a Combination of Ex Vivo and Computational Models Predicts Clinical Response in MM Treatment Combinations of Proteasome Inhibitors, Imids, Nuclear Export Inhibitors and Alkylating Agents

Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 3291-3291
Author(s):  
Ariosto Silva ◽  
Maria Silva ◽  
Timothy Jacobson ◽  
Mark B Meads ◽  
Allison Distler ◽  
...  

Abstract Introduction: Multiple myeloma is a heterogeneous plasma cell neoplasm that remains all but incurable despite significant advances in treatment. We anticipate that the ability to overcome this hurdle resides in personalized strategies designed to specifically recognize, target, and anticipate dynamic tumor subpopulations with variable drug response profiles within an individual. To this end, we have developed a novel multi-disciplinary approach using organotypic drug screening and mathematical modeling to assess drug sensitivity of the different subpopulations within the tumor burden of individual patients and, in turn, provide accurate predictions of clinical outcome to anti-myeloma therapy. Material and methods: We have used a novel combination of ex vivo drug sensitivity assay and mathematical models to predict clinical response of 48 MM patients (11 newly diagnosed and 37 relapsed, 18 females and 30 males, median age 64.5, range 45-77) treated with a combination of proteasome inhibitors and IMIDs (37), nuclear export and topo2 isomerase inhibitors (10), and high dose melphalan (1). MM cells (CD138+) were extracted from fresh bone marrow aspirates and seeded in an ex vivo co-culture model with human stroma in 384-well plates. These cells were exposed to a number of chemotherapeutic and experimental agents (up to 31) for a period of 4 days, during which viability was assessed continuously using bright field imaging and digital image analysis. A mathematical model was used to interpolate the dose response dynamics to each drug, and combined with drug and regimen-specific pharmacokinetic data, generate predictions of clinical response to each individual drug. We have then validated ex vivo-based predictions with actual outcome 90 days post-biopsy. In patients treated with combinations, the mathematical model combined the effect of each single drug assuming additivity. Results: To examine the accuracy of the predicted in silico responses, we have assessed the model according to three increasingly strict standards of accuracy: (A) The model correctly predicted 32 out of 32 responders (100%) and 14 out of 16 non-responders (88%), with an overall accuracy of 96%; (B) According to IMWG stratification, the model correctly stratified 14 out of 16 patients as stable or progressive disease (PD/SD, 88%, the remaining 2 incorrectly predicted as MR/PR), 15 our of 18 as minimal or partial response (MR/PR, 83%, the remaining 3 incorrectly predicted as VGPR/CR), and 10 out of 14 patients as very good partial response or complete response (71%, the remaining 4 incorrectly classified as MR/PR), with an overall accuracy of 81%; (C) The 48 patients from this study provided a total of 120 measures of tumor burden (M-spike or SFLC) within the 90-day post-biopsy period. The direct correlation between tumor burden measures and model predictions led to a Pearson r=0.5547 (P<0.0001) and the correlation line [Actual]=0.8282*[Model]+16.27, where [Model] and [Actual] are the predicted and actual tumor burdens as a percentage of tumor burden measure at the moment of treatment initiation. From the 14 non-responders, the model predicted that 2 would have had a VGPR/CR and 3 would have had a MR/PR if treated with drugs differing from those given clinically. Intriguingly, from the 13 patients who received 3-agent therapies with matched in silico drug testing, only 2 had response to all agents, 6 had a response to 2 agents, 4 responded to only 1 of the 3 agents and 1 responded to none of the agents. Next, we examined the 18 patients with a 2-drug match between in silico and actual treatment. From these, 1 patient model responded to 2 drugs, 12 responded to only 1 drug, and 5 responded to none. From the 17 patients with a single agent match between treatment and in silico, 8 had a response and 9 had no response. In summary, among the drugs tested both ex vivoand actually administered to patients, 48% had some predicted clinical benefit, while 52% of agents had none, and could theoretically be removed without affecting clinical outcome. Conclusion: We observed an excellent correlation between in silicopredicted and clinically observed responses in 48 MM patient specimens. Our data suggest that this model may provide critical insight in the selection the appropriate therapeutic agents and number of agents to combine for a given individual. Further validation is required to better define the role of this approach as a clinical decision support tool. Figure Figure. Disclosures Baz: Novartis: Research Funding; Signal Genetics: Research Funding; Karyopharm: Research Funding; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda/Millennium: Research Funding; Bristol-Myers Squibb: Research Funding; Merck: Research Funding. Shain:Signal Genetics: Research Funding; Takeda/Millennium: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Amgen/Onyx: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Novartis: Speakers Bureau.

Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 1777-1777 ◽  
Author(s):  
Jacob D Soumerai ◽  
Kurt S Bantilan ◽  
Ai Ni ◽  
Connie Batlevi ◽  
Anna Alperovich ◽  
...  

