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Supplementary Figure 1. In-vivo mouse model's schema; Supplementary Figure 2. Total BLI Flux of SCID.beige myeloma xenograft model and Kaplan-Meier survival analysis of the NSG xenograft model; Supplementary Figure 3. Elotuzumab does not affect myeloma cell proliferation and homing to the bone marrow.

Elotuzumab, a recently approved antibody for the treatment of multiple myeloma, has been shown to stimulate Fcγ receptor (FcγR)-mediated antibody-dependent cellular cytotoxicity by natural killer (NK) cells toward myeloma cells. The modulatory effects of elotuzumab on other effector cells in the tumor microenvironment, however, has not been fully explored. Antibody-dependent cellular phagocytosis (ADCP) is a mechanism by which macrophages contribute to antitumor potency of monoclonal antibodies. Herein, we studied the NK cell independent effect of elotuzumab on tumor-associated macrophages using a xenograft tumor model deficient in NK and adaptive immune cells. We demonstrate significant antitumor efficacy of single-agent elotuzumab in immunocompromised xenograft models of multiple myeloma, which is in part mediated by Fc–FcγR interaction of elotuzumab with macrophages. Elotuzumab is shown in this study to induce phenotypic activation of macrophages in vivo and mediates ADCP of myeloma cells though a FcγR-dependent manner in vitro. Together, these findings propose a novel immune-mediated mechanism by which elotuzumab exerts anti-myeloma activity and helps to provide rationale for combination therapies that can enhance macrophage activity. Mol Cancer Ther; 17(7); 1454–63. ©2018 AACR.

5TGM1 cells co-localized with platelets in femur of syngeneic murine model.

Purpose: Tumor cell–platelet interactions contribute to tumor progression and metastasis in solid tumors. However, the role of platelets in hematological malignancies is not clear. We investigated the association of platelet activation status with clinical stages in multiple myeloma (MM) patients and explored the role of platelets in MM progression.Experimental Design: Platelets were obtained from healthy donors and MM patients. We examined platelet activation status in MM patients by flow cytometry and transmission electron microscopy. We also observed the enriched pathways that are involved with platelet activation in RNA sequencing of platelets. MM cell lines were used to assess the effect of platelets on MM cell proliferation in vitro and their engraftment in vivo. RNA sequencing of MM cell lines was performed to explore molecular mechanisms underlying MM cell–platelet interaction and a CRISPR/Cas9 knockout approach was used for validation.Results: Platelets from MM patients were highly activated with disease progression. RNA sequencing of platelets revealed that genes involved in platelets were enriched in patients with smoldering MM (SMM) or MM. Platelets promoted MM cell proliferation in vitro and contributed to tumor engraftment in bone marrow in vivo. RNA sequencing revealed that IL-1β was upregulated in MM cell lines co-cultured with platelets, whereas IL-1β knockout in MM cell lines abrogated the effects of platelets on MM cell proliferation and engraftment in vivo.Conclusions: Platelets from MM patients were highly activated with disease progression. IL-1β is critical to platelet-mediated MM progression and might be a potential target for MM treatment. Clin Cancer Res; 24(10); 2430–9. ©2018 AACR.

Clinical information of patients with MGUS, SMM, or MM.

Supplemental Figure 1. Hypoxia-induced drug resistance on MM cells. Supplemental Figure 2. HK2, PFKFB3, PFKFB4 and LDHA expression in MM cell lines. Supplemental Figure 3. (A-B) HIF1A expression in MM1S-shHIF1A. (C) HIF2A expression in MM1S-shHIF2A. (D) Stable knockdown of HIF1A restores the effect of melphalan under hypoxic conditions. (E) HIF1A expression in MM1S-shHIF1A. Supplemental Figure 4. (A-B) HK2 and LDHA expression in MM1S-shHK2, MM1S-shLDHA. (C) Relative mRNA levels of HK2 and LDHA in CD138 + cells 3 from normal donors bone marrow, MGUS, Smoldering myeloma and newly diagnosed myeloma (GSE6477). (D) Stable knockdown of LDHA partially restore the effect of melphalan under hypoxic conditions. (E) PDK1 expression in MM1S-PDK1 expressing cells. (F) Stable overexpression of PDK1 induces resistance to bortezomib in MM1S cells. Supplemental Figure 5. LDHA and HIF1A expression in ANBL6-BRshLDHA, MM1S-HIF1A OE and in MM1S-LDHA OE cells.

Multiple myeloma (MM) is a plasma-cell neoplasm that is treated with high-dose chemotherapy, autologous stem cell transplant (ASCT) and long-term immunomodulatory drug (IMiD) maintenance. The presence of somatic mutations in the peripheral blood is termed clonal hematopoiesis of indeterminate potential (CHIP) and is associated with adverse outcomes. Targeted sequencing of the stem cell product from 629 MM patients treated by ASCT at the Dana-Farber Cancer Institute (2003–2011) detects CHIP in 136/629 patients (21.6%). The most commonly mutated genes are DNMT3A, TET2, TP53, ASXL1 and PPM1D. Twenty-one from fifty-six patients (3.3%) receiving first-line IMiD maintenance develop a therapy-related myeloid neoplasm (TMN). However, regardless of CHIP status, the use of IMiD maintenance associates with improved PFS and OS. In those not receiving IMiD maintenance, CHIP is associated with decreased overall survival (OS) (HR:1.34, p = 0.02) and progression free survival (PFS) (HR:1.45, p, Multiple myeloma (MM) is treated with induction chemotherapy, autologous stem cell transplant (ASCT) and long-term immunomodulatory drug (IMiD) maintenance. Here, the authors show that the presence of clonal haematopoiesis of indeterminate potential (CHIP) at time of ASCT is associated with adverse outcomes in MM patients.

Precursor states of Multiple Myeloma (MM) and its native tumor microenvironment need in-depth molecular characterization to better stratify and treat patients at risk. Using single-cell RNA sequencing of bone marrow cells from precursor stages, MGUS and smoldering myeloma (SMM), to full-blown MM alongside healthy donors, we demonstrate early immune changes during patient progression. We find NK cell abundance is frequently increased in early stages, and associated with altered chemokine receptor expression. As early as SMM, we show loss of GrK(+) memory cytotoxic T-cells, and show their critical role in MM immunosurveillance in mouse models. Finally, we report MHC class II dysregulation in CD14(+) monocytes, which results in T cell suppression in vitro. These results provide a comprehensive map of immune changes at play over the evolution of pre-malignant MM, which will help develop strategies for immune-based patient stratification.

TO THE EDITOR: Waldenstrom macroglobulinemia (WM) is a rare lymphoplasmacytic lymphoma associated with immunoglobulin M monoclonal gammopathy.[1][1] The majority of patients carry the L265P mutation in MYD88,[2][2] whereas 40% of patients carry mutations in CXCR4.[3][3] Mutation status has an

Elotuzumab, a recently approved antibody for the treatment of multiple myeloma, has been shown to stimulate Fcγ receptor (FcγR)-mediated antibody-dependent cellular cytotoxicity by natural killer (NK) cells toward myeloma cells. The modulatory effects of elotuzumab on other effector cells in the tumor microenvironment, however, has not been fully explored. Antibody-dependent cellular phagocytosis (ADCP) is a mechanism by which macrophages contribute to antitumor potency of monoclonal antibodies. Herein, we studied the NK cell independent effect of elotuzumab on tumor-associated macrophages using a xenograft tumor model deficient in NK and adaptive immune cells. We demonstrate significant antitumor efficacy of single-agent elotuzumab in immunocompromised xenograft models of multiple myeloma, which is in part mediated by Fc–FcγR interaction of elotuzumab with macrophages. Elotuzumab is shown in this study to induce phenotypic activation of macrophages in vivo and mediates ADCP of myeloma cells though a FcγR-dependent manner in vitro. Together, these findings propose a novel immune-mediated mechanism by which elotuzumab exerts anti-myeloma activity and helps to provide rationale for combination therapies that can enhance macrophage activity. Mol Cancer Ther; 17(7); 1454–63. ©2018 AACR.

Myeloma bone disease is a devastating complication of multiple myeloma (MM) and is caused by dysregulation of bone remodeling processes in the bone marrow microenvironment. Previous studies showed that microRNA-138 (miR-138) is a negative regulator of osteogenic differentiation of mesenchymal stromal cells (MSCs) and that inhibiting its function enhances bone formation in vitro. In this study, we explored the role of miR-138 in myeloma bone disease and evaluated the potential of systemically delivered locked nucleic acid (LNA)-modified anti-miR-138 oligonucleotides in suppressing myeloma bone disease. We showed that expression of miR-138 was significantly increased in MSCs from MM patients (MM-MSCs) and myeloma cells compared to those from healthy subjects. Furthermore, inhibition of miR-138 resulted in enhanced osteogenic differentiation of MM-MSCs in vitro and increased the number of endosteal osteoblastic lineage cells (OBCs) and bone formation rate in mouse models of myeloma bone disease. RNA sequencing of the OBCs identified TRPS1 and SULF2 as potential miR-138 targets that were de-repressed in anti-miR-138-treated mice. In summary, these data indicate that inhibition of miR-138 enhances bone formation in MM and that pharmacological inhibition of miR-138 could represent a new therapeutic strategy for treatment of myeloma bone disease.

