ALBERT

Description: Improving outcomes in multiple myeloma will involve not only development of new therapies but also better use of existing treatments. We performed RNA sequencing on samples from newly diagnosed patients enrolled in the phase 2 PADIMAC (Bortezomib, Adriamycin, and Dexamethasone Therapy for Previously Untreated Patients with Multiple Myeloma: Impact of Minimal Residual Disease in Patients with Deferred ASCT) study. Using synthetic annealing and the large margin nearest neighbor algorithm, we developed and trained a 7-gene signature to predict treatment outcome. We tested the signature in independent cohorts treated with bortezomib- and lenalidomide-based therapies. The signature was capable of distinguishing which patients would respond better to which regimen. In the CoMMpass data set, patients who were treated correctly according to the signature had a better progression-free survival (median, 20.1 months vs not reached; hazard ratio [HR], 0.40; confidence interval [CI], 0.23-0.72; P = .0012) and overall survival (median, 30.7 months vs not reached; HR, 0.41; CI, 0.21-0.80; P = .0049) than those who were not. Indeed, the outcome for these correctly treated patients was noninferior to that for those treated with combined bortezomib, lenalidomide, and dexamethasone, arguably the standard of care in the United States but not widely available elsewhere. The small size of the signature will facilitate clinical translation, thus enabling more targeted drug regimens to be delivered in myeloma.

Description: Background: Immune reconstitution after AlloSCT is a highly complex process influenced by both graft & recipient-related factors including post-graft therapies. Delayed T-cell reconstitution remains a source of morbidity & mortality and may contribute to limited anti-tumour effect. We sought to evaluate the immune reconstitution kinetics in the setting of post-graft Lenalidomide (Revlimid®) to augment the graft-versus-myeloma effect, by defining key immune biomarkers, in the NCRI LenaRIC phase II trial. Material & Methods: All patients recruited into the study underwent a reduced intensity conditioned (RIC) AlloSCT using Fludarabine & 2Gy TBI with ATG (Fresenius) as in vivo T-cell depletion, following a high dose melphalan ASCT (planned tandem SCT programme). Patients were scheduled to receive Lenalidomide (5mg-10mg/day) on day+35 if stable donor engraftment in the absence of GvHD. Lenalidomide discontinuation was planned at 12 months post-transplant, with donor lymphocyte infusions (DLI) given to patients with evidence of residual disease, relapse or mixed chimerism. Sequential peripheral blood samples were drawn at predetermined time frames before (baseline) and after graft infusion (D+30,+60,+90,+180,+270 & D+360) in all trial registrants. Using multi-parameter flow cytometry (MFC), a comprehensive panel of immune subset & functional/activation markers were used to define characteristics of T-cell, B-cell, regulatory T-cell & NK cells. The inflammatory proteome (IL-1b, IL-4, IL-5, IL-6, IL-10, IFNg, TNFa, CXCL8 & GM-CSF) and soluble immune checkpoints (PD-1 & ICOS) were analyzed using LUMINEX assays on serial serum samples at parallel points. PB cell subset-specific Complete Donor Chimerism (CDC) was analysed by single tandem repeat PCR at day (D)+100,+180,+270 and D+365. Results: From January 2011 to May 2015, 40 patients with myeloma ≥VGPR after 1st or 2nd ASCT, were recruited into the LenaRIC protocol. The median age was 49 years (range 35-65) with PB as the graft source (Matched Related Donor n=16, 10/10 Matched Unrelated Donor n=23; 1 patient not transplanted). Viable samples were received from 37/40 patients (92.5%), with no cycles of Lenalidomide received by 3/37 (8.1%) patients, 1-6 cycles received by 13/37 (35.1%) patients & 〉6 cycles received by 21/37 (56.8%) patients. 5 patients completed 12 cycles as per protocol treatment; of those completing 〉= 10 cycles, 5/16 received DLI. Only 10/37 (27%) of patients achieved a CD4+ cell count 〉200/µl in a median of 180 days compared with 30/37 (81%) of patients who achieved a CD8+ cell count 〉200/µl in a median of 60 days. In patients who did not receive any doses of Lenalidomide, higher levels of CD8+ cells (p=0.013) but lower NK cell levels (p=0.071) were evident at D+30 compared with those eligible to proceed with Lenalidomide. No difference was noted between Lenalidomide exposure subgroups in relation to CD8+ or CD4+ cell recovery. Treg cells were increased at D=270 & D+365 in those who received 〉6 cycles of Lenalidomide, though this corresponded with a higher level of HLA-DR expression on CD8+ T cells representing global immune activation. Significant differences between Lenalidomide exposure subgroups were evident in the inflammatory proteome readout at D+90. CXCL8 levels peaked at D+270, especially in those who received 〉6 cycles of Lenalidomide. Of 30 evaluable patients, T-cell CDC was seen in 63.3% at D100, with 84% of evaluable patients having CDC at D365. No difference between subgroups was evident in relation to rapidity of CDC and stability of CDC. Conclusions: The sequential monitoring of immune biomarkers in the setting of post-graft Lenalidomide following a T-deplete RIC-AlloSCT highlights the rapid and sustained quantitative and functional reconstitution of donor immune homeostasis. The clinical significance of these findings requires correlation with both the anti-tumour immune effect and theimmunopathy ofAlloSCT (GvHD). Unrestricted educational grants were