Abstract BACKGROUND: Treatment may be safely deferred in asymptomatic patients with advanced stage, low tumor burden follicular lymphoma (FL) until onset of symptoms or organ failure without compromising overall survival (OS). A randomized trial comparing immediate rituximab vs. observation in this setting reported a Time to New Treatment benefit without a corresponding OS benefit (Ardeshna et al, Lancet Oncol 2014). This is a comparison of Time to 1st Treatment (TT1T, observation arm) vs. Time to 2nd Treatment (TT2T, rituximab arm) and thus biased to immediate intervention. TT2T might be a less biased primary endpoint for trials evaluating immediate intervention vs. observation. Time to Treatment n (TT(n)T) is a function of cumulative time spent from diagnosis in periods of observation, treatment, and remission, and TT(n)T approaches OS as n approaches the maximum number of therapies received, thus we also hypothesize that TT2T might be a surrogate for OS. We have therefore performed a comprehensive evaluation of standard endpoints (TT1T, OS, and EFS12), described TT2T as a novel endpoint for trials evaluating intervention vs. observation in asymptomatic patients with advanced stage, low tumor burden FL, and aimed to determine if TT2T is a reliable surrogate for OS. METHODS: We identified 246 consecutive patients at our institution, diagnosed from 1998 to 2007 with advanced stage, low tumor burden follicular lymphoma grade 1-3A, for whom physician intention at diagnosis was observation. Median time to event was calculated using the Kaplan-Meier method for each event: TT1T, TT2T, and OS. Modified Kendall's tau was used to assess the correlation between TT1T, TT2T, and OS, accounting for censoring in these quantities. Tests of modified Kendall's tau against 0 (i.e. no correlation) were performed. EFS12 was defined as non-death event within 12 months of initiation of first treatment, and median OS for EFS12 analysis was calculated from end of first treatment. Of 69 patients who received chemoimmunotherapy as first therapy following initial observation, the log-rank test was used to compare survival distributions by EFS12. RESULTS: Of 246 patients with advanced stage, follicular lymphoma grade 1-3A for whom physician intention at diagnosis was observation, there was a slight female predominance (1.16:1), 34.6% were above age 60 with a median age of 56.1 years (range 25-88), and 11.8% (29/246) developed histologic transformation prior to 1st/2nd therapy, including 7.7% (19/246) prior to 1st treatment. At a median follow-up of 10.9 years: median TT1T was 43.5 months (3.5-217.4+, 179 events), median TT2T was 151.8 months (range 5.2-219.6+, 101 events), and median OS was not reached (range 5.2-219.6+, 48 events). The modified Kendall's tau measuring correlation between TT1T and OS was 0.012 (p = 0.537), and was 0.078 (p < 0.001) between TT2T and OS, suggesting that TT2T is strongly correlated with OS while TT1T is not. Failure to achieve EFS12 was observed in 10.3% (7/68) and associated with inferior OS (p=0.001). Of 7 patients who failed to achieve EFS12, 3 had histologic transformation. CONCLUSIONS: TT2T is a preferred primary endpoint for clinical trials evaluating intervention vs. observation. In patients with advanced stage, low tumor burden FL who are initially observed, the median time from diagnosis to 2nd treatment is 12.7 years. Future trials evaluating the role of immediate therapy in low tumor burden FL might restrict eligibility to high risk patients expected to have inferior TT2T. Efforts are ongoing to develop biomarkers (e.g. m7-FLIPI) that identify a population enriched with high risk patients. Our data also suggest that TT2T might be a better surrogate for OS than TT1T, and analyses are ongoing to validate this finding. Figure 1 Figure 1. Disclosures Hamlin: Molecular Templates: Research Funding; Seattle Genetics: Research Funding; Portola: Research Funding; Gilead: Membership on an entity's Board of Directors or advisory committees; Novartis: Research Funding; Xencor: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees. Horwitz:Spectrum: Consultancy, Research Funding; Bristol-Myers Squibb: Consultancy; Huya: Consultancy; Infinity: Consultancy, Research Funding; Kyowa Hakka Kirin: Consultancy, Research Funding; Takeda: Consultancy, Research Funding; Seattle Genetics: Consultancy, Research Funding; Celgene: Consultancy; ADCT Therapeutics: Research Funding. Palomba:Pharmacyclics: Consultancy. Moskowitz:Merck: Membership on an entity's Board of Directors or advisory committees, Research Funding; Bristol-Myers Squibb: Membership on an entity's Board of Directors or advisory committees, Research Funding; Seattle Genetics: Membership on an entity's Board of Directors or advisory committees, Research Funding. Noy:Pharmacyclics, LLC, an AbbVie Company: Other: travel, accommodations, expenses, Research Funding. Kumar:Celgene: Research Funding; Pharmacyclics: Research Funding; Adaptive Biotechnologies: Research Funding; Seattle Genetics: Research Funding; Celgene: Honoraria, Other: Scientific Advisory Board. Zelenetz:Amgen: Consultancy; Takeda Pharma: Consultancy; Novartis: Consultancy; Nanostring Tech: Consultancy; Portola Pharmaceuticals: Consultancy; Adaptive Biotechnology: Consultancy; Bristol Myers: Research Funding; Boehringer Ingelheim: Other: DMC Membership; Janssen: Consultancy, Research Funding; Hospira: Consultancy; Celgene: Consultancy; Gilead: Consultancy, Research Funding; GSK: Consultancy, Research Funding; Genentech/Roche: Consultancy, Research Funding.


Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 599-599 ◽  
Author(s):  
Cristina J Gasparetto ◽  
Suzanne Lentzsch ◽  
Gary J. Schiller ◽  
William Bensinger ◽  
Nizar Bahlis ◽  
...  

Abstract Introduction - Selinexor is a first-in-class Selective Inhibitor of Nuclear Export (SINE) compound that binds and inactivates Exportin 1 (XPO1). Selinexor with low dose dexamethasone (Sd) or in with protesome inhibitors (PIs) or immunomodulatory drugs (IMiDs), has shown anti-MM activity in patients (pts) with relapsed or refractory MM. Daratumumab (Dara), an anti-CD38 mAb, is approved for the treatment of heavily pretreated MM is limited by short PFS and an ORR of ~21% in quad-refractory MM. Selinexor in combiniation with dara have shown preclinical synergistic killing of MM cells. Methods - Pts were eligible if they had received ≥ 3 prior lines of anti-myeloma therapy, including a PI and an IMiD. Selinexor was dose-escalated in 2 concurrent cohorts: once-weekly (QW, at 100 mg) or twice-weekly (BIW, at 60 mg). Dara was 16 mg/kg IV (recommended schedule) and dexamethasone (dex) was 40 mg QW or 20 mg BIW. The objectives were to determine the maximum tolerated dose (MTD), recommended phase 2 dose (RP2D), safety, tolerability and preliminary efficacy of the combination of this SDd combination in pts with PI/IMiD refractory MM Results - As of Jul 20th2018, 25 pts (11 males / 14 females) have been enrolled. Three pts have been enrolled into the 60 mg BIW and 22 pts in the 100 mg QW cohorts. Pts have a median age of 68 years and a median of 3 (range, 2 - 10) prior treatment regimens. Common SDd treatment related adverse events included (all grades, grades 3/4): thrombocytopenia (58%, 42%), leukopenia (54%, 38%), anemia (46%, 29%), nausea (50%, 0%) and fatigue (46%, 8%). Two dose limiting toxicities (DLTs) were reported in the 60 mg BIW cohort: G3 thrombocytopenia and G2 fatigue requiring dose reduction in selinexor to 100 mg QW. In the 100 mg QW escalation cohort, 6 pts enrolled, 5 evaluable, with no DLTs. This cohort was expanded and enrollment is ongoing. A total of 21 pts were evaluable for response. In 19 dara-naïve pts, the ORR was 74% (5 VGPR, 9 PR, 2 MR, 2 SD, 1 PD), including 3 unconfirmed PRs, 1 unconfirmed MR. In the 2 pts with dara refractory MM, there was one PD and one SD. The longest duration of therapy is 13 months. Based on tolerability and efficacy, the RP2D of SDd is selinexor 100 mg, daratumumab 16 mg/kg and dex 40 mg, administered QW. Conclusions - Selinexor 100 mg QW can be combined safely with dara (per approved dosing) and dex. The preliminary ORR of 74% with SDd in patients with PI/IMiD refractory MM who are dara naïve is promising and compares favorably to 21% ORR of Dara and Sd in quad refractory myeloma. This once weekly regimen is well tolerated with no major organ toxicities to date. Data from the full phase 1 dose expansion will be presented. Disclosures Gasparetto: Takeda: Honoraria; Bristol-Myers Squibb: Consultancy, Honoraria, Other: Travel; Janssen: Consultancy, Honoraria, Other: Travel; Celgene: Consultancy, Honoraria, Other: Travel, Research Funding. Schiller:Celator/Jazz Pharmaceuticals: Research Funding; Pharmacyclics: Research Funding. Bensinger:Janssen: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; celgene: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; amgen: Speakers Bureau; Takeda: Speakers Bureau. Bahlis:Celgene: Consultancy, Honoraria, Research Funding; Janssen: Consultancy, Honoraria, Research Funding; Amgen: Consultancy, Honoraria. White:Amgen, Celgene, Janssen, Takeda: Honoraria. Sebag:Amgen Canada: Membership on an entity's Board of Directors or advisory committees; Takeda Canada: Membership on an entity's Board of Directors or advisory committees; Janssen Inc.: Membership on an entity's Board of Directors or advisory committees; Celgene Canada: Membership on an entity's Board of Directors or advisory committees. Venner:Janssen: Honoraria, Research Funding; Celgene: Honoraria, Research Funding; Amgen: Honoraria; Takeda: Honoraria. Leblanc:Janssen Inc.: Membership on an entity's Board of Directors or advisory committees; Amgen Canada: Membership on an entity's Board of Directors or advisory committees; Celgene Canada: Membership on an entity's Board of Directors or advisory committees; Takeda Canada: Membership on an entity's Board of Directors or advisory committees. Chen:Amgen: Honoraria. Shah:Karyopharm Therapeutics: Employment. Jeha:Karyopharm Therapeutics: Employment. Saint-Martin:Karyopharm Therapeutics: Employment. Kauffman:Karyopharm Therapeutics: Employment, Equity Ownership, Membership on an entity's Board of Directors or advisory committees. Shacham:Karyopharm Therapeutics: Employment, Equity Ownership, Membership on an entity's Board of Directors or advisory committees. Lipe:Celgene: Consultancy.


Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 1615-1615
Author(s):  
Sayak Chakravarti ◽  
Suman Mazumder ◽  
Harish Kumar ◽  
Neeraj Sharma ◽  
Ujjal Kumar Mukherjee ◽  
...  

Abstract Multiple myeloma (MM) is the second-most common hematological malignancy in the US. MM is an incurable, age-dependent plasma cell neoplasm with a 5-year survival rate of less than 50%. Extensive inter-individual variation in response to standard-of-care drugs like proteasome inhibitors (PIs) and immunomodulatory drugs (IMiDs), drug resistance, and dose-limiting toxicities are critical problems for the treatment of MM. Clinical success in anti-myeloma treatment, therefore, warrants continuous development of novel combination therapy strategies with the explicit goal to improve the therapeutic efficacy by concomitantly targeting multiple signaling pathways. Previously, we have reported the development of an in-house computational pipeline called secDrug that applies greedy algorithm-based set-covering computational optimization method followed by a regularization technique to predict secondary drugs that can be repurposed as novel synergistic partners of standard-of-care drugs for the management of refractory/ resistant MM. Top among these secondary drugs (secDrugs) were the HSP90 inhibitor 17-AAG. In this study, we used 17-AAG as a proof of principle to establish a pipeline that integrates our in silico predictions with in vitro and ex vivo validation as well as multi-omics technologies to identify, validate, and characterize therapeutic agents that could be used either alone or in combination with standard-of-care drugs for the treatment of R/R MM patients (Figure 1). To screen and validate our in silico prediction results, we performed in vitro cytotoxicity assays using 17-AAG on a panel of human myeloma cell lines (HMCLs; in vitro model systems) that captures a wide range of biological and genetic heterogeneity representing the complexities encountered in clinical settings. These cell lines include HMCLs representing innate sensitive/resistance, &gt;10 pairs of parental and clonally-derived PI- and IMiD-resistant pairs (P vs VR or LenR; representing acquired/emerging resistance/relapse), NRAS mutants which leads to the constitutive activation of oncogenic Ras signaling, and CRISPR-edited HSP90 knockdown cell line. Our results showed that 17-AAG has high synergistic activity in combination with PI in inducing apoptosis even in innate and acquired PI-resistant HMCLs and significantly reduces the effective dose of PI required to achieve IC 50 (Chou-Talalay's Dose Reduction Index or DRI 7±1.4). Moreover, 17-AAG+IMiD showed synergistic cell killing activity in clonally-derived IMiD resistant HMCL. Further, 17-AAG induced cell death was comparable with Hsp90 knockdown as evident from the cytotoxicity assay using PI and 17-AAG in combination in RPMI8226-wild type and RPMI-HSP90AA1 knocked down cell line. Notably, 17-AAG was strikingly effective against the NRAS-mutant cell line indicating an additional niche (NRas mutant myeloma) where 17-AAG could be most effective. Next, we performed RNA sequencing to elucidate the molecular mechanisms behind 17-AAG drug action, drug synergy, 17-AAG-induced cell death. Our gene expression profiling (GEP) followed by Ingenuity Pathway Analysis (IPA) analysis revealed protein ubiquitination, aryl hydrocarbon receptor signalling pathway as the top canonical pathways. 17-AAG induced apoptosis via mitochondrial mediated pathway in myeloma. 17-AAG exerts its cytotoxic effect by activating intrinsic pathway of apoptosis which we further confirmed through the increase in reactive oxygen species generation and decrease in mitochondrial membrane potential. 17-AAG was also effective in reducing the expression of hallmarks of MM such as p65/NF-kB, IRF4, c-Myc. Finally, we performed mass cytometry (CyTOF; Cytometry by time of flight) on primary bone-marrow cells (PMCs) from myeloma patients for further validation of proteomic signatures at the single-cell level. CyTOF analysis confirmed 17-AAG-induced cell death and key changes in MM-specific proteomic markers. 17-AAG treated PMCs showed elevated cleaved caspase levels and down-regulation of IRF4 and phospho-STAT3. GEP and CyTOF results were confirmed using immunoblotting assays. Together, our study demonstrates a unique pipeline for drug repositioning that has the potential to revolutionize clinical decision-making by minimizing the number of drugs required for discovering successful combination chemotherapy regimens against drug-resistant myeloma. Figure 1 Figure 1. Disclosures Kumar: BMS: Consultancy, Research Funding; Abbvie: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Amgen: Consultancy, Research Funding; Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Tenebio: Research Funding; Beigene: Consultancy; Oncopeptides: Consultancy; Antengene: Consultancy, Honoraria; Carsgen: Research Funding; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; KITE: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Merck: Research Funding; Astra-Zeneca: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Research Funding; Roche-Genentech: Consultancy, Research Funding; Bluebird Bio: Consultancy; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Adaptive: Membership on an entity's Board of Directors or advisory committees, Research Funding; Sanofi: Research Funding.


Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 49-50
Author(s):  
Ariosto Siqueira Silva ◽  
Rafael Renatino-Canevarolo ◽  
Mark B. Meads ◽  
Maria D Coelho Siqueira Silva ◽  
Praneeth Reddy Sudalagunta ◽  
...  

