dL was used as a cut-off. Survival estimates were done using the method of Kaplan-Meier, and differences in survival were by determined by Log-Rank. Results: The median age of patients was 65 (range 29, 89), and 65% were male. 148 (17%) of these newly diagnosed patients had a VH (>=8500) NT-proBNP. Patients with VH NT-proBNP were older (67 versus 64 years, p=0.004). Only 4% of the VH NT-proBNP patients received an ASCT in contrast to 34% without VH NT-proBNP. With a median follow-up of 30 months for surviving patients, median OS for VH NT-proBNP patients was 3.3 months in contrast to patients without VH NT-proBNP at 68.4 months (Figure). Breakdown of early death for patients with VH NT-proBNP by stage is shown in Table. Of Mayo 2012 patients staged I, II, III, and IV, the percent of patients with VH NT-proBNP was 0, 3, 20, and 45%. In contrast, for the European modification of the Mayo 2004 system, the percent with VH NT-proBNP by stage was 0, 6, 0, 100 for stages I, II, IIIa, and IIIb, respectively. Among the VH NT-proBNP patients, there was stage discrimination using the Mayo 2012 system (6-month death rates were 17, 45, and 66% for patients with stages II, III, and IV, respectively, p=0.02). In contrast, using the Mayo 2004 system in the patients with VH NT-proBNP, 6-month death rates were 45 and 60% for stage II and IIIb patients, respectively (p= 0.12). Among patients without VH NT-proBNP, rates of death in the first year were 21% including stage I patients whose death rates were well under 10%. Patients without VH NT-proBNP but Mayo 2012 Stage III and IV had 1-year mortalities of 28 and 43% respectively. Using the modified Mayo 2004 system, excluding the VH NT-proBNP 1-year mortality was 19 and 37% for patients with stage II and IIIa, respectively. Discussion: Establishing expected outcomes for the sickest AL amyloidosis patients is a means by which trials can be designed for these patients with an unmet need. Patients with VH NT-proBNP should be considered for specially designed trials, and patients without VH NT-proBNP and advanced stage should be included in trials for newly diagnosed patients regardless of stage as long as there is appropriate stratification. Disclosures Dispenzieri: Janssen: Research Funding; Pfizer: Research Funding; Intellia: Research Funding; Alnylam: Research Funding; Celgene: Research Funding; Takeda: Research Funding. Kumar:AbbVie: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Tenebio: Other, Research Funding; BMS: Consultancy, Research Funding; Sanofi: Research Funding; Carsgen: Other, Research Funding; Amgen: Consultancy, Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments, Research Funding; Oncopeptides: Consultancy, Other: Independent Review Committee; IRC member; Celgene/BMS: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Merck: Consultancy, Research Funding; Takeda: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Janssen Oncology: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Adaptive Biotechnologies: Consultancy; Dr. Reddy's Laboratories: Honoraria; Novartis: Research Funding; MedImmune: Research Funding; Genecentrix: Consultancy; Kite Pharma: Consultancy, Research Funding; Cellectar: Other; Karyopharm: Consultancy; Genentech/Roche: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments. Dingli:Karyopharm Therapeutics: Research Funding; Bristol Myers Squibb: Research Funding; Millenium: Consultancy; Janssen: Consultancy; Alexion: Consultancy; Rigel: Consultancy; Apellis: Consultancy; Sanofi-Genzyme: Consultancy. Kapoor:Celgene: Honoraria; Cellectar: Consultancy; Janssen: Research Funding; Sanofi: Consultancy, Research Funding; Amgen: Research Funding; Takeda: Honoraria, Research Funding; GlaxoSmithKline: Research Funding. Lin:Janssen: Consultancy, Research Funding; Kite, a Gilead Company: Consultancy, Research Funding; Novartis: Consultancy; Celgene: Consultancy, Research Funding; Bluebird Bio: Consultancy, Research Funding; Juno: Consultancy; Legend BioTech: Consultancy; Merck: Research Funding; Takeda: Research Funding; Gamida Cells: Consultancy; Sorrento: Consultancy, Membership on an entity's Board of Directors or advisory committees; Vineti: Consultancy. Gertz:Springer Publishing: Patents & Royalties; Amyloidosis Foundation: Research Funding; International Waldenstrom Foundation: Research Funding; NCI SPORE MM: Research Funding; Ionis/Akcea: Consultancy; Alnylam: Consultancy; Prothena: Consultancy; Sanofi: Consultancy; Janssen: Consultancy; Spectrum: Consultancy, Research Funding; Annexon: Consultancy; Appellis: Consultancy; Amgen: Consultancy; Medscape: Consultancy, Speakers Bureau; Physicians Education Resource: Consultancy; Data Safety Monitoring board from Abbvie: Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy; Johnson and Johnson: Speakers Bureau; DAVA oncology: Speakers Bureau; Advisory Board for Pharmacyclics: Membership on an entity's Board of Directors or advisory committees; Advisory Board for Proclara: Membership on an entity's Board of Directors or advisory committees; i3Health: Consultancy.
Determination of Relapse Risk By Complement Gene Variants after Eculizumab Discontinuation in Complement-Mediated Thrombotic Microangiopathy: A Retrospective Review
Moyer, Ann M. , Rios, Christianne Bourlon De Los, Heikal, Nahla, Tran, Cheryl L. , Acosta‐Medina, Aldo A. , Go, Ronald S. , Willrich, Maria Alice V. , Alkhateeb, Hassan B. , Chen, Dong , Fervenza, Fernando C. , Leung, Nelson , Marshall, Ariela L. , Winters, Jeffrey L. , Sridharan, Meera