provided by Cancer Research UK and byCelgene.Lenalidomideprovided free of charge byCelgene. The support and time of participating patients and their families is gratefully acknowledged Figure 1 a) Changes in circulating CD8+ T-cells according to Lenalidomide exposure following RIC-Allo SCT for myeloma b) Changes in circulating CD4+CD25+FoxP3+ T-Reg cells according to Lenalidomide exposure following RIC-Allo SCT for Myeloma Figure 1. a) Changes in circulating CD8+ T-cells according to Lenalidomide exposure following RIC-Allo SCT for myeloma. / b) Changes in circulating CD4+CD25+FoxP3+ T-Reg cells according to Lenalidomide exposure following RIC-Allo SCT for Myeloma Disclosures Cook: Glycomimetics: Consultancy, Honoraria; Sanofi: Consultancy, Honoraria, Speakers Bureau; Janssen: Consultancy, Honoraria, Research Funding, Speakers Bureau; Bristol-Myers Squibb: Consultancy, Honoraria; Takeda: Consultancy, Honoraria, Research Funding, Speakers Bureau; Celgene: Consultancy, Honoraria, Research Funding, Speakers Bureau; Amgen: Consultancy, Honoraria, Research Funding, Speakers Bureau. Brock:AstraZeneca: Equity Ownership; GlaxoSmithKline: Equity Ownership. Cavenagh:Amgen: Consultancy, Speakers Bureau; Novartis: Consultancy, Speakers Bureau; Janssen: Consultancy, Speakers Bureau; Celgene: Consultancy, Speakers Bureau. Cook:Celgene: Honoraria, Research Funding; Janssen: Honoraria, Research Funding; Amgen: Honoraria; Cancer Research UK: Research Funding; Takeda: Honoraria.

Description: A major challenge in modern myeloma management is the selection of the best initial treatment from a plethora of available therapies. PAD (bortezomib, doxorubicin, and dexamethasone) is a highly effective regimen which may obviate the need for an upfront high-dose melphalan stem cell transplant (HDSCT). However, it is not clear a priori which patients will benefit from this treatment. In the phase 2 PADIMAC trial, patients with newly diagnosed myeloma were treated with six cycles of PAD and stratified to receive HDSCT in partial remission (PR) or watch and wait in very good partial remission (VGPR) or better. To identify predictive biomarkers, we extracted somatic RNA prior to treatment and performed massively parallel RNA sequencing (RNAseq). Basic quality control metrics suggested a high-quality RNAseq dataset. Furthermore, spiked expression of IgH fusion partners was consistent with fluorescent in situ hybridization (FISH) data for each sample. All t(4;14) and t(4;16) cases were correctly identified by RNAseq on the basis of the relevant fusion transcript. As a final quality control measure, recurrent variants (e.g. NRAS, KRAS, TP53, FAM46C, DIS3) were identified in the expected proportions. We performed a pre-planned analysis of differential gene expression between those patients achieving a VGPR or better, sustained for at least 12 months without HDSCT (excellent responders), and those patients who achieved less than a PR (poor responders). 85 genes were upregulated in poor responders and 225 in excellent responders. Interestingly, there was no significant overlap between our PAD-predictive signature and the Arkansas 70 gene poor prognosis signature, the Arkansas 17 gene poor prognosis signature, or the EMC92 prognostic signature. This is likely to reflect in part, the greater sensitivity of RNAseq for gene expression compared to microarrays. However, it also implies that there is a selective signature for PAD responsiveness. We employed the Gage and Pathview packages to identify non-redundant pathways associated with PAD responsiveness. Significantly upregulated genes in poor responders were those involved in: DNA replication, base excision repair, and the Fanconi anaemia pathway. Genes upregulated in excellent responders included those involved in: several signalling pathways (including RAS, NF-Kappa B, FOXO and JAK-STAT pathways); chemokine and cell adhesion; protein processing in the endoplasmic reticulum; and immune activation pathways such as T-cell receptor signalling and natural killer cell-mediated cytotoxicity. Finally, we investigated the ability of expression signatures to stratify patients on the basis of PAD responsiveness. Our analysis suggests that RNASeq-defined transcriptional profiles could aid in the selection of patients for PAD therapy (leading to an increase in overall response rate from 70% to 86%), as well as the stratification of patients in CR to a non-HDSCT protocol. We anticipate that our current analysis could easily incorporate specific response signatures for other regimens and could make personalized therapy for myeloma a reality in the foreseeable future. Disclosures Yong: Autolus Ltd: Equity Ownership, Patents & Royalties: APRIL based chimeric antigen receptor; Janssen: Research Funding. Streetly:Guys and St. Thomas' NHS Trust: Honoraria. Schey:Celgene, Takeda: Honoraria; Celgene: Consultancy; Celgene, Johnson & Johnson: Speakers Bureau. Cook:Amgen: Consultancy, Honoraria, Research Funding, Speakers Bureau; Janssen: Consultancy, Honoraria, Research Funding, Speakers Bureau; Glycomimetics: Consultancy, Honoraria; Takeda: Consultancy, Honoraria, Research Funding, Speakers Bureau; Celgene: Consultancy, Honoraria, Research Funding, Speakers Bureau; Sanofi: Consultancy, Honoraria, Speakers Bureau; Bristol-Myers Squibb: Consultancy, Honoraria. Cook:Takeda: Honoraria; Amgen: Honoraria; Celgene: Honoraria, Research Funding; Janssen: Honoraria, Research Funding; Myeloma UK: Membership on an entity's Board of Directors or advisory committees.