Introduction: Despite some long-term remissions, eventual drug resistance in most patients remains a critical obstacle in the treatment of multiple myeloma (MM). The development of new drugs/drug combinations with novel mechanisms of action are needed for continued improvement in patient outcomes. Initiation of tumor cell death via activation of the intrinsic (mitochondrial) and/or extrinsic (death receptor) apoptotic signaling pathways has been shown to be an effective therapeutic strategy in MM. Venetoclax (Ven) is a selective, small-molecule inhibitor of BCL-2 that exhibits clinical activity in MM cells, particularly in patients harboring the t(11;14) translocation. Navitoclax (Nav) is a small-molecule that targets multiple antiapoptotic BCL-2 family proteins, including BCL-XL, BCL-2, and BCL-W to initiate the intrinsic apoptotic pathway. Eftozanermin alfa (Eftoza) is a novel, second generation TRAIL receptor agonist that induces cell death via death receptor pathways and is under investigation in multiple solid and heme malignancies. In addition, the pan-BET inhibitor mivebresib (Miv) and the BDII selective BET inhibitor ABBV-744 have shown synergistic activity with Ven in cell line models of multiple heme malignancies. Results reported here describe ex vivo drug sensitivities and functional genomic analyses of Ven, Nav, Eftoza, Miv, and ABBV-744 alone or in combination with standard-of-care agents, including bortezomib, carfilzomib, panobinostat, daratumumab, or pomalidomide. Methods: A high-throughput ex vivo drug screening assay using a coculture system of bone marrow (BM)-derived MM and stromal cells was used to assess the sensitivity of MM patient tumor cells (Figure 1A). Paired whole exome sequencing (WES) and RNA sequencing (RNA-seq) analyses were performed. Results: Primary MM patient specimens (n=52) were evaluated in the ex vivo platform, including treatment-naïve, early relapse (1-3 prior lines), and late relapse (4-8 prior lines) patients treated with proteasome inhibitors, immunomodulatory drugs, and monoclonal antibodies. As expected, t(11;14)-positive MM patient specimens were more sensitive than wildtype to Ven ex vivo (D AUC, -18.6, P=0.002), however MM cells harboring amp(1q) were more resistant than wildtype (D AUC, +5.07, P=0.032), suggesting MCL1 (1q21 gene locus) is a key resistance factor to Ven single-agent activity in MM. Gene set enrichment analysis identified B-cell receptor signaling (normalized enrichment score (NES), 1.96, adjusted P=0.010) and MYC pathway (NES, 1.95, adjusted P=0.010) overexpression as predictors of increased sensitivity to Ven ex vivo. A t(11;14) gene expression signature was also generated using a penalized regression model approach in an additional MMWG/ORIEN MM patient cohort (n=155). The t(11;14) predictive gene expression signature was confirmed by correlation with Ven AUC in the ex vivo model. Additional pathway analyses were performed to identify potential predictive markers of sensitivity/resistance for each single agent and drug combination. Although ex vivo activity of Nav was higher in t(11;14) specimens compared to non-t(11;14) (D AUC, -17.8, P=0.011), ex vivo activity in non-t(11;14) specimens was also observed, indicating additional anti-MM activity by cotargeting of BCL-XL and BCL-2. Both Miv and ABBV-744 showed single-agent activity ex vivo, however Miv demonstrated higher activity (median LD50=88.4nM), suggesting that pan-BET inhibition is more effective than BDII-specific BET inhibition in MM. Finally, a novel drug-combination effect analysis was used that identified novel synergistic ex vivo combinations including Ven and panobinostat (P=0.0013) and Eftoza with bortezomib (P=1.8E-7) or carfilzomib (P=7E-4). Additionally, single-agent induction of macrophage-mediated phagocytosis was observed in both Ven and daratumumab, which was synergistic when the 2 drugs were combined (Figure 1B). Conclusion: An ex vivo functional genomic screen of MM patient specimens demonstrated the usefulness of this approach to identify candidate drugs and potential predictive biomarkers for continued evaluation in clinical trials. This approach confirmed known mechanisms of drug sensitivity and identified new ones, including a novel characterized immune-mediated synergy between Ven and daratumumab, and potential combination strategy for Eftoza and proteasome inhibitors. Figure 1 Disclosures Siqueira Silva: Karyopharm: Research Funding; NIH/NCI: Research Funding; AbbVie: Research Funding. Kulkarni:M2GEN: Current Employment. Mitchell:AbbVie: Other: payment for bioinformatics analysis, Research Funding; M2GEN: Current Employment, Research Funding. Dai:Cygnal Therapeutics: Current Employment; M2GEN: Ended employment in the past 24 months. Hampton:M2GEN: Current Employment. Lu:AbbVie: Current Employment, Current equity holder in publicly-traded company. Modi:AbbVie: Current Employment, Other: may own stock or stock options. Motwani:AbbVie: Current Employment, Current equity holder in publicly-traded company. Harb:AbbVie: Current Employment, Other: may hold stock or stock options. Ross:AbbVie: Current Employment, Current equity holder in publicly-traded company. Shain:Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; GlaxoSmithKline: Speakers Bureau; Sanofi/Genzyme: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Karyopharm: Research Funding, Speakers Bureau; AbbVie: Research Funding; Takeda: Honoraria, Speakers Bureau; Janssen: Honoraria, Speakers Bureau; Amgen: Speakers Bureau; Adaptive: Consultancy, Honoraria; BMS: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. OffLabel Disclosure: While this is a preclinical study, venetoclax for treatment of multiple myeloma is not an approved indication


Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 29-30
Author(s):  
Kenneth H. Shain ◽  
Rafael Renatino-Canevarolo ◽  
Mark B. Meads ◽  
Praneeth Reddy Sudalagunta ◽  
Maria D Coelho Siqueira Silva ◽  
...  

