Nooka, Ajay K.

PURPOSE At the primary analysis of CASTOR (median follow-up, 7.4 months), daratumumab plus bortezomib and dexamethasone (D-Vd) significantly prolonged progression-free survival versus bortezomib and dexamethasone (Vd) alone in relapsed or refractory multiple myeloma (RRMM). We report updated efficacy and safety results at the final analysis for overall survival (OS). METHODS CASTOR was a multicenter, randomized, open-label, phase III study during which eligible patients with ≥ 1 line of prior therapy were randomly assigned to Vd (up to eight cycles) with or without daratumumab (until disease progression). After positive primary analysis and protocol amendment, patients receiving Vd were offered daratumumab monotherapy after disease progression. RESULTS At a median (range) follow-up of 72.6 months (0.0-79.8), significant OS benefit was observed with D-Vd (hazard ratio, 0.74; 95% CI, 0.59 to 0.92; P = .0075). Median OS was 49.6 months with D-Vd versus 38.5 months with Vd. Prespecified subgroup analyses demonstrated an OS advantage with D-Vd versus Vd for most subgroups, including patients age ≥ 65 years and patients with one or two prior lines of therapy, International Staging System stage III disease, high-risk cytogenetic abnormalities, and prior bortezomib treatment. The most common (≥ 10%) grade 3/4 treatment-emergent adverse events with D-Vd versus Vd were thrombocytopenia (46.1% v 32.9%), anemia (16.0% v 16.0%), neutropenia (13.6% v 4.6%), lymphopenia (10.3% v 2.5%), and pneumonia (10.7% v 10.1%). CONCLUSION D-Vd significantly prolonged OS in patients with RRMM, with the greatest OS benefit observed in patients with one prior line of therapy. To our knowledge, our results, together with the OS benefit observed with daratumumab plus lenalidomide and dexamethasone in the phase III POLLUX study, demonstrate for the first time an OS benefit with daratumumab-containing regimens in RRMM (ClinicalTrials.gov identifier: NCT02136134 [CASTOR]).

AbstractBackgroundPlatelet transfusion carries risk of transfusion‐transmitted infection (TTI). Pathogen reduction of platelet components (PRPC) is designed to reduce TTI. Pulmonary adverse events (AEs), including transfusion‐related acute lung injury and acute respiratory distress syndrome (ARDS) occur with platelet transfusion.Study designAn open label, sequential cohort study of transfusion‐dependent hematology‐oncology patients was conducted to compare pulmonary safety of PRPC with conventional PC (CPC). The primary outcome was the incidence of treatment‐emergent assisted mechanical ventilation (TEAMV) by non‐inferiority. Secondary outcomes included: time to TEAMV, ARDS, pulmonary AEs, peri‐transfusion AE, hemorrhagic AE, transfusion reactions (TRs), PC and red blood cell (RBC) use, and mortality.ResultsBy modified intent‐to‐treat (mITT), 1068 patients received 5277 PRPC and 1223 patients received 5487 CPC. The cohorts had similar demographics, primary disease, and primary therapy. PRPC were non‐inferior to CPC for TEAMV (treatment difference −1.7%, 95% CI: (−3.3% to −0.1%); odds ratio = 0.53, 95% CI: (0.30, 0.94). The cumulative incidence of TEAMV for PRPC (2.9%) was significantly less than CPC (4.6%, p = .039). The incidence of ARDS was less, but not significantly different, for PRPC (1.0% vs. 1.8%, p = .151; odds ratio = 0.57, 95% CI: (0.27, 1.18). AE, pulmonary AE, and mortality were not different between cohorts. TRs were similar for PRPC and CPC (8.3% vs. 9.7%, p = .256); and allergic TR were significantly less with PRPC (p = .006). PC and RBC use were not increased with PRPC.DiscussionPRPC demonstrated reduced TEAMV with no excess treatment‐related pulmonary morbidity.