Description: Introduction: Salvage autologous transplantation (sASCT) in multiple myeloma has been shown to induce superior durability of responses over low-dose alkylating consolidation therapy in the relapsed setting1. The optimum re-induction regimen leading to sASCT is yet to be defined though a combination of a proteasome inhibitor (PI) and immunomodulatory agent (IMiD) is likely to offer the best depth of response. UK-MRA Myeloma XII (ACCoRD study) aims to address the role of conditioning augmentation and post-transplant maintenance. As part of this study, a novel re-induction regimen was used, the results of an interim analysis (IA) of efficacy and safety are presented here. Patients and Methods: The ACCoRd study enrolled patients who relapsed requiring treatment more than 12 months after a previous ASCT (ASCT1), delivering novel re-induction therapy with ixazomib, thalidomide and dexamethasone (ITD) prior to being randomized between a conventional high-dose melphalan (HDM) sASCT versus an ixazomib-augmented (iMel) sASCT. A second randomization between observation and post-transplant ITD consolidation with ixazomib maintenance, was conducted at D+100 post sASCT. All patients underwent genetic risk categorization by a central laboratory. High-risk genetic lesions were defined as t(4;14), t(14;16), t(14;20), del(17p) or gain(1q). On an intent-to-treat (ITT) basis, responses were assessed in accordance with the IMWG criteria with MRD defined by the limit of the multi-parameter flow assay (70 years. The median observed TTP from ASCT1 was 31.5 months (range 9.8, 118.3). 15.8% of patients were deemed to have clinical relapse at trial entry based on CRAB criteria (anaemia 13.9%, renal disease 3.0% and hypercalcaemia 0.0%) and no significant difference in ASCT1 TTP was evident between clinical and biochemical relapse groups (21.8m vs 31.9m; Wilcoxon p=0.2201). 68.2% had standard risk disease, 24.2% had HR disease and 6.1% had UHiR disease at trial entry, with gain(1q) (25.8%) being the commonest abnormality at relapse. 62.5% had standard risk disease, 27.5% had HR disease and 10% had UHiR disease at diagnosis with gain(1q) (20.8%) being the commonest abnormality. The ORR was 66.3%, with ³VGPR in 26.7%. The ORR and ³VGPR did not differ between biochemical vs. clinical relapse (ORR 56.3% vs 68.3%; ³VGPR 12.5% vs 29.3%; P=0.5585), genetic risk status (SR/HiR: ORR 57.8% vs 50.0%; ³VGPR 20% vs 31.3%; P=0.5585) but prior PI exposure was important (exposed vs naive: ORR 53.5% vs 75.9%; ³VGPR 16.3% vs 34.5%; P=0.0290). Progressive disease (PD) was recorded in 11.9%, with PD more commonly seen in PI-exposed (18.6%) and HiR (18.8%). 59/101 patients proceeded to transplant randomization so far, the main reasons for failing to proceed was PD (11.9%). 475 cycles of ITD were administered to 99 patients, with a median of 5 cycles per patient (range 1, 7). 41 SAEs were reported in 30 patients with 17 SAEs suspected related to trial medication, summarized in Table 1. 45.5% of patients had treatment modifications (14.9% with ixazomib, 37.6% with thalidomide, 24.8% dexamethasone) with treatment discontinuations for toxicity reported in 3.9% of patients. The commonest reasons for treatment discontinuation were maximum response (67.3%), PD (11.9%) and withdrawal (7.9%). Conclusion: We demonstrate the efficacy and safety profile of the novel triplet combination of ixazomib, thalidomide and dexamethasone as a re-induction regimen suitable for patients progressing to a ASCT. Further data will be forthcoming as the trial continues to recruit towards target, with the true impact on depth of response pending interim analysis of the transplant randomization. G Cook, et al. The Lancet Oncology, Vol. 15, No. 8, p874-885. Table 1. Table 1. Disclosures Cook: Janssen: Consultancy, Honoraria, Research Funding, Speakers Bureau; Bristol-Myers Squibb: Consultancy, Honoraria; Glycomimetics: Consultancy, Honoraria; Sanofi: Consultancy, Honoraria, Speakers Bureau; Amgen: Consultancy, Honoraria, Research Funding, Speakers Bureau; Seattle Genetics: Honoraria; Janssen: Consultancy, Honoraria, Research Funding, Speakers Bureau; Takeda: Consultancy, Honoraria, Research Funding, Speakers Bureau; Celgene Corporation: Consultancy, Honoraria, Research Funding, Speakers Bureau. Parrish:Jazz: Honoraria, Speakers Bureau; Janssen: Speakers Bureau; Celgene: Speakers Bureau. Yong:TAkeda: Honoraria, Research Funding; janssen: Honoraria; Celgene: Honoraria; Amgen: Honoraria, Research Funding. Cavenagh:Takeda: Research Funding, Speakers Bureau; Janssen: Honoraria, Speakers Bureau; Celgene: Honoraria, Research Funding, Speakers Bureau; Novartis: Honoraria, Speakers Bureau; Amgen: Honoraria, Speakers Bureau. Snowden:Jannssen/J&J: Other: Speaker fees; Jazz & Sanofi: Other: Speaker fees at ASH. Drayson:Abingdon Health: Equity Ownership, Membership on an entity's Board of Directors or advisory committees. Garg:Amgen: Honoraria, Other: Travel Support; Novartis: Other: travel support, Research Funding; Janssen: Honoraria; Takeda: Other: Travel Grant. Cairns:Merck Sharp and Dohme: Research Funding; Amgen: Research Funding; Celgene: Research Funding. Ashcroft:Janssen: Consultancy, Honoraria, Speakers Bureau; Celgene Corporation: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; Amgen: Consultancy, Honoraria, Speakers Bureau; Amaris Medical: Consultancy, Honoraria. Striha:MSD: Research Funding; Celgene: Research Funding; Janssen: Research Funding; Amgen: Research Funding; Abbvie: Research Funding. Hockaday:Janssen: Research Funding; Abbvie: Research Funding; Amgen: Research Funding; Celgene: Research Funding; Millenium: Research Funding; MSD: Research Funding. Owen:Janssen: Consultancy, Other: Travel support; Takeda: Honoraria, Other: Travel Support; Celgene: Consultancy, Honoraria, Research Funding. Williams:Amgen: Honoraria, Speakers Bureau; Takeda: Honoraria, Other: Travel support; Celgene: Honoraria, Other: Travel Support, Speakers Bureau; Janssen: Honoraria, Other: Travel support, Speakers Bureau. Cook:YAkeda: Honoraria; Jazz: Honoraria; Celgene: Honoraria, Research Funding; Janssen: Honoraria, Research Funding; Chugai: Honoraria; Amgem: Honoraria.

Description: Introduction: Histone deacetylase inhibitors (HDACis) have demonstrated clinical efficacy in multiple myeloma, particularly in combination with proteasome inhibitors. CHR-3996 is a class 1 selective HDACi with potent anti-myeloma activity in vitro. Aminopeptidase inhibitors act downstream of the proteasome and prevent breakdown of proteasome generated peptides into amino acids. Synergistic cytotoxicity was observed in vitro when CHR-3996 was combined with the aminopeptidase inhibitor, tosedostat through rapid activation of NFkB followed by increased expression of the repressors IκBα, A20, CYLD, BIRC3. The MUK-three study was designed to translate these pre-clinical findings into a phase 1 clinical trial. This dose escalation study aimed to determine the maximum tolerated dose, safety and preliminary activity of CHR-3996 administered in combination with Tosedostat for patients with relapsed, refractory MM. Here we present the final study results. Methods: MUK-three was an open label multi-centre UK Phase I/IIa trial for patients with relapsed and relapsed/ refractory myeloma who had failed conventional treatments. Patients were permitted to meet the haematological entry criteria using growth factor and/or blood product support. During dose escalation subjects received CHR-3996 (20-40mg days1-28) and Tosedostat (0-60mg days 1-28) (Table 1) every 28 day cycle until disease progression or withdrawal. Dose limiting toxicities (DLTs) were evaluated during cycle 1 and dose escalation followed the 3+3 design. Responses were assessed using modified IMWG uniform response criteria, with the primary endpoint for the expansion phase of stable disease (SD) rate after 4 cycles of therapy. Toxicity was graded by CTCAE V4.0. Results: The trial was open to recruitment from July 2012 to December 2015. 20 patients were treated during dose escalation, including 8 at the recommended dose (RD) and 12 at dose levels (DL) 1-3. Only 1 DLT was observed at DL3 (grade 4 thrombocytopenia); however, this DL was deemed not tolerable due to the high incidence of low grade gastrointestinal toxicities. Hence the RD was determined as DL3b, CHR-3996 20mg and Tosedostat 60mg. A further 2 patients were treated at RD during dose expansion to make the required 10 patients for the protocol defined initial analysis at which point the trial closed. At the RD (n=10) median age was 63 years (range 47-73). 80% of patients had received at least 4 prior lines of therapy (median 4, range 2-9); 50% were ISS II, 30% ISS III; 4/6 patients with evaluable FISH data had 1q gain. The median time from diagnosis to treatment for the overall population was 85.3 months (27.5-198.8). The median number of cycles received was 2.5 (range 2-8) and 2 patients remain on treatment with 8 stopped due to disease progression. The 2 patients ongoing (received 5 & 9 prior lines) had their schedule adjusted to a 5 day a week dosing to further improve tolerability. Both had a clinical response (1MR, 1PR) and remained progression free at 6 months. 3/10 patients had SD after 4 cycles, the overall response rate (≥PR) was 1/10(10%) and the clinical benefit rate (≥MR) 2/10 (20%). Overall outcomes were: PR 10%, MR 10%, and SD 30%. Median time to maximum response was 1.84 months (95% CI [1.09, 8.65]). Toxicities at the RD were manageable, 30% of patients required a dose reduction. 22 serious adverse events were reported in 16 patients across all doses, mainly infections (10/22, 45.5%). The commonest grade 3-4 toxicities reported for all 22 patients were: platelet count decrease (12, 54.5%), white blood cell decreased (6, 27.2%), diarrhoea (5, 22.7%). The most frequent grade 1-2 toxicities were fatigue (15, 68.2%), nausea (14, 63.3 %), anorexia (14, 63.6%), anaemia (13, 59.1%). 