Blood | February 6, 2021 | Volume: 136 | Issue: Supplement 1 | Pages: 25-26

10.1182/blood-2020-136617 Get It

Background Eculizumab, a monoclonal antibody targeting C5, is an effective treatment for complement-mediated thrombotic microangiopathy (CM-TMA), also known as atypical hemolytic uremic syndrome. Although lifelong therapy has been suggested, the optimal treatment schedule is unknown, while eculizumab discontinuation does not universally lead to relapse. Data evaluating risk factors associated with an increased risk of CM-TMA recurrence following eculizumab withdrawal are scarce. Prior to the eculizumab era, complement genetic studies have been used to assess morbidity and mortality in patients with CM-TMA. Our aim was to assess the impact of complement gene variants on CM-TMA relapse rate (RR) after eculizumab discontinuation. Methods Search protocols were developed for the Ovid and PubMed databases to identify existing reports on CM-TMA and eculizumab withdrawal published before February 1st 2020. Cases were cross-referenced to eliminate duplicates. Inclusion criteria included patients diagnosed with CM-TMA who had undergone eculizumab discontinuation. Reasons for exclusion were patients with no follow-up after eculizumab withdrawal and patients lacking complement gene testing. Patients undergoing eculizumab dose extension, but not discontinuation, were not included. Results Fifteen studies including 557 individuals were retrieved. Of these, 363 (65.2%) were excluded as outlined in Figure 1 and 194 cases were included in the final analysis with a global RR of 28.9% (n=56). Distribution based on gene impacted and variant type are presented in Table 1. RR was highest among patients with CFH variants (52.5% to 60%) -particularly if involving exon 22 or nonsense mutations-, MCP/CD46 variants (38.9% to 45%) -particularly if affecting splice regions-, and cases with multiple concomitant variants (57.1%) -particularly those including CFH or a CFH-CFHR1 Hybrid (Table 2). Patients with relapse were more likely to have the presence of a complement variant (p<0.001), history of previously resolved CM-TMA events (p=0.022), younger age (mean age 22.4 years for patients with relapse vs. 32.33 years for patients without relapse; p=0.002) and, within those with detected variants, multiple vs. single variants (p=0.002) and CFH-inclusive variants (p=0.003). On univariate analysis, complement gene variants (OR 4.217 95%CI 1.97-9.026; p<0.001), age <30 years (OR 2.346 95%CI 1.159-4.749; p=0.018), and presence of multiple variants (OR 2.06 95%CI 1.172-3.621; p=0.012) or CFH-inclusive variants (OR 3.111 95%CI 1.443-6.71; p=0.004) were associated with increased odds of CM-TMA relapse, while no prior history of additional CM-TMA events was the only factor associated with lower RR (OR 0.327 95%CI 0.123-0.87; p=0.025). Presence of complement variants (OR 4.48 95%CI 1.132-17.724; p=0.033) and CFH-inclusive variants (OR 3.045 95%CI 1.136-8.159; p=0.027) were independently associated with increased RR on multivariate analysis (Table 3). Conclusion Relapse after eculizumab discontinuation is rare in cases with no genetic variants identified but can increase to more than 80% in high-risk subgroups. Complement genetic testing is not required for CM-TMA diagnosis or for initiation of complement inhibiting therapy; however, our results demonstrate the value of complement genetic testing when stratifying risk of patients for consideration of eculizumab discontinuation. Disclosures Sridharan: Alexion: Honoraria.
Autologous Stem Cell Transplantation for Multiple Myeloma Patients Aged ≥ 75 Treated with Novel Agents
Vaxman, Iuliana , Kumar, Shaji , Lacy, Martha Q. , Kapoor, Prashant , Hayman, Suzanne R. , Kourelis, Taxiarchis , Warsame, Rahma , Berger, Tamar , Vaxman, Iuliana , Visram, Alissa , Dispenzieri, Angela , Buadi, Francis K. , Dingli, David , Muchtar, Eli , Hogan, William J. , Leung, Nelson , Gonsalves, Wilson I. , Gertz, Morie A.