Abstract Waldenstrom macroglobulinemia (WM) and its precursor IgM gammopathy are distinct disorders characterized by clonal mature IgM-expressing B-cell outgrowth in the bone marrow. Here, we show by high-dimensional single-cell immunogenomic profiling of patient samples that these disorders originate in the setting of global B-cell compartment alterations, characterized by expansion of genomically aberrant extrafollicular B cells of the nonmalignant clonotype. Alterations in the immune microenvironment preceding malignant clonal expansion include myeloid inflammation and naïve B- and T-cell depletion. Host response to these early lesions involves clone-specific T-cell immunity that may include MYD88 mutation–specific responses. Hematopoietic progenitors carry the oncogenic MYD88 mutations characteristic of the malignant WM clone. These data support a model for WM pathogenesis wherein oncogenic alterations and signaling in progenitors, myeloid inflammation, and global alterations in extrafollicular B cells create the milieu promoting extranodal pattern of growth in differentiated malignant cells. Significance: These data provide evidence that growth of the malignant clone in WM is preceded by expansion of extrafollicular B cells, myeloid inflammation, and immune dysfunction in the preneoplastic phase. These changes may be related in part to MYD88 oncogenic signaling in pre–B progenitor cells and suggest a novel model for WM pathogenesis. This article is highlighted in the In This Issue feature, p. 549

Introduction Multiple myeloma (MM), relapsed or refractory (R/R) to standard of care therapies, represents a treatment indication with a significant unmet clinical need. Transcriptional activation of c-MYC through bromodomain and extra-terminal (BET) proteins contributes to the malignant phenotype of the disease. RO is a novel thienodiazepine, small molecule, non-covalent inhibitor of the BET family of bromodomains. Preclinical studies with BET inhibitors have demonstrated significant single agent in vivo activity in myeloma, accompanied by down-regulation of MYC and MYC target gene expression. We report results of a monotherapy phase 1b study of RO in R/R MM (NCT03068351). Methods Eligible pts with R/R MM included those treated with at least three prior lines of multiple myeloma therapy, including a proteasome inhibitor and an immunomodulatory agent, or who are double-refractory to a proteasome inhibitor and an immunomodulatory agent. Primary refractory myeloma pts were only allowed in the dose escalation portion of the study. In the dose escalation (part I), pts received subcutaneous (SC) escalating doses of RO (0.30-0.65 mg/kg) in a standard 3 + 3 design on days 1 - 14 of 21-day cycles to determine both the maximum tolerated dose (MTD) and recommended dose (RD). In the expansion cohort (part II), pts received RO as monotherapy at the RD level. Primary endpoint was safety (DLT, MTD, RD) and secondary endpoints included evaluation of pharmacodynamics (CD11b expression) and preliminary efficacy assessments based on IMWG criteria. Results Between June 2017 and April 2019, a total of 24 pts were enrolled in the US, the UK and Australia. 13 pts were enrolled in the dose escalation and 11 pts in the expansion part. The median age of pts was 65.5 years (range: 46 - 82 years). The study population was heavily pretreated with a median of 6 (3-9) prior therapies. Pts were refractory to immunomodulatory drugs (63%), proteasome inhibitors (46%), both (46%), or daratumumab (42%). 57 total cycles were administered, with a median of 2 (1-6) cycles per patient (pt). Two DLTs occurred in one pt in the 0.65 mg/kg cohort (thrombocytopenia grade 4, angina pectoris grade 3). The recommended dose is 0.65 mg/kg. Grade 3 treatment emergent AEs in ≥ 5% of pts were thrombocytopenia (11 pts [45.8%]), anemia (7 pts [29.2%]), fatigue (3 pts [12.5%]), injection site reaction, malaise, decreased appetite, and hyponatremia (2 pts [8.3%] each). 