Immunization with the conjugated quadrivalent (serogroups A, C, Y, and W-135) meningococcal vaccine (MCV4) after hematopoietic cell transplantation (HCT) is recommended. However, immune responses to MCV4 have not been prospectively studied after HCT. We conducted a vaccine response study among 67 adults who received 1 MCV4 dose a year after autologous or allogeneic HCT from January to September 2014. Pre- and postvaccination serogroup serum bactericidal antibody (SBA) titers were measured a median of 57 days after vaccination. Serogroup-specific responses were defined as a fourfold increase in SBA titer with postvaccination titers ≥1:8. Prior to vaccination, 44 (65.7%) patients had no protective titers (

Purpose: Tumor cell–platelet interactions contribute to tumor progression and metastasis in solid tumors. However, the role of platelets in hematological malignancies is not clear. We investigated the association of platelet activation status with clinical stages in multiple myeloma (MM) patients and explored the role of platelets in MM progression. Experimental Design: Platelets were obtained from healthy donors and MM patients. We examined platelet activation status in MM patients by flow cytometry and transmission electron microscopy. We also observed the enriched pathways that are involved with platelet activation in RNA sequencing of platelets. MM cell lines were used to assess the effect of platelets on MM cell proliferation in vitro and their engraftment in vivo. RNA sequencing of MM cell lines was performed to explore molecular mechanisms underlying MM cell–platelet interaction and a CRISPR/Cas9 knockout approach was used for validation. Results: Platelets from MM patients were highly activated with disease progression. RNA sequencing of platelets revealed that genes involved in platelets were enriched in patients with smoldering MM (SMM) or MM. Platelets promoted MM cell proliferation in vitro and contributed to tumor engraftment in bone marrow in vivo. RNA sequencing revealed that IL-1β was upregulated in MM cell lines co-cultured with platelets, whereas IL-1β knockout in MM cell lines abrogated the effects of platelets on MM cell proliferation and engraftment in vivo. Conclusions: Platelets from MM patients were highly activated with disease progression. IL-1β is critical to platelet-mediated MM progression and might be a potential target for MM treatment. Clin Cancer Res; 24(10); 2430–9. ©2018 AACR.

Liquid biopsies including circulating tumor cells (CTCs) and cell-free DNA (cfDNA) have enabled minimally invasive characterization of many cancers, but are rarely analyzed together. Understanding the detectability and genomic concordance of CTCs and cfDNA may inform their use in guiding cancer precision medicine. Here, we report the detectability of cfDNA and CTCs in blood samples from 107 and 56 patients with multiple myeloma (MM), respectively. Using ultra-low pass whole-genome sequencing, we find both tumor fractions correlate with disease progression. Applying whole-exome sequencing (WES) to cfDNA, CTCs, and matched tumor biopsies, we find concordance in clonal somatic mutations (~99%) and copy number alterations (~81%) between liquid and tumor biopsies. Importantly, analyzing CTCs and cfDNA together enables cross-validation of mutations, uncovers mutations exclusive to either CTCs or cfDNA, and allows blood-based tumor profiling in a greater fraction of patients. Our study demonstrates the utility of analyzing both CTCs and cfDNA in MM., Circulating tumor cells (CTCs) and cell-free DNA (cfDNA) enables characterization of a patient’s cancer. Here, the authors analyse CTCs, cfDNA, and tumor biopsies from multiple myeloma patients to show these approaches are complementary for mutation detection, together enabling a greater fraction of patient tumors to be profiled.

The tumor suppressors B-lymphocyte-induced maturation protein-1 (BLIMP-1) and p53 play a crucial role in B-cell lymphomas, and their inactivation contributes to the pathogenesis of a wide spectrum of lymphoid malignancies, including diffuse large B-cell lymphomas (DLBCLs). Patients with activated B-cell-like (ABC) DLBCL may present with loss of BLIMP-1, c-Myc over-expression, decreased p53, and poor prognosis. Nevertheless, there is a lack of in vivo models recapitulating the biology of high-grade ABC DLBCL. We therefore aimed to develop an in vivo model aiming to recapitulate the phenotype observed in this cohort of patients. A Cre-Lox approach was used to achieve inactivation of both p53 and BLIMP-1 in murine B-cells. Contextual ablation of BLIMP-1 and p53 led to development of IgM-positive B-cell lymphoma with an aggressive phenotype, supported by c-Myc up-regulation, and accumulation of somatic mutations, as demonstrated by whole exome sequencing. Sensitivity of B-tumor cells to BTK inhibition was demonstrated. This model mirrors what reported in patients with ABC DLBLC, and therefore represents a novel model for studying the biology of ABC-DLBCL harboring the dual loss of BLIMP-1/p53 and c-Myc over-expression.

The development of sensitive and non-invasive “liquid biopsies” presents new opportunities for longitudinal monitoring of tumor dissemination and clonal evolution. The number of circulating tumor cells (CTCs) is prognostic in multiple myeloma (MM), but there is little information on their genetic features. Here, we have analyzed the genomic landscape of CTCs from 29 MM patients, including eight cases with matched/paired bone marrow (BM) tumor cells. Our results show that 100% of clonal mutations in patient BM were detected in CTCs and that 99% of clonal mutations in CTCs were present in BM MM. These include typical driver mutations in MM such as in KRAS, NRAS, or BRAF. These data suggest that BM and CTC samples have similar clonal structures, as discordances between the two were restricted to subclonal mutations. Accordingly, our results pave the way for potentially less invasive mutation screening of MM patients through characterization of CTCs., United States. National Institutes of Health (R01 CA181683-01A1), American Association for Cancer Research (15-40-38-PAIV)

Despite significant advances in the treatment of multiple myeloma (MM), most patients succumb to disease progression. One of the major immunosuppressive mechanisms that is believed to play a role in myeloma progression is the expansion of regulatory T cells (Tregs). In this study, we demonstrate that myeloma cells drive Treg expansion and activation by secreting type 1 interferon (IFN). Blocking IFN α and β receptor 1 (IFNAR1) on Tregs significantly decreases both myeloma-associated Treg immunosuppressive function and myeloma progression. Using syngeneic transplantable murine myeloma models and bone marrow (BM) aspirates of MM patients, we found that Tregs were expanded and activated in the BM microenvironment at early stages of myeloma development. Selective depletion of Tregs led to a complete remission and prolonged survival in mice injected with myeloma cells. Further analysis of the interaction between myeloma cells and Tregs using gene sequencing and enrichment analysis uncovered a feedback loop, wherein myeloma-cell-secreted type 1 IFN induced proliferation and expansion of Tregs. By using IFNAR1-blocking antibody treatment and IFNAR1-knockout Tregs, we demonstrated a significant decrease in myeloma-associated Treg proliferation, which was associated with longer survival of myeloma-injected mice. Our results thus suggest that blocking type 1 IFN signaling represents a potential strategy to target immunosuppressive Treg function in MM.

We examined the combination of the mammalian target of rapamycin inhibitor everolimus with bortezomib and rituximab in patients with relapsed/refractory Waldenstrom macroglobulinemia (WM) in a phase I/II study. All patients received six cycles of the combination of everolimus/rituximab or everolimus/bortezomib/rituximab followed by maintenance with everolimus until progression. Forty-six patients were treated; 98% received prior rituximab and 57% received prior bortezomib. No dose-limiting toxicities were observed in the phase I. The most common treatment-related toxicities of all grades were fatigue (63%), anemia (54%), leucopenia (52%), neutropenia (48%) and diarrhea (43%). Thirty-six (78%) of the 46 patients received full dose therapy (FDT) of the three drugs. Of these 36, 2 (6%) had complete response (90% confidence interval (CI): 1-16). In all, 32/36 (89%) of patients experienced at least a minimal response (90% CI: 76-96%). The observed partial response or better response rate was 19/36 (53, 90 CI: 38-67%). For the 36 FDT patients, the median progression-free survival was 21 months (95% CI: 12-not estimable). In summary, this study demonstrates that the combination of everolimus, bortezomib and rituximab is well tolerated and achieved 89% response rate even in patients previously treated, making it a possible model of non-chemotherapeutic-based combination therapy in WM.

Glycosylation is a frequent post-translational modification which results in the addition of carbohydrate determinants, "glycans", to cell surface proteins and lipids. These glycan structures form the "glycome" and play an integral role in cell-cell and cell-matrix interactions through modulation of adhesion and cell trafficking. Glycosylation is increasingly recognized as a modulator of the malignant phenotype of cancer cells, where the interaction between cells and the tumor micro-environment is altered to facilitate processes such as drug resistance and metastasis. Changes in glycosylation of cell surface adhesion molecules such as selectin ligands, integrins and mucins have been implicated in the pathogenesis of several solid and hematological malignancies, often with prognostic implications. In this review we focus on the functional significance of alterations in cancer cell glycosylation, in terms of cell adhesion, trafficking and the metastatic cascade and provide insights into the prognostic and therapeutic implications of recent findings in this fast-evolving niche.

