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.
Pharmacokinetic (PK) and Pharmacodynamics (PD) Study of Two Doses of Bortezomib (Btz) in Patients with Relapsed Multiple Myeloma (MM).
Abstract Btz (VELCADE®) is approved for patients (pts) with relapsed MM. This study characterized PK/PD of btz at 2 doses (1.0, 1.3mg/m2) after single- and multiple-dose administration, and evaluated their relationship. 24 pts with relapsed MM and creatinine clearance ≥50mL/min were randomized to btz 1.0 (n=12) or 1.3mg/m2 (n=12) on D 1, 4, 8 and 11 of a 21-D cycle (C). Pts could continue therapy for ≥8 Cs if beneficial. PK/PD samples were drawn at multiple time points on D1 and D11 of C1 and C3 over 48h. Plasma concentrations of btz were similar following administration of 1.0 and 1.3mg/m2; differences in mean plasma Cmax and AUC values were within the degree of intersubject variability (Table). There was a decrease in clearance and an increase in terminal half-life of btz on D11 vs D1 of C1.The volume of distribution of btz suggests extensive peripheral tissue distribution. After single or repeat administration, mean maximum percent inhibition of 20S proteasome activity (vs baseline) in whole blood was 70–84% and 73–83% for the 1.0 and 1.3mg/m2 doses, respectively. The percentage of pts who had >90% inhibition was greater in subsequent doses vs first dose. Reversibility of 20S proteasome inhibition in whole blood was demonstrated. PK/PD modeling revealed an exposure-response relationship, with Emax and EC50 values consistent across study days. These results confirm btz is a potent inhibitor of the 20S proteasome. The efficacy of single-agent btz has been explored and validated in the pivotal phase 2 SUMMIT and phase 3 APEX trials at 1.3mg/m2, and explored in the phase 2 CREST trial at 1.0mg/m2. Complete safety and efficacy data by dose will be presented. Mean±SD PK parameters of btz in plasma 1.0mg/m2 1.3mg/m2 1.0mg/m2 1.3mg/m2 D1/C1 (n=11) D11/C1 (n=12) an=5;bn=11;cn=10;dn=7;en=11;fn=9 Tmax (h) 0.13±0.13 0.11±0.06 0.07±0.03 0.20±0.29 Cmax (ng/mL) 56.7±36.3 112±122 106.2±46.7 88.6±47.6 AUC48h(ng·h/mL) 26.5±12.4 34.6±19.8 82.8±35.9b 82.4±28.6b AUClast (ng·h/mL) 22.6±12.6 31.5±18.6 137±106 122.2±67.4 CL (L/h) 102.1±48.1 111.6±73.6 23.2±17.8 28.0±19.8 Vβ (L) 1976±2498a 2015±2974d 1659±752c 2415±1711 t1/2λz(h) 30.7±44.8a 11.5±12.7d 78.9±50.9c 75.6±49.9 D1/C3 (n=12) D11/C3 (n=12) Tmax (h) 0.12±0.12 0.10±0.05 0.16±0.17 0.10±0.05 Cmax (ng/mL) 66.5±42.6 120.3±70.7 83.9±69.3 114.9±98.3 AUC48h(ng·h/mL) 66.4±24.1 79.4±24.5b 101.6±58.2b 85.2±18.7f AUClast (ng·h/mL) 74.8±35.8 86.0±27.6 227±181 160.7±67.1 CL (L/h) 32.2±19.0 32.1±15.4 15.1±13.9 18.2±9.2 Vβ (L) 1852±951d 2059±1231 3294±2993e 2505±1641 t1/2λz (h) 39.9±14.4d 49.1±34.6 193±169e 108.6±64.8
Indatuximab Ravtansine (BT062) in Combination with Low-Dose Dexamethasone and Lenalidomide or Pomalidomide: Clinical Activity in Patients with Relapsed / Refractory Multiple Myeloma
Abstract Background: BT062 (Biotest AG, Dreieich, Germany) is an antibody-drug conjugate (ADC) comprising a CD138-binding chimerized antibody and the cytotoxic maytansinoid, DM4. It is designed to target and kill CD138-positive cancer cells. CD138 (Syndecan-1) is highly expressed on a number of solid tumors and hematological malignancies and is one of the most reliable markers for multiple myeloma (MM) cells. BT062 was previously evaluated as a monotherapy in patients with heavily pretreated relapsed/refractory MM and found to have an acceptable tolerability profile with preliminary evidence of activity (Heffner et al, Blood. 2012; 120: Abstract 4042). Phase I/IIa testing was initiated with BT062 in combination with lenalidomide (Len) and low-dose dexamethasone (dex). The combination was well tolerated at BT062 doses up to 100 mg/m², defined to be the recommended Phase 2 dose (RPTD), and induced meaningful responses, including in patients previously treated with both Len and bortezomib (Bort) (Kelly et al, Blood. 