Citations

Introduction: Iberdomide (IBER; CC-220) is a potent, novel cereblon (CRBN) E3 ligase modulator (CELMoD) agent under investigation in a phase 1/2 dose-escalation study for relapsed/refractory multiple myeloma (MM) (CC-220-MM-001; NCT02773030). IBER modulates CRBN to induce ubiquitination and proteasome-dependent degradation of Ikaros/Aiolos, resulting in antimyeloma and immunomodulatory activity. Compared with immunomodulatory drugs (IMiDs); IBER binds to CRBN with 20-fold higher affinity and is more efficient at degrading Ikaros/Aiolos. Additionally, IBER can overcome IMiD drug resistance. Here, we compare the preclinical activity of IBER versus IMiD drugs + proteasome inhibitors (PIs), and assess the pharmacodynamic (PD) activity of IBER in patients treated with IBER + dexamethasone (DEX), IBER + DEX + bortezomib (BORT), and IBER + DEX + carfilzomib (CFZ). Methods: MM cell lines and peripheral blood mononuclear cells (PBMCs) from healthy volunteers were analyzed. Cell lines treated with PIs (BORT and CFZ) were pulsed with drug for 1 h, and then treated with clinically relevant concentrations of lenalidomide (LEN; 1 μM), pomalidomide (POM; 300 nM), or IBER (20 nM). Biomarker data for PD analyses were obtained from blood samples of patients enrolled in the IBER + DEX, IBER + DEX + BORT, and IBER + DEX + CFZ cohorts of the CC-220-MM-001 study. Degradation of Ikaros/Aiolos in peripheral blood was analyzed on Cycle (C) 1 Day (D) 1, pre-dose, and post IBER/IBER + PI dose by flow cytometry. Immune profiling was evaluated by flow cytometry from peripheral blood at C1D1, C2D15, C4D1, and C4D15. Results : Proteasome inhibition in cell lines after 1 h pulse of PI was maintained after washout. However, substrate degradation by IBER was affected only minimally by combination with PIs, and was more potent than by LEN or POM. These results correlate with synergistic antiproliferative activity and more potent tumoricidal activity in cell lines treated with IBER + PI than IMiD + PI combinations. Furthermore, ex vivo treatment of PBMCs with IBER + PIs minimally affected cytokine induction by IBER. Analysis of patient samples from the CC-220-MM-001 study confirmed preclinical observations showing minimal inhibition of IBER PD with the addition of PIs to the treatment regimen. In patient T cells, Ikaros and Aiolos protein levels decreased by > 50% and > 70%, respectively, with IBER + DEX, and by > 30% and > 45% (at lower IBER doses) with IBER + DEX + BORT or IBER + DEX + CFX. In all cohorts, the nadir of substrate expression was determined to be 6 h. After repeated dosing (mid-C1) patients treated with IBER + PIs showed > 70% decreases in both Ikaros and Aiolos expression. Furthermore, immune profiling of patients showed that the addition of PIs to the IBER treatment regimen did not inhibit immune-stimulatory activity of IBER, including induction of NK and T cell proliferation. Conclusions: Preclinically, IBER induced substrate degradation in the presence of PIs, and treatment with IBER + PIs resulted in substantially increased tumoricidal activity. Deeper substrate degradation and increased apoptosis were also observed when PIs were combined with IBER versus IMiD drugs. Clinically, IBER led to rapid decreases in substrate levels, even in the presence of PIs, and levels were reduced further with repeated dosing, suggesting that concurrent administration of PIs minimally affects proteasomal degradation of substrates mediated by IBER. Furthermore, increases in NK and T cell proliferation in IBER-treated patients were consistent whether or not they also received a PI, further confirming that IBER has immune-stimulatory activity in combination with PIs. These data support continued clinical development of IBER in combination with PIs for the treatment of MM. Disclosures Amatangelo: Bristol Myers Squibb: Current Employment, Current equity holder in publicly-traded company. Bjorklund:Bristol Myers Squibb: Current Employment, Current equity holder in publicly-traded company. Kang:Bristol Myers Squibb: Current Employment. Mukhopadhyay:Bristol Myers Squibb: Other: Contract scientist, Research & Early Development. Jiménez Nuñez:CITRE, a Bristol-Myers Squibb Company: Current Employment. Wong:Bristol Myers Squibb: Current Employment, Current equity holder in