Blood | February 6, 2021 | Volume: 136 | Issue: Supplement 1 | Pages: 12-13

10.1182/blood-2020-138625 Get It

Introduction Autologous stem cell transplantation (ASCT) has been used for treating multiple myeloma (MM) for over three decades and is generally reserved for patients younger than 65 years of age. The definition of transplant eligible is ill-defined and different centers have different policies to determine which patients are transplant eligible. Some centers have an age cut-off, others use clinical judgment, and some use various frailty scores (a scoring system based on comorbidities and physical and cognitive assessments) aiming to objectively assess transplant eligibility. There are limited data about outcomes in patients ≥ 75 years. Aim To report on outcomes of ASCT in a cohort of patients with MM aged 75 years or older. Methods Retrospective study of all consecutive MM patients aged ≥ 75 years that underwent ASCT at Mayo Clinic, Rochester, Minnesota. Stem cell transplantation at our center is routinely performed as an outpatient, with patients being hospitalized when deemed clinically necessary upon physician review. Results Between October 2005 and March 2020, 46 patients aged 75 years or older, received an ASCT at Mayo Clinic, Rochester. The median hematopoietic stem cell transplantation specific comorbidity index (HCT-CI) was 0 (range 0-6) with 8 patients having HCT-CI of 5 or 6. Median time from diagnosis to ASCT was 6.45 months (IQR 5.2-10.52) and 54% received reduced intensity conditioning with melphalan 140 mg/m2. All patients except one (that was treated with dexamethasone only) received induction with novel agents (listed in table 1) and 6 patients (13%) received doublet induction. All others received triplet induction. 46% of patients completed the ASCT without requiring hospitalization and 54% (n=25) of patients required hospitalization with a median duration of hospital admission of 9 days (IQR 5-13). Reasons for hospitalization included fever or infection (32%), cardiac arrhythmia (36%) and dehydration (32%). Overall response rate was 100% with a complete response seen in 57% of patients and 16 patients achieving MRD negative sCR. Median overall survival and progression free survival for the cohort were 82 months and 33 months, respectively. One patient died within 100 days of transplant representing a 2% 100-day mortality rate. Univariable cox regression model that evaluated the effect of gender, high risk cytogenetics, hemoglobin, renal function and melphalan dose did not detect any variable that was predictive of OS or PFS (Table 3). Conclusions ASCT is efficacious and can be safely delivered in the outpatient setting in carefully screened patients aged 75 or above. An arbitrary cutoff for age should not be used to exclude patients from ASCT, rather a careful assessment of "physiological age" including performance status and co-morbidities is required by an experienced treating team. Disclosures Kumar: Amgen: Consultancy, Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments, Research Funding; Cellectar: Other; Carsgen: Other, Research Funding; Dr. Reddy's Laboratories: Honoraria; Genentech/Roche: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Sanofi: Research Funding; Kite Pharma: Consultancy, Research Funding; Novartis: Research Funding; Celgene/BMS: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Merck: Consultancy, Research Funding; MedImmune: Research Funding; BMS: Consultancy, Research Funding; Tenebio: Other, Research Funding; Karyopharm: Consultancy; AbbVie: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Janssen Oncology: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Takeda: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Genecentrix: Consultancy; Oncopeptides: Consultancy, Other: Independent Review Committee; IRC member; Adaptive Biotechnologies: Consultancy. Dispenzieri:Pfizer: Research Funding; Janssen: Research Funding; Alnylam: Research Funding; Intellia: Research Funding; Takeda: Research Funding; Celgene: Research Funding. Dingli:Bristol Myers Squibb: Research Funding; Rigel: Consultancy; Janssen: Consultancy; Alexion: Consultancy; Karyopharm Therapeutics: Research Funding; Apellis: Consultancy; Sanofi-Genzyme: Consultancy; Millenium: Consultancy. Kapoor:Cellectar: Consultancy; Takeda: Honoraria, Research Funding; Celgene: Honoraria; Amgen: Research Funding; Sanofi: Consultancy, Research Funding; Janssen: Research Funding; GlaxoSmithKline: Research Funding. Gertz:Prothena: Other: personal fee; Medscape: Other: personal fee, Speakers Bureau; Appellis: Other: personal fee; Alnylam: Other: personal fee; Ionis/Akcea: Other: personal fee; Janssen: Other: personal fee; Research to Practice: Other; Sanofi: Other; Teva: Speakers Bureau; Johnson and Johnson: Speakers Bureau; DAVA oncology: Speakers Bureau; Proclara: Other; Springer Publishing: Patents & Royalties; Celgene: Other; Physicians Education Resource: Other: personal fee; Aurora Bio: Other; Amgen: Other: personal fee; Annexon: Other: personal fee; Spectrum: Other: personal fee, Research Funding; Abbvie: Other.
Comparison of the current renal staging, progression and response criteria to predict renal survival in AL amyloidosis using a Mayo cohort
Drosou, Maria Eleni , Vaughan, Lisa E. , Muchtar, Eli , Dingli, David , Fonder, Amie , Gertz, Morie A. , Gonsalves, Wilson I. , Hayman, Suzanne R. , Hobbs, Miriam, Hwa, Yi L. , Kapoor, Prashant , Kourelis, Taxiarchis , Kumar, Shaji , Kyle, Robert A. , Lacy, Martha Q. , Lin, Yi , Lopez, Camden , Lust, John A., Russell, Stephen J. , Sidana, Surbhi , Siddiqui, Mustaqeem , Warsame, Rahma , Dispenzieri, Angela , Fonder, Amie L, Gertz, Morie A , Gonsalves, Wilson , Hwa, Yi L , Kourelis, Taxiarchis , Lopez, Camden L, Rajkumar, S Vincent , Sidana, Surbhi , Sidiqi, M Hasib , Warsame, Rahma , Leung, Nelson , Muchtar, E , Russell, Stephen J , Siddiqui, Mustaqeem A , Lopez, Camden L , Dingli, David , Lin, Yi , Buadi, Francis K. , Dispenzieri, Angela , Go, Ronald S. , Rajkumar, S. Vincent , Sidiqi, M Hasib , Leung, Nelson

American Journal of Hematology | January 15, 2021 | Volume: 96 | Issue: 4 | Pages: 446-454