Introduction. Multiple myeloma (MM) is an incurable plasma cell malignancy with a growing list of anti-MM therapeutics. However, the development of predictive biomarkers has yet to be achieved for nearly all MM therapeutics. Selinexor (SELI), a nuclear export inhibitor targeting exportin 1 (XPO1), has been approved with dexamethasone (DEX) in penta-refractory MM. Clinical studies investigating promising SELI- 3 drug combinations are ongoing. Here, we have investigated potential synergistic combinations of SELI and anti-MM agents in terms of ex vivo sensitivity, as well as paired RNAseq and WES to identify companion biomarkers. Methods. MM cells isolated from fresh bone marrow aspirates were tested for drug sensitivity in an organotypic ex vivo drug sensitivity assay, consisting of co-culture with stroma, collagen matrix and patient-derived serum. Single agents were tested at 5 concentrations, while two-drug combinations were tested at fixed ratio of concentrations. LD50 and area under the curve (AUC) were assessed during 96h-exposure as metrics for drug resistance. Drug synergy was calculated as a modified BLISS model. Matching aliquots of MM cells had RNAseq and WES performed through ORIEN/AVATAR project. Geneset enrichment analysis (GSEA) was conducted using both AUC and LD50 as phenotypes for single agents and combinations. Both curated pathways (KEGG and cancer hallmarks) and unsupervised gene clustering were used as genesets. Student t-tests with multiple test correction were used to identify non-synonymous mutations in protein coding genes associated with single agent or combination AUC. Results. For this analysis, a cohort of specimens from 103 patients (48% female, 4% Hispanic, 11% African American) was tested with SELI and/or DEX. with a median of 2 lines of therapy (0-12). A smaller cohort of 37 have been examined with SELI, pomalidomide (POM), elotuzumab (ELO) and daratumumab (DARA). Within this cohort we observed synergy between SELI and DEX, POM and ELO as shown in Figure 1. The volcano plot illustrates the number of samples, maximum drug concentration, as well as magnitude (x- axis) and significance (y- axis) of synergy. Although the SELI-DARA combination trended toward synergy, statistical significance was not achieved. To identify molecular mechanisms and biomarkers associated with sensitivity to SELI and SELI- combinations, we investigated paired RNAseq and WES with ex vivo sensitivity. Initially, we conducted GSEA on two cohorts of primary MM samples tested with SELI alone at 5µM (n=53) and 10µM (n=50). Cell adhesion (KEGG CAMS), inflammatory cytokines (KEGG ASTHMA), and epithelial mesenchymal transition (HALLMARK EMT) were associated with resistance in both cohorts, while the HALLMARK MYC TARGETS was associated with sensitivity (FWER p&lt;0.05). Mutational analysis identified 46 gene mutations associated with SELI resistance and 100 associated with sensitivity at 5µM, and 87 and 27 mutations associated with SELI resistance and sensitivity, respectively, at 10µM. Two gene mutations were identified in both cohorts: BCL7A, involved in chromatin remodeling, was associated with sensitivity and CEP290, a microtubule binding protein, associated with resistance (p&lt;0.05). Analysis of both gene sequences (NetNES 1.1) identified nuclear export signal (NES) residues suggesting these may be XPO1 cargo. Additionally, translocation t(11;14) was associated with SELI resistance in the 5µM cohort (p=0.037). The completed set of 50 specimens ex vivo, RNAseq and WES analysis will be mature and updated for the potential presentation at ASH. Conclusions. We observed ex vivo synergy between SELI and DEX, POM and ELO. Molecular analysis of matched ex vivo drug sensitivity, transcriptome and mutational profile identified environment-mediated drug resistance pathways positively correlated with SELI single agent resistance, as well as MYC regulated genes associated with ex vivo sensitivity. We also identified a list of mutations associated with SELI drug resistance and sensitivity, with special emphasis on two novel NES-containing genes, CEP290 and BCL7A. The next step of this project is to analyze transcriptional and mutational patterns associated with ex vivo synergy in the combinations here described, as putative biomarkers for future clinical investigation. Disclosures Shain: Amgen: Speakers Bureau; Adaptive: Consultancy, Honoraria; Karyopharm: Research Funding, Speakers Bureau; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; GlaxoSmithKline: Speakers Bureau; Janssen: Honoraria, Speakers Bureau; BMS: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Sanofi/Genzyme: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Takeda: Honoraria, Speakers Bureau; AbbVie: Research Funding. Kulkarni:M2GEN: Current Employment. Zhang:M2GEN: Current Employment. Hampton:M2GEN: Current Employment. Argueta:Karyopharm: Current Employment. Landesman:Karyopharm Therapeutics Inc: Current Employment, Current equity holder in publicly-traded company. Siqueira Silva:AbbVie: Research Funding; NIH/NCI: Research Funding; Karyopharm: Research Funding.


Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 3127-3127
Author(s):  
Magali Le Garff-Tavernier ◽  
Claire Quiney ◽  
Lauren Veronese ◽  
Florence Nguyen-Khac ◽  
Pauline Robbe ◽  
...  

Abstract Introduction: The 17p deletion (del(17p)) resulting in loss of the TP53 gene is associated with impaired response to genotoxic agents and has an impact on PFS following BTK inhibitor and possibly also venetoclax. The del(17p) usually coincides with TP53 mutation, leading to the impairment of the p53-associated pathway. Sole TP53 mutations appear also associated with poor outcome in prospective trials. The iwCLL guidelines recommend to look for del(17p) and TP53 mutation before each line of treatment. An original approach is the functional assay, which highlights the functional abnormalities of p53 whether it is a TP53 gene disruption (del(17p) and/or TP53 mutation) or a defect of another actor in the p53 pathway. We aim to validate this functional assay on a prospective trial and to study the impact of p53 status on the clinical response regardless of the biological method. Methods: Clinical and biological data were collected from 74 CLL patients (pts) enrolled in the BOMP phase II trial of the French Innovative Leukemia Organization (FILO) (NCT01612988) evaluating 6 monthly courses of BOMP including bendamustine, ofatumumab and high dose methylprednisolone in fit pts with relapsing CLL. In addition to conventional screening, we focused on p53 evaluation at time of inclusion. FISH analysis for del(17p) was done with a 5% cut-off for positive result. TP53 gene mutation screening was performed by Sanger sequencing of the coding region (exons 2-11). A targeted NGS screening (19 genes including TP53, Illumina MiSeq) was also performed. The p53 functional status was determined by a flow cytometry assay based on induction of p53 and p21 protein expression after etoposide and nutlin-3 exposition, as previously described (Le Garff-Tavernier M., 2011), which allows the detection of 3 types of p53 dysfunction (A, B and C), irrespective of an ATM default. Clinical response was evaluated by PFS, OS and TTNT Kaplan-Meier analyses (MedCalc stat). Results: Data from the whole cohort are available. Median age was 64 yrs. Pts had a median of 1 (1-3) lines of treatment previous to this trial, including FCR in >90%. Concerning p53 evaluation, a del(17p) was found in 30% of cases by FISH (22/73 pts with a median of 68% positive cells, range 10-98). The percentage of p53 abnormalities increased to 41% when TP53 mutations were screened (30/73 pts with 1 to 8 mutations, median VAF 10 %, range 1.6-90). Results from the p53 functional assay were available for 69 pts showing the highest level of p53 abnormalities. Indeed, p53 dysfunction was observed in 48% of pts (33/69) including type A (n=11), type B (n=17) and type C (n=5) dysfunction. Thus, the sensitivity and specificity of the p53 functional assay to detect pts with del(17p) and/or TP53 mutation were of 87% and 84% respectively (n=68 pts for which the 3 tests were available). Interestingly, discordant results were observed in 10 pts: 4 pts with a functional p53 despite a TP53 gene disruption (3 with TP53 mutation only and 1 with del(17p) only) and conversely 6 pts with a p53 dysfunction (all with type B dysfunction) but without any TP53 gene disruption, suggesting alternative alterations of the p53 pathway. The only similarity for those latter pts is the occurrence of at least one ATM abnormality (del(11q) and/or ATM mutation). The combination of the 3 assays defines 3 groups: (1) "intact p53" (no TP53 disruption and functional p53, n=32), (2) "altered p53" (TP53 disruption and p53 dysfunction, n=26) and (3) "discordant p53" (n=10). PFS and TTNT were higher in pts without (n=38) compared to those with TP53 gene disruption (n=30) (p=0.04 for both). The OS, even though not significant, presented a similar trend. When considering the functional status, a similar profile is observed but with a better discrimination between pts with normal p53 function (n=36) and pts with p53 dysfunction (n=32) (p=0.002 and 0.003, respectively). Combining the 3 assays, PFS and TTNT of the group 3 "discordant p53" profiles' appeared intermediate (Figure 1). Conclusion: This study shows that a p53 functional analysis can predict with an acceptable sensitivity the presence of a TP53 gene disruption. Interestingly, this functional assay coupled with cytogenetic and mutational screening could reveal a sub-group of pts with discordant results for which PFS and TTNT appeared intermediate. Evaluation of other discordant cases is mandatory to confirm these results and could lead to a wider use of this global functional approach. Figure 1. Figure 1. Disclosures Feugier: Abbvie: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Roche: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Gilead: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Sylvain:Gilead: Other: scientific advisor board. Schuh:Giles, Roche, Janssen, AbbVie: Honoraria. Guieze:abbvie: Honoraria; janssen: Honoraria; gilead: Honoraria. Leblond:Abbvie: Consultancy, Honoraria, Other: Travel, Accommodations, Expenses, Speakers Bureau; Roche: Consultancy, Honoraria, Other: Travel, Accommodations, Expenses, Speakers Bureau; Janssen: Consultancy, Honoraria, Speakers Bureau; Gilead: Honoraria, Speakers Bureau; Sandoz: Honoraria; Amgen: Honoraria.


Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 1-2
Author(s):  
Brian T. Hill ◽  
Deepa Jagadeesh ◽  
Alex V. Mejia Garcia ◽  
Robert M. Dean ◽  
Omer N. Koc ◽  
...  

INTRODUCTION: Lenalidomide and Rituximab (R2) is an effective frontline treatment regimen for patients (pts) with indolent B-cell lymphoma including follicular lymphoma (FL). Recent phase III data from the RELEVANCE trial comparing R2 to traditional chemoimmunotherapy showed that this regimen is generally well-tolerated and has favorable clinical efficacy [61% overall response, 53% CR rate, 77% 3-year progression free survival (PFS) (Morschhauser, et al)]. Proteasome inhibitors such as bortezomib disrupt NF-KB signaling and have shown clinical activity in indolent NHL. Although randomized trials have failed to demonstrate clinical benefit of adding bortezomib to standard chemoimmunotherapy regimen bendamustine + rituximab (BR) for frontline treatment of FL, the addition of proteasome inhibitors to lenalidomide is a mainstay of treatment for plasma cell neoplasms due to synergistic antitumor effect. The oral proteasome inhibitor ixazomib has less potential for dose-limiting neuropathy than bortezomib, making it an attractive option to incorporate into the R2 regimen. We sought to investigate the safety and efficacy of the addition of ixazomib to R2 for FL and indolent B-cell NHL through a phase I clinical trial of this combination for patients with high risk disease. METHODS: Adult (age ≥ 18) pts with untreated FL or other indolent lymphoma, adequate organ function and performance status were enrolled. To be enrolled, FL patients were required to have stage 2, 3 or 4 disease, with high tumor burden by GELF criteria and/or FLIPI score of 3-5. During 3 x 3 dose escalation, ixazomib was given at a dose of 2 mg (n=3), 3 mg (n=3) or 4 mg (n=12) PO on days 1, 8, and 15 with lenalidomide 20 mg PO on days 1-21 every 28 days. Rituximab was administered at standard dosing on days 1,8,15,21 for cycle 1, once every 28 days for cycles 2-6 and then once every 2 months for cycles 7-12. Treatment was continued for 12 cycles and no maintenance therapy was specified per protocol. All pts received low dose aspirin for venous thromboembolism prophylaxis and acyclovir for prevention of VZV reactivation. Response assessments by CT were performed after cycle 3 and 6 and by PET/CT at the end-of-treatment (cycle 12). RESULTS: 20 pts were enrolled and 18 were eligible for treatment [15 FL (14 grade 1-2, 1 grade 3A), 2 splenic marginal zone lymphoma and 1 nodal marginal zone lymphoma].The median age of treated pts was 61 (range 40-83) years old. 55% of patients were female. Stage at diagnosis was II (n =2), III (n = 4) and IV (n = 12). For FL pts, FLIPI scores at enrollment were low (n=2), intermediate (n = 5) and high risk (n=8) and FLIPI-2 scores were low (n=3), intermediate (n = 2) and high risk (n=10). There were no dose limiting toxicities during 3 x 3 dose escalation. Grade (G) 1/2 and G3/4 treatment-related hematologic adverse events (AEs) included neutropenia (6%, 28%), thrombocytopenia (16.7%, 5.6%) and anemia (16.7%, 0%). The most common treatment-related AEs included nausea/vomiting (44% G1, 11% G2), diarrhea, (50% G1, 22% G2, 5% G3), rash (33% G1, 6% G2, 11%G3), peripheral neuropathy (22% G1, 6% G2), myalgia/arthralgia (17% G1, 17% G2), and infection (33% G2, 17% G3). There was one pulmonary embolism and no cases of febrile neutropenia. As of June, 2020, median follow-up among living pts was 21 months. 4 pts discontinued treatment due to disease progression; 2 with transformation to aggressive lymphoma. Of the transformed cases, one subject died on study due to progression disease and one developed CNS disease on study treatment but proceeded to autologous stem cell transplant. The best overall response rate was 61.2% [55.6% CR, 5.6% PR): 22.2% had stable disease and 16.7% had disease progression. 18-month Kaplan-Meier estimates of PFS and overall survival were 71% and 94%, respectively (Figure). CONCLUSION: R2 can safely be combined with at the target dose of 4 mg of ixazomib for treatment-naïve indolent NHL patients. Non-hematologic AEs were generally consistent with known toxicity of each component of therapy. CR rate and PFS were was similar to the outcomes reported in the RELEVANCE trial despite enrolling high risk patient. R2 may serve as backbone for future studies of novel treatment combinations for high risk FL after thorough evaluation for occult transformation to aggressive lymphoma. Disclosures Hill: Abbvie: Consultancy, Honoraria, Research Funding; Genentech: Consultancy, Honoraria, Research Funding; Novartis: Consultancy, Honoraria; BMS: Consultancy, Honoraria, Research Funding; Celgene: Consultancy, Honoraria, Research Funding; Takeda: Research Funding; Karyopharm: Consultancy, Honoraria, Research Funding; AstraZenica: Consultancy, Honoraria, Research Funding; Kite, a Gilead Company: Consultancy, Honoraria, Research Funding; Beigene: Consultancy, Honoraria, Research Funding; Pharmacyclics: Consultancy, Honoraria, Research Funding. Jagadeesh:MEI Pharma: Research Funding; Regeneron: Research Funding; Seattle Genetics: Membership on an entity's Board of Directors or advisory committees, Research Funding; Debiopharm Group: Research Funding; Verastem: Membership on an entity's Board of Directors or advisory committees. Caimi:Celgene Corp: Other: Incyte Corporation - Ownership - Pharmacyclics, Inc. - Ownership - Celgene Corp. - Other, Speakers Bureau; ADC Therapeutics: Research Funding; Genentech: Research Funding. Smith:Takeda: Research Funding; Celgene: Research Funding. OffLabel Disclosure: Ixazomib is off-label for treatment of NHL


Blood ◽  
2009 ◽  
Vol 114 (22) ◽  
pp. 1127-1127
Author(s):  
Dong-Wook Kim ◽  
Camille Granvil ◽  
Eren Demirhan ◽  
John Reynolds ◽  
Yu Jin ◽  
...  