publicly-traded company. Pierceall:Bristol Myers Squibb: Current Employment, Current equity holder in publicly-traded company. Lonial:Merck: Consultancy, Honoraria, Other: Personal fees; Genentech: Consultancy; Karyopharm: Consultancy; Sanofi: Consultancy; BMS: Consultancy, Honoraria, Other: Personal fees, Research Funding; Janssen: Consultancy, Honoraria, Other: Personal fees, Research Funding; Novartis: Consultancy, Honoraria, Other: Personal fees; Takeda: Consultancy, Other: Personal fees, Research Funding; Amgen: Consultancy, Honoraria, Other: Personal fees; GSK: Consultancy, Honoraria, Other: Personal fees; Abbvie: Consultancy; Millennium: Consultancy, Honoraria; JUNO Therapeutics: Consultancy; TG Therapeutics: Membership on an entity's Board of Directors or advisory committees; Onyx: Honoraria. van de Donk:Bristol Myers Squibb: Membership on an entity's Board of Directors or advisory committees, Research Funding; Amgen: Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Membership on an entity's Board of Directors or advisory committees; Bayer: Membership on an entity's Board of Directors or advisory committees; Takeda: Membership on an entity's Board of Directors or advisory committees. Popat:GSK: Consultancy, Honoraria, Other: TRAVEL, ACCOMMODATIONS, EXPENSES (paid by any for-profit health care company); AbbVie: Consultancy, Honoraria; Janssen: Consultancy, Honoraria, Other: TRAVEL, ACCOMMODATIONS, EXPENSES (paid by any for-profit health care company); Takeda: Consultancy, Honoraria, Other: Travel support, Research Funding; Bristol Myers Squibb: Consultancy, Honoraria; Celgene: Consultancy, Honoraria. Jagannath:BMS, Janssen, Karyopharm, Legend Biotech, Sanofi, Takeda: Consultancy. Zonder:Caelum: Consultancy; Intellia: Membership on an entity's Board of Directors or advisory committees, Other: Personal fees; Alnylam: Membership on an entity's Board of Directors or advisory committees, Other: Personal fees; Oncopeptide: Membership on an entity's Board of Directors or advisory committees, Other: Personal fees; Celgene: Research Funding; Janssen: Consultancy, Other: Personal fees; Prothena: Consultancy; Amgen: Membership on an entity's Board of Directors or advisory committees, Other: Personal fees; BMS: Consultancy, Research Funding; Takeda: Membership on an entity's Board of Directors or advisory committees, Other: Personal fees. Minnema:Celgene: Other: travel support, Research Funding; Servier: Consultancy; Amgen: Consultancy; Kite, a Gilead Company: Speakers Bureau. Oriol:GlaxoSmithKline: Membership on an entity's Board of Directors or advisory committees; Sanofi: Membership on an entity's Board of Directors or advisory committees; Janssen: Consultancy; Amgen: Consultancy, Speakers Bureau; Bristol-Myers Squibb: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Larsen:Janssen Oncology: Honoraria, Membership on an entity's Board of Directors or advisory committees; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees. Badros:Amgen: Consultancy; University of Maryland: Current Employment. Rodriguez-Otero:Sanofi: Consultancy, Honoraria; GlaxoSmithKline: Consultancy, Current Employment, Current equity holder in publicly-traded company, Honoraria; Amgen: Consultancy, Honoraria; Medscape: Membership on an entity's Board of Directors or advisory committees; Celgene/Bristol-Myers Squibb: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, 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); Oncopeptides: Consultancy, Honoraria; Kite: Consultancy, Honoraria; Abbvie: Consultancy, Honoraria. Sonneveld:Bristol-Myers Squibb: Consultancy, Honoraria, Research Funding; Sanofi: Consultancy; Amgen: Consultancy, Honoraria, Research Funding; Janssen: Consultancy, Honoraria, Research Funding; Takeda: Consultancy, Honoraria, Research Funding; Skyline Dx: Honoraria, Research Funding; Karyopharm: Consultancy, Honoraria, Research Funding. Nguyen:Bristol Myers Squibb: Current Employment, Current equity holder in publicly-traded company. Hong:Bristol Myers Squibb: Current Employment. Sorrell:Children's Oncology Group: Other: Non-member; Previous Study Chair AAML08B1; Bristol Myers Squibb: Current Employment. Thakurta:Oxford University: Other: visiting professor; Bristol Myers Squibb: Current Employment, Current equity holder in publicly-traded company.