Extra-medullary disease (EMD) in Multiple Myeloma (MM) is associated with poor prognosis and resistance to chemotherapy. However, molecular alterations that lead to EMD have not been well defined. We developed bone marrow (BM)- and EMD-prone MM syngeneic cell lines and identified that epithelial-to-mesenchymal-tranistion (EMT) transcriptional patterns were significantly enriched in the both clones compared to parental cells, together with higher levels of CXCR4 protein; and demonstrated that CXCR4 enhanced the acquisition of an EMT-like phenotype in MM cells with a phenotypic conversion for invasion, leading to higher bone metastasis and EMD dissemination in vivo. In contrast, CXCR4-silencing led to inhibited tumor growth and reduced survival. Ulocuplumab, a monoclonal anti-CXCR4 antibody, inhibited MM cell dissemination, supported by suppression of the CXCR4-driven EMT-like phenotype. These studies suggest that targeting CXCR4 may act as a regulator of EMD through EMT-like transcriptional modulation, thus representing a potential therapeutic strategy to prevent MM disease progression.

Drug resistance remains a major clinical challenge for cancer treatment. Multiple myeloma is an incurable plasma cell cancer selectively localized in the bone marrow. The main cause of resistance in myeloma is the minimal residual disease cells that are resistant to the original therapy, including bortezomib treatment and high-dose melphalan in stem cell transplant. In this study, we demonstrate that altered tumor cell metabolism is essential for the regulation of drug resistance in multiple myeloma cells. We show the unprecedented role of the metabolic phenotype in inducing drug resistance through LDHA and HIF1A in multiple myeloma, and that specific inhibition of LDHA and HIF1A can restore sensitivity to therapeutic agents such as bortezomib and can also inhibit tumor growth induced by altered metabolism. Knockdown of LDHA can restore sensitivity of bortezomib resistance cell lines while gain-of-function studies using LDHA or HIF1A induced resistance in bortezomib-sensitive cell lines. Taken together, these data suggest that HIF1A and LDHA are important targets for hypoxia-driven drug resistance. Novel drugs that regulate metabolic pathways in multiple myeloma, specifically targeting LDHA, can be beneficial to inhibit tumor growth and overcome drug resistance. Cancer Res; 75(10); 2071–82. ©2015 AACR.

International audience; Key Points • Two circulating exosomal microRNAs, let-7b and miR-18a, improved survival prediction in patients with MM. • Circulating exosomal miRNAs enhanced the stratification of patients with high-risk factors. Exosomes, secreted by several cell types, including cancer cells, can be isolated from the peripheral blood and have been shown to be powerful markers of disease progression in cancer. In this study, we examined the prognostic significance of circulating exosomal microRNAs (miRNAs) in multiple myeloma (MM). A cohort of 156 patients with newly diagnosed MM, uniformly treated and followed, was studied. Circulating exosomal miRNAs were isolated and used to perform a small RNA sequencing analysis on 10 samples and a quantitative reverse transcription polymerase chain reaction (qRT-PCR) array on 156 samples. We studied the relationship between miRNA levels and patient outcomes, including progression-free survival (PFS) and overall survival (OS). We identified miRNAs as the most predominant small RNAs present in exosomes isolated from the serum of patients with MM and healthy controls by small RNA sequencing of circulating exosomes. We then analyzed exosomes isolated from serum samples of 156 patients using a qRT-PCR array for 22 miRNAs. Two of these miRNAs, let-7b and miR-18a, were significantly associated with both PFS and OS in the univariate analysis and were still statistically significant after adjusting for the International Staging System and adverse cytogenetics in the multivariate analysis. Our findings support the use of circulating exosomal miRNAs to improve the identification of patients with newly diagnosed MM with poor outcomes. The results require further validation in other independent prospective MM cohorts. (Blood. 2017;129(17):2429-2436)

Obesity during maturation can affect the growing skeleton directly and indirectly, although these effects and the mechanisms behind them are not fully understood. Our objective was to determine how a high-fat diet with or without metformin treatment affects skeletal development. We also sought to characterize changes that occur in white adipose tissue, circulating metabolites, lipids, and gut microbiota. A diet-induced obesity C57BL/6J mouse model was used to test the effects of obesity and metformin on bone using bone histomorphometry and microcomputed tomography. Bone marrow adipose tissue was quantified with osmium tetroxide microcomputed tomography and histology. Dual-energy x-ray absorptiometry was used to analyze body composition. Hematoxylin and eosin staining was used to assess changes in white adipose depots, mass spectrometry was used for circulating lipids and protein metabolite analysis, and ribosomal RNA sequencing was used for gut microbiome analysis. Mice fed a high fat-diet since wean displayed increased medullary areas and decreased osteoblast numbers in the long bones; this phenotype was partially normalized by metformin. Marrow and inguinal adipose expansion was also noted in obese mice, and this was partially normalized by metformin. A drug-by-diet interaction was noted for circulating lipid molecules, protein metabolites, and gut microbiome taxonomical units. Obesity was not detrimental to trabecular bone in growing mice, but bone marrow medullary expansion was observed, likely resulting from inhibition of osteoblastogenesis, and this was partially reversed by metformin treatment.

Proline-rich tyrosine kinase 2 (Pyk2) is a member of the focal adhesion kinase family that has been recently linked to tumor development. However, its role in modulating multiple myeloma (MM) biology and disease progression remains unexplored. We first demonstrated that patients with MM present with higher expression of Pyk2 compared with healthy individuals. By using loss-of-function approaches, we found that Pyk2 inhibition led to reduction of MM tumor growth in vivo as well as decreased cell proliferation, cell-cycle progression, and adhesion ability in vitro. In turn, overexpression of Pyk2 promoted the malignant phenotype, substantiated by enhanced tumor growth and reduced survival. Mechanistically, inhibition of Pyk2 reduced activation of Wnt/β-catenin signaling by destabilizing β-catenin, leading to downregulation of c-Myc and Cyclin D1. Furthermore, treatment of MM cells with the FAK/Pyk2 inhibitor VS-4718 effectively inhibited MM cell growth both in vitro and in vivo. Collectively, our findings describe the tumor-promoting role of Pyk2 in MM, thus providing molecular evidence for a novel tyrosine kinase inhibitor as a new therapeutic option in MM.

Multiple myeloma is a malignancy of terminally differentiated plasma cells with a strikingly heterogeneous genomic landscape. Genetic alterations including t(4;14), and t(14;16) translocations alongside amplification of chromosome 1q21 are particularly associated with a poor outcome. Amplification of the long arm of chromosome 1 (1q) is among the most frequent copy number alterations encountered, with a confirmed adverse effect on survival. Gene expression profiling has identified a minimal common amplified region between 1q21 and 1q23 as a probable target of the amplification event, however the actionable gene dependencies in that region have not been explored. In this study, we employ a large number of inhouse and publicly available CRISPR, shRNA and drug screens in an effort to characterize the genetic dependencies of 1q-amplified myeloma and discover drugs that target them. Ultimately, we hope to propose a tailored therapeutic strategy for patients with 1q-amplified multiple myeloma. We employed a combination of publicly available (Project Achilles, Dependency Map) and in-house CRISPR and RNAi screens to identify differential dependencies of 1q+ MM. All data were pre-processed and analyzed consistently. Genes were filtered for evidence of both differential dependency and differential expression in 1q+ cell lines. A frequentist approach, prioritizing genes by the number of datasets they hit in, was combined with a gene-wise weighted linear model approach. Genes that hit in at least two datasets and were confirmed by the linear model were taken into consideration for Hallmark pathway analysis with GSEA. Cell cycle, c-Myc, mTOR/PI3K, DNA repair, p53, protein secretion and degradation all constitute major addictions in 1q+ MM and suggest differential sensitivity to corresponding compounds. We searched for differential drug sensitivities utilizing the Drug Repurposing Library as well as a CMap-guided screen. We identified as hits several compounds targeting both the ubiquitin and the cell cycle pathway, including PI3 kinase, PARP, NAMPT and GSK-3 inhibitors which act primarily through a G2/M block thus validating the dependencies discovered in our datasets. In conclusion, here we employed a combination of multiple in-house and publicly available CRISPR, shRNA and drug screens, in the largest to date effort to characterize and target the genetic dependencies of 1q-amplified multiple myeloma. Cell cycle and the ubiquitin pathway came up as strong dependencies, while the drugs that target them were indeed shown to preferentially kill 1q-amplified myeloma cell lines. Thus, for the first time, our results suggest that patients with 1q-amplified myeloma might benefit from genetically tailored treatment involving cell cycle and ubiquitin inhibitors or a combination. As 1q amplification is one of myeloma’s few frequent alterations, this discovery has the exciting potential to affect change in a large number of patients. Citation Format: Mairead Reidy, Romanos Sklavenitis-Pistofidis, Daisy Huynh, Karma Ziad Salem, Jihye Park, Siobhan Glavey, Salomon Manier, Irene Ghobrial. Study of genetic dependencies associated with 1q-amplified multiple myeloma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 2986.

