Biomarker Correlation with Outcomes in Patients with Relapsed or Refractory Multiple Myeloma on a Phase I Study of Everolimus in Combination with Lenalidomide,

Blood ◽  
2011 ◽  
Vol 118 (21) ◽  
pp. 3966-3966 ◽  
Author(s):  
Andrew J. Yee ◽  
Anuj K. Mahindra ◽  
Paul G. Richardson ◽  
Diana D. Cirstea ◽  
Tyler A. Scullen ◽  
...  
Keyword(s):  
Gene Expression ◽  
Multiple Myeloma ◽  
T Cell ◽  
Board Of Directors ◽  
Research Funding ◽  
Mtor Pathway ◽  
T Cell Subsets ◽  
Advisory Committees ◽  
Refractory Multiple Myeloma ◽  
Downstream Target

Abstract Abstract 3966 Background. Lenalidomide plus dexamethasone is approved for the treatment of relapsed and/or refractory multiple myeloma following prior therapy. Everolimus, an oral mTOR inhibitor, has been studied as a single agent in multiple myeloma but does not have significant activity. Based on previous preclinical studies showing synergistic anti-myeloma activity of mTOR inhibitors when combined with lenalidomide, we studied this combination as a non-steroid containing oral regimen in advanced multiple myeloma. In order to help determine the molecular mechanisms of response, we comprehensively assessed patient samples using gene expression analysis, western blotting, and immunohistochemistry of the mTOR pathway as well as cytokine analysis and measurement of T cell subsets. Methods. Patients with relapsed and refractory multiple myeloma were assigned to lenalidomide and everolimus for 21 days out of a 28 day cycle until disease progression or unacceptable toxicity (NCT00729638). We measured levels of p70S6K phosphorylated protein in peripheral blood mononuclear cells by western blotting before and during treatment. Immunohistochemical analysis for target proteins of the mTOR/AKT pathway was performed on bone marrow (BM) aspirates. Gene expression of CD138+ selected BM aspirates was analyzed on Affymetrix expression arrays prior to treatment. IGF-1 and IL-6 cytokine levels were determined by ELISA. T cell subsets were defined immunophenotypically over the course of treatment. Results. Twenty-six patients were evaluable for toxicity. The MTD was lenalidomide 15 mg and everolimus 5 mg for 21 days with a 7 day rest period. Nineteen patients finished at least two cycles of treatment and were evaluable for response. The overall response (OR) was 58% (1 CR + 3 PR + 7 MR). Three patients had SD and 5 patients had PD. The median progression free survival was 6.3 month at a median follow-up of 8.2 months. Biomarker data demonstrated that treatment with everolimus and lenalidomide consistently downregulated protein expression of phosphorylated p70S6K, a downstream target of mTOR. Microarray gene expression data was available for 12 patients, including 9 responders (MR, PR, SD) and 3 non-responders (PD). Gene set enrichment analysis showed enrichment for genes in the mTOR pathway gene set among the responders (p = 0.033, FDR 0.026). At the individual gene level, expression of members of the mTOR pathway, e.g. IGF1 (p = 0.034, FDR = 0.20) and RICTOR (p = 0.016, FDR = 0.15) was significantly higher in responding patients than non-responding patients. IHC for p-Akt (Ser 473) was evaluable in 10 patients, and 7 patients scored positively for pAkt expression. Given the small numbers, we were unable to correlate pAkt expression with response. DEPTOR was evaluable in 12 cases and strongly expressed in the majority of tumors. Quantification of T cell subsets was available for 25 patients. Treatment with everolimus and lenalidomide did not affect populations of CD4+ or CD8+ T cells or NK cells. Of the patients where IGF-1 levels were available, IGF-1 levels rose in the non-responding patients (N = 2) over the course of treatment; conversely, IGF-1 levels had an initial peak followed by decrease at time of best response in 4 of 5 responders. There was no difference in IL-6 levels between responders and non-responders. Conclusions. The combination of lenalidomide and everolimus showed durable responses in a heavily pretreated population. The doses of lenalidomide and everolimus used in this phase I study inhibited the downstream target of mTOR, p70S6K; was active in cases of constitutive mTOR activation; did not alter T cell subsets; and modulated IGF-1, but not IL-6 levels. With confirmation in larger patient numbers, this analysis may serve as a framework for guiding patient selection for future clinical trials investigating the role of mTOR inhibition in multiple myeloma. Disclosures: Off Label Use: The combination of everolimus and lenalidmoide is an off-label use for multiple myeloma. Richardson:Millennium Pharmaceuticals, Inc.: Consultancy; Celgene: Consultancy; Johnson & Johnson: Consultancy. Hideshima:Acetylon: Consultancy. Ghobrial:Noxxon: Research Funding; Bristol-Myers Squibb: Research Funding; Millennium: Research Funding; Noxxon: ; Millennium: ; Celegene: ; Novartis:. Munshi:Celgene: Consultancy; Millenium: Consultancy; Novartis: Consultancy; Onyx: Consultancy. Anderson:Celgene: Membership on an entity's Board of Directors or advisory committees; Millennium: Membership on an entity's Board of Directors or advisory committees; Onyx: Membership on an entity's Board of Directors or advisory committees; Merck: 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; Novartis: Membership on an entity's Board of Directors or advisory committees; Acetylon: Membership on an entity's Board of Directors or advisory committees. Raje:Celgene: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees; Millenium: Membership on an entity's Board of Directors or advisory committees; Astra Zeneca: Research Funding; Amgen: Membership on an entity's Board of Directors or advisory committees; Acetylon: Research Funding.

Updated Results of a Phase I Study of RAD001 In Combination with Lenalidomide In Patients with Relapsed or Refractory Multiple Myeloma with Pharmacodynamic and Pharmacokinetic Analysis

Blood ◽  
2010 ◽  
Vol 116 (21) ◽  
pp. 3051-3051 ◽  
Author(s):  
Anuj Mahindra ◽  
Paul G Richardson ◽  
Parameswaran Hari ◽  
Aliyah R. Sohani ◽  
Jacob P. Laubach ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Board Of Directors ◽  
Research Funding ◽  
Single Agent ◽  
T Cell Subsets ◽  
Oral Steroid ◽  
Pharmacokinetic Analysis ◽  
Advisory Committees ◽  
Refractory Multiple Myeloma ◽  
Grade 3