Introduction: Cytokine release syndrome (CRS) is an expected and potentially life-threatening toxicity associated with CAR T cell therapy. Idecabtagene vicleucel (ide-cel, bb2121), a BCMA-directed CAR T cell therapy, demonstrated promising efficacy in triple-class exposed and highly refractory patients with multiple myeloma in the pivotal phase 2 KarMMa study, with an overall response rate (ORR), complete response (CR) rate, median duration of response, and median progression-free survival of 73%, 33%, 10.7 months, and 8.8 months, respectively, across the target dose levels of 150−450 × 106 CAR+ T cells, and 82%, 39%, 11.3 months, and 12.1 months at the highest target dose of 450 × 106 CAR+ T cells (Munshi et al. J Clin Oncol. 2020;38[suppl, abstr]:8503). Identifying the patterns of CRS evolution, associations with baseline patient and disease characteristics, and the impact of interventions are key to understanding this adverse event in the context of ide-cel. In addition, a better understanding of lower-grade CRS, including maximum grade 1 events, is important as these are easier to manage and represent a lower burden on the healthcare system. We report results of an examination of CRS events in the KarMMa study. Methods: Patients in the KarMMa trial (NCT03361748) were required to have ≥3 prior regimens (including an immunomodulatory agent, a proteasome inhibitor, and an anti-CD38 antibody) and were refractory to their last regimen per International Myeloma Working Group criteria. Patients received ide-cel target doses of 150, 300, or 450 × 106 CAR+ T cells 2 days after lymphodepletion with cyclophosphamide 300 mg/m2 plus fludarabine 30 mg/m2 daily for 3 days. The primary endpoint was ORR. The key secondary endpoint was CR rate; other secondary endpoints included safety. CRS was graded according to criteria in Lee et al. (Blood. 2014;124:188). Patient characteristics and CRS management were examined by CRS grade to identify variables associated with higher-grade CRS. Management of CRS included tocilizumab 8 mg/kg with the addition of corticosteroids and other agents as needed. Results: Of 128 patients treated with ide-cel, 107 (84%) experienced CRS; 61 patients (48%) had maximum grade 1 and 46 (36%) had maximum grade ≥2 CRS (grade 2, n=39; grade 3, n=5; grade 4, n=1; and grade 5, n=1). Baseline characteristics were generally balanced among patients with maximum grade 1 and grade ≥2 (Table). Thirty patients (65%) with maximum grade ≥2 CRS progressed from initial grade 1 events, whereas 16 (35%) had initial grade ≥2. Median time to onset of CRS was the same (1 day) regardless of initial or maximum grade (Table). Median duration was 5.0 days in patients with maximum grade 1, 5.5 days in patients with maximum grade 2, and 11.0 days in patients with maximum grade ≥3 CRS. Median duration was shorter in patients with maximum grade 1 CRS than in those with initial grade 1 events that progressed to grade ≥2 (5.0 days vs 7.0 days). Most patients (83%) with maximum grade ≥2 CRS received at least 1 dose of tocilizumab and approximately one-third (35%) received corticosteroids, compared with 48% and 5%, respectively, of patients with maximum grade 1 CRS. A higher percentage of patients with initial grade ≥2 vs initial grade 1 CRS received multiple doses of tocilizumab (50% vs 37%) or at least 1 dose of corticosteroids (50% vs 27%). Conclusions: Almost half of the patients treated with ide-cel experienced maximum grade 1 CRS. Baseline disease and patient characteristics were similar among patients experiencing grade 1 and higher-grade CRS events. CRS was effectively managed with tocilizumab and corticosteroids, and more frequent use of these interventions in patients with grade ≥2 CRS was not associated with prolonged CRS events. The time to onset of CRS was predictable and equivalent in patients with maximum grade 1 and higher-grade CRS events. Duration of CRS was similar in patients with maximum grade 1 and 2 but was longer in patients with maximum grade ≥3 CRS. These data demonstrate the feasible management of CRS and thus confirm the tolerability of ide-cel in patients with relapsed and refractory multiple myeloma. Table 1 Disclosures Kansagra: Karyopharm: Honoraria; Pharmacyclics: Honoraria; Alnylam: Honoraria; BMS: Honoraria; GSK: Honoraria; Janssen: Honoraria; Takeda: Honoraria; Sanofi: Honoraria. Lin:Novartis: Consultancy; Sorrento: Consultancy, Membership on an entity's Board of Directors or advisory committees; Gamida Cells: Consultancy; Janssen: Consultancy, Research Funding; Kite, a Gilead Company: Consultancy, Research Funding; Vineti: Consultancy; Takeda: Research Funding; Celgene: Consultancy, Research Funding; Bluebird Bio: Consultancy, Research Funding; Juno: Consultancy; Legend BioTech: Consultancy; Merck: Research Funding. Berdeja:BMS: Consultancy, Research Funding; Cellularity: Research Funding; Lilly: Research Funding; Amgen: Consultancy, Research Funding; Abbvie: Research Funding; Poseida: Research Funding; Celgene: Consultancy, Research Funding; Janssen: Consultancy, Research Funding; Bioclinica: Consultancy; Bluebird: Research Funding; Prothena: Consultancy; Legend: Consultancy; Kesios: Research Funding; Kite Pharma: Consultancy; Karyopharm: Consultancy; Constellation: Research Funding; Novartis: Research Funding; Teva: Research Funding; Servier: Consultancy; Takeda: Consultancy, Research Funding; CRISPR Therapeutics: Consultancy, Research Funding; Glenmark: Research Funding; EMD Sorono: Research Funding; Vivolux: Research Funding; Genentech, Inc.: Research Funding; CURIS: Research Funding; Acetylon: Research Funding. Shah:GSK, Amgen, Indapta Therapeutics, Sanofi, BMS, CareDx, Kite, Karyopharm: Consultancy; BMS, Janssen, Bluebird Bio, Sutro Biopharma, Teneobio, Poseida, Nektar: Research Funding. Oriol:Celgene: Consultancy, Speakers Bureau; Amgen: Consultancy, Speakers Bureau; Janssen: Consultancy. Yakoub-Agha:Celgene: Honoraria; Jazz Pharmaceuticals: Honoraria; Novartis: Honoraria; Gilead/Kite: Honoraria, Other: travel support; Janssen: Honoraria. Einsele:Amgen: Consultancy, Honoraria, Research Funding, Speakers Bureau; Bristol-Myers Squibb: Consultancy, Honoraria, Research Funding, Speakers Bureau; Novartis: Honoraria, Speakers Bureau; Takeda: Consultancy, Honoraria, Speakers Bureau; Sanofi: Consultancy, Honoraria, Research Funding, Speakers Bureau; Celgene: Consultancy, Honoraria, Research Funding, Speakers Bureau; GlaxoSmithKline: Honoraria, Research Funding, Speakers Bureau; Janssen: Consultancy, Honoraria, Research Funding, Speakers Bureau. Rambaldi:BMS/Celgene: Honoraria, Other: TRAVEL, ACCOMMODATIONS, EXPENSES (paid by any for-profit health care company); University of Milan: Current Employment; Roche: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Support of parent study and funding of editorial support. Received travel support., Research Funding; Omeros: Honoraria, Other: TRAVEL, ACCOMMODATIONS, EXPENSES (paid by any for-profit health care company); Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: TRAVEL, ACCOMMODATIONS, EXPENSES (paid by any for-profit health care company); Pfizer: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: TRAVEL, ACCOMMODATIONS, EXPENSES (paid by any for-profit health care company). Advisory board and speaker fees from Pfizer.; Amgen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: TRAVEL, ACCOMMODATIONS, EXPENSES (paid by any for-profit health care company). Research grant from Amgen Inc.; Sanofi: Honoraria, Other: TRAVEL, ACCOMMODATIONS, EXPENSES (paid by any for-profit health care company); Astellas: Honoraria, Other: TRAVEL, ACCOMMODATIONS, EXPENSES (paid by any for-profit health care company); Gilead: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel support from Gilead.. Truppel-Hartmann:bluebird bio, Inc: Current Employment, Other: TRAVEL, ACCOMMODATIONS, EXPENSES (paid by any for-profit health care company); F. Hoffmann La Roche: Current equity holder in publicly-traded company, Ended employment in the past 24 months. Rowe:Bristol-Myers Squibb: Current Employment. Wang:Bristol Myers Squibb: Current Employment, Current equity holder in publicly-traded company. Agarwal:Bristol-Myers Squibb: Current Employment, Current equity holder in publicly-traded company. Campbell:BMS: Current Employment, Current equity holder in publicly-traded company. Lonial:Takeda: Consultancy, Other: Personal fees, Research Funding; Amgen: Consultancy, Honoraria, Other: Personal fees; Novartis: Consultancy, Honoraria, Other: Personal fees; Millennium: Consultancy, Honoraria; Janssen: Consultancy, Honoraria, Other: Personal fees, Research Funding; BMS: Consultancy, Honoraria, Other: Personal fees, Research Funding; Onyx: Honoraria; Genentech: Consultancy; Karyopharm: Consultancy; Sanofi: Consultancy; TG Therapeutics: Membership on an entity's Board of Directors or advisory committees; Merck: Consultancy, Honoraria, Other: Personal fees; JUNO Therapeutics: Consultancy; GSK: Consultancy, Honoraria, Other: Personal fees; Abbvie: Consultancy.