In multiple myeloma (MM), despite well-characterized precursor states such as monoclonal gammopathy of undetermined significance (MGUS) and smoldering multiple myeloma (SMM), there is a lack of sufficient biomarkers to predict disease progression. Most genomic analyses have studied the malignant plasma cells, however, cancers form a complex ecosystem with the immune and stromal microenvironment. To characterize the cellular composition and transcriptional programs of each component of the tumor and microenvironment at different stages of MM progression, we employed single-cell RNA sequencing on 48K plasma and 40.8K immune microenvironmental cells from a cohort of 22 patients with varying stages of disease progression and 9 healthy donors. Expression profiles of plasma cells revealed clear tumor-specific differences in known oncogenic drivers in MM (MMSET/FGFR3, CCND1 and MAFB) as well as other clonally expressed genes (LAMP5, HIST1H1C, and AREG), distinguishing them from healthy plasma cells. We identified a subset of cycling plasma cells in malignant samples, observing a range of proliferative capacity across disease stages. Furthermore, our approach allowed a unique head-to-head comparison of gene expression changes in normal and malignant plasma cells from the same individual, revealing early alterations in genes related to immune modulation (NKBIA) or controlling transcription and differentiation (EID1). Some alterations were patient-specific, while others, such as MHC I overexpression and CD27 loss, were recurrently observed across subsets of the cohort. Analysis of the BM microenvironment demonstrated significant infiltration of natural killer cells, non-classical monocytes/macrophages, and T cells, even in the earliest stages of the disease. Further investigation revealed upregulation of MHC II expression at the mRNA level in CD14+ monocytes/macrophages and yet, intriguingly, analysis by CyTOF and immunohistochemistry revealed a shift towards intracellular localization of MHC II in these cells. Co-culture with MM cell lines was sufficient to induce the decrease of extracellular MHC II, providing strong evidence for MM-induced compromised antigen presentation by macrophages, and hinting at a mechanism of immune evasion. Together, our results provide a comprehensive view at the complex interplay of the immune and malignant cells in different stages of the disease. We demonstrate the immune response beginning in premalignant conditions to be heterogeneous, including compromised antigen presentation as well as alterations in cellular composition and signaling. Consideration of the type of immunological response may prove valuable in determination of progression risk, as well as open up potential strategies for therapy. Citation Format: Nicholas J. Haradhvala, Oksana Zavidij, Tarek H. Mouhieddine, Romanos Sklavenitis-Pistofidis, Jihye Park, Mairead Reidy, Abdallah Flaifel, Benjamin Ferland, Salomon Manier, Mark Bustoros, Daisy Huynh, Marzia Capelletti, Brianna Berrios, Mahshid Rahmat, Chia-Jen Liu, Meng Xiao He, Esteban Braggio, Rafael Fonseca, Yosef Maruvka, Jennifer Guerriero, Melissa Goldman, Eliezer Van Allen, Steven McCarroll, Jamil Azzi, Gad Getz, Irene M. Ghobrial. Single-cell RNA sequencing reveals compromised immune microenvironment in precursor stages of multiple myeloma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 139.

MYC is a major oncogenic driver of multiple myeloma (MM) and yet almost no therapeutic agents exist that target MYC in MM. Here we report that the let-7 biogenesis inhibitor LIN28B correlates with MYC expression in MM and is associated with adverse outcome. We also demonstrate that the LIN28B/let-7 axis modulates the expression of MYC, itself a let-7 target. Further, perturbation of the axis regulates the proliferation of MM cells in vivo in a xenograft tumor model. RNA-sequencing and gene set enrichment analyses of CRISPR-engineered cells further suggest that the LIN28/let-7 axis regulates MYC and cell cycle pathways in MM. We provide proof of principle for therapeutic regulation of MYC through let-7 with an LNA-GapmeR (locked nucleic acid-GapmeR) containing a let-7b mimic in vivo, demonstrating that high levels of let-7 expression repress tumor growth by regulating MYC expression. These findings reveal a novel mechanism of therapeutic targeting of MYC through the LIN28B/let-7 axis in MM that may impact other MYC-dependent cancers as well.

Introduction. Multiple myeloma (MM) is a complex and heterogeneous malignancy of plasma cells that has two precursor states: monoclonal gammopathy of undetermined significance (MGUS) and smoldering multiple myeloma (SMM). MGUS and SMM are asymptomatic states that eventually give rise to overt MM, with some patients progressing, while others do not. Recent studies in MM pathobiology have highlighted epigenetic alterations that contribute to the onset, progression and heterogeneity of MM. Global hypomethylation of DNA, including tumor suppressor genes, and hypermethylation of B-cell specific enhancers, abnormal histone methylation patterns due to the overexpression of histone methyltransferases such as MMSET, and deregulation of non-coding RNAs along with mutations in different classes of chromatin modulators underline a potential for epigenetic biomarkers in disease prognosis and treatment. This study aimed to define epigenetic pathways that lead to the dynamic regulation of gene expression in MM pathogenesis. Methods. We performed ATAC-seq (Assay for Transposase-Accessible Chromatin using sequencing) and RNA-seq on 10 MM cell lines and CD138+ plasma cells isolated from bone marrow aspirates of 3 healthy donors, 9 SMM, 8 newly diagnosed MM (NDMM) and 9 relapsed (RRMM) patients. ATAC-seq reads were trimmed of adapters, aligned to hg19 using bowtie2, and filtered for mapping quality >=Q30 using the ENCODE ATAC-seq pipeline. Reads mapping to promoter regions, defined as -400 to +250 bases from a refseq transcription start site, were counted using bedtools for each sample. Promoter read counts were then normalized by the total number of reads in promoters in the sample, scaled to 1 million total reads, and converted to log10(x+1) space. Results. To characterize the epigenetic contribution to disease progression in MM, we first identified accessible promoter regions in normal plasma cells (NPC), SMM, NDMM and RRMM patients and found regions displaying differential accessibility in MM progression. Next, we intersected the list of differential accessible regions (DARs) with matched transcriptome data and observed two main clusters: genes with unaltered transcription profiles and genes in which the dynamics of open chromatin regions (OCRs) correlated with gene expression. Transcriptomic analysis revealed that a large portion of the differentially expressed (DE) genes in SMM remain DE in NDMM as compared to NPCs (882 genes out of 1642 and 1150 DE genes in SMM and NDMM, respectively). Those genes were significantly enriched for pathways like epithelial mesenchymal transition, cell cycle checkpoints and mitosis, KRAS signaling and interleukin-JAK-STAT pathways. To investigate the genes that behaved differently among the stages of disease, we looked at differential accessibility and expression in NDMM and SMM samples, and integrated them with Whole-Genome Bisulfite-Sequencing and 450K DNA-methylation data from MM patients and healthy donors (BLUEPRINT). This analysis led to the identification of novel genes in MM progression, such as the transcriptional repressor ZNF254 and IRAK3, a negative regulator of the TLR/IL1R signaling pathway. Although gene expression data for these genes showed comparable mRNA levels in SMM and NPCs, followed by a significant decrease in NDMM/ RRMM, ATAC-seq revealed a striking drop in promoter accessibility in SMM, NDMM and RRMM cases. Comparison of ATAC-seq peaks to DNA methylation and ChIP-seq data revealed that the altered OCR of IRAK3 is actually hypermethylated in MM patients and marked by H3K4me3, a marker of active promoters, in MM cell lines. Hypermethylation of IRAK3 has been described in hepatocellular carcinoma, where it is associated with poor prognosis. Together, our data suggest that the identified IRAK3 OCR may act as a bivalent domain that loses accessibility in the precursor states and gains DNA methylation in MM progression. Hence, IRAK3 methylation could be a novel prognostic marker in MM. Conclusion. We have generated a global epigenetic map of primary tumors from patients at the smoldering, newly diagnosed and relapsed/refractory stage of multiple myeloma. Integrative analysis of ATAC-seq data with DNA methylome, transcriptome and whole-genome map of active and repressive histone marks in our study led to the identification of IRAK3 as a novel epigenetic biomarker of disease progression. Disclosures Licht: Celgene: Research Funding. Ghobrial:Takeda: Consultancy; BMS: Consultancy; Celgene: Consultancy; Janssen: Consultancy.