3 pts (12.5%) experienced a total of 4 AEs leading to discontinuation of the study treatment; these AEs were left ventricular dysfunction, fatigue, sepsis, and staphylococcal bacteremia (the latter two AEs occurred in the same pt). A total of 8 deaths (33.3%) were reported in the study, all as a consequence of progressive disease. The best overall response recorded was partial response in 4 pts (16.7 %), 3 of whom having received prior daratumumab. One pt experienced a minimal response, and stable disease was reported in 12 out of 24 (50%). There was no evidence for a dose-related increase in efficacy, though data are very limited (Table). Responses obtained during treatment with RO6870810 were short-lived and lasted for appr. 6 weeks. As evidence of target engagement, pharmacodynamic profiling demonstrated decreases in CD11b levels in peripheral blood mononuclear cells (Figure). Conclusions Treatment of MM pts with the BET inhibitor RO as monotherapy resulted in a high incidence of cytopenias, especially grade 3-4 thrombocytopenia and grade 3 anemia. However, none of these events led to study drug discontinuation. Cytopenias are a known side effect of BET inhibitors, with thrombocytopenia frequently reported as a DLT in various pt populations. Pts with NUT carcinoma, other solid tumors, or diffuse large B-cell lymphoma treated in the First in Man trial of RO had a low rate of cytopenias, indicating that the underlying disease and the extensive pre-treatment in MM may play a role in their occurrence (publication submitted). In this heavily pretreated R/R MM population, we have established 0.65 mg/kg as the recommended monotherapy dose. Pharmacodynamics effects were evident at this dose, but as monotherapy in this R/R MM cohort, response rates were low and less durable. Future drug combination approaches may result in an improved benefit / risk ratio. Disclosures Ramasamy: Janssen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; BMS: Consultancy, Research Funding, Speakers Bureau; Takeda: Consultancy, Research Funding, Speakers Bureau; Amgen: Consultancy, Honoraria, Research Funding; Abbvie: Consultancy, Honoraria; Sanofi: Consultancy, Honoraria; Oncopeptides: Consultancy, Honoraria. Nooka:Adaptive Technologies: Consultancy, Honoraria; Oncopeptides: Consultancy, Honoraria; Spectrum Pharmaceuticals: Consultancy; GlaxoSmithKline: Consultancy, Honoraria, Other: Personal Fees: Travel/accomodations/expenses, Research Funding; Takeda: Consultancy, Honoraria, Research Funding; Celgene: Consultancy, Honoraria, Research Funding; Janssen: Consultancy, Honoraria, Research Funding; Amgen: Consultancy, Honoraria, Research Funding; Bristol-Myers Squibb: Consultancy, Honoraria, Research Funding; Sanofi: Consultancy, Honoraria; Karyopharm Therapeutics, Adaptive technologies: Consultancy, Honoraria, Research Funding. Quach:Amgen, Celgene, karyopharm, GSK, Janssen Cilag, Sanofi.: Membership on an entity's Board of Directors or advisory committees; GlaxoSmithKline, Karyopharm, Amgen, Celgene, Janssen Cilag: Consultancy; GlaxoSmithKline, Karyopharm, Amgen, Celgene, Janssen Cilag: Honoraria; Amgen, sanofi, celgene, Karyopharm, GSK: Research Funding. Htut:City of Hope Medical Center: Current Employment. Popat:AbbVie: Consultancy, Honoraria; Celgene: Consultancy, Honoraria; Takeda: Consultancy, Honoraria, Other: Travel support, Research Funding; Bristol Myers Squibb: Consultancy, Honoraria; GSK: Consultancy, Honoraria, Other: TRAVEL, ACCOMMODATIONS, EXPENSES (paid by any for-profit health care company); Janssen: Consultancy, Honoraria, Other: TRAVEL, ACCOMMODATIONS, EXPENSES (paid by any for-profit health care company). Liedtke:Jazz Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees; GSK: Membership on an entity's Board of Directors or advisory committees; Pfizer: Honoraria; Janssen: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Caelum: Membership on an entity's Board of Directors or advisory committees; Adaptive: Membership on an entity's Board of Directors or advisory committees. Tuchman:Caelum: Honoraria; Sanofi: Honoraria, Research Funding; Amgen: Research Funding; Janssen: Research Funding; Oncopeptides: Consultancy; Roche: Research Funding; Karyopharm: Honoraria, Research Funding; Celgene: Honoraria, Research Funding, Speakers Bureau. Hertzberg:Gilead: Membership on an entity's Board of Directors or advisory committees; MSD: Membership on an entity's Board of Directors or advisory committees; Abbvie: Honoraria; BMS: Honoraria; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Roche: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Support of parent study and funding of editorial support. Demario:BioNTech SE: Current Employment, Current equity holder in publicly-traded company; Hoffmann-La Roche Ltd.: Current equity holder in publicly-traded company, Ended employment in the past 24 months. Nueesch:Hoffmann-La Roche Ltd.: Current Employment, Current equity holder in publicly-traded company. Chesne:Hoffmann-La Roche Ltd.: Current Employment, Current equity holder in publicly-traded company. Franjkovic:Hoffmann-La Roche Ltd.: Current Employment, Current equity holder in publicly-traded company. Lechner:Roche Diagnostics GmbH: Current Employment, Current equity holder in publicly-traded company. Kornacker:Hoffmann-La Roche Ltd.: Current Employment, Current equity holder in publicly-traded company.

Introduction: Lenalidomide is increasingly used for the treatment of newly diagnosed multiple myeloma. However, most patients experience relapse during treatment or after prolonged exposure to lenalidomide, therefore, there is an emerging unmet need for new, highly efficacious lenalidomide-sparing regimens at relapse. CANDOR is an ongoing phase 3 randomized clinical trial (RCT) that compares the lenalidomide-free KdD regimen with carfilzomib 56mg/m2 twice-weekly with dexamethasone (Kd) in patients with relapsed and/or refractory multiple myeloma (RRMM). Based on the primary analysis, KdD was associated with a 37% reduction in the risk of progression or death compared to Kd (HR: 0.63, p=0.001).(Dimopoulos et al. 2020 Lancet) Besides the trial-based comparator Kd, DVd is considered as an additional relevant comparator. DVd is the most similar lenalidomide-free triplet regimen comprising a proteasome inhibitor, daratumumab, and dexamethasone. DVd was assessed in the phase 3 CASTOR RCT and demonstrated superior PFS versus 8 cycles (24 weeks) of bortezomib in combination with dexamethasone (Vd) (HR: 0.31, p<0.001).(Weisel et al. 2019 ASH) In the absence of a direct head-to-head trial comparing these treatments and an assessment suggesting that network meta-analysis is not feasible, matching-adjusted indirect comparisons (MAIC) were used (Signorovitch et al. 2010) to assess the efficacy of KdD relative to DVd. MAIC leverages all available data and compares outcomes across balanced populations. Method: Baseline characteristics and PFS data from the CANDOR and CASTOR trials were used in the analyses. Outcomes were compared in three steps. First, after aligning patient selection criteria of both trials, KdD patients in CANDOR were matched to the average characteristics of DVd patients in CASTOR using matching-adjusted indirect treatment comparisons methodology. The matching variables reflected tumor stage, disease burden, and treatment history, and were generally consistent with validated prognostic markers used in stratifying patients into different risk groups. Second, the published Kaplan-Meier PFS curves for DVd were digitized to generate virtual patient-level data that reconstructed the curves. Third, Cox regression models were fitted to the matched CANDOR data and the reconstructed virtual patient-level CASTOR data to estimate the efficacy of KdD versus DVd. The outcome measure was the hazard ratio (HR) for PFS. Outcomes were also compared for the first 24 weeks and for the period beyond 24 weeks to assess the impact of stopping Vd in DVd after 24 weeks on the HRs. Scenario and subgroup analyses were conducted to assess the robustness of results. Results: KdD patients in the CANDOR trial who were proteasome inhibitor-refractory (n=102) were removed from the data so that the KdD population was aligned with that of DVd in the CASTOR trial. Following the