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.

LBA3 Background: Bortezomib (btz) combined with lenalidomide (len) and dexamethasone (dex) (VRd) is a standard initial therapy for NDMM. Carfilzomib (cfz), a next-generation proteasome inhibitor, in combination with len-dex (KRd) has shown higher efficacy in phase II trials. This randomized phase III trial was designed to examine if KRd improves progression free survival (PFS) compared to VRd in NDMM (current results), and whether indefinite maintenance with len improves OS compared with two-year maintenance (to be analyzed once data matures). Methods: Patients (Pts) with NDMM, were randomized to receive VRd or KRd in a 1:1 fashion for 36 weeks followed by a second randomization (1:1) to indefinite versus two years of len maintenance. Pts without del17p, t (14;16), t(14;20), plasma cell leukemia or high-risk GEP70 profile, were enrolled. VRd arm included btz 1.3 mg/m2 on days(d) 1, 4, 8, and 11 (d 1, 8 for cycles 9-12), len 25 mg d 1-14, and dex 40 mg d 1, 2, 4, 5, 8, 9, 11, 12 of a 3-week (wk) cycle for 12 cycles, while pts in the KRd arm received cfz 36 mg/m2 d 1, 2, 8, 9, 15, 16 with len 25 mg daily on d 1-21 and dex 40 mg wkly, in 4 wk cycles for 9 cycles. Maintenance included len 15mg d 1-21 every 4 wks. The study was designed to detect a hazard ratio (HR)=0.75 with 80% power at 1-sided 2.5% alpha and 399 PFS events (progression or death regardless of intervening therapy). Results: The study accrued 1087 pts (VRd=542, KRd=545). The median age was 65y. Treatment, efficacy, and toxicity data are in the table. At the second of 3 planned interim analyses, with PFS HR=1.04 (95% CI, 0.8 to 1.3, p=0.74), futility was met. Median PFS was VRd=34.4m and KRd=34.6m; no differences were seen based on age (<65 or ≥65), presence or absence of t(4;14) or ISS stage. The three-year OS (95% CI) was similar: VRd 84% (80 to 88) and KRd 86% (82 to 89). Conclusions: In this randomized phase 3 trial, KRd did not improve PFS compared with VRd in NDMM. A significantly higher rate of cardio-pulmonary and renal toxicity was observed with KRd, while neuropathy rates were higher with VRd. VRd remains the standard triplet induction regimen in standard and intermediate risk NDMM, and a suitable backbone for 4 drug combinations. Clinical trial information: NCT01863550 . [Table: see text]

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.

8503 Background: Outcomes are poor in triple-class exposed RRMM patients (pts) who progress on immunomodulatory agents (IMiDs), proteasome inhibitors (PIs), and CD38 antibodies (mAbs). Ide-cel, a BCMA targeted CAR T cell therapy, showed promising tolerability and efficacy in RRMM pts in the phase I CRB-401 study ( NEJM2019;380:1726). We present primary efficacy and safety data from the pivotal phase II KarMMa trial of ide-cel in RRMM (NCT03361748). Methods: Enrolled pts had ≥3 prior regimens (including IMiD, PI, and CD38 mAb) and were refractory to their last regimen per IMWG criteria. After lymphodepletion (cyclophosphamide 300 mg/m2+ fludarabine 30 mg/m2 x 3), pts received 150─450 × 106 CAR+ T cells (target dose range). Endpoints included overall response rate (ORR; primary), complete response (CR) rate, duration of response (DoR), and PFS. Results: Of 140 pts enrolled, 128 received ide-cel. Median age was 61 y; median no. of prior regimens was 6; 84% were triple- and 26% were penta-refractory. Most pts (88%) had bridging therapy. At data cutoff (16 Oct 2019), median follow up was 11.3 mo. ORR was 73% and median PFS was 8.6 mo; both increased with higher dose (Table). All subgroups had an ORR ≥50%, including older and high-risk pts. Most common any-grade (Gr) toxicities were cytopenias (97%) and cytokine release syndrome (CRS; 84%). CRS was mainly Gr 1/2; 5 pts (5%) had Gr 3, 1 had Gr 4, and 1 had Gr 5 (at 300 × 106). Neurotoxicity developed in 23 pts (18%); 4 (3%) Gr 3 and 0 Gr ≥4. Median peak CAR+ T cell expansion occurred at 11 d. Expansion was higher in responders and parameters (AUC0−28d, Cmax) increased with higher dose, with exposure overlap across doses. Persistence was durable, with CAR+ T cells detected in 29/49 (59%) and 4/11 pts (36%) at 6 and 12 mo. Conclusions: Ide-cel demonstrated deep, durable responses in heavily pretreated RRMM pts. Efficacy and safety reflected prior reports and support a favorable ide-cel clinical benefit-risk profile across the target dose range. Clinical trial information: NCT03361748 . [Table: see text]

Abstract Background: Outcome of patients with Multiple Myeloma (MM) is influenced by a variety of baseline prognostic factors, most importantly presence of chromosomal abnormalities. Nevertheless, these biologically determined risk-factors do not account for a significant subset of patients whose outcome varies greatly from what one expects based on the underlying prognostic characteristics. We have previously demonstrated that outcome in myeloma is dictated not only by baseline risk-factors but also response to therapy (R2, risk and response dependent outcome). We studied response duration following initial therapy as a prognostic factor for long-term overall survival in myeloma in three ECOG clinical trials that enrolled patients with newly diagnosed myeloma. Methods: Data from three studies with long-term, mature follow up were analyzed: E9486, E5A93, and E1A00. The regimens used in these studies included Thalidomide/Dex, Dex, VBMCP, VBMCP + alpha-IFN, and VBMCP + Cyclophosphamide. Among progressed/relapsed patients, the association between time to progression and overall survival since relapse was explored using Cox proportional hazards model, in which time to progression was analyzed as a continuous variable. In addition, the association between response duration and overall survival since relapse was explored similarly among relapsed responders. Treatment effect and calendar time of diagnosis have been adjusted in the model. Also, to determine the best cut off point associated with the best differentiation of patients with short OS after relapse, an outcome-oriented method using log likelihood value was applied. Results: Among the 1136 patients enrolled in the three studies, 625 patients who have documented disease relapse have been included in the current study. Of these, 471 patients had responded to the treatment before relapse. Only 33 patients are alive as of Dec., 2007. For all 625 patients, the time to progression (continuous variable) was significantly associated with overall survival from the time of relapse/progression (P&lt;0.0001), with hazard ratio of 0.77 (95%CI: 0.72~0.81) at time to progression increasing by 1 year (i.e., the later the progression/relapse, the lower the risk). The best cutoff point of the time to progression is 3 yrs (the 75th percentile). The hazard ratio of patients progressing within 3 yrs since randomization vs. after 3 yrs is 2.4 (95% CI: 1.9 ~ 2.9) and P-value&lt;0.0001. The median OS from relapse was 0.96 years for the former vs. 2.43 years in the latter group (Figure). Among the 471 relapsed responders, the response duration (continuous variable) was also significantly associated with overall survival since relapse (P&lt;0.0001), with hazard ratio of 0.76 (95%CI: 0.70~0.81) at response duration increasing by 1 year (i.e., the longer the response duration, the lower the risk). The effects seen with each regimen are detailed in the table. The best cutoff point of the response duration is 2 yrs (median). The hazard ratio of patients with response duration less than or equal to 2 yrs vs. more than 2 yrs is 2.1 (95% CI: 1.7 ~ 2.6) and P-value&lt;0.0001. Conclusions: Among patients treated with alkylator based therapy, the duration of response from the initial therapy is an important predictor of the subsequent outcome among patients with myeloma. Given the heterogeneity of the disease and imprecise predictive ability of the known baseline prognostic factors, the duration of response to initial therapy should be taken into account, to deliver risk and response-adapted therapy. The prognostic value of this feature across different clinical trials, points towards the role of underlying disease biology, both disease aggressiveness and ability to rapidly develop resistance to therapies as two important determinants of outcome. Table 1: Hazard ratio of overall survival since relapse for patients progressed within 3 yrs since randomization vs. after 3 yrs in each treatment arm Treatment arm Treatment arm HR (95% CI) P-value TTP&lt;=3yrs vs. &gt;3 yrs Thal/Dex N/A N/A Dex 0.4 (0.05, 3.9) 0.46 VBMCP(E5A93+ E9486) 1.9 (1.4, 2.7) 0.0001 VBMCP+alpha2IFN (E5A93+ E9486) 3.0 (2.2, 4.1) &lt;0.0001 VBMCP+CYCLOPHOSPHAMIDE 2.3 (1.5, 3.6) 0.0001 Response duration &lt;=2 yrs vs. &gt;2 yrs Thal/Dex 0.2 (0.003, 18.5) 0.51 Dex 0.15 (0.02, 0.98) 0.048 VBMCP(E5A93+ E9486) 1.7 (1.2, 2.3) 0.0009 VBMCP+alpha2IFN (E5A93+ E9486) 3.0(2.1, 4.3) &lt;0.0001 VBMCP+CYCLOPHOSPHAMIDE 2.1 (1.4, 3.3) 0.006 Figure 1: Overall survival since relapse between patients progressed within 3 yrs since randomization vs. after 3 yrs. Figure 1:. Overall survival since relapse between patients progressed within 3 yrs since randomization vs. after 3 yrs.