Abstract Abstract 3051 Background: Lenalidomide (Revlimid®, Len) plus dexamethasone (Dex) is approved for the treatment of relapsed or refractory multiple myeloma (MM) patients following ≥1 prior therapy. RAD001, an mTOR inhibitor has been studied as a single agent in MM, and although well tolerated, did not have single agent activity. Informed by our previous studies demonstrating synergistic anti-MM activity of mTOR inhibitors when combined with Len, we studied this combination to evaluate its safety and activity as a non-steroid containing oral regimen in advanced MM. Methods: Patients with relapsed and refractory MM were assigned to Len and RAD001 to be taken for 21 days of a 28 day cycle (NCT00729638) in a standard 3+3 design. Patients were allowed to continue therapy until disease progression or unacceptable toxicity and were required to receive concomitant anti-thrombotic (aspirin 81 or 325 mg/day) therapy. Peripheral blood and bone marrow samples were collected before and after treatment for pharmacokinetic and pharmacodynamic studies. Results: Twenty-eight patients were registered on the trial between December 2008-December 2009. Two patients were inevaluable because of either rapidly progressive disease or failure to meet eligibility criteria on day 1. Data on 26 patients are therefore available. Pts had received a median of 4 prior lines of treatment.14 pts had received Len previously of which 11 pts had relapsed disease and 3 pts had relapsed/refractory disease. Both cohort 1 (Len: 10mg/day and RAD001: 5mg/every other day ×21 days of 28 day cycle) and 2 (Len: 15mg/day and RAD001: 5mg daily ×21 days of 28 day cycle) required expansion because of grade 3 neutropenia and grade 4 thrombocytopenia. Dose limiting toxicities included grade 4 neutropenia and thrombocytopenia in 2/3 patients in cohort 3 (Len: 20mg and RAD001: 5 mg × 21 days). The maximum tolerated dose (MTD) was therefore declared at 15 mg of len and 5mg of RAD001 for 21 days with a 7 day rest period. Most common (≥10%) Grade 1/2 events included nausea, fatigue, dyspnea, diarrhea, constipation, neuropathy and muscle cramps, all of which proved manageable with supportive care. One patient developed RAD related non-infectious pneumonitis requiring therapy discontinuation. Grade 3/4 adverse events (≥ 5%) included thrombocytopenia (11%) and neutropenia (22%). Nineteen patients completed 2 cycles and were evaluable for response. Median follow up is currently 8.7 months and median PFS is 4.3 months, with 12 patients receiving treatment at MTD. Overall response rate was 68% (13/19) (90% CI: [30-76%]) including CR(1) PR(2), MR(8) and SD(2). Four patients continue on the combination at 13, 14, 15 and 17 months respectively. Pharmacokinetic and pharmacodynamic data including immunohistochemistry for phosphorylated AKT, cytokine profiles, T cell subsets and transcription profile on MM cell pre and post treatment as well as correlation of response with pharmacodynamic studies will be presented. Conclusions: The combination of Len plus RAD001 is a well tolerated regimen with predictable hematological toxicities. Promising responses were noted in this heavily pretreated patient population with advanced MM. This combination thus provides an oral steroid free combination treatment strategy which warrants future evaluation in phase II studies. Disclosures: Richardson: Celgene: Membership on an entity's Board of Directors or advisory committees; Millenium: Membership on an entity's Board of Directors or advisory committees. Ghobrial:Celgene: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees; Millennium Pharmaceuticals, Inc.: Membership on an entity's Board of Directors or advisory committees. Adams:Novartis: Employment. Makrides:Celgene: Employment. Munshi:Millennium Pharmaceuticals: Honoraria, Speakers Bureau. Anderson:Millennium Pharmaceuticals: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau. Raje:Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy; Astra Zeneca: Research Funding; Acetylon: Research Funding; Amgen: Membership on an entity's Board of Directors or advisory committees. Off Label Use: Lenalidomide and RAD 001 for treatment of relapsed and refractory multiple myeloma.

scholarly journals Pre-Existing T Cell Subsets Determine Anti-PD1 Blockade Response in Richter's Transformation

Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 42-43
Author(s):  
Prajish Iyer ◽  
Lu Yang ◽  
Zhi-Zhang Yang ◽  
Charla R. Secreto ◽  
Sutapa Sinha ◽  
...  
Keyword(s):  
T Cells ◽  
T Cell ◽  
Single Cell ◽  
Board Of Directors ◽  
Peripheral Blood ◽  
Research Funding ◽  
Gene Signature ◽  
T Cell Subsets ◽  
Rna Seq ◽  
Advisory Committees

Despite recent developments in the therapy of chronic lymphocytic leukemia (CLL), Richter's transformation (RT), an aggressive lymphoma, remains a clinical challenge. Immune checkpoint inhibitor (ICI) therapy has shown promise in selective lymphoma types, however, only 30-40% RT patients respond to anti-PD1 pembrolizumab; while the underlying CLL failed to respond and 10% CLL patients progress rapidly within 2 months of treatment. Studies indicate pre-existing T cells in tumor biopsies are associated with a greater anti-PD1 response, hence we hypothesized that pre-existing T cell subset characteristics and regulation in anti-PD1 responders differed from those who progressed in CLL. We used mass cytometry (CyTOF) to analyze T cell subsets isolated from peripheral blood mononuclear cells (PBMCs) from 19 patients with who received pembrolizumab as a single agent. PBMCs were obtained baseline(pre-therapy) and within 3 months of therapy initiation. Among this cohort, 3 patients had complete or partial response (responders), 2 patients had rapid disease progression (progressors) (Fig. A), and 14 had stable disease (non-responders) within the first 3 months of therapy. CyTOF analysis revealed that Treg subsets in responders as compared with progressors or non-responders (MFI -55 vs.30, p=0.001) at both baseline and post-therapy were increased (Fig. B). This quantitative analysis indicated an existing difference in Tregs and distinct molecular dynamic changes in response to pembrolizumab between responders and progressors. To delineate the T cell characteristics in progressors and responders, we performed single-cell RNA-seq (SC-RNA-seq; 10X Genomics platform) using T (CD3+) cells enriched from PBMCs derived from three patients (1 responder: RS2; 2 progressors: CLL14, CLL17) before and after treatment. A total of ~10000 cells were captured and an average of 1215 genes was detected per cell. Using a clustering approach (Seurat V3.1.5), we identified 7 T cell clusters based on transcriptional signature (Fig.C). Responders had a larger fraction of Tregs (Cluster 5) as compared with progressors (p=0.03, Fig. D), and these Tregs showed an IFN-related gene signature (Fig. E). To determine any changes in the cellular circuitry in Tregs between responders and progressors, we used FOXP3, CD25, and CD127 as markers for Tregs in our SC-RNA-seq data. We saw a greater expression of FOXP3, CD25, CD127, in RS2 in comparison to CLL17 and CLL14. Gene set enrichment analysis (GSEA) revealed the upregulation of genes involved in lymphocyte activation and FOXP3-regulated Treg development-related pathways in the responder's Tregs (Fig.F). Together, the greater expression of genes involved in Treg activation may reduce the suppressive functions of Tregs, which led to the response to anti-PD1 treatment seen in RS2 consistent with Tregs in melanoma. To delineate any state changes in T cells between progressors and responder, we performed trajectory analysis using Monocle (R package tool) and identified enrichment of MYC/TNF/IFNG gene signature in state 1 and an effector T signature in state 3 For RS2 after treatment (p=0.003), indicating pembrolizumab induced proliferative and functional T cell signatures in the responder only. Further, our single-cell results were supported by the T cell receptor (TCR beta) repertoire analysis (Adaptive Biotechnology). As an inverse measure of TCR diversity, productive TCR clonality in CLL14 and CLL17 samples was 0.638 and 0.408 at baseline, respectively. Fifty percent of all peripheral blood T cells were represented by one large TCR clone in CLL14(progressor) suggesting tumor related T-cell clone expansion. In contrast, RS2(responder) contained a profile of diverse T cell clones with a clonality of 0.027 (Fig. H). Pembrolizumab therapy did not change the clonality of the three patients during the treatment course (data not shown). In summary, we identified enriched Treg signatures delineating responders from progressors on pembrolizumab treatment, paradoxical to the current understanding of T cell subsets in solid tumors. However, these data are consistent with the recent observation that the presence of Tregs suggests a better prognosis in Hodgkin lymphoma, Follicular lymphoma, and other hematological malignancies. Figure 1 Disclosures Kay: Pharmacyclics: Membership on an entity's Board of Directors or advisory committees, Research Funding; Oncotracker: Membership on an entity's Board of Directors or advisory committees; Rigel: Membership on an entity's Board of Directors or advisory committees; Juno Theraputics: Membership on an entity's Board of Directors or advisory committees; Agios Pharma: Membership on an entity's Board of Directors or advisory committees; Cytomx: Membership on an entity's Board of Directors or advisory committees; Astra Zeneca: Membership on an entity's Board of Directors or advisory committees; Morpho-sys: Membership on an entity's Board of Directors or advisory committees; Tolero Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees, Research Funding; Bristol Meyer Squib: Membership on an entity's Board of Directors or advisory committees, Research Funding; Acerta Pharma: Research Funding; Sunesis: Research Funding; Dava Oncology: Membership on an entity's Board of Directors or advisory committees; Abbvie: Research Funding; MEI Pharma: Research Funding. Ansell:AI Therapeutics: Research Funding; Takeda: Research Funding; Trillium: Research Funding; Affimed: Research Funding; Bristol Myers Squibb: Research Funding; Regeneron: Research Funding; Seattle Genetics: Research Funding; ADC Therapeutics: Research Funding. Ding:Astra Zeneca: Research Funding; Abbvie: Research Funding; Octapharma: Membership on an entity's Board of Directors or advisory committees; MEI Pharma: Membership on an entity's Board of Directors or advisory committees; alexion: Membership on an entity's Board of Directors or advisory committees; Beigene: Membership on an entity's Board of Directors or advisory committees; DTRM: Research Funding; Merck: Membership on an entity's Board of Directors or advisory committees, Research Funding. OffLabel Disclosure: pembrolizumab