1 patient withdrew due to toxicity, and there were no treatment related deaths. Conclusions: This study demonstrated that the novel combination of CHR-3996 and tosedostat was safe and tolerable in multiply relapsed, refractory myeloma patients many of which had poor bone marrow function. The recommended dose of the combination was 20mg and 60mg, respectively. Following further adjustment to an intermittent 5 day/ week dosing schedule, treatment was well tolerated and clinical benefit observed. This suggests that further evaluation of this novel combination is warranted. Acknowledgments: This trial was part of the Myeloma UK Clinical Trial Network, ISRCTN: 24989786. Disclosures Williams: Novartis: Honoraria; Janssen: Honoraria, Other: Travel support, Speakers Bureau; Celgene: Honoraria, Other: Travel support, Speakers Bureau; Takeda: Honoraria, Other: Travel support, Speakers Bureau; Amgen: Honoraria, Speakers Bureau. Yong:Autolus Ltd: Equity Ownership, Patents & Royalties: APRIL based chimeric antigen receptor; Janssen: Research Funding. Cook:Takeda Oncology: Consultancy, Research Funding, Speakers Bureau; Amgen: Consultancy, Speakers Bureau; Sanofi: Consultancy, Speakers Bureau; Glycomimetics: Consultancy; Celgene: Consultancy, Research Funding, Speakers Bureau; Janssen: Consultancy, Research Funding, Speakers Bureau. Jenner:Amgen: Consultancy, Honoraria, Other: Travel support; Takeda: Consultancy, Honoraria, Other: Travel support; Janssen: Consultancy, Honoraria, Other: Travel support, Research Funding; Novartis: Consultancy, Honoraria; Celgene: Consultancy, Honoraria, Research Funding. Morgan:Univ of AR for Medical Sciences: Employment; Bristol Meyers: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; Janssen: Research Funding; Celgene: Consultancy, Honoraria, Research Funding. Davies:Janssen: Consultancy, Honoraria; Celgene: Consultancy, Honoraria; Takeda: Consultancy, Honoraria.

Description: Background Treatment of relapsed/refractory multiple myeloma (RRMM) remains challenging as durable remissions are achieved in patient sub-groups only. Identifying patients that are likely to benefit prior to or early after starting relapse treatments remains an unmet need. MUKseven is a trial specifically designed to investigate and validate biomarkers for treatment optimization in a 'real-world' RRMM population. Design In the randomized multi-center phase 2 MUKseven trial, RRMM patients (≥2 prior lines of therapy, exposed to proteasome inhibitor and lenalidomide) were randomized 1:1 to cyclophosphamide (500 mg po d1, 8, 15), pomalidomide (4 mg days 1-21) and dexamethasone (40 mg; if ≥75 years 20 mg; d1, 8, 15, 21) (CPomD) or PomD and treated until progression. All patients were asked to undergo bone marrow (BM) and peripheral blood (PB) bio-sampling at baseline, cycle 1 day 14 (C1D14, on-treatment) and relapse. For biomarker discovery and validation, IGH translocations were profiled by qRT-PCR, copy number aberrations by digital MLPA (probemix D006; MRC Holland), GEP by U133plus2.0 array (Affymetrix), PD protein markers by IHC and PB T-cell subsets by flow cytometry for all patients with sufficient material. Primary endpoint was PFS, secondary endpoints included response, OS, safety/toxicity and biomarker validation. Original planned sample size was 250 patients but due to a change in UK standard of care during recruitment with pomalidomide becoming available, a decision was made to stop recruitment early. Results In total, 102 RRMM patients were randomized 1:1 between March 2016 and February 2018. Trial entry criteria were designed to include a real-world RRMM population, permitting transfusions and growth factor support. Median age at randomization was 69 years (range 42-88), 28% of patients had received ≥5 prior lines of therapy (median: 3). Median follow-up for this analysis was 13.4 months (95% CI: 12.0-17.5). 16 patients remained on trial at time of analysis (median number of cycles: 19.5; range 8-28). More patients achieved ≥PR with CPomD compared to PomD: 70.6% (95% CI: 56.2-82.5%) vs. 47.1% (CI: 32.9-61.5%) (P=0.006). Median PFS was 6.9 months (CI: 5.7-10.4) for CPomD vs. 4.6 months (CI: 3.5-7.4) for PomD, which was not significantly different as per pre-defined criteria. Follow-up for OS is ongoing and will be presented at the conference. High-risk genetic aberrations were found at following frequencies: t(4;14): 6%, t(14;16)/t(14;20): 2%, gain(1q): 45%, del(17p): 13%. Non-high risk lesions were present as follows: t(11;14): 22%, hyperdiploidy: 44%. Complete information on all high-risk genetic markers was available for 71/102 patients, of whom 12.7% had double-hit high-risk (≥2 adverse lesions), 46.5% single-hit high-risk (1 adverse lesion) and 40.8% no risk markers, as per our recent meta-analysis in NDMM (Shah V, et al., Leukemia 2018). Median PFS was significantly shorter for double-hit: 3.4 months (CI: 1.0-4.9) vs. single-hit: 5.8 months (CI: 3.7-9.0) or no