TAK-169, a Novel Recombinant Immunotoxin Specific for CD38, Induces Powerful Preclinical Activity Against Patient-Derived Multiple Myeloma Cells

Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 11-12
Author(s):  
Wassilis S.C. Bruins ◽  
Wenrou Zheng ◽  
Jack P. Higgins ◽  
Erin K. Willert ◽  
John Newcomb ◽  
...  

Monoclonal antibodies (daratumumab, anti-CD38; elotuzumab, anti-SLAMF7) and BCMA-targeting T-cell redirecting therapies are highly effective in a large proportion of multiple myeloma (MM) patients. Nonetheless, age, prior (chemo)therapy, and the tumor-microenvironment may impair immune effector cell function and therefore significantly reduce the efficacy of these immunotherapies. Alternatively, an appealing strategy would be the use of targeted therapies, such as immunoconjugates, that directly kill the tumor cells. TAK-169, a novel CD38-specific immunotoxin armed with a deimmunized (DI) Shiga-like toxin A subunit (SLTA) payload, has been designed with this idea. TAK-169 induces irreversible ribosome inactivation of target cells with no dependency on immune effector cells. Prior studies showed that TAK-169 exerts potent cytotoxic activity against CD38-positive human MM cell lines in vitro and in xenograft mouse models (Willert et al. AACR 2019 Abstract 2384). Also, TAK-169 was well tolerated in mice and non-human primates (Willert et al. AACR 2019 Abstract 2384), and deimmunizing the SLTA molecule significantly reduced the in vivo immunogenicity of the payload (Willert et al. AACR 2015 Abstract 2477; Rajagopalan et al. AACR 2016 Abstract 595; Robinson et al. AACR 2017 Abstract 2695). We now assessed the preclinical activity of TAK-169 on a large panel of primary MM cells present in bone marrow (BM) samples from newly diagnosed (ND) (n=13), daratumumab-naive relapsed/refractory (RR) (n=11), and daratumumab-refractory (DR) RR (n=12) patients in flow cytometry-based cytotoxicity assays. In these samples, we also tested the impact of TAK-169 on non-malignant CD38-expressing hematopoietic cells, to gain insight into its on-target off-tumor effects. TAK-169 effectively lysed MM cells present in 36/36 BM samples in a dose-dependent fashion (Figure 1A; median maximal lysis 89%; range 45-100%; EC50: 36pM). Of note, MM cells from ND and daratumumab-naïve RR patients were equally sensitive to TAK-169-mediated lysis (Figure 1B and 1C; median maximal lysis 90%; range 76-100% vs. median maximal lysis 91%; range 76-98%). While MM cells from DR RR patients were also effectively killed, a fraction of these samples was less sensitive to TAK-169-mediated lysis (Figure 1B and 1C; median maximal lysis 66%, range 45-99%). We are currently exploring the impact of several patient and tumor characteristics, such as previous therapies and surface CD38 expression levels on MM cells, on the cytotoxic activity of TAK-169, and results will be reported. In the BM samples, the cytotoxic activity of TAK-169 was mainly restricted to MM cells - except for limited lysis of NK cells (median maximal lysis: 18%) and monocytes (median maximal lysis: 21%), no other non-malignant hematopoietic cells were lysed (Figure 1D), indicating a favorable therapeutic window generated by targeting CD38 with TAK-169. In conclusion, we show that TAK-169 induces powerful lysis of primary MM cells from both ND and RR MM patients, including those refractory to daratumumab. Our findings support the ongoing phase 1 clinical trial evaluating TAK-169 monotherapy in heavily pretreated MM (NCT04017130), and encourage preclinical evaluation of TAK-169 in other CD38-positive malignancies such as AML and T-ALL. Disclosures Higgins: Molecular Templates, Inc.: Current Employment, Other: Stockholder. Willert:Molecular Templates, Inc.: Current Employment, Other: Stockholder. Newcomb:Takeda Pharmaceuticals International: Current Employment, Other: Stockholder. Dash:Millennium Pharmaceuticals, Inc., a wholly owned subsidiary of Takeda Pharmaceutical Company Limited: Current Employment, Other: Stockholder. Van De Donk:BMS: Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: Membership on an entity's Board of Directors or advisory committees; Roche: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Bayer: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen Pharmaceuticals: 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; Servier: Membership on an entity's Board of Directors or advisory committees. Zweegman:Takeda: 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; Sanofi: Membership on an entity's Board of Directors or advisory committees; Janssen Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding. Mutis:Gadeta: Research Funding; Onkimmune: Research Funding; Takeda: Research Funding; Janssen Pharmaceuticals: Research Funding; Genmab: Research Funding.

Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 21-21
Author(s):  
Dalia Khan ◽  
Joanne Mitchell ◽  
Rekha Rana ◽  
Neline Kriek ◽  
Amanda Unsworth ◽  
...  