matching procedure, the effective sample size for KdD reduced to 82. In matched populations, PFS at 12 months was 73.1% for KdD and 59.9% for DVd. The MAIC results showed that treatment with KdD decreases the risk of progression or death versus DVd, with an overall HR of 0.61 (95% CI: 0.45-0.82). The time-dependent analysis demonstrated similar PFS for the two treatments for the first 24 weeks and a larger benefit for KdD over DVd after 24 weeks. Similar results were obtained in scenario analyses; in bortezomib-exposed patients the overall HR was 0.46 (95% CI: 0.33-0.64). Conclusions: After adjusting for cross-trial differences, KdD was associated with a significant reduction in the risk of progression or death compared with DVd. Although based on an approach in agreement with methods guide, the results are associated with inherent limitations due to the decreased sample size for KdD, and due to known (longer follow-up for DVd, different duration of proteasome inhibition) or unobserved differences in the trials (potential unobserved heterogeneity in patient characteristics). A comparison of overall survival was not considered due to immature data in CANDOR. The results are in line with those of the head-to-head ENDEAVOR trial that directly compared carfilzomib with bortezomib (HR for PFS for Kd vs Vd 0.53; 95% CI: 0.44-0.65) supporting the clinical validity of this study. The present analysis suggests that KdD improves outcomes compared with DVd in patients with RRMM and may provide a rationale for a preferential treatment. Disclosures Weisel: Roche: Consultancy, Honoraria; Abbvie: Consultancy, Honoraria; Sanofi: Consultancy, Honoraria, Research Funding; Janssen: Consultancy, Honoraria, Research Funding; Celgene: Consultancy, Honoraria, Research Funding; Amgen: Consultancy, Honoraria, Research Funding; Karyopharm: Consultancy, Honoraria; GlaxoSmithKline: Honoraria; Adaptive: Consultancy, Honoraria; Bristol-Myers Squibb: Consultancy, Honoraria; Takeda: Consultancy, Honoraria. Nooka:Sanofi: Consultancy, Honoraria; Spectrum Pharmaceuticals: Consultancy; Oncopeptides: Consultancy, Honoraria; Karyopharm Therapeutics, Adaptive technologies: Consultancy, Honoraria, Research Funding; GlaxoSmithKline: Consultancy, Honoraria, Other: Personal Fees: Travel/accomodations/expenses, Research Funding; Takeda: Consultancy, Honoraria, Research Funding; Celgene: Consultancy, Honoraria, Research Funding; Adaptive Technologies: Consultancy, Honoraria; Janssen: Consultancy, Honoraria, Research Funding; Amgen: Consultancy, Honoraria, Research Funding; Bristol-Myers Squibb: Consultancy, Honoraria, Research Funding. Terpos:Janssen: Honoraria, Research Funding; Genesis pharma SA: Honoraria, Other: travel expenses , Research Funding; Amgen: Honoraria, Research Funding; Takeda: Honoraria, Other: travel expenses , Research Funding; Celgene: Honoraria; Sanofi: Honoraria; BMS: Honoraria. Spencer:AbbVie, Amgen, Celgene, Haemalogix, Janssen, Sanofi, SecuraBio, Specialised Therapeutics Australia, Servier and Takeda: Honoraria; AbbVie, Celgene, Haemalogix, Janssen, Sanofi, SecuraBio, Specialised Therapeutics Australia, Servier and Takeda: Consultancy; Amgen, Celgene, Haemalogix, Janssen, Servier and Takeda: Research Funding; Celgene, Janssen and Takeda: Speakers Bureau. Goldschmidt:Merck Sharp and Dohme (MSD): Research Funding; Takeda: Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Grants and/or provision of Investigational Medicinal Product:, Research Funding; Johns Hopkins University: Other: Grants and/or provision of Investigational Medicinal Product; Sanofi: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other, Research Funding; Dietmar-Hopp-Foundation: Other: Grants and/or provision of Investigational Medicinal Product:; Molecular Partners: Research Funding; Novartis: Honoraria, Research Funding; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Grants and/or provision of Investigational Medicinal Product, Research Funding; Adaptive Biotechnology: Membership on an entity's Board of Directors or advisory committees; Chugai: Honoraria, Other: Grants and/or provision of Investigational Medicinal Product:, Research Funding; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Grants and/or provision of Investigational Medicinal Product:, Research Funding; BMS: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Grants and/or provision of Investigational Medicinal Product:, Research Funding; University Hospital Heidelberg, Internal Medicine V and National Center for Tumor Diseases (NCT), Heidelberg, Germany: Current Employment; GlaxoSmithKline (GSK): Honoraria; Incyte: Research Funding; Mundipharma GmbH: Research Funding. Majer:Amgen (Europe) GmbH: Current Employment, Current equity holder in publicly-traded company. DeCosta:Amgen Ltd: Current Employment, Current equity holder in publicly-traded company. Medhekar:Amgen Inc.: Current Employment, Current equity holder in publicly-traded company. Yusuf:Amgen Inc.: Current Employment, Current equity holder in publicly-traded company. Kumar:Karyopharm: Consultancy; Takeda: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Novartis: Research Funding; Sanofi: Research Funding; Carsgen: Other, Research Funding; AbbVie: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Dr. Reddy's Laboratories: Honoraria; Genentech/Roche: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; BMS: Consultancy, Research Funding; Kite Pharma: Consultancy, Research Funding; Adaptive Biotechnologies: Consultancy; Janssen Oncology: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Merck: Consultancy, Research Funding; Oncopeptides: Consultancy, Other: Independent Review Committee; IRC member; Cellectar: Other; Celgene/BMS: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Genecentrix: Consultancy; MedImmune: Research Funding; Amgen: Consultancy, Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments, Research Funding; Tenebio: Other, Research Funding.

Abstract Background: Persons of African ancestry (AA) experience a 1.5-2-fold risk of multiple myeloma (MM) compared to persons of European ancestry (EA). We assembled a set of MM patients with self-reported AA in order to evaluate the contribution of genetics to etiology in this high-risk group. Methods: Here we present the results of a meta-analysis of two GWAS in 1,813 cases and 8,871 controls of AA. We also conducted an admixture mapping scan to identify risk alleles associated with local ancestry, fine-mapped the 23 known susceptibility loci to find markers that could better capture MM risk in individuals of AA, and constructed a polygenic risk score (PRS) to assess the aggregated effect of known MM risk alleles. Finally, we conducted an eQTL analysis measuring gene expression in those genes harboring a risk variant in malignant plasma cells from 292 of the patients from a single site. Results: In GWAS analysis, we identified two suggestive novel loci located at 9p24.3 and 9p13.1 at P<1 × 10-6, but no genome-wide significant association was noted. In admixture mapping, we observed a genome-wide significant inverse association between local AA at 2p24.1-23.1 and MM risk in AA individuals. 20 of the 23 known EA risk variants showed directional consistency and 9 replicated at P<0.05 in AA individuals. In eight regions, we identified markers that better capture MM risk in persons of AA. AA individuals with a PRS in the top 10% had a 1.82-fold (95%CI: 1.56, 2.11) increased MM risk compared to those with average risk (25-75%). The strongest functional association was between the risk allele for variant rs56219066 at 5q15 and lower ELL2 expression (P= 5.1 × 10–12). Conclusion: Our study shows that common genetic variation contributes to MM risk individuals of AA. This abstract is also being presented as Poster C040. Citation Format: Zhaohui Du, Niels Weinhold, Gregory Chi Song, Kristen A. Rand, David J. Van Den Berg, Amie E. Hwang, Xin Sheng, Victor Hom, Sikander Ailawadhi, Ajay K. Nooka, Seema Singhal, Karen Pawlish, Edward Peters, Cathryn Bock, Ann Mohrbacher, Alexander Stram, Sonja I. Berndt, William J. Blot, Graham Casey, Victoria L. Stevens, Rick Kittles, Phyllis J. Goodman, W. Ryan Diver, Anselm Hennis, Barbara Nemesure, Eric A. Klein, Benjamin A. Rybicki, Janet L. Stanford, John S. Witte, Lisa Signorello, Esther M. John, Leslie Bernstein, Antoinette Stroup, Owen W. Stephens, Maurizio Zangari, Frits Van Rhee, Andrew Olshan, Wei Zheng, Jennifer J. Hu, Regina Ziegler, Sarah J. Nyante, Sue Ann Ingles, Michael Press, John David Carpten, Stephen Chanock, Jayesh Mehta, Graham A Colditz, Jeffrey Wolf, Thomas G. Martin, Michael Tomasson, Mark A. Fiala, Howard Terebelo, Nalini Janakiraman, Laurence Kolonel, Kenneth C. Anderson, Loic Le Marchand, Daniel Auclair, Brian C.