10.1002/ajh.26092 Get It

AbstractThree sets of criteria (International Society of Amyloidosis [ISA], Palladini and Kastritis) were independently developed for staging, progression and response criteria to predict renal survival in patients with AL amyloidosis. We evaluated these criteria using a cohort of 495 newly diagnosed AL amyloidosis patients with renal involvement using time to event competing risk analysis at baseline, 3, 6 and 12 months after treatment. Only Palladini and Kastritis had a staging system and both predicted a higher risk of end stage renal disease (ESRD) in the stage III vs stage I patients but only the Palladini model was predictive for stage II patients. At 3 months, risk of ESRD was significantly higher for Palladini and ISA renal progression (hazard ratio [HR] 2.8 [95% CI: 1.5–5.3, p = .001] and 2.5 [CI: 1.4–4.6, p = .004, respectively]), but renal response was not significantly protective; conversely, the risk of ESRD was not significantly higher for the Kastritis renal progression, but was significantly protective for the Kastritis renal responders (HR 0.38 [95% CI: 0.17–0.84], p = .017). Both progression and response with ISA, Palladini and Kastritis criteria were predictive of ESRD at 6 months and 12 months. While the Palladini staging criteria at baseline, and the ISA and Palladini criteria for progression at 3 months performed better than the Kastritis criteria at baseline and 3 months post‐treatment, the Kastritis criteria performed better for response 3 months after treatment. All three sets of criteria performed well at and after 6 months post‐treatment. These differences are important when choosing endpoints for clinical trials.
Outcomes with different administration schedules of bortezomib in bortezomib, lenalidomide and dexamethasone (VRd) as first‐line therapy in multiple myeloma
Cook, Joselle , Johnson, Isla McKerrow , Higgins, Alexandra , Sidana, Surbhi , Warsame, Rahma , Gonsalves, Wilson I. , Gertz, Morie A. , Lacy, Martha Q. , Kapoor, Prashant , Kourelis, Taxiarchis , Dingli, David , Fonder, Amie , Hayman, Suzanne R. , Hobbs, Miriam, Hwa, Yi L. , Kyle, Robert A. , Kumar, Shaji , Johnson, Isla, Gonsalves, Wilson , Lacy, Martha, Dispenzieri, Angela , Kourelis, Taxiarchis , Hwa, Yi L , Leung, Nelson , Rajkumar, S Vincent , Gertz, Morie A , Higgins, Alexandra , Sidana, Surbhi , Dingli, David , Cook, Joselle M , Buadi, Francis K. , Dispenzieri, Angela , Leung, Nelson , Go, Ronald S. , Rajkumar, S. Vincent

American Journal of Hematology | December 17, 2020 | Volume: 96 | Issue: 3 | Pages: 330-337

10.1002/ajh.26074 Get It

AbstractInduction therapy for multiple myeloma with bortezomib (Velcade), lenalidomide (Revlimid), and dexamethasone (d) (VRd) was traditionally administered as bortezomib given twice weekly on a 3 week cycle. A modified schedule of weekly bortezomib has been adopted over time to decrease treatment burden for patients and reduce treatment‐emergent neuropathy. This study evaluates the response rates and outcomes with different schedules of bortezomib in VRd administered for first‐line treatment for patients with newly diagnosed MM (NDMM). We retrospectively analyzed patients treated with upfront VRd from June 30th 2008 to December 31st 2018, for variations of bortezomib administration. Five hundred and fifty‐five (555) NDMM patients met inclusion criteria; median age 63 years and 61% men. Bortezomib was administered twice weekly every 21 days in 43%, once weekly every 21 days in 41% and once weekly every 28 days in 16%. Though peripheral sensory neuropathy was more frequent with twice weekly dosing (P = .002), this group achieved shorter time to best response (P = .01). Weekly every 21‐day treatment saw higher VGPR or better rates (P = .02). However, with median follow up time of 37 months (IQR 22–56), we found no difference in PFS or OS among the groups. While small differences in response rates were found among the varying administration schedules of bortezomib administration, there was no significant effect on PFS or OS. Given that VRd remains a first line standard of care option for newly diagnosed MM, in the absence of a large trial comparing bortezomib dosing schedule modifications, these results are helpful in supporting current practices of once weekly administration.
Characterization and prognostic implication of delayed complete response in AL amyloidosis
Muchtar, Eli , Kumar, Shaji , Lacy, Martha Q. , Dingli, David , Hayman, Suzanne R. , Kapoor, Prashant , Kourelis, Taxiarchis , Warsame, Rahma , Hwa, Yi L. , Fonder, Amie , Hobbs, Miriam, Russell, Stephen J. , Lust, John A., Siddiqui, Mustaqeem , Kyle, Robert A. , Gonsalves, Wilson , Kourelis, Taxiarchis V, Hwa, Yi L , Russell, Stephen, Siddiqui, Mustaqueem, Dispenzieri, Angela , Muchtar, E , Russell, Stephen J , Siddiqui, Mustaqeem A , Dingli, David , Gertz, Morie A. , Leung, Nelson , Buadi, Francis K. , Go, Ronald S. , Gonsalves, Wilson I. , Rajkumar, S. Vincent , Dispenzieri, Angela