Background: Multiple Myeloma (MM) is a rare incurable bone marrow cancer characterised by a malignant proliferation of plasma cells. MM is usually preceded by a premalignant and benign Monoclonal Gammopathy of Undetermined Significance (MGUS). The incidence of arterial and venous thrombosis in MM is substantially higher than in the normal population, however the cause of this increased thrombosis risk and the impact of MM on platelet function is unclear. Treatments for both newly diagnosed and relapsed/refractory patients with MM include Immunomodulatory drugs (IMiDs) such as thalidomide/lenalidomide-based combinations. These treatments improve considerably patient outcomes, however iMiD treatment also increases the risk of thrombotic complications in these patients. Aims: In this prospective study we explored the impact of MM and its treatment on platelet function. Methods: High throughput functional analysis was performed using platelets from normal healthy controls (n=31) and patients with MGUS (n=18), smouldering multiple myeloma (SMM, n= 20), and MM (26). The MM group was further divided into 3 treatment cohorts; (1) no treatment, (2) treatment with proteasome inhibitor (PI) and dexamethasone (Dex), and (3) treatment with PI, Dex, immunomodulatory drug (iMiD) and direct oral anticoagulant. Platelet aggregation and activation (fibrinogen binding and P-selectin exposure) were measured in response to a concentration range of agonists including ADP, the thrombin receptor agonist TRAP-6, collagen, collagen-related peptide (CRP), a thromboxane receptor agonist U46619 and epinephrine. Cereblon protein was detected in platelet protein extracts by immunoblot analysis. Results: Consistent with previous reports, modestly increased VWF and factor VIII levels were detected in MM patients, but no additional differences in coagulation parameters were detected in patient groups compared to normal healthy controls (other than expected due to anticoagulant usage). Platelet aggregation in response to each agonist was increased significantly in the MM patient group compared to the normal healthy controls, suggesting that platelet reactivity is elevated in MM patients through a common mechanism that is shared by different activation pathways or the involvement of multiple mechanisms. P-selectin exposure on platelets from MM patients was not significantly different from normal healthy donors, indicating that enhanced platelet reactivity in MM is specifically through modulation of integrin αIIbβ3 activation, fibrinogen binding and therefore enhanced aggregation. The effects of treatment on platelet function in patients on iMiD vs. non iMiD treatment were assessed. In the iMiD treatment group, patient platelets aggregated in response to lower concentrations of ADP, collagen, epinephrine and CRP in samples taken post-treatment compared to those taken before and during treatment. This demonstrates an increased sensitivity to platelet activation in these patients induced by treatment. Immunoblot analysis revealed that platelets contain cereblon, a therapeutic target of lenalidomide. The potential direct effects of iMiDs on platelets in vitro was therefore explored. Lenalidomide treatment (10mM) increased the ability of platelets to aggregate in response to low concentrations of each agonist tested when compared to normal controls. Conclusions: Platelet reactivity is increased in multiple myeloma and increased further upon iMiD treatment. The presence of the key therapeutic target for iMiDs in platelets and the ability of lenalidomide to modulate platelet function directly, reveals new avenues for investigation to determine the underlying mechanism of action. Disclosures Laffan: CSL: Consultancy; Pfizer: Consultancy; Sobi: Consultancy; Roche: Consultancy; LFB: Consultancy; Shire: Consultancy; Octapharma: Consultancy; Bayer: Speakers Bureau; Roche-Chugai: Speakers Bureau; Takeda: Speakers Bureau; Leo-Pharma: Speakers Bureau; Pfizer: Speakers Bureau. Shapiro:Bayer: Consultancy, Speakers Bureau; Pfizer: Consultancy, Speakers Bureau; NovoNordisk: Consultancy, Speakers Bureau; Sobi: Consultancy, Speakers Bureau; Chugai/Roche: Consultancy, Speakers Bureau; Shire/Takeda: Consultancy, Speakers Bureau. Thakurta:Oxford University: Other: visiting professor; Bristol Myers Squibb: Current Employment, Current equity holder in publicly-traded company. Ramasamy:Takeda: Research Funding; Janssen: Research Funding; Takeda: Membership on an entity's Board of Directors or advisory committees; Bristol Myers Squibb: Research Funding; Amgen: Research Funding; Amgen: Honoraria; Takeda: Honoraria; Sanofi: Honoraria; Oncopeptides: Honoraria; Takeda: Speakers Bureau; Abbvie: Membership on an entity's Board of Directors or advisory committees; GSK: Membership on an entity's Board of Directors or advisory committees; Oncopeptides: Membership on an entity's Board of Directors or advisory committees; Sanofi: Membership on an entity's Board of Directors or advisory committees; Amgen: Membership on an entity's Board of Directors or advisory committees; Janssen: Honoraria; Bristol Myers Squibb: Honoraria; Janssen: 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. Gibbins:Bristol Myers Squibb: Research Funding; Arena Pharmaceuticals: Research Funding.


Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 2112-2112
Author(s):  
Meletios A. Dimopoulos ◽  
Matthew C Cheung ◽  
Murielle Roussel ◽  
Ting Liu ◽  
Barbara Gamberi ◽  
...  

Abstract Background: Approximately 20–40% of pts with NDMM present with RI, which is associated with a negative impact on survival (Rajkumar, 2005). In the pivotal phase 3 FIRST trial (median follow-up 37 months [mos]), continuous Rd improved progression-free survival (PFS) vs. melphalan-prednisone-thalidomide (MPT) in elderly NDMM pts by 28% (25.5 vs. 20.7 mos; HR = 0.72; P < 0.01) (Facon, Blood 2013). Although 121 pts receiving continuous Rd are still on Tx, the interim overall survival (OS) analysis showed a 22% reduction in the risk of death in favor of continuous Rd vs. MPT (HR = 0.78; P = 0.02). The present analysis was conducted to determine the impact of RI on PFS, OS, and time to 2nd antimyeloma Tx (AMT) as clinical study outcomes. Methods: Pts were randomized to 3 Tx arms: continuous Rd until progression (n = 535); Rd for 18 cycles (72 weeks) (Rd18; n = 541); or MPT for 12 cycles (72 weeks) (n = 547). Enrolled NDMM pts were categorized according to their renal function: 24% had normal renal function (creatinine clearance [CrCl] ≥ 80 mL/min), 44% presented with mild RI (≥ 50 and < 80 mL/min), 23% had moderate RI (≥ 30 and < 50 mL/min), and 9% had severe RI (< 30 mL/min). Pts requiring dialysis were excluded. Lenalidomide starting dose was 25 mg QD for pts with normal renal function or mild RI, 10 mg QD for moderate RI, and 15 mg QOD for severe RI. Melphalan dose was reduced by 50% in pts with moderate or severe RI. The primary endpoint was PFS (continuous Rd vs. MPT); secondary endpoints were OS, overall response rate, time to response, duration of response, time to Tx failure, time to 2nd AMT, health-related quality of life, safety, and improvement in renal function from baseline. Improvement in RI was defined as shifts from baseline to most extreme post-baseline value of the calculated CrCl as a measure of renal function during the active Tx (N = 1484). Results: A PFS benefit favored continuous Rd vs. MPT irrespective of the degree of renal function (Table 1): there was a benefit in pts with normal renal function (HR = 0.72 (0.51–1.02); P = 0.06), and better in pts with mild RI (HR = 0.79 (0.62–1.00); P = 0.05) and moderate RI (HR = 0.62 (0.45–0.85); P < 0.01). A PFS benefit was also seen with continuous Rd vs. Rd18 (a secondary comparison) in pts with mild RI and moderate RI (P < 0.01 for both). An interim OS benefit with continuous Rd vs. MPT was observed in most renal subgroups. Similar results were observed between Rd18 and MPT in terms of PFS or interim OS in any of the renal subgroups. Continuous Rd, compared with Rd18 or MPT, extended time to 2nd AMT in most renal groups except severe RI (CrCl < 30mL/min) (Table 2). Improvement in RI was observed more frequently in pts treated with continuous Rd than those with Rd18 or MPT: improvement of mild RI, 48%, 43%, and 48%, respectively; of moderate RI, 67% 61%, and 62%; and of severe RI, 64%, 59%, and 56%. Overall, < 5% of pts in any Tx group experienced a worsening in renal function status during Tx (continuous Rd 2.2%; Rd18 2.8%; MPT 2.7%). The most common grade 3–4 adverse events (AEs) for these Txs were anemia, neutropenia, thrombocytopenia, deep-vein thrombosis/pulmonary embolism (DVT/PE), and peripheral sensory neuropathy (Table 3). Tx discontinuation due to AEs increased in pts with moderate and severe RI, regardless of the type of Tx (Table 3). Conclusions: PFS, OS (at interim analysis), and time to 2nd AMT outcomes generally improved continuous Rd vs. Rd18 or MPT in transplant-ineligible NDMM pts with normal renal function, and in those with mild or moderate RI. The small number of pts in the severe RI group precluded a meaningful conclusion. Continuous Rd was generally well tolerated and renal function improved in the majority of pts during Tx with continuous Rd vs. Rd18 or MPT. Disclosures Dimopoulos: Celgene Corporation: Consultancy, Honoraria. Off Label Use: Lenalidomide used in newly diagnosed multiple myeloma patients. Roussel:Celgene: Consultancy, Lecture fees Other, Research Funding. van der Jagt:Celgene Corporation: Research Funding. Jaccard:Celgene Corporation: Honoraria, Research Funding. Tosikyan:Celgene: Consultancy. Karlin: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; Sandoz: Honoraria, Membership on an entity's Board of Directors or advisory committees. Bensinger:Celgene Corporation: Consultancy, Research Funding. Schots:Celgene: Research Funding. Chen:Celgene Corporation: Employment. Marek:Celgene Corporation: Employment, Equity Ownership. Ervin-Haynes:Celgene Corporation: Employment. Facon:Celgene: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau.


Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 3475-3475 ◽  
Author(s):  
Maximilian Merz ◽  
Hans Salwender ◽  
Mathias Hänel ◽  
Uta Bertsch ◽  
Christina Kunz ◽  
...  

Abstract Background: In patients with relapsed multiple myeloma (MM), Moreau and colleagues (Lancet Oncol, 2011) demonstrated that subcutaneous (SC) administration of bortezomib (BTZ) significantly reduced rates of adverse events (AE) compared to the intravenous (IV) formulation without loss of efficacy. Prospective data on SC BTZ in newly diagnosed MM are limited. We investigated the impact of SC versus IV BTZ in two different induction therapies for patients with newly diagnosed MM treated within the multicenter, prospective randomized MM5 trial of the German Myeloma Multicenter Group (GMMG). Methods: From 06/2010 until 11/2013, 604 patients were randomly assigned to receive 3 cycles of PAd (BTZ 1.3 mg/m2, days 1, 4, 8 and 11; Doxorubicin 9 mg/m2 IV, days 1-4; Dexamethasone 20 mg/d, orally, days 1-4, 9-12 and 17-20) or 3 cycles VCD (BTZ 1.3 mg/m2, days 1, 4, 8 and 11; Cyclophosphamide 900 mg/m2IV; day 1, Dexamethasone 40 mg/d, orally, days 1-2, 4-5, 8-9 and 11-12) for induction therapy. In the MM5 trial, induction therapy is followed by stem cell mobilization and harvest, high-dose therapy and Lenalidomide-based consolidation/maintenance therapy. Primary end points of the ongoing study are response to treatment after induction therapy and progression-free survival. Due to improved AE profile of SC compared to IV BTZ reported by Moreau, the administration of BTZ was changed from IV to SC in 02/2012. Therefore, we were able to perform an explorative analysis of 598 patients who received at least one dose of trial medication (PAd: n=150 IV / 140 SC; VCD: n=154 IV / 140 SC). 14 patients were excluded from the analysis because administration of BTZ was changed after start of induction therapy. We analyzed whether the route of administration influenced the applied cumulative BTZ dose, toxicity and efficacy of PAd and VCD. Results: The cumulative applied BTZ dose was significantly higher in patients treated with SC BTZ (PAd: 28.9 mg; VCD: 28.8 mg) compared to IV-treated patients (PAd: 27.6 mg; VCD: 27.9 mg; p = 0.007). Analysis of reported AEs associated to induction therapy revealed a significantly higher rate in patients treated with IV BTZ (65.1%) compared to SC-treated patients (55.7%, p = 0.02). AE > °II were reported more frequently in the IV group (IV: 52.0%; SC: 43.9%, p = 0.004). In detail, abnormal laboratory findings including leucopenia and thrombocytopenia (IV: 23.0%; SC: 16.4%, p = 0.05), metabolism and nutrition disorders (IV: 12.5%; SC: 5.4%, p = 0.004) and gastrointestinal disorders (IV: 9.9%; SC: 3.9%, p = 0.006) occurred more often in IV-treated patients. Analysis of peripheral neuropathy (PN) ≥ °II revealed no significant differences between IV and SC BTZ during the first two cycles of induction therapy (cycle 1: IV: 1.6%; SC: 2.5%; cycle 2: IV: 2.3%; SC: 3.6%) but PN occurred more often in IV-treated patients during the third cycle of induction therapy compared to the SC group (IV: 7.6%; SC: 1.8%, p = 0.001). Overall response rates (partial response or better) were not influenced by the route of administration in patients treated with PAd (IV: 72.7%; SC: 70.7%; p = 0.79) or VCD (IV: 77.9%; SC: 82.1%; p = 0.39). Analysis of the VCD arm showed that rates of VGPR or better were significantly higher in patients treated with IV BTZ compared to SC-treated patients (IV: 41.6%; SC: 28.6%, p = 0.02). Rates of VGPR or better were also higher for IV-treated patients in the PAd arm but did not reach statistical significance (IV: 36.7%; SC: 31.4%, p=0.39). Patient characteristics including baseline creatinine levels > 2 mg/dl, obesity or age at inclusion > 65 years did not influence efficacy of IV or SC BTZ in both arms. Conclusion: Last year we reported on the favorable toxicity profile and equal efficacy of VCD compared to PAd. With the current analysis we demonstrate that toxicity is further reduced with SC BTZ compared to IV. We therefore recommend VCD as induction therapy. However, we show for the first time a possible loss of efficacy in SC-treated patients. Therefore it remains unclear whether the reduced toxicity justifies the general application of SC BTZ in newly diagnosed, transplant-eligible patients or whether a prolonged treatment (4 x VCD SC) may reduce toxicity while achieving similar efficacy. Further studies are warranted since our results are partially in contrast with the previously presented data in relapsed MM and the ongoing MM5 trial was initially not designed to prospectively investigate the effect of SC or IV BTZ. Disclosures Salwender: Janssen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Binding site: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees. Scheid:Celgene: Honoraria; Janssen: Honoraria. Mai:Janssen: Travel support Other. Hose:Novartis: Research Funding. Schmidt-Wolf:Janssen: Consultancy, Honoraria. Weisel:Janssen: Consultancy, Honoraria; Celgene: Consultancy, Honoraria; Onyx: Consultancy, Honoraria; BMS: Consultancy; Noxxon: Consultancy. Duerig:Janssen: Consultancy, Honoraria; Celgene: Honoraria. Goldschmidt:Janssen-Cilag: Honoraria, Research Funding, Speakers Bureau; Polyphor: Research Funding; Celgene: Honoraria, Research Funding, Speakers Bureau; Novartis: Honoraria, Research Funding, Speakers Bureau; Chugai: Research Funding, Speakers Bureau; Onyx: Consultancy, Speakers Bureau; Millenium: Consultancy, Speakers Bureau.


Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 4490-4490
Author(s):  
Sigrun Thorsteinsdottir ◽  
Ingigerdur S Sverrisdottir ◽  
Gauti Gislason ◽  
Ola Landgren ◽  
Ingemar Turesson ◽  
...  

Abstract Introduction Multiple myeloma (MM) causes lytic bone lesions, osteopenia, and fractures, which increase the morbidity of MM patients. Results from small previous studies have indicated that fractures in MM have a negative effect on survival. Aims The aim of the study was to evaluate the impact of fractures on survival in MM patients diagnosed in Sweden in the years 1990-2013. Furthermore, to analyze the effect of bone fractures at MM diagnosis on subsequent survival. Methods Patients diagnosed with MM in 1990-2013 were identified from the Swedish Cancer Registry. Information on date of birth, diagnosis, and death were collected from the Registry of Total Population. Information on all fractures were retrieved from the Swedish Patient Registry. Cox regression model was used with fractures as time-dependent variables. The effect of fractures on survival was assessed for any fracture or a subtype of fracture (a specific bone fracture or ICD-coded pathologic fracture). Either first fracture or the first subtype of fracture was used in the analysis. The effect of a fracture at MM diagnosis (within 30 days before or 30 days after MM diagnosis) on survival was also estimated using a Cox regression model. All models were adjusted for age, sex, time of diagnosis, and previous fractures. Results A total of 14,008 patients were diagnosed with MM in the study period. A total of 4,141 (29.6%) patients developed a fracture including fractures that occurred within a year before MM diagnosis and thereafter. Hereof 2,893 (20.7%) patients developed a fracture after MM diagnosis. The risk of death was significantly increased for patients that developed a fracture after the time of MM diagnosis with a hazard ratio (HR) of 2.00 (95% confidence interval (CI) 1.91-2.10) for all fractures combined. The risk of death was significantly increased for patients that developed all subtypes of fractures after MM diagnosis except ankle fractures. The risk of death was significantly increased for patients that developed pathologic fractures (HR=2.17; 95% CI 2.03-2.32), vertebral fractures (HR=1.73; 95% CI 1.61-1.87), hip fractures (HR=1.99; 95% CI 1.82-2.18), femoral fractures (HR=2.62; 95% CI 2.32-2.98), humerus fractures (HR=2.57; 95% CI 2.32-2.86), forearm fractures (HR=1.24; 95% CI 1.05-1.46), and rib fractures (HR=1.52; 95% CI 1.31-1.77), but not for ankle fractures (HR 1.07; 95% CI 0.79-1.44). A total of 942 (6.7%) of all MM patients were diagnosed with a fracture within 30 days before or 30 days after MM diagnosis. The patients with a fracture at diagnosis were at a significantly increased risk of death compared to those without (HR 1.31; 95% CI 1.21-1.41; Figure) Conclusions Our large population-based study, including over 14,000 patients diagnosed with MM in Sweden in the years 1990-2013, showed that MM patients that developed a fracture after the time of diagnosis were at twofold increased risk of dying compared to MM patients without a fracture. Furthermore, MM patients with a fracture at diagnosis had a 30% higher risk of dying compared to patients without a fracture. Our results indicate that fractures in MM reflect a more advanced disease at diagnosis and stress the importance of managing MM bone disease in all MM patients. Figure. Figure. Disclosures Landgren: Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Merck: Membership on an entity's Board of Directors or advisory committees; Karyopharm: Consultancy; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Pfizer: Consultancy; Celgene: Consultancy, Research Funding; Amgen: Consultancy, Research Funding.


Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 1800-1800 ◽  
Author(s):  
Shaji K. Kumar ◽  
Patricia Greipp ◽  
Morie A Gertz ◽  
Angela Dispenzieri ◽  
Linda B Baughn ◽  
...  