-H. Chiu, Elad Ziv, Daniel Stram, Ravi Vij, Leon Bernal-Mizrachi, Gareth J. Morgan, Jeffrey A. Zonder, Carol Ann Huff, Sagar Lonial, Robert Z. Orlowski, David V. Conti, Christopher A. Haiman, Wendy Cozen. A meta-analysis of genome-wide association study and eQTL analysis of multiple myeloma among African Americans [abstract]. In: Proceedings of the Twelfth AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2019 Sep 20-23; San Francisco, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(6 Suppl_2):Abstract nr PR05.

Outcomes in multiple myeloma (MM) have improved dramatically in the last two decades with the advent of novel therapies including immunomodulatory agents (IMiDs), proteasome inhibitors and monoclonal antibodies. In recent years, immunotherapy for the treatment of MM has advanced rapidly, with the approval of new targeted agents and monoclonal antibodies directed against myeloma cell-surface antigens, as well as maturing data from late stage trials of chimeric antigen receptor (CAR) T cells. Therapies that engage the immune system to treat myeloma offer significant clinical benefits with durable responses and manageable toxicity profiles, however, the appropriate use of these immunotherapy agents can present unique challenges for practicing physicians. Therefore, the Society for Immunotherapy of Cancer convened an expert panel, which met to consider the current role of approved and emerging immunotherapy agents in MM and provide guidance to the oncology community by developing consensus recommendations. As immunotherapy evolves as a therapeutic option for the treatment of MM, these guidelines will be updated.

Purpose: Multiple myeloma (MM) treatment has changed tremendously, with significant improvement in patient out-comes. One group with a suboptimal benefit is patients with high-risk cytogenetics, as tested by conventional karyotyping or fluorescence in situ hybridization (FISH). Methodology for these tests has been published, but not necessarily standardized. Methods: We address variability in the testing and reporting methodology for MM cytogenetics in the United States using the ongoing African American Multiple Myeloma Study (AAMMS). We evaluated clinical and cytogenetic data from 1,221 patients (1,161 with conventional karyotyping and 976 with FISH) tested between 1998 and 2016 across 58 laboratories nationwide. Results: Interlab and intralab variability was noted for the number of cells analyzed for karyotyping, with a significantly higher number of cells analyzed in patients in whom cytogenetics were normal (P 5.0025). For FISH testing, CD138-positive cell enrichment was used in 29.7% of patients and no enrichment in 50% of patients, whereas the remainder had unknown status. A significantly smaller number of cells was analyzed for patients in which CD138 cell enrichment was used compared with those without such enrichment (median, 50 v 200; P, .0001). A median of 7 loci probes (range, 1-16) were used for FISH testing across all laboratories, with variability in the loci probed even within a given laboratory. Chromosome 13–related abnormalities were the most frequently tested abnormality (n5956; 97.9%), and t(14;16) was the least frequently tested abnormality (n 5 119; 12.2%). Conclusions: We report significant variability in cytogenetic testing across the United States for MM, potentially leading to variability in risk stratification, with possible clinical implications and personalized treatment approaches.