2014; 124: Abstract 4736). Based on these promising results, further investigation of BT062 in combination with pomalidomide (Pom) and dex was initiated in patients with prior Len and Bort exposure, a patient population known to have a poor outcome. Objectives: To evaluate the safety and activity of BT062 (on days 1, 8, and 15 in a 4-week cycle) used in combination with dex (20-40 mg on days 1, 8, 15, and 22) and Len (25 mg, daily on days 1-21) or Pom (4 mg, daily on days 1-21) in patients with relapsed/refractory MM. Methods: This is a prospective, open label, multicenter Phase I/IIa study. The RPTD of BT062 in combination with Len/dex was defined to be 100 mg/m², and 38 patients were treated with BT062/Len/dex at the BT062 RPTD. An additional 17 patients were treated with BT062/Pom/dex at the BT062 RPTD. Patients aged ≥18 years with relapsed/refractory MM were eligible to participate. Prior treatment with Len, Pom, and/or dexamethasone (any dose) was allowed. To qualify for treatment with BT062/Len/dex at the BT062 RPTD, patients must have received at least one but no more than six prior therapies.To qualify for treatment with BT062/Pom/dex, patients must have received at least two prior therapies, including both Len and Bort, and progressed on or within 60 days of completion of their last therapy, with no limit on number of prior therapies. Patients with clinical response (or no evidence of disease progression) without unacceptable toxicities were eligible to receive additional treatment cycles. Toxicities were assessed by CTCAE v4. Clinical response was assessed by the investigator according to International Myeloma Working Group criteria. Results: Sixty-four patients have received BT062 in combination with dex and Len or Pom in this ongoing study. The combinations have been generally well tolerated, with approximately 90% of adverse events (AEs) reported CTC grade 1 or 2. The most common AEs reported are diarrhea, fatigue, and nausea. Forty-seven patients have received BT062 with Len/Dex (3 at 80 mg/m², 38 at 100 mg/m², 6 at 120 mg/m²), with 8 patients still on treatment. Among these 47 patients, median progression-free survival (PFS) was 16.4 months. Forty-three patients completed at least two treatment cycles and were evaluable for response. Of these patients 33 achieved a partial response (PR) or better, with an overall response rate (ORR) of 77% and a median duration of response (DOR) of 21.0 months. Thirteen of the evaluable BT062/Len/dex-treated patients had prior exposure to both Len and Bort and progressed on or within 60 days of their last therapy. ORR was 54% among these patients, including 1 complete response (CR), 4 very good partial responses (VGPR) and 2 PRs. Seventeen patients were treated with BT062/Pom/dex, all had prior exposure to both Len and Bort and progressed on or within 60 days of their last therapy. ORR was 79%, with 4 VGPR and 7 PR among the 14 patients evaluable for efficacy. Median PFS has not been reached after 7.5 months median follow up, with 7 patients still on treatment. Updated safety and activity data will be presented. Conclusion: BT062 has been found to be well tolerated when used in combination with Len/dex or Pom/dex, with encouraging activity even in patients with Len- and Bort-pretreated disease progressing on or within 60 days of completion of their last therapy. Disclosures Kelly: Novartis: Consultancy, Speakers Bureau; Pharmacyclics: Consultancy, Speakers Bureau; Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees. Siegel:Novartis: Honoraria, Speakers Bureau; Takeda: Honoraria, Speakers Bureau; Amgen: Honoraria, Speakers Bureau; BMS: Honoraria, Speakers Bureau; Celgene: Honoraria, Speakers Bureau; Merck: Honoraria. Somlo:Millennium: Speakers Bureau; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding. Heffner:Millennium: Research Funding; AbbVie: Research Funding; Pharmacyclics: Research Funding; Celgene: Research Funding. Madan:Onyx: Speakers Bureau; Amgen: Speakers Bureau; Takeda: Speakers Bureau; Celgene: Speakers Bureau. Lonial:Celgene: Consultancy; Celgene: Consultancy; BMS: Consultancy; Onyx: Consultancy; Millenium: Consultancy; Novartis: Consultancy; Janssen: Consultancy; Novartis: Consultancy; Onyx: Consultancy; Janssen: Consultancy; Merck: Consultancy; BMS: Consultancy. Barmaki-Rad:Biotest AG: Employment. Rühle:Biotest AG: Employment. Herrmann:Biotest AG: Employment. Wartenberg-Demand:Biotest AG: Employment. Haeder:Biotest AG: Employment. Anderson:Celgene: Membership on an entity's Board of Directors or advisory committees; Oncoprep: Equity Ownership; Acetylon: Equity Ownership; Acetylon: Equity Ownership; Gilead: Membership on an entity's Board of Directors or advisory committees; Gilead: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Oncoprep: Equity Ownership; Millennuim: Membership on an entity's Board of Directors or advisory committees; Millennuim: Membership on an entity's Board of Directors or advisory committees; C4 Therapeutics: Equity Ownership; C4 Therapeutics: Equity Ownership; Bristol Myers Squibb: Membership on an entity's Board of Directors or advisory committees; Bristol Myers Squibb: Membership on an entity's Board of Directors or advisory committees.
HLA Haplotypes Are Associated with Multiple Myeloma Risk in the African American Multiple Myeloma Study (AAMMS)
Abstract Background: Persons of African ancestry (AA) have a 2-3-fold higher risk of multiple myeloma (MM) than persons of European ancestry (EA). Like other B-cell malignancies, genome-wide association scans (GWAS) have identified MM risk variants in the HLA region in persons of EA. We conducted a case-control analysis with data from the National Marrow Donor Program (NMDP)1comprising MM patients typed for bone marrow transplant to donor controls matched by race-ethnicity, and found associations between specific HLA alleles/haplotypes and MM risk that varied by race and ethnicity. To confirm our results and identify additional novel signals, we have now investigated associations between HLA alleles and haplotypes and MM risk in the African American Multiple Myeloma Study (AAMMS) Cohort. Methods: The source of subjects was the AAMMS, in which AA MM patients were identified from 10 cancer centers and 4 Surveillance, Epidemiology and End-Results (SEER) Program cancer registries in order to identify genetic risk factors for MM among AAs. A GWAS was conducted using the Illumina Human Core BeadChip array on DNA samples from 1,305 AA MM patients in the AAMMS comparing results to those from 7,078 AA controls with GWAS data generated from the Illumina 1MDuo2. The major histocompatibility complex (MHC) region single nucleotide polymorphisms (SNPs) were imputed to classical HLA variants using HIBAG. Unconditional logistic regression was used to estimate HLA associations, adjusting for sex, age and the first 2 principal components. P-values were adjusted for false discovery rate (FDR) for each locus group. Results: We did not identify any single HLA alleles associated with MM risk among AAs. However, several B*07:02-containing haplotypes were associated with MM risk (odds ratios [OR] ranging from 2.38 to 2.64 and FDR P-values ranging from 1.43 x 10-6 to 3.57 x 10-8). We found associations between MM risk and genotypes containing DRB3*02:02, including DRB3*02:02~DRB1*11:01+ DRB3*02:02~DRB1*11:01 (OR=1.93, PFDR= 9.36 x 10-5) similar to those observed in the NMDP study1. Novel findings included associations between MM risk and HLA Class I haplotypes B*53:01+ B*57:01 (OR=1.94, PFDR= 0.003) and C04:01~B*53:01+C*06:02~B*57:01 (OR=1.96, PFDR= 0.0050). Results from an ongoing meta-analysis between the two data sets (one based on an imputed GWAS and one based on NMDP HLA typing) will be presented. Conclusions: This study is the second to examine HLA alleles and risk of MM among AA's and is by far the largest. We confirmed a previously observed association between an HLA Class II DRB3 variant and MM risk and confirmed an association with B*07 haplotypes previously observed among EAs1. We also identified novel associations between other HLA Class I haplotypes and MM risk in AA's. Because HLA is highly polymorphic, many HLA alleles are rare variants for which genetic associations are difficult to detect without very large sample sizes. Further investigation with large sample sizes will be necessary to refine these associations in order to better identify the underlying causal alleles and determine the functional significance of these HLA associations. 1Beksac M, Gragert L, Fingerson S, et al.: HLA polymorphism and risk of multiple myeloma.Leukemia. 2016 Jul 27. doi: 10.1038/leu.2016.199. 2Rand KA, Song C, Hwang AE, et al. Genetic susceptibility markers of multiple myeloma in African-Americans. Abstract # 2030, 56th Annual American Society of Hematology Meeting, San Francisco, California, 2014. Disclosures Ailawadhi: Pharmacyclics: Consultancy; Novartis: Consultancy; Amgen Inc: Consultancy; Takeda Oncology: Consultancy. Nooka:Spectrum, Novartis, Onyx pharmaceuticals: Consultancy. Zonder:Pharmacyclics: Other: DSMC membership; Prothena: Consultancy, Honoraria; Celgene: Consultancy, Honoraria, Research Funding; Bristol Myers Squibb: Consultancy, Honoraria; Seattle Genetics: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; Janssen: Consultancy, Honoraria. Lonial:BMS: Consultancy; Novartis: Consultancy; Millenium: Consultancy; Celgene: Consultancy; Janssen: Consultancy; Merck: Consultancy; Celgene: Consultancy; BMS: Consultancy; Novartis: Consultancy; Onyx: Consultancy; Janssen: Consultancy; Onyx: Consultancy.
A Meta-analysis of Multiple Myeloma Risk Regions in African and European Ancestry Populations Identifies Putatively Functional Loci