Abstract Abstract 1127 Poster Board I-149 Background In the TOPS study, IM trough levels (Cmin) were collected from different race groups, mainly Caucasian and Asian, but also Black and others. Inter-ethnic differences in the PK of a drug are known to be important factors accounting for inter-individual variation in drug responsiveness. This analysis reports the comparison between Caucasian and Asian CML patients (pts) treated at doses of 400 mg QD and 400 mg bid (800 mg daily) of IM Cmin on Day 29 of initial treatment, clinical response, safety and tolerability. Methods Steady state IM Cmin on Day 29 and clinical response and safety data obtained during the first 12 months (mos) of treatment were obtained from pts randomized 2:1 to 800 mg or 400 mg daily IM. The steady-state Cmin was defined as predose concentration collected approximately within ±3 hours of the scheduled dosing time on Day 29. The associations of race with the rates of major molecular response (MMR) and complete cytogenetic response (CCyR) were evaluated. Correlation of IM exposure with clinical response (MMR and CCyR) was assessed by grouping pts into quartiles based on their measured IM Cmin levels at Day 29. The safety endpoint for each pt was the presence or absence of an adverse event (AE) of grade 3 or higher in the first 12 mos from the first dose. Results IM Cmin levels were available from 229 pts in TOPS including 54 Caucasians, 18 Asians, and 14 Black and others at 400 mg (total 86) and 103 Caucasians, 29 Asians, and 11 Black and others at 800 mg (total 143). For the first 12 mos, the means of the average dose intensities for Asian (mean [range], 362 [267-400] in 400 mg and 666 [226-800] in 800 mg) were not significantly different from Caucasian (386 [204-597] in 400 mg and 666 [289-800] in 800 mg) (P=0.070 and P=0.995 for the 400 mg and 800 mg arms, respectively). Mean (± SD) of IM Cmin levels (ng/mL) with respect to race are shown in Table 1. IM Cmin was slightly over-proportional to dose and showed large interpatient variability (CV=42-60%) for both dose groups regardless of the race group. In the lower quartile Cmin group (Cmin<1290 ng/mL), the differences in CCyR and MMR rates between Asian and Caucasian pts were significant (P=0.031 and P=0.022 respectively), which was probably due to a higher rate of dose interruptions in the 1st 12 mos in Asian pts. A definitive conclusion cannot be drawn due to the small number of Asian pts. Occurrences of at least one grade 3 or 4 adverse event were found to be significantly higher in Asian pts (69% and 75% in the 1st 6 and 12 mos respectively) compared to Caucasian pts (53% and 57% in the 1st 6 and 12 mos respectively) (P=0.028 and P=0.008 respectively). Conclusion The results of this analysis from TOPS show that IM Cmin levels were similar between Caucasian and Asian CML pts in each treatment arm. There were no major differences in efficacy, as measured by MMR and CCyR rates by 12 mos, between Asian and Caucasian pts. There were no unexpected differences in patterns of AEs between Caucasian and Asian pts; however, occurrences of one or more grade 3 AEs were higher in Asian. Further analysis on a larger group of CML pts will be needed to evaluate the impact of AE rate differences between Caucasian and Asian pts. Disclosures Kim: Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; BMS: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Wyeth: Research Funding. Granvil:Novartis: Employment. Demirhan:Novartis: Employment. Reynolds:Novartis: Employment. Jin:Novartis: Employment. Wang:Novartis: Employment, Equity Ownership. Baccarani:Novartis Pharma: Consultancy, Honoraria, Research Funding, Speakers Bureau; Bristol-Mayer Squibb: Consultancy, Honoraria, Research Funding, Speakers Bureau. Cortes-Franco:Novartis: Honoraria, Research Funding, Speakers Bureau; Wyeth: Honoraria, Research Funding, Speakers Bureau; BMS: Honoraria, Research Funding, Speakers Bureau. Druker:OHSU patent #843 - Mutate ABL Kinase Domains: Patents & Royalties; MolecularMD: Equity Ownership; Roche: Consultancy; Cylene Pharmaceuticals: Consultancy; Calistoga Pharmaceuticals: Consultancy; Avalon Pharmaceuticals: Consultancy; Ambit Biosciences: Consultancy; Millipore via Dana-Farber Cancer Institute: Patents & Royalties; Novartis, ARIAD, Bristol-Myers Squibb: Research Funding. Hughes:Bristol-Myers Squibb: Advisor, Honoraria, Research Funding; Novartis: Advisor, Honoraria, Research Funding. Guilhot:Novartis: Consultancy, Honoraria, Research Funding; BMS: Consultancy, Honoraria.


Blood ◽  
2009 ◽  
Vol 114 (22) ◽  
pp. 3876-3876 ◽  
Author(s):  
Andrzej J Jakubowiak ◽  
William Bensinger ◽  
David Siegel ◽  
Todd M. Zimmerman ◽  
Jan M. Van Tornout ◽  
...  

Abstract Abstract 3876 Poster Board III-812 Background Elotuzumab is a humanized monoclonal IgG1 antibody directed against CS1, a cell surface glycoprotein, which is highly and uniformly expressed in multiple myeloma (MM). In mouse xenograft models of MM, elotuzumab demonstrated significantly enhanced anti-tumor activity when combined with bortezomib compared to bortezomib alone (Van Rhee et al., Mol. Cancer Ther., in press, 2009). This phase 1/2 trial will determine the maximum tolerated dose (MTD), overall safety, pharmacokinetics (PK) and clinical response of elotuzumab in combination with bortezomib in patients with relapsed MM following 1-3 prior therapies. Methods The study consists of 4 escalating cohorts of elotuzumab (2.5 mg/kg to 20 mg/kg) administered on Days 1 and 11 and bortezomib (1.3 mg/m2) administered on Days 1, 4, 8 and 11 of a 21-day cycle. Patients with progressive disease at the end of Cycle 2 or 3 also receive oral dexamethasone (20 mg) on Days 1, 2, 4, 5, 8, 9, 11 and 12 of each subsequent cycle. Patients with stable disease or better at the end of 4 cycles will continue treatment for 6 or more cycles unless withdrawn earlier due to unexpected toxicity or disease progression. Key entry criteria: age ≥ 18 years; confirmed diagnosis of MM and documentation of 1 to 3 prior therapies; measurable disease M-protein component in serum and/or in urine; and no prior bortezomib treatment within 2 weeks of first dose. Results To date, a total of 16 MM patients with a median age of 64 years have been enrolled in the study. The median time from initial diagnosis of MM was 3.5 years and patients had received a median of 2 prior MM treatments. Patients have been treated in four cohorts; 3 each in 2.5, 5 and 10 mg/kg elotuzumab cohorts, and 7 in the 20 mg/kg elotuzumab cohort. No dose limiting toxicity (DLT) was observed during the first cycle of the study and the MTD was not established. Five SAEs have been reported in four patients in later treatment cycles; two events, chest pain and gastroenteritis, occurring in one patient, were considered elotuzumab-related. Other SAEs include grade 3 sepsis, vomiting, pneumonia and grade 2 dehydration. The most common AEs reported include Grade 1-3 diarrhea, constipation, nausea, fatigue, thrombocytopenia, neutropenia, anemia and peripheral neuropathy. The best clinical response (EBMT criteria) for the 16 patients who have received at least two cycles of treatment is shown in the table below. Preliminary PK analysis suggests a serum half-life of 10-11 days at higher doses (10 and 20 mg/kg). Preliminary analysis of peripheral blood mononuclear cells and bone marrow of patients on study indicates that objective responses in the study correlate well with complete saturation of CS1 sites by elotuzumab on bone marrow plasma and NK cells. Conclusions The combination of elotuzumab with bortezomib has a manageable adverse event profile and shows promising preliminary efficacy with ≥PR in 44% and ≥MR in 75% of all enrolled patients. Accrual is ongoing in the expanded 20 mg/kg cohort. Updated safety, efficacy, and PK data will be presented at the meeting. Disclosures: Jakubowiak: Millennium: 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; Centocor Ortho Biotech: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Exelixis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; BMS: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees. Off Label Use: Bortezomib in combination with elotuzumab for the treatment of relapsed/refractory multiple myeloma. Bensinger:Millennium: Membership on an entity's Board of Directors or advisory committees. Siegel:Millennium: Speakers Bureau; Celgene: Speakers Bureau. Zimmerman:Millennium: Speakers Bureau; Centecor: Speakers Bureau. Van Tornout:BMS: Employment. Zhao:Facet Biotech: Employment. Singhal:Facet Biotech: Employment. Anderson:Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Millennium: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding.


Blood ◽  
2009 ◽  
Vol 114 (22) ◽  
pp. 2865-2865 ◽  
Author(s):  
Maurizio Zangari ◽  
Latha Polavaram ◽  
Fenghuang Zhan ◽  
Guido J. Tricot ◽  
Ravi Vij ◽  
...  

Abstract Abstract 2865 Poster Board II-841 BACKGROUND: The ubiquitin-proteasome pathway, which has been shown to be an essential cellular degradative system in myeloma cells, can also regulate bone formation through its effects on osteoblast differentiation. Retrospective analysis of variation of ALP during treatment with bortezomib indicates a close correlation between myeloma response and serum ALP levels which multiple studies have shown to be of bone origin. To determine if this effect is a class effect of proteasome inhibitors (PIs), this retrospective study analyzed variation of ALP in relationship to myeloma response during treatment with carfilzomib, the first in a new class of selective epoxyketone PIs that has demonstrated encouraging safety and efficacy in two phase 2 studies of relapsed or refractory myeloma patients. METHODS: Retrospective analysis of serum ALP was performed on relapsed or refractory myeloma patients enrolled on two phase 2 studies (PX-171-003 and PX- 171-004) evaluating the safety and efficacy of single agent carfilzomib. We analyzed data from 38 patients in the first cohort of the PX-171-003 study, a relapsed and refractory myeloma trial for patients who have received ≥ 3 prior therapies including bortezomib and an IMiD and 29 patients in PX-171-004, a relapsed or refractory myeloma trial that included bortezomib naïve patients. All patients received 20 mg/m2 of carfilzomib on Days 1, 2, 8, 9, 15, and 16 of a 28-day cycle. RESULTS: Seventy-seven patients were enrolled. The median age was 63 years with a median time since diagnosis of 4.6 years, 52% were male, 84.% had relapsed after autologous transplants, 82.% were previously exposed to bortezomib, and 92% were previously exposed to an IMiD. Sixty seven patients with ALP data were evaluable for response. In PX-171-003 the ORR (≥PR) was 18% and the clinical benefit response (CBR; ≥MR) was 26%, while in PX-171-004 the ORR was 35.5% overall and 57% in bortezomib naive patients. ALP increment from baseline, which was most evident during the second cycle of treatment, was statistically different in patients who achieved ≥VGPR compared to all others on Days 1 (P=0.0049) and 8 (P=0.006) of Cycle 2. In all patients achieving a VGPR or better, ALP increased more than 15 units per liter at Cycle 2 Day 1 over baseline An ALP increase over the same period of time was seen in 26 %, 13%, and 11% of patients achieving PR, MR, and SD, respectively. None of the patients with progressive disease exhibited a similar increase. Our study indicates that response first assessed on Day 15 of Cycle 1 parallels the ALP elevation which returned to baseline levels at the end of Cycle 3. CONCLUSIONS: This retrospective analysis on a subset of patients in these ongoing phase 2 studies of single agent carfilzomib in relapsed or refractory multiple myeloma suggests that elevation in ALP may be associated with best response. Taken with previous publications describing bortezomib treatment, these results suggest that this specific anabolic bone phenomenon could be a class effect of proteasome inhibitors. These phase 2 studies are ongoing with a higher dose of carfilzomib (27 mg/m2) being evaluated. The data from this small subset analysis suggests that further exploration of this relationship is warranted. Disclosures: Zangari: Milllennium: Honoraria, Research Funding; Novartis: Research Funding; Celgene: Honoraria; OrthoBiotech: Honoraria; Optum Health: Honoraria; Educational Concepts Group, LLC: Membership on an entity's Board of Directors or advisory committees. Vij:Proteolix: Consultancy, Research Funding. Jagannath:Millennium: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Honoraria; Merck: Honoraria. Siegel:Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Millennium: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Stewart:Millennium: Consultancy, Research Funding; Proteolix: Consultancy, Honoraria; Novartis: Consultancy, Honoraria; Celgene: Honoraria. Wang:Proteolix: Honoraria, Research Funding. Belch:Ortho Biotech: Honoraria, Research Funding. Jakubowiak:Millennium Pharmaceuticals, Inc.: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Centocor Ortho Biotech: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Exelixis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Bristol-Myers-Squibb: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Trudel:Celgene: Honoraria, Speakers Bureau; Ortho Biotech: Honoraria. Bahlis:Celgene: Honoraria, Speakers Bureau; Ortho Biotech: Honoraria, Speakers Bureau. Lonial:Celgene: Consultancy; Millennium: Consultancy, Research Funding; BMS: Consultancy; Novartis: Consultancy; Gloucester: Research Funding. Singhal:Celgene: Speakers Bureau; Millennium: Speakers Bureau.


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