Introduction: Multiple Myeloma (MM) is a clonal plasma cell malignancy, accounting for 10% of all hematological malignancies. Genetic analyses of large populations revealed that blood-specific somatic mutations in hematopoietic stem cells (HSCs) are commonly acquired during aging, a new entity labeled: clonal hematopoiesis of indeterminate potential (CHIP). We sought to determine the role of CHIP on survival of MM patients, specifically those receiving immunomodulator (IMiD) maintenance (Lenalidomide or Thalidomide) post autologous stem cell transplant (ASCT). Methods: We collected the cryopreserved, growth factor mobilized peripheral blood of 629 MM patients who underwent ASCT between 2003 and 2011 at the Dana-Farber Cancer Institute (DFCI). Then, we performed targeted next-generation sequencing using a 224-gene panel at a mean depth of coverage of 978X and ultra-low pass whole-genome sequencing at 0.1X to account for tumor contamination. We downloaded (dbGAP # phs000748.v6.p4) the whole-exome sequencing (WES) data of a cohort of 1144 newly diagnosed, untreated MM patients from the Multiple Myeloma Research Foundation (MMRF) Clinical Outcomes in MM to Personal Assessment of Genetic Profile (CoMMpass, NCT0145429) study (MMRC) and the WES data of a cohort of 205 newly diagnosed, untreated MM patients from the Broad Institute dataset. We analyzed their peripheral blood (average coverage of 108X) and tumor (average coverage of 107X) data separately, looking for the same CHIP genes included in our target bait panel. Results: The DFCI cohort had a median age of 58 years [range, 24-83] at time of ASCT and median follow up post ASCT of 8 years [range, 0.1-14.5]. 204 patients (32%) in the DFCI cohort had CHIP at time of ASCT. The most commonly detected mutated genes were DNMT3A, TET2, TP53, ASXL1 and PPM1D. 24 patients (3.8%) developed a second hematological malignancy at a median of 4 years [range, 1-10] post ASCT, half of whom had CHIP. Around 48% of the DFCI cohort received IMiDs as part of induction therapy. Different induction regimens had no effect on CHIP prevalence at time of ASCT. Around 56% of the DFCI cohort received IMiD maintenance, 22% of which received maintenance for at least 3 years [range, 0.06-12.8]. Among those who did not receive IMiD maintenance, patients with CHIP had worse progression free survival (PFS) (p-value < 0.001) and overall survival (OS) (p-value = 0.005). In patients receiving IMiD maintenance, having CHIP had no effect on PFS or OS. On the other hand, the MMRF cohort had a median age of 63 years [range, 27-93] and median follow up of 3.03 years [range, 0-5.9] from time of diagnosis. Around 52% of that cohort underwent ASCT and around 76% of those received IMiD maintenance with a median follow up of 2.7 years [range, 0-5.5] from time of ASCT. Furthermore, 200 patients of the MMRF cohort have follow-up samples of both tumor and peripheral blood that had targeted sequencing done by a 562-gene panel that included our genes of interest. Similarly, when studying the genomic results of 139 out of 1144 MMRF patients, as well as the 205 patients from the Broad Institute dataset, we detected CHIP in 25.6% of them and the top 5 most commonly mutated genes were similar to those of our cohort. Conclusion: CHIP is a common entity among MM patients, reaching a prevalence of up to 32%, that predicts a worse PFS and OS in those who do not receive IMiD maintenance therapy post ASCT. As expected, IMiD maintenance improves outcome in MM patients, with and without CHIP. In patients with CHIP, the use of IMiDs abrogated the deleterious effect imposed by CHIP to a point that outcome is identical to that of patients without CHIP. Figure Figure. Disclosures Bustoros: Dava Oncology: Honoraria. Munshi:OncoPep: Other: Board of director. Anderson:Gilead: Membership on an entity's Board of Directors or advisory committees; OncoPep: Equity Ownership, Other: Scientific founder; Celgene: Consultancy; C4 Therapeutics: Equity Ownership, Other: Scientific founder; Bristol Myers Squibb: Consultancy; Millennium Takeda: Consultancy. Richardson:Oncopeptides: Membership on an entity's Board of Directors or advisory committees; BMS: Research Funding; Janssen: Membership on an entity's Board of Directors or advisory committees; Karyopharm: Membership on an entity's Board of Directors or advisory committees; Jazz Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Amgen: Membership on an entity's Board of Directors or advisory committees; Takeda: Membership on an entity's Board of Directors or advisory committees, Research Funding. Soiffer:Jazz Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees. Ghobrial:Celgene: Consultancy; Janssen: Consultancy; BMS: Consultancy; Takeda: Consultancy.

Introduction: In multiple myeloma (MM), despite well-characterized precursor states such as monoclonal gammopathy of undetermined significance (MGUS) and smoldering multiple myeloma (SMM), there is a lack of sufficient biomarkers to predict mechanisms of disease progression. Most genomic analyses have sought biomarkers by study of the malignant plasma cells, however, cancers form a complex ecosystem with the immune and stromal microenvironment. Thus, to characterize the cellular composition and transcriptional programs of each component of the tumor and microenvironment at different stages of MM progression, we employed a single-cell RNA sequencing on a cohort of 22 patients and 9 healthy donors. Methods: We performed 10X droplet-based single-cell RNA sequencing using CD138-expressing plasma cells and microenvironmental populations isolated from bone marrow (BM) aspirates of patients with MGUS (n=6), low-risk SMM (n=3), high-risk SMM (n=13), newly diagnosed MM (n=8) and from 9 healthy donors (NBM). We collected a total of ~88.8K cells, comprising ~48K CD138+ cells (~36.4 from MM stages) and ~40.8K CD45+/CD138- cells (~30.8 from MM stages).Raw read data was processed using the Cell Ranger pipeline to obtain a gene-by-cell expression matrix, which was used to identify cell types and transcriptional programs by clustering and non-negative matrix factorization. Results: Expression profiles of plasma cells revealed clear tumor-specific differences including known oncogenic drivers in MM (MMSET/FGFR3, CCND1 and MAFB) as well as Lysosome-associated Membrane Protein 5 (LAMP5),Histone Cluster 1 H1 Family Member C (HIST1H1C) and Amphiregulin (AREG) distinguishing them from healthy plasma cells. We identified a subset of cycling plasma cells, observing a range of proliferative activity of the malignant fraction. Furthermore, our approach allowed a unique head-to-head comparison of gene expression changes in normal and malignant plasma cells in the MGUS and SMM patients within an individual, excluding inter-individual variation. We were able to discriminate malignant from non-malignant plasma cells and identify transcriptional alterations including known drivers, genes related to immune modulation (NKBIA) or controlling transcription and differentiation (EID1).Some alterations were patient-specific, while others, such as MHC I overexpression and CD27 loss, were recurrently observed across subsets of the cohort. Analysis of BM microenvironment in several stages of MM progression demonstrated a striking shift in the composition of immune cells with significant infiltration of natural killer cells, non-classical monocytes/macrophages, and T cells, enriched even in the earliest stages of the disease. Further investigation revealed significant upregulation of HLA expression at the mRNA level in CD14+ monocytes/macrophages. Intriguingly, comparison of healthy and patient samples by CyTOF showed downregulation of surface MHC II representation in the corresponding cell type, and moreover, co-culture with MM cell lines induced a sharp decrease of extracellular MHC II. This provided strong evidence for compromised antigen presentation by macrophages in the disease setting, hinting at a mechanism of immune evasion. Additionally, expression signatures in cytotoxic T-cells indicated a substantial skewing towards either granzyme B/H- or granzyme K-expressing memory cell-like transcriptional program. In a subgroup of patients, we found a strong simultaneous enrichment of the anti-viral/anti-bacterial gene expression signature for interferon type-1 activated genes in CD14+ monocytes/macrophages and T cells. Together, our results provide a comprehensive view at the complex interplay of the immune and malignant cells in different stages of the disease. We, for the first time, demonstrate the immune response beginning in premalignant conditions to be heterogeneous, including compromised antigen presentation as well as alterations in cellular composition and signaling. Consideration of the type of immunological response may prove valuable in determination of progression risk, as well as open up potential strategies for therapy. Disclosures Bustoros: Dava Oncology: Honoraria. Ghobrial:Celgene: Consultancy; Janssen: Consultancy; BMS: Consultancy; Takeda: Consultancy.