hit: 14.1 months (CI: 6.9-17.3) (P=0.005) (Figure 1A). GEP was available for 48 patients and the EMC92 high-risk signature, present in 19% of tumors, was associated with significantly shorter PFS: 3.4 months (CI: 2.0-5.7) vs. 7.4 (CI: 3.9-15.1) for EMC92 standard risk (P=0.037). Pharmacodynamic (PD) profiling of cereblon and CRL4CRBN ubiquitination targets (including Aiolos, ZFP91) in BM clots collected at baseline and C1D14 is currently ongoing. Preliminary results for the first 10 patients demonstrate differential change of nuclear Aiolos (Figure 1C), with a major decrease in Aiolos H-scores in 7/10 patients from baseline to C1D14 and reconstitution at relapse. T-cell PB sub-sets were profiled at baseline and C1D14 by flow cytometry. Specific sub-sets increased with therapy from baseline to C1D14, e.g. activated (HLA-DR+) CD4+ T-cells, as reported at last ASH. CD4+ T-cell % at baseline was associated with shorter PFS in these analyses in a multi-variable Cox regression model (P=0.005). PD and T-cell biomarker results will be updated and integrated with molecular tumor characteristics and outcome. Discussion Our results demonstrate that molecular markers validated for NDMM predict treatment outcomes in RRMM, opening the potential for stratified delivery of novel treatment approaches for patients with a particularly high unmet need. Additional immunologic and PD biomarkers are currently being explored. Disclosures Croft: Celgene: Other: Travel expenses. Hall:Celgene, Amgen, Janssen, Karyopharm: Other: Research funding to Institution. Walker:Janssen, Celgene: Other: Research funding to Institution. Pawlyn:Amgen, Janssen, Celgene, Takeda: Other: Travel expenses; Amgen, Celgene, Janssen, Oncopeptides: Honoraria; Amgen, Celgene, Takeda: Consultancy. Flanagan:Amgen, Celgene, Janssen, Karyopharm: Other: Research funding to Institution. Garg:Janssen, Takeda, Novartis: Other: Travel expenses; Novartis, Janssen: Research Funding; Janssen: Honoraria. Couto:Celgene Corporation: Employment, Equity Ownership, Patents & Royalties. Wang:Celgene Corporation: Employment, Equity Ownership. Boyd:Novartis: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Celgene: Consultancy, Honoraria. Pierceall:Celgene: Employment. Thakurta:Celgene: Employment, Equity Ownership. Cook:Celgene, Janssen-Cilag, Takeda: Honoraria, Research Funding; Janssen, Takeda, Sanofi, Karyopharm, Celgene: Consultancy, Honoraria, Speakers Bureau; Amgen, Bristol-Myers Squib, GlycoMimetics, Seattle Genetics, Sanofi: Honoraria. Brown:Amgen, Celgene, Janssen, Karyopharm: Other: Research funding to Institution. Kaiser:Takeda, Janssen, Celgene, Amgen: Honoraria, Other: Travel Expenses; Celgene, Janssen: Research Funding; Abbvie, Celgene, Takeda, Janssen, Amgen, Abbvie, Karyopharm: Consultancy.

Description: Introduction: Multiple myeloma (MM) is more common in men than women but the mechanism(s) driving this are not understood. In our previous study (Myeloma IX) we found sex disparities in the cytogenetic lesions present in myeloma cells at the time of diagnosis and that female sex was associated with reduced overall survival in the context of treatment with traditional chemotherapy (CVAMP/MP) and thalidomide combinations. Here, we evaluate sex differences in almost 4000 patients recruited to the UK NCRI Myeloma XI trial, in which treatment exposure to lenalidomide predominated. Methods: Myeloma XI recruited newly diagnosed patients of all ages, with pathways for transplant eligible (TE) and ineligible (TNE) patients. An induction randomisation compared the triplet combination of cyclophosphamide, lenalidomide and dexamethasone to a similar combination with thalidomide (CRD vs CTD). Eligible patients underwent autologous stem cell transplant (ASCT) and in both pathways a maintenance randomisation compared lenalidomide (+/-vorinostat) until disease progression versus observation. We compared baseline characteristics of males and females using Fisher's Exact test for categorical characteristics and the Wilcoxon-Mann-Whitney test for continuous characteristics with p1 lesion present. Results: Of 3894 patients enrolled in the trial 2268 (58%) were male and 1626 (42%) were female, in keeping with the known sex disparity in MM. There was no difference in the median age, WHO performance status, ethnicity and most laboratory values of the two groups. Females were more likely to have the molecular risk lesions t(14;16) and del(17p) and had proportionately more HiR and UHiR disease, Table 1. Despite these differences, PFS and OS from induction randomisation did not significantly differ (PFS: Males 25 months, [95% CI 24, 26], Females 24 months, [95% CI 22, 25] and OS: Males 67 months, [95% CI 62, 70], Females 70 months, [95% CI 64, 74]). Molecular lesions that have been associated with outcome remained prognostic in both sexes, with a stepwise reduction in PFS and OS with cumulative risk lesions. PFS: Males SR 29 months, HiR 23 months, UHiR 16 months (p 〈 