Analysis of Serial Patient Samples Reveals a Variety of Clonal Dynamics In Multiple Myeloma

Blood ◽  
2010 ◽  
Vol 116 (21) ◽  
pp. 1923-1923
Author(s):  
Jonathan J Keats ◽  
Esteban Braggio ◽  
Scott Van Wier ◽  
Patrick Blackburn ◽  
Angela Baker ◽  
...  
Keyword(s):  
Gene Expression ◽  
Multiple Myeloma ◽  
Board Of Directors ◽  
Research Funding ◽  
Cell Leukemia ◽  
Advisory Committees ◽  
Tumor Mass ◽  
Time Points ◽  
Tumor Genome ◽  
Time Point

Abstract Abstract 1923 Our understanding of the genetic abnormalities associated with the development of multiple myeloma has increased significantly in the last decade. However, very little is known about how, or if, myeloma tumor genomes change with time and if therapeutic interventions influence these events. To address these issues we studied a cohort of 29 patients for whom at least two serial samples (1-65 months, median 19 months) were available for analysis. Each serial pair was analyzed by both array-based comparative genomic hybridization (aCGH) and microarray gene expression profiling (GEP) to identify DNA copy number abnormalities (CNA) at a 25kb resolution and gene expression differences present in the bulk of the tumor mass. Though this does not address the intra-clonal heterogeneity that may exist at a given time point, it does answer if the bulk of the tumor mass is changing with time. This study has unearthed several surprising and clinically relevant findings. First, myeloma tumor genomes are not as unstable as previous cytogenetic analyses suggest. In 40% of patients we observed no detectable CNA changes (1-37 months, median 12 months). In 24% of patients we observed the exclusive acquisition of new CNA (1-12, median 3.5) (3-22 months, median 18 months). In 36% of patients we observed both the loss (1-20, median 3) and gain (1-33, median 21) of CNA (5-43 months, median 20 months). Because time was not a significant influence on the detection of stable or unstable genomes we compared CNA changes with TC class and found patients with the high-risk 4p16 and maf IgH translocations were over-represented in the latter subset of patients. These observations raise the question of what happens between multiple rounds of therapy and if different regimens influence these phenotypes differently. For two patients with no CNA changes between the first two time points there was an additional sample that extended the follow-up by 52 and 12 months. Again no CNA changes were seen between diagnosis and these final samples taken 63 and 50 months later. For one patient with CNA changes (5 shared, 29 lost, and 32 gained) we have a detailed time course of 5 samples from diagnosis through to end-stage plasma cell leukemia. This patient received continuous lenalidomide-dexamethasone (Rd) for 20 months and progessed with a clone containing a BIRC2/3 deletion, which activates the NFKB pathway. The patient received single agent PR-171 and a bortezomib containing regimen and unexpectedly, the tumor genome observed in the third sample was almost identical (32 shared, 2 lost, and 4 gained CNA) to the first time point, including two copies of BIRC2/3. Subsequently, the patient received melphalan-prednisone-bortezomib (MPV) and the tumor genome observed in the fourth and fifth samples, which were identical, were similar to that seen in the second sample (24 shared, 13 lost, and 39 gained CNA). To understand these observations better we performed FISH to ascertain if the observed clones were detectable earlier, albeit at a low frequency. These experiments proved that the two dominant subclones observed at time points 1 and 3 versus 2, 4, 5 were mutually exclusive at the single cell level. Moreover, both of these clones were detectable at diagnosis with 12% of the tumor mass being the second subclone that eventually evolved into plasma cell leukemia. Interestingly, we assayed 5 of the 39 unique CNA observed in the final two samples and only one, the 17p13 deletion, was detectable earlier. This suggests the MPV regimen effectively eliminated a clone that was previously sensitive to Rd and selected for a dramatically evolved subclone that was previously sensitive to two different proteasome inhibitors. Although it is clear that the high-risk patients are enriched in the subset with the most changes, it is not clear if the specific drugs used (Melphalan vs IMID vs proteasome inhibitor) or intervention strategy (Cycled vs continuous/maintenance) and perhaps the response achieved (PR vs CR) influences these events. These observations do highlight two important clinical concepts that need to be considered in the future. First, the meaning of a partial response needs further investigation as this may reflect effective elimination of one subclone but not another. Second, because some patients are not changing or can revert back to a previous subclone we need to consider re-chanllenging patients with previously effective regimens when patients progress. Disclosures: Fonseca: Genzyme: Consultancy; Medtronic: Consultancy; BMS: Consultancy; AMGEN: Consultancy; Otsuka: Consultancy; Celgene: Consultancy, Research Funding; Intellikine: Consultancy; Cylene: Research Funding; Onyx: Research Funding; FISH probes prognostication in myeloma: Patents & Royalties. Stewart:Millennium: Consultancy; Celgene: Honoraria. Bergsagel:Amgen: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Genentech: Membership on an entity's Board of Directors or advisory committees; Millennium: Speakers Bureau; Novartis: Speakers Bureau.

DEPTOR Is a Regulator of Response to mTOR Kinase Inhibitors in Multiple Myeloma

Blood ◽  
2011 ◽  
Vol 118 (21) ◽  
pp. 2916-2916
Author(s):  
Diana Cirstea ◽  
Teru Hideshima ◽  
Loredana Santo ◽  
Homare Eda ◽  
Miriam Canavese ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Board Of Directors ◽  
Research Funding ◽  
Kinase Inhibitors ◽  
Mtor Inhibitors ◽  
Mtor Pathway ◽  
Differential Sensitivity ◽  
Advisory Committees ◽  
Mtor Kinase ◽  
Regulatory Cascade