European Journal of Haematology | November 24, 2020 | Volume: 106 | Issue: 3 | Pages: 354-361

10.1111/ejh.13554 Get It

AbstractIntroductionLittle is known on continued response following completion of therapy in light chain (AL) amyloidosis.MethodsWe studied 373 AL amyloidosis patients who achieved complete response (CR) or very good partial response (VGPR) to first‐line therapy.ResultsBy end of therapy (EOT), 46% of patients achieved a CR and 54% a VGPR. With no further therapy, 17.5% of patients were upstaged from VGPR to CR (delayed CR), with a median of 9 months. Compared with CR and VGPR at EOT, patients with a delayed CR were characterized by higher proportion of t(11;14) and lower rate of trisomies. Autologous stem cell transplant was more frequent in the delayed CR group. Patients with a delayed CR were characterized by minimal residual disease negativity and organ response rates similar to patients with CR at EOT and higher than patients achieving VGPR at EOT. Patients with a delayed CR had a longer PFS/OS compared to patients with CR or VGPR by EOT (median PFS 149 vs 92 vs 52 months, P < .001; 10‐year OS 87% vs 71% vs 56%, P < .001).ConclusionsThis study characterizes delayed CR in AL amyloidosis, highlights its prognostic impact which is at least similar to those who achieved CR at EOT, and underlines another aspect of response monitoring.
Implications of detecting serum monoclonal protein by MASS‐fix following stem cell transplantation in multiple myeloma
Abeykoon, Jithma P. , Murray, David , Murray, Isaiah, Otteson, Gregory E., Arendt, Bonnie K., Dasari, Surendra , Gonsalves, Wilson I. , Kourelis, Taxiarchis , Dingli, David , Warsame, Rahma , Lacy, Martha Q. , Lin, Yi , Kyle, Robert A. , Kumar, Shaji , Kapoor, Prashant , Murray, David L., Gonsalves, Wilson , Kourelis, Taxiarchis , Muchtar, E , Leung, Nelson , Rajkumar, Vincent, Kumar, Shaji K , Dingli, David , Lin, Yi , Jevremović, Dragan , Dispenzieri, Angela , Gertz, Morie A. , Muchtar, Eli , Go, Ronald S. , Leung, Nelson , Buadi, Francis K. , Rajkumar, S. Vincent

British Journal of Haematology | November 21, 2020 | Volume: 193 | Issue: 2 | Pages: 380-385

10.1111/bjh.17195 Get It

SummaryMeasurable residual disease (MRD) assessment by marrow‐based next‐generation flow cytometry (NGF) following autologous stem cell transplantation (ASCT) may lead to false‐negative results due to patchy marrow involvement and extramedullary disease in patients with multiple myeloma. We assessed the value of simultaneous MRD evaluation with NGF and serum matrix‐assisted laser desorption ionization time‐of‐flight mass spectrometry (MASS‐FIX). Of all 61 complete responders who were NGF‐negative for MRD, around day‐100 post ASCT, 59% were MASS‐FIX‐positive. At median follow‐up of 26 months, 69% of MASS‐FIX(+)/NGF(−) patients were alive and progression‐free versus 96% of MASS‐FIX(‐)/NGF(−) patients, P = 0·02. MASS‐FIX, a simple peripheral blood‐based assay complements marrow‐based NGF to accurately prognosticate patients with myeloma.