0.0001), Females SR 27 months, HiR 18 months, UHiR 17 months (p = 0.0007); OS: Males SR 77 months, HiR 59 months, UHiR 34 months (p 〈 0.0001), Females SR 82 months, HiR 54 months, UHiR 41 months (p 〈 0.0001). There was, however, no significant difference in PFS or OS when we compared males and females with a given cytogenetic lesion or cytogenetic risk. There was a significant difference in the proportion of patients of either sex who continued through the trial and underwent ASCT in the TE pathway (Males 72%, Females 67%; p = 0.031), but no significant difference in those that entered the maintenance randomisation (TE: Males 56%, Females 50%, p = 0.107; TNE Males 45%, Females 42%, p = 0.249). There was no significant PFS or OS difference by sex when analysed within each treatment pathway (TE, TNE), induction regimen (CTD, CRD) and maintenance approach (lenalidomide maintenance, observation). Conclusions: Females had a higher proportion of the adverse molecular risk lesions del(17p) and t(14;16) and were more likely to have HiR and UHiR disease. In the context of Myeloma XI trial treatment this did not correspond to a difference in PFS or OS, either overall or within the induction or maintenance randomisation treatment options (even though males were more likely to undergo ASCT). This suggests that in women the treatment delivered may have been able to overcome some of the adverse effect of the risk lesions present or that other factors affecting outcome were more important. on behalf of the NCRI Haematological Oncology Clinical Studies Group. Disclosures Cairns: Celgene, Amgen, Merck, Takeda: Other: Research Funding to Institution. Davies:Janssen, Celgene: Other: Research Grant, Research Funding; Amgen, Celgene, Janssen, Oncopeptides, Roche, Takeda: Membership on an entity's Board of Directors or advisory committees, Other: Consultant/Advisor. Boyd:Novartis: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Celgene: Consultancy, Honoraria; Takeda: Consultancy, Honoraria. Cook:Celgene, Janssen-Cilag, Takeda: Honoraria, Research Funding; Janssen, Takeda, Sanofi, Karyopharm, Celgene: Honoraria, Speakers Bureau. Drayson:Abingdon Health: Consultancy, Equity Ownership. Gregory:Abbvie, Janssen: Honoraria; Amgen, Merck: Research Funding; Celgene: Consultancy, Research Funding. Jenner:Abbvie, Amgen, Celgene, Novartis, Janssen, Sanofi Genzyme, Takeda: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Jones:Celgene: Honoraria, Research Funding. Kaiser:Takeda, Janssen, Celgene, Amgen: Honoraria, Other: Travel Expenses; Celgene, Janssen: Research Funding; Abbvie, Celgene, Takeda, Janssen, Amgen, Abbvie, Karyopharm: Consultancy. Owen:Celgene, Janssen: Honoraria; Celgene, Janssen: Consultancy; Celgene: Research Funding; Janssen: Other: Travel expenses. Russell:DSI: Consultancy, Honoraria, Speakers Bureau; Jazz: Consultancy, Honoraria, Speakers Bureau; Pfizer Inc: Consultancy, Honoraria, Speakers Bureau; Astellas: Consultancy, Honoraria, Speakers Bureau. Morgan:Bristol-Myers Squibb, Celgene Corporation, Takeda: Consultancy, Honoraria; Amgen, Janssen, Takeda, Celgene Corporation: Other: Travel expenses; Celgene Corporation, Janssen: Research Funding. Jackson:Celgene, Amgen, Roche, Janssen, Sanofi: Honoraria. Pawlyn:Amgen, Celgene, Takeda: Consultancy; Amgen, Janssen, Celgene, Takeda: Other: Travel expenses; Amgen, Celgene, Janssen, Oncopeptides: Honoraria. OffLabel Disclosure: CTD/CRD induction therapy for myeloma, Lenalidomide maintenance 10mg 21/28 days

Description: Introduction: Although proteasome inhibitors (PIs), immunomodulatory drugs (IMiDs), and PI+IMiD combinations have become the standard of care in multiple myeloma (MM), they are not considered curative. Most patients (pts) eventually relapse or become refractory to treatment, and outcomes are poor after treatment failure. A median overall survival (OS) of 13 mo was reported in pts with relapsed/refractory MM (RRMM) who were double-refractory to a PI and IMiD and received ≥3 prior therapies (Kumar et al, Leukemia 2017). Recently developed therapies with novel mechanisms of action (MoAs), including the monoclonal antibodies (mAbs) elotuzumab and daratumumab, are associated with prolonged progression-free survival (PFS) in clinical trials of RRMM (Dimopoulos et al, Cancer in press; NEJM 2016). However, there is little up-to-date information on real-world survival outcomes. Herein we report survival patterns across key milestone timepoints in pts with RRMM in a real-world clinical setting. Methods: PREAMBLE (NCT01838512) is an ongoing international, prospective, observational cohort study. Adults with RRMM who were not participating in a clinical trial at the time of enrollment, had ≥1 prior therapy and documented disease progression, and began treatment with a PI, IMiD, PI+IMiD combination, or newer agent (those with newer MoAs, such as mAbs, histone deacetylase inhibitors, and novel combinations) ≤90 d before to 30 d after informed consent, were