Abstract p90 Ribosomal S6 Kinase 2 (p90RSK2) is a substrate of ERK and plays an active role in anti-apoptosis signaling and cell cycle regulation. Our proteomics studies revealed that p90RSK2 is not only activated but also tyrosine-phosphorylated in hematopoietic cells expressing constitutively activated leukemogenic FGFR3 mutants. FGFR3 is a receptor-tyrosine kinase that responds to fibroblast growth factor (FGF). Recent studies have suggested that FGFR3 may play a significant role in the pathogenesis and disease progression of some hematopoietic malignancies including t(4;14)(p16.3;q32.3) multiple myeloma, which is associated with dysregulation of FGFR3. We found that the MEK1 inhibitor U0126 effectively inhibited RSK2 activation induced by FGFR3, suggesting that FGFR3 activates RSK2 through the MEK/ERK pathway. Interestingly, FGFR3-dependent tyrosine phosphorylation at Y529 was required for phosphorylation and activation of the Ser/Thr kinase RSK2 by ERK. By using a specific phospho-RSK2 (Y529) antibody, we identified FGFR3 as the direct tyrosine kinase that phosphorylates RSK2 at Y529 in an in vitro kinase assay, which only contains purified recombinant active FGFR3 and RSK2 proteins. Substitution of Y529 in RSK2 attenuates inactive ERK binding to RSK2, which is prior to and required for ERK-dependent phosphorylation and activation of RSK2. In addition, reconstitution of RSK2 phosphorylation at Y529 consequently enhanced inactive ERK binding by a GST pull down, suggesting that phosphorylation at Y529 by FGFR3 facilitates ERK binding to RSK2, which is a sequential event and precedes inactive ERK binding. These observations support a novel two-step model that FGFR3 activates RSK2 by both assisting inactive ERK binding via tyrosine phosphorylation of RSK2 at Y529 and activating the MEK/ERK pathway. Moreover, we observed that RSK2 is specifically phosphorylated at Y529 and activated in FGFR3 expressing various human t(4;14) positive MM cell lines. Targeted down-regulation of RSK2 by siRNA induced significant apoptosis in FGFR3-expressing human myeloma cell lines including OPM1 and KMS11. In addition, a specific RSK inhibitor fmk induced significant apoptosis in t(4;14) positive human myeloma cells including KMS11, OPM1, LP1 and KMS18, but not in control t(4;14) negative myeloma cell lines including ANBL6 and U266. Similar results were obtained by using another RSK specific and potent inhibitor BI-D1870. Furthermore, we observed that fmk induced significant apoptosis in primary CD138-positive, FGFR3-expressing myeloma cells from a t(4;14) positive multiple myeloma patient, but not in the control CD138-negative cells from the same patient, nor primary samples from a t(4;14)-negative patient as a control. Together, these data not only support our model that RSK2 is a critical signaling effector of FGFR3 in hematopoietic transformation, but also provide “proof of principle” for the therapeutic potential of RSK2 inhibitors such as fmk in treatment of t(4;14) positive, FGFR3-expressing multiple myeloma with minimal non-specific cytotoxicity.