Background: A variety of risk factors have been described in multiple myeloma and current risk assessment incorporates ISS stage with specific FISH results and serum LDH (R-ISS). However, this model does not include all the current abnormalities described as prognostic for survival in multiple myeloma. Importantly, the impact of many of these high-risk abnormalities are not uniform. We examined if we can better integrate FISH results into a risk assessment tool to better predict the outcomes of newly diagnosed MM. Patients and methods: We studied a cohort of 1316 patients with FISH done within 6 months of diagnosis of MM, in whom results for commonly observed abnormalities were available. We specifically examined the individual impact of common translocations involving chromosome 14, MYC rearrangements, chromosome 1q gain (single or multiple duplication) and del13q/monosomy 13. A risk assessment system was developed, weighting each abnormality according to their Risk Ratio and integrating ISS stage and serum LDH into the final model construction. Overall survival was calculated from diagnosis, with those alive at last follow up being censored. Results: We first examined the impact of each of the above FISH abnormalities: 1) high risk translocations [t(4;14), t(14;16), or t(14,20)], 2) trisomies, 3) t(11;14), 4) MYCrearrangements, 5) del13q/monosomy 13, and 6) 1q gain . Each of the abnormalities, except for t(11;14), was prognostic for survival (Table 1 with the risk ratios). For 1q gain, the median OS was NR, 105 mos and 79 mos respectively for no abnormality, duplication of 1 copy and duplication of multiple copies, (p<0.001). On multivariate analysis, t(11;14) and trisomies were no longer prognostic for overall survival (Table 1). The cumulative impact of abnormalities demonstrated worsening survival in the presence of increasing numbers of abnormalities (Figure 1). Including ISS stage 3 and LDH > ULN as additional variables for prognostication indicated both were individually prognostic for OS. In a multivariate analysis, including these two and FISH abnormalities, 1q gain and LDH were not independently prognostic. The final model consisted of HR translocations, MYCrearrangements, del17p/monosomy 17, del13q/monosomy 13, and ISS stage 3. Each of these variables was weighted using their risk ratio and a composite score was developed using 998 patients for whom all variables were available (range: 0-7.9; median 1.8). Three patient groups were characterized: group 1 (0; 32%), group 2 (1-4; 58%) and group 3 (>4; 10%) with a median OS of 53 mos, 106 mos, and NR, respectively, p <0.001 (Figure 2). Conclusion: Using the most relevant FISH and laboratory factors, in a large cohort of patients, we refined the current system to develop a risk stratification system that predicts survival in patients with newly diagnosed MM treated with contemporary treatment regimens. This needs validation in future studies. Disclosures Kumar: Janssen: Consultancy, Research Funding; Takeda: Research Funding; Celgene: Consultancy, Research Funding. Gertz:International Waldenstrom Foundation: Research Funding; Annexon: Consultancy; Medscape: Consultancy, Speakers Bureau; Amyloidosis Foundation: Research Funding; Abbvie: Other: personal fees for Data Safety Monitoring board; i3Health: Other: Development of educational programs and materials; Springer Publishing: Patents & Royalties; Physicians Education Resource: Consultancy; Pharmacyclics: Membership on an entity's Board of Directors or advisory committees; Proclara: Membership on an entity's Board of Directors or advisory committees; Ionis/Akcea: Consultancy; Alnylam: Consultancy; Prothena Biosciences Inc: Consultancy; Celgene: Consultancy; Janssen: Consultancy; Spectrum: Consultancy, Research Funding; Appellis: Consultancy; Research to Practice: Consultancy; Teva: Speakers Bureau; Johnson and Johnson: Speakers Bureau; DAVA oncology: Speakers Bureau; Amgen: Consultancy. Dispenzieri:Akcea: Consultancy; Janssen: Consultancy; Intellia: Consultancy; Pfizer: Research Funding; Takeda: Research Funding; Celgene: Research Funding; Alnylam: Research Funding. Lacy:Celgene: Research Funding. Dingli:alexion: Consultancy; Janssen: Consultancy; Millenium: Consultancy; Rigel: Consultancy; Karyopharm: Research Funding. Kapoor:Celgene: Honoraria; Janssen: Research Funding; Sanofi: Consultancy, Research Funding; Glaxo Smith Kline: Research Funding; Takeda: Honoraria, Research Funding; Amgen: Research Funding; Cellectar: Consultancy. Leung:Prothena: Membership on an entity's Board of Directors or advisory committees; Takeda: Research Funding; Omeros: Research Funding; Aduro: Membership on an entity's Board of Directors or advisory committees. Bergsagel:Celgene: Consultancy; Ionis Pharmaceuticals: Consultancy; Janssen Pharmaceuticals: Consultancy.


Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 45-46
Author(s):  
Calogerina Catalano ◽  
Joanna Blocka ◽  
Stefanie Huhn ◽  
Nagarajan Paramasivam ◽  
Matthias Schlesner ◽  
...  

Introduction: The risk of developing Multiple Myeloma (MM) is 2-4 fold higher in first-degree relatives of patients with MM compared to the general population, suggesting genetic predisposition to this cancer. Indeed, recent genome-wide association studies have identified common risk alleles that predispose for MM. Yet, the impact of these variants on MM risk is too low to explain familial aggregation of MM. High-impact alleles have been identified for other cancers such as ovarian and breast cancer (BRCA1,-2) and melanoma (CDKN2A) but the search for such alleles in MM is still in its infancy. In order to identify high-impact alleles in MM we have performed whole genome/exon sequencing (WGS/WES) in members of MM high risk families. Methods: We included 21 families with multiple cases of MM/MGUS. Whole genome/exome sequencing was performed on a total of 46 affected and 20 unaffected family members. Filtering and prioritization of the variants were performed in accordance with the criteria of our in-house familial cancer variant prioritization pipeline version 2 (FCVPPv2). Loss-of-function variants were further screened using MutPred-LOF, Translate tool and IntOGen/c-BioPortal in order to discriminate pathogenic and neutral variants, to translate a nucleotide sequence to a protein sequence and to visualize the domain affected by the variant and the portion of the protein lost after the newly formed stop codon. Variants were analyzed for predicted effects on splicing by using Human Splicing Finder. Results: We found a total of 148 potentially pathogenic variants, 109 non-synonymous and 39 LOF, in 18 out of 21 MM families. Among our genes, many affect protein metabolism, immune system, and other have known links to carcinogenesis. Additionally, some of them are known to interact with key signaling pathways in MM, including PI3K/Akt/mTOR, Ras/Raf/MEK/MAPK, JAK/STAT, NF-κB, Wnt/β-catenin, and RANK/RANKL/OPG, showing congruency with previously reported literature. Interestingly, we also found different missense variants in the same two genes in two unrelated families. Conclusions: We have identified potentially pathogenic gene variants in 85% of MM/MGUS families. Our results can offer a useful reference to gene finding efforts by others in order to improve screening, early diagnosis and personalized therapy of individuals at risk of developing MM. Disclosures Durie: Amgen, Celgene, Johnson & Johnson, and Takeda: Consultancy. Goldschmidt:Merck Sharp and Dohme (MSD): Research Funding; Molecular Partners: Research Funding; Incyte: Research Funding; Sanofi: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other, Research Funding; Johns Hopkins University: Other: Grants and/or provision of Investigational Medicinal Product; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Grants and/or provision of Investigational Medicinal Product:, Research Funding; Dietmar-Hopp-Foundation: Other: Grants and/or provision of Investigational Medicinal Product:; Chugai: Honoraria, Other: Grants and/or provision of Investigational Medicinal Product:, Research Funding; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Grants and/or provision of Investigational Medicinal Product:, Research Funding; BMS: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Grants and/or provision of Investigational Medicinal Product:, Research Funding; University Hospital Heidelberg, Internal Medicine V and National Center for Tumor Diseases (NCT), Heidelberg, Germany: Current Employment; GlaxoSmithKline (GSK): Honoraria; Adaptive Biotechnology: Membership on an entity's Board of Directors or advisory committees; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Grants and/or provision of Investigational Medicinal Product, Research Funding; Novartis: Honoraria, Research Funding; Mundipharma GmbH: Research Funding; Takeda: Membership on an entity's Board of Directors or advisory committees, Research Funding.


Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 5-7
Author(s):  
Arleigh McCurdy ◽  
Christopher P. Venner ◽  
Martha L Louzada ◽  
Richard LeBlanc ◽  
Michael Sebag ◽  
...  

Introduction: The treatment of multiple myeloma (MM) has dramatically improved due to the availability of immunotherapies such as daratumumab (Dara). However, in Canada, myeloma treatments now account for up to 20% of some provincial drug budgets. As Dara may be effective for a prolonged period and is quickly moving into first-line therapy, the Canadian body which provides guidelines to the provincial ministries of health recommended in 2019 against open sequencing of drugs in relapsed MM. Specifically, patients who receive Dara are now only eligible for public funding for either carfilzomib (CAR) or pomalidomide (POM)--but not both-- for relapsed MM. Given the known heterogeneity of myeloma, data gaps regarding the optimal sequencing of the available agents and uncertainly regarding the impact of this new restriction on patient outcomes, we utilized our Canadian national myeloma database to assess the sequencing of these two agents. The goal of our study was to understand the efficacy of these two commonly used treatments in the relapsed setting: 1) POM- after CAR-based therapy and 2) CAR- after POM-based therapy. Methods: We performed a retrospective observational study using the Canadian Myeloma Research Group Database (CMRG-DB), analyzed up to 30/06/2020. The CMRG-DB (formerly Myeloma Canada Research Network Database/MCRN-DB) is a prospectively maintained disease-specific database with over 7000 patients enrolled from 14 academic sites across Canada and includes legacy data collected from 2007. All patients with MM who were treated for relapsed disease with approved regimens using POM after CAR, or CAR after POM were included. Our primary outcomes were overall response rates (ORR) in each respective cohort. Secondary outcomes were progression-free survival (PFS), overall survival (OS), and a landmark OS analysis from treatment initiation with the first of the two agents. Survival was estimated using Kaplan-Meier methods and compared between groups using log rank test. Results: A total of 121 patients were included: 49 treated with POM after CAR, and 72 with CAR after POM. In the POM after CAR group, the median line of treatment was 4th for POM and 3rd for CAR. In the CAR after POM group, the median line of treatment was 4th for POM and 5th for CAR. In 79/121 patients (65%), the two therapies were directly sequential, 40/49 (82%) for the POM after CAR group, and 38/72 (54%) in the CAR after POM group. Baseline characteristics and treatment details are shown in Table 1. The ORR was 51% for patients treated with POM after CAR, and 49% for patients treated with CAR after POM. The median PFS for POM after CAR was 4.93 months (95% CI, 2.76-7.07), and for CAR after POM was 5.36 months (95% CI, 3.75-6.94). The median OS for patients treated POM after CAR was 11.01 months (95% CI, 4.50-19.13), and for patients treated with CAR after POM the median OS was 10.98 months (95% CI, 8.98-19.17) (Figure 1). In a landmark analysis using the time of the treatment initiation with the first of the two agents, the median OS of patients treated with CAR after POM was 37.61 months (95% CI 26.66-46.52) and 25.32 months (95% CI 14.56-41.19) for patients treated with POM after CAR (p=0.1270) (Figure 2). Conclusion: In this real-world observational study we demonstrated that both CAR- and POM-based therapies were effective treatment options for patients with advanced relapsed MM as each produced responses in approximately 50% of patients with a median PFS of about 5 months and median OS of 11 months. These results are comparable to those noted in prospective clinical trials leading to the approval of these agents in this setting. Further, a landmark analysis showed that using both agents sequentially late in the disease course provided reasonable OS outcomes, regardless of the order in which they are sequenced. Finally, as the cost of MM therapy increases, the use of real-world data can help determine the impact of funding decisions on the outcome of patients treated in a publicly funded universal health care system such the one in Canada. Disclosures McCurdy: GSK: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Celgene: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; Sanofi: Honoraria; Amgen: Consultancy, Honoraria. Venner:Janssen, BMS/Celgene, Sanofi, Takeda, Amgen: Honoraria; Celgene, Amgen: Research Funding. Louzada:Janssen: Consultancy, Honoraria; Celgene: Consultancy, Honoraria; Pfizer: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Takeda: Consultancy, Honoraria. LeBlanc:Celgene: Research Funding; Celgene Canada; Janssen Inc.; Amgen Canada; Takeda Canada: Membership on an entity's Board of Directors or advisory committees. Sebag:Takeda: Honoraria; Celgene: Honoraria; Janssen: Honoraria, Research Funding; Amgen: Honoraria. Song:Celgene: Research Funding; Celgene, Janssen, Amgen, Takeda: Honoraria. Jimenez-Zepeda:Janssen, Celgene, Amgen, Takeda: Honoraria. Kotb:Takeda: Honoraria; Merck: Honoraria, Research Funding; Celgene: Honoraria; Janssen: Honoraria; Sanofi: Research Funding; Karyopharm: Current equity holder in publicly-traded company; Amgen: Honoraria. Mian:Sanofi: Consultancy; Takeda: Consultancy, Honoraria; Celgene: Consultancy; Janssen: Consultancy, Honoraria; Amgen: Consultancy, Honoraria. White:Amgen: Consultancy, Honoraria; Celgene: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Sanofi: Consultancy, Honoraria; Takeda: Consultancy, Honoraria. Stakiw:Roche: Research Funding; Lundbeck: Honoraria; BMS: Honoraria; Novartis: Honoraria; Amgen: Honoraria; Celgene: Honoraria; Janssen: Honoraria, Research Funding. Reece:Janssen, Bristol-Myers Squibb, Amgen, Takeda: Consultancy, Honoraria; Janssen, Bristol-Myers Squibb: Membership on an entity's Board of Directors or advisory committees; Merck: Honoraria, Research Funding; Otsuka: Research Funding.


Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 4743-4743
Author(s):  
Karthik Ramasamy ◽  
Spyros Kolovos ◽  
Guido Nador ◽  
Rosemarie Finley ◽  
Matthew Streetly ◽  
...  

Abstract Introduction: Multiple myeloma (MM) is associated with high healthcare resource utilisation. Better understanding of the hospital use by patients with MM is needed to plan future resource allocation to care for these patients. The aim of this study was to characterise the hospital use by patients with MM in the English National Health Service (NHS). Methods: Routinely-collected aggregate hospital admissions data from patients with MM were used from all 451 hospital trusts in the English NHS. This included elective and non-elective hospital admissions from April 1st 2014 to March 31st 2018. Patients were identified using the ICD-10 code for MM (C90.0) as either primary or secondary diagnosis. The number of admissions, number of patients, procedures, and total NHS hospital costs (based on Healthcare Resource Groups and NHS national tariff) were extracted alongside data to identify what percentage of the total NHS admissions are related to MM. Elective admissions were defined as admissions where the decision to admit preceded the time of the actual admission. Results: There were 754,345 admission records reported during the period of analysis from 17,555 women and 24,290 men. Of these, 675,400 (89%) were elective and 78,945 non-elective admissions. The total cost during the period analysed was £183,389,143 for elective and £227,650,088 for non-elective admissions. For elective admissions, 65% of the costs were for day-cases. Despite non-elective admissions constituting only 11% of all admissions, they accounted for 55% of the total hospitalisation costs. Over the period of analysis, elective admissions increased in average by 4.5% per year whilst the average yearly increase in costs was 1.5%; for non-elective hospitalisations, these figures were 4.1% and 9.0%, respectively (Figure). Of the total number of non-elective admissions over the study period, 58% were by men. Most of the procedures for elective admissions were related to chemotherapy and for non-elective ones the majority regarded radiology. While only 0.2% of all patients admitted to the NHS between April 2014 and March 2018 had a MM code, they accounted for 1% of all admission records and 0.5% of all inpatient NHS costs. During this period, patients with MM had on average 19 elective and 3 non-elective admissions per year, compared to 3 elective and 2 non-elective admissions per year per person for all patients admitted to the NHS. Conclusions: MM is associated with a large number of hospital admissions in the English NHS, relative to the low incidence of the disease. While the majority of the hospital admissions are elective, non-elective admissions accounted for the majority of costs. The impact of non-elective admissions should be included when assessing the economic burden of MM and the benefits from novel therapies. Further research is needed to understand the timing of non-elective admissions in the natural history of MM. Disclosures Ramasamy: Janssen: 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; Takeda: 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, Research Funding. Nador:Amgen: Research Funding. Kishore:Celgene: Honoraria; Takeda: Honoraria, Other: travel support. Rabin:Novartis: Consultancy, Speakers Bureau; Amgen: Consultancy, Speakers Bureau; Janssen: Consultancy, Other: Travel support, Speakers Bureau; Takeda: Consultancy, Other: Travel support , Speakers Bureau; Celgene: Speakers Bureau. Yong:Janssen: Honoraria, Speakers Bureau; Amgen: Honoraria, Research Funding, Speakers Bureau; Takeda: Speakers Bureau; Celgene: Honoraria. Ashcroft:Amgen: Consultancy, Honoraria, Speakers Bureau; Janssen: Consultancy, Honoraria, Speakers Bureau; Celgene Corporation: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; Amaris Medical: Consultancy, Honoraria. Bowcock:Janssen: Honoraria; Takeda: Honoraria; Amgen: Honoraria; Takeda: Consultancy. Drayson:Abingdon Health: Equity Ownership, Membership on an entity's Board of Directors or advisory committees.


Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 1877-1877 ◽  
Author(s):  
Madhav V Dhodapkar ◽  
Rachael Sexton ◽  
Antje Hoering ◽  
Bart Barlogie ◽  
Robert Z. Orlowski

Abstract Introduction: Both multiple myeloma (MM) and monoclonal gammopathy of undetermined significance (MGUS) are associated with marked racial disparities; incidence of both MM and MGUS is increased nearly 3-fold in African American (AA) compared to Caucasian/European American (EA) cohorts. Current estimates of the risk of progression to clinical malignancy in MGUS and asymptomatic myeloma (AMM) are at 1% and 10% per year respectively, based on data from EA cohorts such as from the Olmstead county in Minnesota. Risk estimates from prospective studies in AA cohorts are urgently needed to guide optimal management of these patients. Methods: Between 2003 and 2011, 331 eligible patients with IgG/A monoclonal gammopathy were enrolled in a prospective observational trial (SWOG S0120). All patients underwent uniform staging evaluation at baseline and follow up monitoring for progression to clinical myeloma (CMM). This analysis is focused on the impact of race on clinical and biologic features and risk of progression. Results: Of 331 eligible patients, 57 (17%) were of AA descent. Clinical features of the AA cohort were comparable to the non-AA counterparts, with the exception of higher proportion of females (61% versus 43%; p=0.01) and hemoglobin < 12 g/dl (37% versus 23%; p=0.04) in the AA cohort. Among 126 patients with available data on gene expression profile (GEP) of CD138-purified plasma cells, the proportion of patients with GEP-defined subsets was similar between AA and non-AA cohorts. The risk of transformation to clinical malignancy in AA patients was significantly lower than in non-AA cohort (2 year risk 5% vs 15%; 5 year risk 13% versus 24%; log rank p 0.04). Differences in risk were evident for both MGUS (2 year risk 0% versus 2 %) and AMM (2 year risk 13% versus 25%). The proportion of patients with high risk GEP signature (GEP-70 gene risk > -0.26) in purified tumor cells was markedly lower in the AA cohort (0% versus 33%, p=0.01). Unbiased analysis of which genes in the AA cohort predict risk of progression is ongoing. Conclusions: Together these data provide the first prospective evidence that AA patients with myeloma precursor states carry significantly lower risk of progression to CMM compared to non-AA counterparts. This may be explained in part by the finding that precursor lesions in AA patients have markedly lower proportion of genomic changes (such as GEP70-risk signature derived predominantly from chromosome 1) previously associated with higher risk of malignancy in EA cohorts. The mechanisms underlying the transformation to CMM may therefore differ between AA and EA cohorts, which in turn may impact optimal management of these patients. Disclosures Barlogie: Dana Farber Cancer Institute: Other: travel stipend; Celgene: Consultancy, Research Funding; ComtecMed- World Congress on Controversies in Hematology: Other: travel stipend; European School of Haematology- International Conference on Multiple Myeloma: Other: travel stipend; International Workshop on Waldenström's Macroglobulinemia: Other: travel stipend; Millenium: Consultancy, Research Funding; Myeloma Health, LLC: Patents & Royalties: : Co-inventor of patents and patent applications related to use of GEP in cancer medicine licensed to Myeloma Health, LLC; Multiple Myeloma Research Foundation: Other: travel stipend. Orlowski:Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; BioTheryX, Inc: Consultancy, Membership on an entity's Board of Directors or advisory committees; Janssen Pharmaceuticals: Consultancy, Membership on an entity's Board of Directors or advisory committees; Genentech: Consultancy; Poseida: Research Funding; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees; Bristol Myers Squibb: Consultancy; Millenium Pharmaceuticals: Consultancy, Research Funding.


Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 853-853
Author(s):  
Katarina K Jovanovic ◽  
Léa Fléchon ◽  
Mairead Reidy ◽  
Jihye Park ◽  
Xavier Leleu ◽  
...  

Introduction. MYC alterations trigger transition from monoclonal gammopathy of undetermined significance (MGUS) and smoldering multiple myeloma (SMM) to multiple myeloma (MM). They also represent secondary genomic events inducing tumor progression. MYC localization to the nucleus and the short life of the protein are key factors that limit its direct targeting. To overcome these issues, we sought to determine the top genomic dependencies in MYC overexpressing MM by analyzing large-scale knockdown screening, followed by functional validations. Methods. We performed in silico analyses from the Dependency Map (Achilles 2.4.3) together with CCLE (Affymetrix U133+2 expression array), CLUE (Connectivity Map) and MM patient datasets (Chng et al. 2007, Gutiérrez et al. 2010, MMRF RG Dataset), to look for gene dependencies and differentially expressed pathways in MYC OE cancer cell lines and MM patient samples. We generated an isogenic model of MYC OE in U266 MM cell line by using EF1A-C-MYC lentiviral vector, and performed RNA sequencing, a quantitative proteomic analysis by Tandem Mass Tag mass spectrometry (TMT-MS) and a drug screening with ~2000 compounds. To further investigate dependency on glutamine metabolism in MYC OE cell lines, we treated them with GLS1 inhibitor CB-839 and siRNA targeting GLS1 in several cell lines with various MYC expressions and in our isogenic model. Results. By analyzing correlations between MYC expression and gene ATARiS scores corresponding to the effect of over 9000 knockdowns in 236 cell lines, we identified specific vulnerabilities of MYC overexpressing cells for the genes involved in glutamine metabolism and cell cycle pathways. Top dependencies were observed with MYC binding protein MAX (r = -0.51, p &lt; .001), representing an internal control as it is a co-activator of MYC, followed by GLS1 (r = -0.48, p &lt; .001) and SLC1A1 (r = -0.42, p &lt; .001), both involved in glutamine metabolism, together with E2F6 (r = -0.41, p &lt; .001), involved in cell cycle. To further validate dependencies obtained from Achilles data, we generated an isogenic model of MYC OE in U266 (a low c-myc expressing MM cell line). GSEA analysis of RNA seq data showed strong enrichments of translation and cell cycle pathways, with similar results observed in CCLE and MM patient data. Quantitative proteomics analysis of U266 isogenic model showed overexpression of genes involved in glutamine transport (SLC1A5; FC = 1.28, p &lt; .05), glucose metabolism (HK2; FC = 3.68, p &lt; .001) and cell cycle progression (CDK6; FC = 2.85, p &lt; .001). To explore the therapeutic potential of these dependencies, we performed a primary screen of 1902 small-molecules and identified 47 compounds with potent activity on U266/MYC model. Validation screen of these hits identified three leading compounds to which U266/MYC cells showed highest sensitivity at 10 µM concentration - Torin-2 (U266/C 40.28 ± 6.74% vs. U266/MYC 16.05 ± 3.21%), LY2835219 (U266/C 52.70 ± 9.63% vs. U266/MYC 5.52 ± 0.89%) and AT7519 (U266/C 43.03 ± 4.02% vs. U266/MYC 30.13 ± 4.90%), targeting proteins involved in translation and cell cycle pathways. For the functional validation of GLS1 dependency in MYC overexpressing cells, MYC OE cell lines were treated with GLS1 inhibitors CB-839 and 968. MYC high MM cell lines showed higher sensitivity to CB-839 inhibitor compared to MYC low cell lines at 1 µM concentration, after 48 (KMS-12-BM 14.19 ± 0.07%, KMS-18 31.56 ± 2.84%, MM.1S 23.21 ± 1.21% vs. NCI-H1650 46.49 ± 3.48%, U266 52.72 ± 4.99%, LOUCY 37.14 ± 1.14%, OVCAR-3 64.14 ± 5.19%) and 72 h (KMS-18 19.69 ± 3.15%, MM.1S 15.09 ± 1.28% vs. NCI-H1650 34.82 ± 0.95%, U266 61.73 ± 1.70%, LOUCY 46.27 ± 6.27%, OVCAR-3 65.34 ± 1.23%). This suggests that GLS1 dependency in MYC OE cells offers a therapeutic window for the use of GLS1 inhibitors in MM. Conclusion. By using a combination of different datasets and models, we characterized the main dependencies in MYC overexpressing MM. Glutamine metabolism and cell cycle emerged as strong dependencies by using therapeutic inhibitors. Altogether, our results demonstrate that MYC OE MM cells are dependent on glutamine metabolism and cell cycle, and these findings can potentially lead to development of new therapeutic approaches in MM patients. Disclosures Leleu: Oncopeptide: Honoraria; Sanofi: Honoraria; Takeda: Honoraria; Carsgen: Honoraria; Incyte: Honoraria; Novartis: Honoraria; Karyopharm: Honoraria; Amgen: Honoraria; Celgene: Honoraria; Janssen: Honoraria; BMS: Honoraria; Merck: Honoraria. Facon:Celgene: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Janssen: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Takeda: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Amgen: Membership on an entity's Board of Directors or advisory committees; Sanofi: Membership on an entity's Board of Directors or advisory committees. Manier:Amgen: Research Funding; Celgene: Research Funding; Janssen: Research Funding.


Sign in / Sign up

Export Citation Format

Share Document