Introduction: Multiple Myeloma (MM) is a genetically complex and evolutionary process with well defined precursor states, which offer a unique opportunity to study the sequential evolution of the disease. A small number of detectable pre-malignant clones are present in early stage and continue to acquire more genomic abnormalities leading to overt disease. The interaction between cancer cells and their environment is reciprocal, multiple components in the tissue environment can influence cancer clonal evolution and cancer cells in turn can also remodel the microenvironment and further disseminate to spatially separated areas of BM. To accurately predict the course of disease with the presence of BM environment, we require methods to estimate clone-specific growth rates and define clones that have the propensity of dissemination. Methods: We developed a novel 'bone chip' MM metastatic xenograft model using fluorescent protein tagged 'rainbow' system which enables both molecular profiling and functional tracking of clonal dissemination of tumor cells by performing tumor-bearing bone chip implantation subcutaneously to SCID-beige mice (SCID-murine model). Rainbow MM cells with equal proportion of all 15 colors were injected into donor femurs and implanted into recipient mice. After paralysis, the mice were sacrificed and tumor cells were analyzed using flow cytometry and confocal microscopy. Tumor clones in the implanted bone chip (primary sites) and distant host BM (metastatic sites) were purified by sorting and underwent RNA sequencing. By intersecting differentially expressed genes, we identified a set of genes, the expression of which were altered during disease dissemination and designated this set of genes as 'metastatic signature'. In addition, we also performed genome-wide CRISPR/Cas9-mediated loss-of-function screen in a subcutaneous xenograft mouse model to investigate the essential drivers of tumor growth and metastasis in MM. The cell library infected with human sgRNA library was injected subcutaneously into SCID-Beige mice on both flanks. When metastasis was established, the fractions of each sgRNA of the primary and metastatic tumors were calculated to identify genes that facilitate tumor metastasis. Results: We found that the 15 rainbow subpopulations were present with equal distribution in the primary sites but not at the metastatic sites. Confocal imaging showed the difference in cluster structures between primary and metastatic tumors. Most of the clusters in the metastatic sites consisted of cells of single colors. RNA sequencing analysis of two human MM cell lines derived from SCID-murine model demonstrated a distinct gene expression profile of the metastatic tumors. Gene Set Enrichment Analysis of the metastatic signature in publicly available MM patient datasets (GSE6477 and GSE2658) demonstrated that this signature is significantly correlated with overall survival and with clinical progression from MGUS/smoldering MM to overt myeloma and relapsed disease. Through genome-wide CRISPR screening in vivo, we found that the gene targets of the most enriched sgRNAs in the BM samples were preferentially involved in important cellular processes, such as cell cycle regulation and several oncogenic signaling pathways. Additionally, many sgRNAs that remained the implanted sites until late stage were depleted during dissemination, indicating their targeted genes were important for progression. These depleted sgRNAs mainly targeted genes involved in mTORC1 and DNA repair pathways, many of which are regulated by MYC and cell cycle related targets of E2F transcription factors. By using a network-based inference of protein activity method, we chose 4 genes (HMGA1, KLF6, TRIM28 and PA2G4) and validated in SCID-murine model using CRISPR mediated loss-of-function screen which prioritized HMGA1 as the key regulator in MM dissemination. Conclusions: Here, we demonstrate that in vivo clonal evolution can be characterized using an in vivo model of MM. The data defines specific subclones that have a higher metastatic potential and are likely driver clones for tumor metastasis in MM. We then established a platform for future invivo CRISPR screens to investigate essential genes of response to targeted therapies and/or immunotherapies. Furthermore, a metastatic gene signature was identified and among these, HMGA1 was validated as potential regulator of MM metastasis. Disclosures Roccaro: AMGEN: Other: Advisory Board; GILEAD: Research Funding. Ghobrial:Takeda: Consultancy; Celgene: Consultancy; BMS: Consultancy; Janssen: Consultancy.

Introduction Multiple myeloma is an incurable plasma cell malignancy with a strikingly heterogeneous genomic landscape. Other than IgH translocations and hyperdiploidy, only a few alterations are observed in large enough numbers. Amplification of the long arm of chromosome 1 (1q) is among the most common copy number alterations encountered, with a confirmed adverse effect on survival. Gene expression profiling has identified a minimal common amplified region between 1q21 and 1q23 as a probable target of the amplification event, however the actionable gene dependencies in that region have not been explored. In this study, we employ a large number of in-house and publicly available CRISPR, shRNA and drug screens in an effort to characterize the genetic dependencies of 1q-amplified myeloma and discover drugs that target them. Ultimately, we hope to propose a tailored therapeutic strategy for patients with 1q-amplified multiple myeloma. Methods To assess the genetic dependencies of 1q-amplified myeloma, we performed an shRNA screen in multiple myeloma cell lines, targeting genes in the 1q21-1q23 region. Corresponding C911 hairpins were designed for every target shRNA, and DEMETER2 was used to infer on-target effect. To that same end, we analyzed publicly available dependency data from Project Achilles (Whole-genome CRISPR screen, Avana library, 18Q4 release) and Dependency Map (combined RNAi dataset, accessed on 6/20/2018) and looked for differential dependencies in 1q-amplified multiple myeloma cell lines. Different sets of 1q-amplified and non-amplified cell lines were included in each dataset to avoid cell line-specific effects. Genes that both constituted differential dependencies and were differentially expressed were considered as hits. GSEA was used for pathway analysis. To assess differential sensitivity of 1q-amplified myeloma to drugs, we performed a drug screen utilizing the Broad Institute's Drug Repurposing Library-a library of over 5,000 drugs that have cleared varied stages of clinical testing, and compared normalized viability values between 1q-amplified and non-amplified myeloma cell lines. Utilizing publicly available patient data, we also built a 1q-amplification gene expression signature and used it to query the Connectivity Map (CMap) database. Drugs that were predicted to reverse our signature were then used in a new drug screen of myeloma cell lines. Results Through multiple dependency screens, we identified a total of 206 differential dependencies in 1q-amplified myeloma. Out of those, 46 came up in two screens (double hits), while 4 came up in all three datasets (triple hits). CLK-2, a serine/threonine and tyrosine kinase involved in mRNA splicing and POLR3C, a gene encoding a subunit of RNA-polymerase III, were among the triple hits. MCL-1, UBQLN4, CERS2, JTB, BCL9 and PEX19 were among the double hits. With at least four members affected (UBQLN4, UBE2Q1, UBAP2L and UBE2T), the ubiquitin pathway came up as an important differential dependency, while GSEA identified cell cycle as another pathway of essentiality in 1q-amplified multiple myeloma. Next, we searched for differential drug sensitivities utilizing the Drug Repurposing Library as well as a CMap-guided screen, as described above. We identified as hits several compounds targeting the MDM2 ubiquitin ligase as well as compounds related to cell cycle control, including PARP inhibitors and chemotherapeutic agents like fludarabine, thus validating the dependencies discovered in our datasets. Conclusion We employed a combination of multiple in-house and publicly available CRISPR, shRNA and drug screens, in the largest to date effort to characterize and target the genetic dependencies of 1q-amplified multiple myeloma. Cell cycle and the ubiquitin pathway came up as strong dependencies, while the drugs that target them were indeed shown to preferentially kill 1q-amplified myeloma cell lines. Thus, for the first time, our results suggest that patients with 1q-amplified myeloma might benefit from genetically tailored treatment involving cell cycle and ubiquitin inhibitors or a combination thereof. And inasmuch as 1q amplification is one of myeloma's few frequent alterations, this discovery has the exciting potential to affect change in a large number of patients. Disclosures Leleu: BMS: Honoraria, Other: steering committee membership ; Janssen: Honoraria, Other; Merk: Honoraria, Other: steering committee membership ; Takeda: Honoraria, Other: steering committee membership ; Amgen: Honoraria, Other: steering committee membership ; Sanofi: Honoraria, Other: steering committee membership steering committee membership ; Novartis: Honoraria, Other: steering committee membership ; Roche: Honoraria; Gilead: Honoraria; Incyte: Honoraria, Other: steering committee membership ; Karyopharm: Honoraria; Celgene: Honoraria, Other: steering committee membership . Ghobrial:Takeda: Consultancy; Janssen: Consultancy; Celgene: Consultancy; BMS: Consultancy.

Waldenström Macroglobulinemia (WM) is a low-grade B-cell lymphoma characterized by disease progression from IgM MGUS to asymptomatic and then symptomatic disease states. We profiled exosomes from the peripheral blood of patients with WM at different stages (30 smoldering/asymptomatic WM, 44 symptomatic WM samples and 10 healthy controls) to define their role as potential biomarkers of disease progression. In this study, we showed that circulating exosomes and their miRNA content represent unique markers of the tumor and its microenvironment. We observed similar levels of miRNAs in exosomes from patients with asymptomatic (smoldering) and symptomatic WM, suggesting that environmental and clonal changes occur in patients at early stages of disease progression before symptoms occur. Moreover, we identified a small group of miRNAs whose expression correlated directly or inversely with the disease status of patients, notably the known tumor suppressor miRNAs let-7d and the oncogene miR-21 as well as miR-192 and miR-320b. The study of these miRNAs' specific effect in WM cells could help us gain further insights on the mechanisms underlying WM pathogenesis and reveal their potential as novel therapeutic targets for this disease.

Introduction: Multiple Myeloma (MM) is a clonal plasma cell malignancy, accounting for 10% of all hematological malignancies. Genetic analyses of large populations revealed that blood-specific somatic mutations in hematopoietic stem cells (HSCs) are commonly acquired during aging, a new entity labeled: clonal hematopoiesis of indeterminate potential (CHIP). We sought to determine the role of CHIP on survival of MM patients, specifically those receiving immunomodulators (IMiDs) maintenance (Lenalidomide or Thalidomide) post autologous stem cell transplant (ASCT). Methods: We tested cryopreserved HSCs of 629 MM patients who underwent ASCT between 2003 and 2011 at the Dana-Farber Cancer Institute. We used a target bait panel of 224 genes and performed deep-targeted sequencing at 978x coverage and ultra-low pass whole-genome sequencing at 0.1x to account for tumor contamination. Sequencing data was analyzed using ichorCNA, MuTect, and Strelka and mutation annotations were based on reported mutations in the literature and databases (ClinVar, COSMIC, cBioPortal, TCGA, and ExAC). Results: Our cohort had a median age of 58 years [24-83] at time of ASCT and median follow up post ASCT of 8 years [0.1-14.5]. 24% of patients had CHIP at time of ASCT, which is statistically similar to the 30% reported in non-Hodgkin's lymphoma (NHL), (Gibson et. al, JCO, 2017). The most commonly detected mutated genes were DNMT3A, TET2, TP53 and ASXL1. Acquiring mutations positively correlated with age (p=0.004). In contrast to NHL, PPM1D was not significantly mutated in MM (40% vs. 3.3%). 27 patients (4.3%) developed a second hematological malignancy at median of 4 years [1-10] post ASCT, of which 10 had CHIP. 22% received at least 3 years [0.06-12.8] of IMiD maintenance. Among those who did not receive IMiD maintenance, CHIP was associated with worse progression free survival (PFS) (p=0.047) where PFS at 3 years post ASCT was 31% (95%CI: 25-38) for those without CHIP vs. 15% with CHIP (95%CI: 7-25). In patients with IMiD maintenance, CHIP had no effect on PFS or overall survival (OS) (p=0.9). In patients with CHIP, receiving IMiD was associated with a better OS and PFS below the age of 58 and better PFS only in those above 58. In the overall cohort, CHIP was not associated with more adverse outcomes, which could be attributed to low OS and PFS in MM or the use of IMiD in 56% of this cohort. IMiD maintenance was associated with better OS (p Conclusion: CHIP is a common entity among MM patients that predicts a worse PFS in those who do not receive IMiD maintenance therapy post ASCT. The use of IMiDs abrogated the deleterious effect imposed by CHIP in this cohort. Larger cohorts with longer follow up are needed, especially in the era of novel agents and long-term use of Lenalidomide maintenance. Citation Format: Tarek H. Mouhieddine, Jihye Park, Robert Redd, Christopher J. Gibson, Salomon Manier, Amin Nassar, Kalvis Hornburg, Marzia Capelletti, Daisy Huynh, Romanos Sklavenitits Pistofidis, Mark W. Bustoros, Saud H. AlDubayan, Brendan Reardon, Cody J. Boehner, Henry Dumke, Chia-Jen Lui, Darlys Schott, Eliezer M. Van Allen, Robert L. Schlossman, Nikhil C. Munshi, Kenneth C. Anderson, David P. Steensma, Jacob P. Laubach, Paul G. Richardson, Jerome Ritz, Benjamin L. Ebert, Robert J. Soiffer, Donna Neuberg, Irene M. Ghobrial. Immunomodulator maintenance post autologous stem cell transplant predicts better outcome in multiple myeloma patients with clonal hematopoiesis of indeterminate potential [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 2954.

Metastasis is a phenomenon of crucial importance in defining prognosis in patients with cancer and is often responsible for cancer-related mortality. It is known that several steps are necessary for clonal cells to disseminate from their primary tumor site and colonize distant tissues, thus originating metastatic lesions. Therefore, investigating the molecular actors regulating this process may provide helpful insights in the development of efficient therapeutic responses. Recent evidences have indicated the role of microRNAs (miRNAs) in modulating the metastatic process in solid tumors. miRNAs are small regulatory non-coding RNAs that bind to specific target mRNAs, leading to translational repression. miRNAs are known to act as negative regulators of gene expression and are involved in the regulation of biological processes, including cell growth, differentiation and apoptosis, both in physiological conditions and during diseases, such as tumors. In the specific field of tumorigenesis, miRNAs play an important role in mediating oncogenesis and favoring tumor progression, as a result of their ability to modulate epithelial-to-mesenchymal transition (EMT) and other series of events facilitating the formation of metastasis. The role of miRNAs in cancer development has been widely studied and has helped elucidate events such as the change in expression of oncogenes, tumor-suppressors and cancer-related proteins. This review focuses on the mechanisms underlying the role of miRNAs as part of the metastatic process.

Introduction: Recent data shows that multiple myeloma (MM) almost always arises from precursor states called Monoclonal Gammopathy of Undetermined Significance (MGUS) and Smoldering Multiple Myeloma (SMM), but not all patients with MGUS or SMM develop MM. Risk factors of progression for SMM patients are largely based on tumor load as represented by an M-protein ≥ 3 g/dL, a free light chain (FLC) ratio outside the range of 0.125 to 8, and ≥ 10% plasma cells in the BM. However, the genetic lesions that underlie progression, the molecular factors that cause rapid versus slow progression, and the factors that distinguish the relatively indolent MGUS from SMM are not well known. Further, the genomic landscape of SMM is not well characterized. One potential factor is MYC overexpression. Bergsagel et al. have found that MYC levels increase when comparing MGUS, SMM and overt MM. Other frequently altered pathways in MM are NF-kB, MAPK and DNA damage. In addition, limited studies of paired SMM and MM samples show that in many cases, the aggressive subclones can already be detected, in small cell fractions, before overt MM develops. However, the cause of progression to MM is unclear, in large part because sequential genomic studies of MGUS/SMM progression have yet to be undertaken. To address these questions, in this study we examine clinically-annotated samples from patients with SMM. Methods: We performed whole exome sequencing (WES) (mean target coverage 50X/100X) on 49 germline-tumor matched samples from patients with SMM (DNA from bone marrow CD138+ plasma cells matched with germline DNA from peripheral blood mononuclear cells). Libraries were constructed using Agilent SureSelect XT2 library prep kit, and hybridized to Agilent's whole exome V5+UTR capture probes and then sequenced on HiSeq 2500 (Illumina). We also performed targeted deep sequencing using a custom enrichment bait set on 25 samples of progressor (n=12) and non-progressor (n=13) SMM samples. Libraries were also constructed with Agilent SureSelect XT2 library prep kit and enriched by hybridizing to an in-house designed customized target bait, then sequenced on HiSeq 2500. Sequencing data were analyzed using previously established analytic pipelines including MuTect, RecapSeg, GISTIC, MutSig, and ABSOLUTE. Results: The number of Somatic Single Nucleotide Variants (SSNVs) seen in SMM ranged from 1 to 98 nonsilent mutations with an average of 1.14 mutations/Mb, which is slightly lower than MM (1.6 mutations/Mb) from previous studies (p-value=0.05). This large and varying range of mutational load among samples suggests that SMM is likely a heterogenous entity where some patients are closer to MGUS and others closer to MM. We identified likely drivers in SMM in about ~32% of the samples, including mutations in MM candidate driver genes such as NRAS, KRAS and PTPN11(overall 36 events were present in COSMIC). SMM also had somatic CNAs in about ~50% of SMM samples, such as hyperdiploidy, gain of chromosome 1q, deletion of 13p and 17p, which match the hallmark chromosome changes seen in MM. Comparing deep targeted sequencing of 100 genes (mean target coverage 361X) in samples from 12 SMM patients who progressed to myeloma vs. 13 SMM patients who did not, we found non-synonymous mutations exclusive to progressors, suggesting that with more samples we may find genetic alterations that predict progression in SMM. Conclusion: This study demonstrates that WES and targeted sequencing of SMM patients can detect MM candidate driver genes as well as hallmark CNAs seen in MM patients. Further, there may be potential different mutational features between progressors and non-progressors. Thus, this approach can be used to identify genetic drivers of clonal progression from MGUS/SMM to MM that may present opportunities for early therapeutic intervention and prevention of disease progression. Disclosures Roccaro: Takeda Pharmaceutical Company Limited: Honoraria. Ghobrial:Takeda: Honoraria; Noxxon: Honoraria; Amgen: Honoraria; Novartis: Honoraria; BMS: Honoraria, Research Funding; Celgene: Honoraria, Research Funding.

Introduction: Recent data show that Multiple Myeloma (MM) always progresses from a precursor state (monoclonal gammopathy of undetermined significance [MGUS]/smoldering multiple myeloma [SMM]) to overt MM indicating that there is continuous dissemination/clonal evolution of tumor cells from the original stages of tumor development to the time of clinical presentation. A major challenge in understanding the progression and metastasis of MM is to distinguish alterations driving the tumor growth and evolution from passenger mutations. Genetic screens are powerful tools for assaying phenotypes and identifying causal genes in various hallmarks of cancer progression. The clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated (Cas) system has emerged as a powerful technology to efficiently and simultaneously perform genome editing of multiple genes. Here we report a genome-wide CRISPR/Cas9-mediated loss of function screen in a xenograft mouse model to investigate the essential drivers of tumor growth and metastasis in MM. Methods: Lentiviral particles from 2 subpools of a human sgRNA library (Avana), each containing 1 sgRNA per gene were introduced into MM1.S (Cas9+/GFP+/Luc+) cell line with the pre-determined amount of virus to achieve 30-50% infection efficiency, corresponding to a multiplicity of infection (MOI) of ~0.5-1. Cells were selected with puromycin for 5-7 days following infection to remove uninfected cells. Selected cells were injected subcutaneously into SCID-Beige mice on both flanks. Genomic DNA from pre-transplantation cells, early primary tumors (~3 weeks post tumor cell injection), late stage primary tumors and metastatic bone marrow samples were extracted. gDNA was amplified following adaptor ligation and barcoding of the samples and PCR products were subsequently sequenced on a HiSeq2000 (Illumina). Results: To investigate the sgRNA library dynamics in different sample types (pre-transplantation cells, early primary tumor, late primary tumor, and bone marrow metastasis), we compared the overall distributions of sgRNAs from all sequenced samples. The early tumor sample replicates of both subpools on average retained 77.3% and 94.7% of the sgRNAs found in the pre-transplanted cell populations, while the late primary tumors retained 59.4% and 65.6% of the sgRNAs respectively, compared to early tumors. Interestingly, only a small fraction of sgRNAs (1.1% and 3.4% of sgRNAs in the pre-transplantation cells, 10.7% and 7.2% of sgRNAs in the late primary tumors for the 2 subpools respectively) were detected in the metastatic bone marrow samples. Using gene set enrichment analysis (GSEA), we found that the gene targets of the most enriched sgRNAs in the bone marrow samples were preferentially involved in important cellular processes, such as cell cycle regulation, protein translation, and several signaling pathways. Additionally we compared sgRNAs present in early primary tumor versus pre-transplantation cells and late primary tumor and found that many sgRNAs were depleted during tumor progression, indicating that their target genes were important for progression. These depleted sgRNAs in both stages mainly targeted genes involved in mTORC1 and DNA repair pathways, many of which are regulated by MYC and cell cycle related targets of E2F transcription factors. Conclusion: We established a platform for future in vivo Cas9 screens using the genome-wide CRISPR screening libraries to explore potential new targets in regulating tumor dissemination, colonization and metastasis in MM. In addition, this in vivo screening could potentially be used to investigate essential genes of response to targeted therapies or/and immunotherapies. Thus, CRISPR/Cas9-based in vivo screening is a powerful tool for functional genomics discoveries. Disclosures Roccaro: Takeda Pharmaceutical Company Limited: Honoraria. Ghobrial:BMS: Honoraria, Research Funding; Celgene: Honoraria, Research Funding; Novartis: Honoraria; Takeda: Honoraria; Noxxon: Honoraria; Amgen: Honoraria.

Introduction The bone marrow (BM) microenvironment in multiple myeloma (MM) plays a pivotal role in tumor growth and bone destructive process. Mesenchymal stromal cells (MSCs) in MM exhibit different genomic and cytokine secretion profiles that ultimately impair their osteogenic differentiation abilities compared to normal MSCs. However, the underlying molecular mechanisms are not fully understood. In the present study, we explored the role of miR-138 in MSCs derived from MM patients (MM-MSCs) and the potential for anti-miR-138 treatment to rescue impaired osteogenic differentiation in MM, both in vitro and in vivo using a human xenograft MM model. Materials and methods Primary BM aspirates were obtained from MM patients and normal healthy donors, after obtaining informed consent in accordance with the Declaration of Helsinki. MiR-138 expression in MM-MSCs was measured by quantitative real-time PCR. Publicly available microarray data sets (GSE17306 and E-TABM-508) were analyzed for miR-138 expression in MM cells compared to normal plasma cells. To test the effect of inhibiting miR-138 function, a high-affinity 15-mer locked nucleic acid (LNA)-modified anti-miR oligonucleotide and a corresponding scramble sequence control oligonucleotide were used (In collaboration with Dr. Kauppinen, Denmark). Anti-miR-138 oligonucleotides were transfected into MM-MSCs or normal MSCs co-cultured with MM cell lines and osteogenic differentiation in MSCs was assessed by alizarin red staining. For the in vivo studies, 6-week-old female SCID-beige mice (n=6, each group) were injected intravenously with anti-miR-138 or scramble control oligonucleotides (15 mg/kg) 2 times a week. 3 weeks later, GFP+Luc+ MM.1S cells (3 × 106) were injected into mice. Anti-miR-138 or control oligonucleotides were continued until day 28 after injection of myeloma cells. At day 28, the effect of anti-miR138 was assessed by the number of osteoblastic lineage cell (OBC: Lin-/CD45-/CD31-/CD51+/Sca-1-) from hematopoietic cell-depleted, collagenase-treated crushed bones of mice by flow cytometry. Results MiR-138 expression in MSCs from MM patients (n=10) was significantly higher than MSCs from normal donors (n = 4) (P Conclusions These findings indicate that miR-138 plays an important role in impaired osteogenic differentiation in MSCs in MM. Inhibition of miR-138 promotes osteogenic differentiation of MSCs in MM and anti-miR-138 treatment holds the potential to prevent MM induced bone loss and lytic lesions. Additional studies are ongoing to further understand the connection between MM cells and MSCs mediated by miR-138. Disclosures Roccaro: Takeda Pharmaceutical Company Limited: Honoraria. Ghobrial:Novartis: Honoraria; Noxxon: Honoraria; Celgene: Honoraria, Research Funding; Takeda: Honoraria; Amgen: Honoraria; BMS: Honoraria, Research Funding.

Background . Cell-free DNA (cfDNA) sequencing enables serial temporal sampling, which offers the possibility of following the dynamics of biomarkers and clonal evolution in Multiple Myeloma (MM) over time. The use of cfDNA in clinical practice as a molecular biomarker and for monitoring response/resistance is dependent on a comprehensive profile of matched cfDNA and tumor DNA (tDNA) samples. Here we performed Ultra-Low Pass Whole Genome Sequencing (ULP-WGS) followed by whole-exome sequencing (WES) and targeted deep sequencing of matched cfDNA/tDNA samples from MM patients. Methods. We performed next generation sequencing of matched cfDNA/tDNA samples for 63 patients with newly diagnosed or relapsed MM, SMM, or MGUS. Libraries were constructed using the Kappa Hyper kit and sequenced by ultra-low-pass whole-genome sequencing (ULP-WGS, 0.1x coverage) to quantify tumor fraction within cfDNA. WES was performed on 30 matched samples cfDNA/tDNA/germline DNA from 10 patients with more than 5% of tumor fraction. Libraries were hybridized to the Nextera Rapid Capture Exome kit (Illumina) and then sequenced on HiSeq 4000 (Illumina). Targeted deep sequencing was performed on 32 matched cfDNA/tDNA samples from 16 patients using the HaloPlex HS technology (Agilent), allowing for molecular barcoding. Libraries were constructed according to the manufacturer's instructions and sequenced on HiSeq 2500 (Illumina). Sequencing data were analyzed using the Firehose pipelines, including MuTect, ABSOLUTE, ReCapSeg, GISTIC and MutSig. Results. We first used a cost-effective approach to establish the tumor content of cfDNA in a large-scale manner by ULP-WGS. Among 63 tested samples (53 MM, 6 SMM and 4 MGUS patient samples), the tumor fraction within cfDNA ranged from 0 to 81% with a mean of 10%. About 43% of these samples had tumor fraction greater than 5% within cfDNA. To assess whether cfDNA can capture the genetic diversity of MM and inform clinical management, we performed WES of matched cfDNA/tDNA/germline DNA samples for 10 patients (mean target coverage 194x). Copy number alterations (CNAs) assessed by WES (ReCapSeg) were consistent between cfDNA and tumor DNA. Similarly, focal CNAs assessed by GISTIC were consistent between tDNA and cfDNA. We then examined the overlap of somatic single nucleotide variants (SSNVs) between WES of cfDNA and matched tDNA. We found, on average, 100% of the clonal and 96% of the subclonal (range 54-100%) SSNVs that were detected in the tumor were confirmed to be present in cfDNA. Similarly, for mutations detected in the cfDNA, we found, on average, 100% of the clonal and 99% of the subclonal (range 98-100%) SSNVs were confirmed in the tumor. To assess whether targeted deep sequencing of cfDNA could be a good proxy for tumor biopsy we used a targeted deep sequencing approach of known MM driver genes. Libraries were prepared using unique molecular barcodes to avoid duplication rates, for 32 matched cfDNA/tDNA samples from 16 patients with MM. The mean target coverage was 596x. We found similar frequencies of altered MM driver genes in both cfDNA and tDNA, including KRAS, NRAS, and TP53, indicating that cfDNA can be used for precision medicine. Conclusions. Our study demonstrates that both WES and targeted deep sequencing of cfDNA are consistently representative of tumor DNA alterations in terms of CNAs, focal CNAs and SSNVs. This approach could therefore be used to longitudinally follow clonal evolution across the course of the disease and precision medicine in patients with MM. Disclosures Palumbo: Takeda: Employment, Honoraria; Janssen Cilag: Honoraria. Kumar:Noxxon Pharma: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Millennium: Consultancy, Research Funding; Skyline: Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen: Consultancy, Research Funding; Kesios: Consultancy; Glycomimetics: Consultancy; BMS: Consultancy; Array BioPharma: Consultancy, Research Funding; Sanofi: Consultancy, Research Funding; AbbVie: Research Funding; Onyx: Consultancy, Research Funding. Roccaro:Takeda Pharmaceutical Company Limited: Honoraria. Facon:Amgen: Consultancy, Speakers Bureau; Novartis: Consultancy; Janssen: Consultancy, Speakers Bureau; Bristol: Consultancy; Millenium/Takeda: Consultancy; Celgene: Consultancy, Speakers Bureau; Karyopharm: Consultancy. Ghobrial:Celgene: Honoraria, Research Funding; BMS: Honoraria, Research Funding; Noxxon: Honoraria; Novartis: Honoraria; Takeda: Honoraria; Amgen: Honoraria.