Abstract Abstract 2916 Inhibition of the PI3K/mTOR pathway is a promising therapeutic strategy in targeting multiple myeloma (MM) cells in the bone marrow (BM) microenvironment, which abnormally activates PI3K/mTOR signaling cascade mediating proliferation, anti-apoptosis and drug resistance. Exploring the targeting of PI3K/mTOR pathway has led to the development of different therapeutic approaches; however, mTORC1 inhibitors (i.e., temsirolimus and everolimus) have demonstrated only modest activity as single agents. In this regard, several mechanisms underlying rapamycin resistance, including mTOR/S6K1-mediated feedback loops resulting in activation of PI3K/Akt and ERK signaling, have been proposed. Importantly, recent studies have identified mTOR kinase and the mTOR-DEPTOR counter-regulatory cascade as key mediators of mTORC1 and mTORC2 multi-protein complexes, with differential sensitivity to rapamycin. Indeed, targeting DEPTOR/mTORC1/mTORC2 signaling by inhibition of mTOR kinase proved an effective strategy to overcome some of the limitations of TORC1 inhibition in MM cells, evidenced in our studies of the novel dual mTORC1 and mTORC2 selective inhibitor AZD8055. Unlike rapamycin, AZD8055 induced apoptosis and inhibited MM cell growth even when co-cultured with cytokines (i.e., IL-6, IGF1) or BMSCs, presumably through simultaneous suppression of mTORC1 and mTORC2 signaling including the rapamycin-resistant 4E-BP1 (downstream of mTORC1) and Akt as well as NDRG1 (effectors of mTORC2). We examined mRNA and protein level of DEPTOR in MM cell lines treated with AZD8055 versus rapamycin and observed no significant changes. To examine the functional significance of DEPTOR in response to mTOR inhibitors, we utilized lentiviral shRNA to knockdown DEPTOR in OPM1 MM cells. DEPTOR-knockdown cells acquired resistance to AZD8055 treatment, suggesting that DEPTOR is a key modulator of mTORC1/2 signaling. Moreover, DEPTOR knockdown triggered decrease in Akt phosphorylation (Ser473), associated with suppression of Rictor phosphorylation (Thr1135). DEPTOR co-immunoprecipitation with Rictor was also abrogated by both AZD8055 and rapamycin treatment. Taken together, our results indicate the role of DEPTOR, either alone or as an mTOR/Rictor interacting molecule, in mediating the anti-MM activity induced by mTOR kinase inhibitors in MM cells. These data therefore both provide insights into the molecular profiles that may predict sensitivity/resistance to second generation of mTOR inhibitors in MM, and may be useful to select MM patients for mTOR inhibitor therapy. Disclosures: Hideshima: Acetylon: Consultancy. Anderson:Celgene: Membership on an entity's Board of Directors or advisory committees; Millennium: Membership on an entity's Board of Directors or advisory committees; Onyx: Membership on an entity's Board of Directors or advisory committees; Merck: 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; Novartis: Membership on an entity's Board of Directors or advisory committees; Acetylon: Membership on an entity's Board of Directors or advisory committees. Guichard:AstraZeneca, UK: Employment, Shares from AstraZeneca, UK. Raje:Celgene: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees; Millenium: Membership on an entity's Board of Directors or advisory committees; Astra Zeneca: Research Funding; Amgen: Membership on an entity's Board of Directors or advisory committees; Acetylon: Research Funding.

Vantage 088: Vorinostat in Combination with Bortezomib in Patients with Relapsed/Refractory Multiple Myeloma: Results of a Global, Randomized Phase 3 Trial

Blood ◽  
2011 ◽  
Vol 118 (21) ◽  
pp. 811-811 ◽  
Author(s):  
Meletios Athanasios Dimopoulos ◽  
Sundar Jagannath ◽  
Sung-Soo Yoon ◽  
David S. Siegel ◽  
Sagar Lonial ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
New Zealand ◽  
Board Of Directors ◽  
Histone Deacetylase ◽  
Research Funding ◽  
Cell Lymphoma ◽  
Phase 3 ◽  
Advisory Committees ◽  
Refractory Multiple Myeloma ◽  
Chemotherapy Agents

Abstract Abstract 811 Introduction: Vorinostat (VOR), an oral inhibitor of histone deacetylase class I and class II proteins, regulates genes and proteins involved in tumor growth and survival. The synergistic effects of VOR and bortezomib (BTZ) have been shown in preclinical studies and were confirmed in independent phase 1 trials in patients with relapsed/refractory multiple myeloma (MM), producing objective response rates (ORRs) of up to 42% and overall clinical benefit of up to 90%. Materials and methods: Eligible patients were aged ≥ 18 years, had measurable secretory MM, had received 1 to 3 prior systemic anti-myeloma regimens, and had an Eastern Cooperative Oncology Group status ≤ 2. Previous exposure to BTZ and the presence of extracellular plasmacytoma were allowed per protocol, but patients with prior resistance to BTZ were excluded. Patients were randomized 1:1 to receive 21-day cycles of BTZ (1.3 mg/m2 intravenously; days 1, 4, 8, and 11) in combination with oral VOR 400 mg/d, or matching placebo, on days 1 to 14. Additional use of corticosteroids for the treatment of MM was not allowed during the trial. Patients were treated until disease progression, unacceptable toxicities, or withdrawal from the study. The primary endpoint for this trial was progression-free survival (PFS; occurrence of 412 PFS events). Secondary and exploratory endpoints included ORR (≥ partial response), clinical benefit response (ORR + minimal response), overall survival, time to progression, patient-reported outcomes questionnaires (QLQ-C30, QLQ-MY20), and safety/tolerability of this novel drug combination. Responses and progression were determined according to the European Bone and Marrow Transplantation Group criteria and will be confirmed by an Independent Adjudication Committee. Results: Between January 2009 and January 2011, 637 patients were enrolled from 174 centers in 33 countries across the globe making this trial one of the largest studies conducted in patients with relapsed/refractory myeloma. Median age of the study population was 62 years (range, 29–86 years). Of the enrolled patients, 59% were male and 56% were Caucasian. Patients had received a median of 2 prior regimens (range, 1–3). Prior anti-myeloma agents included BTZ (24%), thalidomide (56%), lenalidomide (13%), melphalan (56%), and stem cell transplantation (35%). As of July 2011, 635 patients had received study medication, with a median exposure of 7 cycles (mean: 7.6 cycles; range 1–30 cycles). Reported median exposure to BTZ monotherapy in previous phase 3 trials was approximately 5 cycles. Conclusions: The study passed the protocol-specified futility analyses by the independent data monitoring committee in November 2010. Database lock is anticipated in November 2011, and top-line data on primary and secondary endpoints will be available at the meeting. Disclosures: Dimopoulos: Celgene, Ortho-Biotech: Consultancy, Honoraria. Off Label Use: Vorinostat, an inhibitor of histone deacetylase, is approved in the US for the treatment of cutaneous manifestations in patients with cutaneous T cell lymphoma (CTCL) who have progressive, persistent or recurrent disease on or following two systemic therapies. Vorinostat is currently under investigation for the treatment of relapsed malignant pleural mesothelioma, relapsed/refractory B cell lymphoma (in combination with other chemotherapy agents), and relapsed/refractory multiple myeloma (in combination with bortezomib and other chemotherapy agents). Jagannath:Merck: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Millennium: Membership on an entity's Board of Directors or advisory committees. Yoon:Celgene: Consultancy; NK Bio: Consultancy. Siegel:Millennium: Honoraria, Research Funding, Speakers Bureau; Merck: Honoraria. Lonial:Millennium: Consultancy; Celgene: Consultancy; Novartis: Consultancy; BMS: Consultancy; Onyx: Consultancy; Merck: Consultancy. Hajek:Celgene: Honoraria; Janssen: Honoraria; Merck: Educational lecture. Facon:Janssen: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Merck: Membership on an entity's Board of Directors or advisory committees. Rosiñol:Celgene: Honoraria; Janssen-Cilag: Honoraria. Blacklock:New Zealand Bone Marrow Donor Registry: Consultancy, Employment; Mercy Hospital, Auckland New Zealand: Consultancy; Leukaemia and Blood Foundation, New Zealand: Consultancy, Membership on an entity's Board of Directors or advisory committees; Middlemore Hospital: Employment, Research Funding. Goldschmidt:Amgen, Novartis, Chugai: Research Funding; Janssen-Cilag, Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding. Palumbo:Merck: Honoraria; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees; Amgen: Honoraria; Janssen-Cilag: Honoraria, Membership on an entity's Board of Directors or advisory committees. Reece:Merck: Honoraria, Research Funding; Janssen: Honoraria, Research Funding; Celgene: Honoraria, Research Funding; Otsuka: Honoraria, Research Funding. Graef:Merck: Employment. Houp:Merck Research Laboratories: Employment. Sun:Merck & Co., Inc.: Employment. Eid:Merck Research Laboratories: Employment. Anderson:Celgene: Consultancy; Millennium: Consultancy; Novartis: Consultancy; BMS: Consultancy; Onyx: Consultancy; Merck: Consultancy; Acetylon: founder.

Identification of Alpha 1-Acid Glycoprotein (AAG) As a Potential Patient Selection Biomarker for Improved Clinical Activity of the Novel KSP Inhibitor ARRY-520 in Relapsed and Refractory Multiple Myeloma (MM)

Blood ◽  
2012 ◽  
Vol 120 (21) ◽  
pp. 1868-1868 ◽  
Author(s):  
Brian Tunquist ◽  
Karin Brown ◽  
Gary Hingorani ◽  
Sagar Lonial ◽  
Jonathan L. Kaufman ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Board Of Directors ◽  
Research Funding ◽  
Response Rate ◽  
Phase 1 ◽  
Clinical Activity ◽  
Advisory Committees ◽  
Blood Samples ◽  
Refractory Multiple Myeloma

Abstract Abstract 1868 Background ARRY-520 is a kinesin spindle protein (KSP) inhibitor that has demonstrated clinical activity in patients with relapsed and refractory multiple myeloma (MM). Although ARRY-520 is administered IV, it displays variable pharmacokinetics (PK) among patients. The degree of binding of certain drugs to serum proteins can alter their free fraction (fu) and PK, with a possible impact on clinical activity. Alpha 1-acid glycoprotein (AAG) is an acute-phase reactant protein that is often elevated in the blood of patients with cancer, including multiple myeloma. We investigated the significance of the interaction of ARRY-520 with AAG, and other relevant blood proteins, using both in vitro models and clinical data. Methods Compound-protein binding was assessed using several in vitro assays. In addition, the effect of increasing concentrations of AAG on MM cell line viability was measured. Patient data were obtained from 3 clinical studies of ARRY-520: a Phase 1 solid tumor study, a Phase 1/2 AML study, and a Phase 1/2 study in MM. The MM Phase 2 portion consists of 2 separate, 2-stage cohorts. Cohort 1 evaluated ARRY-520 administered as a single agent, and cohort 2 investigated ARRY-520 in combination with low-dose dexamethasone (LoDex). The concentrations of multiple proteins, including AAG, and the degree of ARRY-520 total protein binding, were measured in pre- and post-dose blood samples for patients in the analysis. AAG levels in MM patients were further correlated with time-on-study and clinical response rate. Results ARRY-520 exhibits low micromolar affinity for AAG in in vitro assays, but not for other common serum proteins, such as albumin. To investigate whether AAG binding impacts biological activity, we found that increasing AAG concentrations within a clinically relevant range resulted in increasing IC50 values for ARRY-520 on MM cell line viability. Of other MM agents tested, none exhibited high affinity binding to AAG in vitro, and a range of AAG concentrations did not alter the cellular activity of these compounds. Pre-dose concentrations of AAG were measured using blood samples collected from patients on all 3 ARRY-520 studies (0.4 – 4.1 g/L AAG in solid tumor study; 0.5 – 2.4 g/L in AML study; 0.2 – 2.8 g/L in MM study). Post-dose blood samples from the MM study also indicated that AAG levels do not significantly change with time. The fu of ARRY-520 in blood was meaningfully reduced among patients with the highest AAG concentrations. Furthermore, AAG and fu were correlated with changes in clinical PK: CL and Vd decreased with increasing AAG, trends consistent with a lower fu. Among the MM patients, 72 patients were evaluable for AAG determination (27 from the dose-escalation portion, 27 from Cohort 1, and 18 from Stage 1 of Cohort 2). Across all of these cohorts, the group of patients with AAG above an empirically-determined cutoff of 1.1 g/L showed a decreased median time on study (1.5 months vs 4.7 months) and no clinical responses (0/19 vs 12/53) as compared to patients below this cutoff. For example, as reported separately, ARRY-520 in combination with LoDex showed a promising 22% overall response rate (≥PR) in the 1st-stage of Cohort 2. In this cohort, 6 patients were determined to have AAG concentrations above the empirical cutoff. None of these patients had clinical benefit. Excluding these 6 patients would significantly improve the overall response rate (≥PR) from 22% (4/18) to 33% (4/12). Summary AAG has been proposed as a prognostic marker for MM disease severitya. Our preliminary data suggest that AAG levels can affect the free fraction of ARRY-520 in blood over a clinically relevant range both preclinically and in clinical studies. In retrospective analysis, patients with higher AAG levels show a lower fu and therefore may not achieve sufficient exposure to gain therapeutic benefit from ARRY-520. In preclinical analyses, this effect is specific to ARRY-520, suggesting that AAG levels may be predictive for ARRY-520 activity relative to other MM drugs. We hypothesize that prospective screening for AAG may enable exclusion of patients who may not achieve therapeutic exposure to ARRY-520, increasing the overall activity of ARRY-520 and preventing exposure of non-responders to an ineffective therapeutic dose. Further, experiments are currently underway to investigate the relevance of other acute-phase proteins in blood. Disclosures: Tunquist: Array BioPharma: Employment. Off Label Use: ARRY-520 alone and with dexamethasone for the treatment of relapsed/refractory multiple myeloma. ARRY-520 is not currently approved for any indication. Brown:Array BioPharma: Employment. Hingorani:Array BioPharma: Employment. Lonial:Millennium Pharmaceuticals, Inc.: Consultancy, Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees; Bristol-Meyers Squibb: Consultancy, Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees; Onyx: Consultancy, Membership on an entity's Board of Directors or advisory committees; Merck: Consultancy, Membership on an entity's Board of Directors or advisory committees. Kaufman:Millenium: Consultancy; Celgene: Consultancy; Novartis: Consultancy; Onyx: Consultancy. Zonder:Celgene: Honoraria, Research Funding; Millenium: Honoraria, Research Funding. Orlowski:Array BioPharma: Honoraria, Membership on an entity's Board of Directors or advisory committees. Shah:Array BioPharma: 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; Onyx: Honoraria, Research Funding, Speakers Bureau; Novartis: Honoraria, Research Funding, Speakers Bureau. Hilder:Array BioPharma: Employment. Ptaszynski:Array BioPharma: Consultancy. Koch:Array BioPharma: Employment. Litwiler:Array BioPharma: Employment. Walker:Array BioPharma: Employment.

scholarly journals Dysregulation of Splicing in Multiple Myeloma: The Splicing Factor SRSF1 Supports MM Cell Proliferation Via Splicing Control

Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 4500-4500
Author(s):  
Mariateresa Fulciniti ◽  
Michael A Lopez ◽  
Anil Aktas Samur ◽  
Eugenio Morelli ◽  
Hervé Avet-Loiseau ◽  
...  
Keyword(s):  
Gene Expression ◽  
Multiple Myeloma ◽  
Alternative Splicing ◽  
Board Of Directors ◽  
Research Funding ◽  
Splicing Factor ◽  
Splicing Factors ◽  
Rna Seq ◽  
Advisory Committees ◽  
Disease Biology

Abstract Gene expression profile has provided interesting insights into the disease biology, helped develop new risk stratification, and identify novel druggable targets in multiple myeloma (MM). However, there is significant impact of alternative pre-mRNA splicing (AS) as one of the key transcriptome modifier. These spliced variants increases the transcriptomic complexity and its misregulation affect disease behavior impacting therapeutic consideration in various disease processes including cancer. Our large well annotated deep RNA sequencing data from purified MM cells data from 420 newly-diagnosed patients treated homogeneously have identified 1534 genes with one or more splicing events observed in at least 10% or more patients. Median alternative splicing event per patient was 595 (range 223 - 2735). These observed global alternative splicing events in MM involves aberrant splicing of critical growth and survival genes affects the disease biology as well as overall survival. Moreover, the decrease of cell viability observed in a large panel of MM cell lines after inhibition of splicing at the pre-mRNA complex and stalling at the A complex confirmed that MM cells are exquisitely sensitive to pharmacological inhibition of splicing. Based on these data, we further focused on understanding the molecular mechanisms driving aberrant alternative splicing in MM. An increasing body of evidence indicates that altered expression of regulatory splicing factors (SF) can have oncogenic properties by impacting AS of cancer-associated genes. We used our large RNA-seq dataset to create a genome wide global alterations map of SF and identified several splicing factors significantly dysregulated in MM compared to normal plasma cells with impact on clinical outcome. The splicing factor Serine and Arginine Rich Splicing Factor 1 (SRSF1), regulating initiation of spliceosome assembly, was selected for further evaluation, as its impact on clinical outcome was confirmed in two additional independent myeloma datasets. In gain-of (GOF) studies enforced expression of SRSF1 in MM cells significantly increased proliferation, especially in the presence of bone marrow stromal cells; and conversely, in loss-of function (LOF) studies, downregulation of SRSF1, using stable or doxy-inducible shRNA systems significantly inhibited MM cell proliferation and survival over time. We utilized SRSF1 mutants to dissect the mechanisms involved in the SRSF1-mediated MM growth induction, and observed that the growth promoting effect of SRSF1 in MM cells was mainly due to its splicing activity. We next investigated the impact of SRSF1 on allelic isoforms of specific gene targets by RNA-seq in LOF and confirmed in GOF studies. Splicing profiles showed widespread changes in AS induced by SRSF1 knock down. The most recurrent splicing events were skipped exon (SE) and alternative first (AF) exon splicing as compared to control cells. SE splice events were primarily upregulated and AF splice events were evenly upregulated and downregulated. Genes in which splicing events in these categories occurred mostly did not show significant difference in overall gene expression level when compared to control, following SRSF1 depletion. When analyzing cellular functions of SRSF1-regulated splicing events, we found that SRSF1 knock down affects genes in the RNA processing pathway as well as genes involved in cancer-related functions such as mTOR and MYC-related pathways. Splicing analysis was corroborated with immunoprecipitation (IP) followed by mass spectrometry (MS) analysis of T7-tagged SRSF1 MM cells. We have observed increased levels of SRSF phosphorylation, which regulates it's subcellular localization and activity, in MM cell lines and primary patient MM cells compared to normal donor PBMCs. Moreover, we evaluated the chemical compound TG003, an inhibitor of Cdc2-like kinase (CLK) 1 and 4 that regulate splicing by fine-tuning the phosphorylation of SR proteins. Treatment with TG003 decreased SRSF1 phosphorylation preventing the spliceosome assembly and inducing a dose dependent inhibition of MM cell viability. In conclusions, here we provide mechanistic insights into myeloma-related splicing dysregulation and establish SRSF1 as a tumor promoting gene with therapeutic potential. Disclosures Avet-Loiseau: Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Sanofi: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Abbvie: Membership on an entity's Board of Directors or advisory committees; Amgen: Consultancy, 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, Research Funding. Munshi:OncoPep: Other: Board of director.

scholarly journals High Levels of APOBEC3B Gene Expression Contribute to Poor Prognosis in Multiple Myeloma Patients

Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 3897-3897
Author(s):  
Valeriy V Lyzogubov ◽  
Pingping Qu ◽  
Cody Ashby ◽  
Adam Rosenthal ◽  
Antje Hoering ◽  
...  
Keyword(s):  
Gene Expression ◽  
Multiple Myeloma ◽  
Board Of Directors ◽  
Research Funding ◽  
Poor Prognosis ◽  
Target Genes ◽  
Plasma Cells ◽  
Nuclear Fraction ◽  
Advisory Committees ◽  
Significant Difference

Abstract Introduction: Poor prognosis and drug resistance in multiple myeloma (MM) is associated with increased mutational load. APOBEC3B is a major contributor to mutagenesis, especially in myeloma patients with t(14;16) MAF subgroup. It was shown recently that presence of the APOBEC signature at diagnosis is an independent prognostic factor for progression free survival (PFS) and overall survival (OS). We hypothesized that high levels of APOBEC3B gene expression at diagnosis may also have a prognostic impact in myeloma. To consider APOBEC3B as a potential target for therapy more studies are necessary to understand how APOBEC3B expression is regulated and how APOBEC3B generates mutations. Methods: Gene expression profiling (GEP, U133 Plus 2.0) of MM patients was performed. APOBEC3B gene expression levels were investigated in plasma cells of healthy donors (HD; n=34), MGUS (n=154), smoldering myeloma (SMM; n=219), MM low risk (LR; n=739), MM high risk (HR; n=129), relapsed MM (RMM; n=74), and primary plasma cell leukemia (pPCL; n=19) samples. The samples from relapse were taken on or after the progression/relapse date but within 30 days after progression/relapse from Total Therapy trials 3, 4, 5 & 6. GEP70 score was used to separate samples into LR and HR groups. We also investigated APOBEC3B expression in different MM molecular subgroups and used logrank statistics with covariate frequency distribution to determine an optimal cut off APOBEC3B expression value. Gene expression was compared in cases with low expression of APOBEC3B (log2<7.5) and high expression of APOBEC3B (log2>10), and an optimal cut-point in APOBEC3B expression was identified with respect to PFS. To explore the role of MAF and the non-canonical NF-ĸB pathway we performed functional studies using a cellular model of MAF downregulation. TRIPZ lentiviral shRNA MAF knockdown in the RPMI8226 cell lines was used to explore MAF-dependent genes. NF-ĸB proteins, p52 and RelB, were investigated in the nuclear fraction by immunoblot analysis. Results: Expression of APOBEC3B in HD control samples (log2=10.9) was surprisingly higher than in MGUS (log2=9.51), SMM (log2=9.09), and LR (log2=9.40) and was comparable to HR (log2=10.4) and RMM (log2=10.6) groups. Expression levels of APOBEC3B were gradually increased as disease progressed from SMM to pPCL. The high expression of APOBEC3B in HD places plasma cells at risk of APOBEC induced mutagenesis where the regulation of APOBEC3B function is compromised. The correlation between APOBEC3B expression and GEP70 score in MM was 0.37, and there was a significant difference in APOBEC3B expression between GEP70 high and low risk groups (p=0.0003). An optimal cut-point in APOBEC3B expression of log2=10.2 resulted in a significant difference in PFS (median 5.7 yr vs.7.4 yr; p=0.0086) and OS (median 9.1 yr vs. not reached; p<0.0001), between high and low expression. The highest APOBEC3B expression was detected in cases with a t(14;16). We analyzed t(14;16) cases with the APOBEC mutational signature and compared them to t(14;16) cases without the APOBEC signature and found elevated MAF (2-fold) and APOBEC3B (2.7-fold) gene expression in samples with the APOBEC signature. No APOBEC signature was detected in SMM cases, including those with a t(14;16). High APOBEC3B levels in myeloma patients was associated with overexpression of genes related to response to DNA damage and cell cycle control. Significant (p<0.05) increases of NF-κB target genes was seen in high APOBEC3B cases: TNFAIP3 (4.4-fold), NFKB2 (1.7-fold), NFKBIE (1.9-fold), RELB (1.4-fold), NFKBIA (2.0-fold), PLEK (2.5-fold), MALT1 (2.5-fold), WNT10A (2.4-fold). However, in t(14;16) cases there was no significant increase of NF-κB target genes except BIRC3 (2.5-fold) and MALT1 (2.0-fold). MAF downregulation in RPMI8226 cells did not lead to changes in NF-κB target gene expression but MAF-dependent genes were identified, including ETS1, SPP1, RUNX2, HGF, IGFBP2 and IGFBP3. Analysis of nuclear fraction of NF-ĸB proteins did not show significant changes in expression of p52 and RelB in RPMI8226 cells after MAF downregulation. Conclusions: Increased expression of APOBEC3B is a negative prognostic factor in multiple myeloma. MAF is a major factor regulating expression of APOBEC3B in the t(14;16) subgroup. NF-ĸB pathway activation is most likely involved in upregulation of APOBEC3B in non-t(14;16) subgroups. Disclosures Davies: TRM Oncology: Honoraria; MMRF: Honoraria; Janssen: Consultancy, Honoraria; Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; ASH: Honoraria; Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees; Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees; Abbvie: Consultancy. Morgan:Bristol-Myers Squibb: Consultancy, Honoraria; Celgene: Consultancy, Honoraria, Research Funding; Janssen: Research Funding; Takeda: Consultancy, Honoraria.

scholarly journals Baseline and on-Treatment Bone Marrow Microenvironments Predict Myeloma Patient Outcomes and Inform Potential Intervention Strategies

Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 1882-1882 ◽  
Author(s):  
Samuel A Danziger ◽  
Mark McConnell ◽  
Jake Gockley ◽  
Mary Young ◽  
Adam Rosenthal ◽  
...  
Keyword(s):  
Gene Expression ◽  
Multiple Myeloma ◽  
Bone Marrow ◽  
Board Of Directors ◽  
Research Funding ◽  
Expression Profiles ◽  
Cell Types ◽  
Employment Equity ◽  
Advisory Committees ◽  
Equity Ownership

Abstract Introduction The multiple myeloma (MM) tumor microenvironment (TME) strongly influences patient outcomes as evidenced by the success of immunomodulatory therapies. To develop precision immunotherapeutic approaches, it is essential to identify and enumerate TME cell types and understand their dynamics. Methods We estimated the population of immune and other non-tumor cell types during the course of MM treatment at a single institution using gene expression of paired CD138-selected bone marrow aspirates and whole bone marrow (WBM) core biopsies from 867 samples of 436 newly diagnosed MM patients collected at 5 time points: pre-treatment (N=354), post-induction (N=245), post-transplant (N=83), post-consolidation (N=51), and post-maintenance (N=134). Expression profiles from the aspirates were used to infer the transcriptome contribution of immune and stromal cells in the WBM array data. Unsupervised clustering of these non-tumor gene expression profiles across all time points was performed using the R package ConsensusClusterPlus with Bayesian Information Criterion (BIC) to select the number of clusters. Individual cell types in these TMEs were estimated using the DCQ algorithm and a gene expression signature matrix based on the published LM22 leukocyte matrix (Newman et al., 2015) augmented with 5 bone marrow- and myeloma-specific cell types. Results Our deconvolution approach accurately estimated percent tumor cells in the paired samples compared to estimates from microscopy and flow cytometry (PCC = 0.63, RMSE = 9.99%). TME clusters built on gene expression data from all 867 samples resulted in 5 unsupervised clusters covering 91% of samples. While the fraction of patients in each cluster changed during treatment, no new TME clusters emerged as treatment progressed. These clusters were associated with progression free survival (PFS) (p-Val = 0.020) and overall survival (OS) (p-Val = 0.067) when measured in pre-transplant samples. The most striking outcomes were represented by Cluster 5 (N = 106) characterized by a low innate to adaptive cell ratio and shortened patient survival (Figure 1, 2). This cluster had worse outcomes than others (estimated mean PFS = 58 months compared to 71+ months for other clusters, p-Val = 0.002; estimate mean OS = 105 months compared with 113+ months for other clusters, p-Val = 0.040). Compared to other immune clusters, the adaptive-skewed TME of Cluster 5 is characterized by low granulocyte populations and high antigen-presenting, CD8 T, and B cell populations. As might be expected, this cluster was also significantly enriched for ISS3 and GEP70 high risk patients, as well as Del1p, Del1q, t12;14, and t14:16. Importantly, this TME persisted even when the induction therapy significantly reduced the tumor load (Table 1). At post-induction, outcomes for the 69 / 245 patients in Cluster 5 remain significantly worse (estimate mean PFS = 56 months compared to 71+ months for other clusters, p-Val = 0.004; estimate mean OS = 100 months compared to 121+ months for other clusters, p-Val = 0.002). The analysis of on-treatment samples showed that the number of patients in Cluster 5 decreases from 30% before treatment to 12% after transplant, and of the 63 patients for whom we have both pre-treatment and post-transplant samples, 18/20 of the Cluster 5 patients moved into other immune clusters; 13 into Cluster 4. The non-5 clusters (with better PFS and OS overall) had higher amounts of granulocytes and lower amounts of CD8 T cells. Some clusters (1 and 4) had increased natural killer (NK) cells and decreased dendritic cells, while other clusters (2 and 3) had increased adipocytes and increases in M2 macrophages (Cluster 2) or NK cells (Cluster 3). Taken together, the gain of granulocytes and adipocytes was associated with improved outcome, while increases in the adaptive immune compartment was associated with poorer outcome. Conclusions We identified distinct clusters of patient TMEs from bulk transcriptome profiles by computationally estimating the CD138- fraction of TMEs. Our findings identified differential immune and stromal compositions in patient clusters with opposing clinical outcomes and tracked membership in those clusters during treatment. Adding this layer of TME to the analysis of myeloma patient baseline and on-treatment samples enables us to formulate biological hypotheses and may eventually guide therapeutic interventions to improve outcomes for patients. Disclosures Danziger: Celgene Corporation: Employment, Equity Ownership. McConnell:Celgene Corporation: Employment. Gockley:Celgene Corporation: Employment. Young:Celgene Corporation: Employment, Equity Ownership. Schmitz:Celgene Corporation: Employment, Equity Ownership. Reiss:Celgene Corporation: Employment, Equity Ownership. Davies:MMRF: Honoraria; Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees; TRM Oncology: Honoraria; Abbvie: Consultancy; ASH: Honoraria; Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees; Janssen: Consultancy, Honoraria. Copeland:Celgene Corporation: Employment, Equity Ownership. Fox:Celgene Corporation: Employment, Equity Ownership. Fitch:Celgene Corporation: Employment, Equity Ownership. Newhall:Celgene Corporation: Employment, Equity Ownership. Barlogie:Celgene: Consultancy, Research Funding; Dana Farber Cancer Institute: Other: travel stipend; Multiple Myeloma Research Foundation: Other: travel stipend; International Workshop on Waldenström's Macroglobulinemia: Other: travel stipend; Millenium: Consultancy, Research Funding; European School of Haematology- International Conference on Multiple Myeloma: Other: travel stipend; ComtecMed- World Congress on Controversies in Hematology: Other: travel stipend; 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. Trotter:Celgene Research SL (Spain), part of Celgene Corporation: Employment, Equity Ownership. Hershberg:Celgene Corporation: Employment, Equity Ownership, Patents & Royalties. Dervan:Celgene Corporation: Employment, Equity Ownership. Ratushny:Celgene Corporation: Employment, Equity Ownership. Morgan:Takeda: Consultancy, Honoraria; Bristol-Myers Squibb: Consultancy, Honoraria; Celgene: Consultancy, Honoraria, Research Funding; Janssen: Research Funding.

scholarly journals Efficacy of Daratumumab, Lenalidomide and Dexamethasone Versus Lenalidomide and Dexamethasone Alone for Relapsed or Refractory Multiple Myeloma Among Patients with 1 to 3 Prior Lines of Therapy Based on Previous Treatment Exposure: Updated Analysis of Pollux

Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 489-489 ◽  
Author(s):  
Philippe Moreau ◽  
Jonathan L. Kaufman ◽  
Heather J. Sutherland ◽  
Marc Lalancette ◽  
Hila Magen ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Board Of Directors ◽  
Research Funding ◽  
Statistical Significance ◽  
Previous Treatment ◽  
Progression Free Survival ◽  
Advisory Committees ◽  
Free Survival ◽  
Refractory Multiple Myeloma

Abstract Introduction: Daratumumab is an anti-CD38 IgGκ monoclonal antibody that has been combined successfully with lenalidomide and dexamethasone. The combination of daratumumab with lenalidomide and dexamethasone (DRd) has been compared with lenalidomide and dexamethasone alone (Rd) in patients (pts) with relapsed or refractory multiple myeloma (RRMM) in a randomized phase 3 study (Dimopoulos MA, et al. N Engl J Med 2016; in press). In a pre-specified interim analysis, the DRd combination demonstrated significantly longer progression-free survival (PFS) in addition to deep and durable responses compared with the Rd arm. We performed subgroup analyses to further examine these efficacy data according to prior treatment exposure. Methods: Pts who received ≥1 prior line of therapy were randomized (1:1) to Rd (lenalidomide: 25 mg PO on Days 1-21 of each 28-day cycle; dexamethasone: 40 mg PO weekly) with or without daratumumab (16 mg/kg IV qw for 8 weeks, q2w for 16 weeks, then q4w until progression). The primary endpoint was PFS. Pts who were refractory to lenalidomide were not eligible. All analyses were performed in pts who received 1 to 3 prior lines of therapy. Results: Median follow-up was 13.5 months. Pts who were lenalidomide-naive prior to the start of study treatment (DRd, n=226; Rd, n=219) demonstrated significantly longer PFS with DRd vs Rd (median: not reached [NR] vs 18.4 months; HR, 0.36; 95% CI, 0.25-0.52; P<0.0001), with estimated 12-month PFS rates of 83.0% vs 59.9%, respectively. ORR was significantly higher with DRd vs Rd (96% vs 79%), with ≥VGPR rates of 76% vs 47% and ≥CR rates of 44% vs 21%, respectively (P<0.0001 for all). In the lenalidomide-exposed subgroup (DRd, n=46; Rd, n=45), median PFS was NR in both treatment groups (HR, 0.49; 95% CI, 0.22-1.12; P=0.0826); estimated 12-month PFS rates were 84.1% vs 63.1%, respectively. ORR was higher with DRd vs Rd but did not reach statistical significance (87% vs 71%; P=0.0729); however, rates of ≥VGPR (78% vs 38%; P=0.0001) and ≥CR (44% vs 12%; P=0.0011) were significantly improved with DRd vs Rd, respectively. For bortezomib-naive pts (DRd, n=44; Rd, n=45), PFS was significantly longer with DRd vs Rd (median: NR vs 15.8 months; HR, 0.34; 95% CI, 0.13-0.86; P=0.0170), with estimated 12-month PFS rates of 85.4% vs 69.2%, respectively. ORR was significantly higher with DRd vs Rd (98% vs 82%; P=0.0158), with trends toward increased rates of ≥VGPR (74% vs 55%; P=0.0544) and ≥CR (42% vs 23%; P=0.0576). In the bortezomib-exposed pts (DRd, n=228; Rd, n=219), median PFS was NR in DRd vs 18.4 months in Rd (HR, 0.35; 95% CI, 0.24-0.50 P<0.0001); estimated 12-month PFS rates were 82.8% vs 58.7%, respectively. Significant differences in ORR (93% vs 77%), rate of ≥VGPR (77% vs 43%) and rate of ≥CR (44% vs 19%) were observed with DRd vs Rd, respectively (P<0.0001 for all). Among bortezomib-refractory patients (DRd, n=54; Rd, n=49), the PFS benefit of DRd compared with Rd was maintained (median: NR vs 10.3 mo, respectively; HR, 0.46; 95% CI, 0.25-0.85; P=0.0117; Figure). The estimated 12-month PFS rates were 70.8% vs 44.4%, respectively. Similar to bortezomib-exposed pts, ORR (92% vs 68%; P=0.0024), rate of ≥VGPR (75% vs 36%; P=0.0001), and rate of ≥CR (46% vs 13%; P=0.0003) were all significantly higher with DRd vs Rd for bortezomib-refractory pts. Updated data will be presented at the meeting. Conclusions: Among pts who received 1 to 3 prior lines of therapy, significantly longer PFS and higher ORR were observed with DRd vs Rd among pts who previously received bortezomib or were refractory to bortezomib or were lenalidomide-naive. Higher rates of deeper responses were observed in pts who previously received lenalidomide or bortezomib. Follow-up is ongoing to assess PFS in pts who received 1 to 3 prior lines of therapy and previously received lenalidomide. These results further strengthen the significant benefit of combining daratumumab with Rd for RRMM. Figure Progression-free Survival in Bortezomib-refractory Patients who Received 1 to 3 Prior Lines of Therapy Figure. Progression-free Survival in Bortezomib-refractory Patients who Received 1 to 3 Prior Lines of Therapy Disclosures Moreau: Janssen: Honoraria, Speakers Bureau; Novartis: Honoraria; Takeda: Honoraria; Celgene: Honoraria; Amgen: Honoraria; Bristol-Myers Squibb: Honoraria. Kaufman:Pharmacyclics: Consultancy; Incyte: Consultancy; Novartis: Consultancy, Research Funding; Celgene: Consultancy, Research Funding. Sutherland:Celgene: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Janssen: Consultancy, Honoraria. Lalancette:Celgene: Honoraria; BMS: Honoraria. Iida:Celgene: Honoraria, Research Funding; Janssen Pharmaceuticals: Honoraria, Research Funding. Prince:Janssen: Honoraria; Celgene: Honoraria. Cochrane:BMS: Other: Received sponsorship to attend international meetings; Novartis: Other: Received sponsorship to attend international meetings; Celgene: Other: Received sponsorship to attend international meetings; Takeda: Other: Received sponsorship to attend international meetings. Khokhar:Janssen: Employment. Guckert:Johnson & Johnson: Equity Ownership; Janssen: Employment. Qin:Janssen: Employment. Oriol:Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees.

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