included and followed for up to 3 years. During the observational period, data were collected at each healthcare visit, and vital status was assessed every 6 mo throughout the follow-up period. Clinical efficacy and patient characteristic data were collected by healthcare providers using electronic case report forms. Descriptive statistics were used to describe pt characteristics and Kaplan-Meier plots were generated for time-to-event data. Multivariate Cox regression, with stepwise variable selection to select independent variables, was used to assess the association between baseline characteristics and PFS or OS. Results: At database lock (Nov 30, 2017), 1159 pts with RRMM were enrolled from the USA (31%) and Europe (67%), and included in this analysis. After a median (IQR) follow-up of 12.4 (6.3-24.9) mo, 39% of pts were still on study and 34% had died; most deaths (67%) were due to MM progression. At enrollment, median (range) age was 69 (34-92) y; 77% of pts had relapsed disease and 21% refractory disease. Among pts with a medical history, the most common comorbidities were vascular disorders (49%), metabolism and nutrition disorders (34%), and musculoskeletal/connective tissue disorders (29%). Pts received a median of 2 prior therapies before enrollment, with 50% having received an IMiD, 61% a PI, 21% a PI+IMiD, and 2% a newer agent. At enrollment, 45% of pts were receiving an IMiD, 41% a PI, 10% a PI+IMiD, and 4% a newer agent. Since enrollment, a total of 58% of pts received an IMiD, 49% a PI, 16% a PI+IMiD, and 10% a newer agent (including regimen received at enrollment). Median (95% CI) PFS was 11.4 (10.5-12.2) mo and OS was 33.7 (28.5-37.5) mo. Survival rates at milestone timepoints are shown in Table 1. Among pts who died due to MM progression (n=266), MM-related mortality was 56% at 12 mo, 85% at 24 mo, and 97% at 36 mo. In multivariate analysis, risk of disease progression/death was lower in pts with relapsed vs refractory disease at baseline (hazard ratio [HR] 0.82; 95% CI 0.68-0.99; p=0.0425) and higher in pts who had received 2-3 (HR 1.37; 95% CI 1.15-1.64; p=0.0004) or ≥4 (HR 1.54; 95% CI 1.22-1.95; p=0.0003) vs 1 prior therapy. Multivariate analysis for OS identified younger age, female sex, non-white race, relapsed disease, early-stage disease, fewer prior therapies, and the absence of baseline cardiac or gastrointestinal disorders as independent predictors of longer OS (Table 2). Conclusions: Real-world data suggest that over the last decade, survival has improved for pts with RRMM; however, OS remained low (48%) after 3 years in this analysis and most deaths were attributed to MM. Baseline comorbidities may also increase the risk of death and should be carefully considered when selecting treatments. Newer treatment options are still needed to further extend survival in pts with RRMM. Study support: Bristol-Myers Squibb (BMS). Writing support: Janice Zhou, Caudex, funded by BMS. Disclosures Cook: Bristol-Myers Squibb: Consultancy, Honoraria; Janssen: Consultancy, Honoraria, Research Funding, Speakers Bureau; Takeda: Consultancy, Honoraria, Research Funding, Speakers Bureau; Seattle Genetics: Honoraria; Celgene Corporation: Consultancy, Honoraria, Research Funding, Speakers Bureau; Amgen: Consultancy, Honoraria, Research Funding, Speakers Bureau; Sanofi: Consultancy, Honoraria, Speakers Bureau; Janssen: Consultancy, Honoraria, Research Funding, Speakers Bureau; Glycomimetics: Consultancy, Honoraria. Cella:Novartis: Consultancy, Research Funding; Janssen Global services: Consultancy, Research Funding; Pfizer: Consultancy, Research Funding; Bristol-Myers Squibb: Consultancy, Research Funding. Chen:Bristol-Myers Squibb: Employment. Davis:Bristol-Myers Squibb: Employment. Durie:Amgen: Consultancy; Celgene: Consultancy; Takeda: Consultancy; Janssen: Consultancy. Goldschmidt:Novartis: Honoraria, Research Funding; Janssen: Consultancy, Honoraria, Research Funding; Takeda: Consultancy, Research Funding; Chugai: Honoraria, Research Funding; Mundipharma: Research Funding; Sanofi: Consultancy, Research Funding; Celgene: Consultancy, Honoraria, Research Funding; Bristol Myers Squibb: Consultancy, Honoraria, Research Funding; Amgen: Consultancy, Research Funding; Adaptive Biotechnology: Consultancy; ArtTempi: Honoraria. Moreau:Celgene: 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; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees; Abbvie: Honoraria, Membership on an entity's Board of Directors or advisory committees; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees. Vij:Karyopharma: Honoraria, Membership on an entity's Board of Directors or advisory committees; Bristol-Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Jazz Pharmaceuticals: Honoraria, Membership on an entity's Board of Directors or advisory committees; Jansson: 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, Research Funding; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees.