ALBERT

Description: Background: Extramedullary disease (EMD), strictly defined as an infiltrate of clonal plasma cells at an anatomic site distant from the bone marrow or adjacent soft tissue in a patient with underlying multiple myeloma, is an uncommon manifestation of multiple myeloma. Comparatively little is known about this disease entity, with no large case series published in the last decade. Patients and Methods: 663 consecutive patients with multiple myeloma who underwent autologous or allogeneic stem cell transplantation at a single, large, academic medical center in the United States from January 2005 to December 2011 were assessed for the presence or absence of EMD, as well as baseline demographic and biochemical characteristics, treatment regimens, and response to therapy. Results: A cohort of 55 patients with biopsy-proven EMD was identified, comprising 8.3% of the total study population. Among the patients with EMD, 13 (23.6%) were found to have EMD at the time of initial presentation, while the remainder developed EMD during the course of their illness. Patients with EMD received a median of 5 different treatment regimens during the course of their illness, most commonly with combinations of dexamethasone, thalidomide, lenalidomide, and bortezomib, as well as autologous hemotopoietic stem cell transplantation. Patients had received a median of 3 lines of therapy prior to experiencing an extramedullary relapse. Patients with EMD had markedly elevated maximum serum LDH levels (median 613.5 units/L) and low minimum hemoglobin levels (median 7.8 g/dL). Common cytogenetic abnormalities included deletion 13q, deletion 11q, t(11;14), and deletion 17p. Available immunohistochemical data suggest that EMD specimens had frequent expression of CXCR4, CD44, and CD56. The median overall survival data of these patients was 3.2 years (range, 0.9-9.5) and the median time from diagnosis of EMD to death was 0.5 years (range, 0.002-3.2). Conclusions: This report describes a large series of multiple myeloma patients with EMD who were treated in the era of stem cell transplant at a single academic medical center. Further studies to examine the molecular characteristics of extramedullary multiple myeloma are necessary to better define this entity and characterize therapeutic options that can prolong survival in this otherwise very vulnerable population. Disclosures Ghobrial: Millennium/Takeda: Membership on an entity's Board of Directors or advisory committees; Onyx: Membership on an entity's Board of Directors or advisory committees; BMS: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees. Laubach:Novartis: Research Funding; Onyx Pharmaceuticals: Research Funding. Schlossman:Millennium: Consultancy. Mitsiades:Millennium Pharmaceuticals: Consultancy, Honoraria; Celgene: Consultancy, Honoraria; Amgen: Research Funding; Johnson & Johnson: Research Funding; DFCI: patent submission on stromal co-culture technologies Patents & Royalties.

Description: 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.

Description: Background.This study aimed to determine the progression-free survival and response rate using early therapeutic intervention in patients with high-risk smoldering multiple myeloma (SMM) using the combination of ixazomib, lenalidomide, and dexamethasone. Methods.Patients enrolled on study met eligibility for high-risk SMM based on the newly defined criteria proposed by Rajkumar et al. (Blood 2014). The treatment plan was designed to be administered on an outpatient basis where patients receive 9 cycles of induction therapy of ixazomib (4mg) at days 1, 8, and 15, in combination with lenalidomide (25mg) at days 1-21 and dexamethasone at days 1, 8, 15, and 22. The induction phase was followed by ixazomib (4mg) and lenalidomide (15mg) maintenance for another 15 cycles. A treatment cycle was defined as 28 consecutive days for a total of 24 months period. Bone marrow samples of all patients were obtained before starting therapy for baseline assessment for minimal residual disease (MRD) testing, whole-exome sequencing (WES), and RNA sequencing of plasma and bone marrow microenvironment cells. Moreover, blood samples were obtained at screening and before each cycle for isolating cell-free DNA (cfDNA) and circulating tumor cells (CTCs). Results.In total, 53 of the planned 62 patients have been enrolled in this study from February 2017 to May 2019. The median age of the patients enrolled was 61 years (range, 41 to 84) with 22 male (41.5%). The analysis was conducted on patients who have completed at least 1 cycle of therapy (n=45). The median follow-up for the trial is 14.4 months (range: 2- 27.6). Interphase fluorescence in situ hybridization (iFISH) was successful in 37 patients (82.2%). High-risk cytogenetics (defined as the presence of t(4;14), 17p deletion, and 1q gain) were found in 20 patients (54%). The median number of cycles completed was 14 cycles (range: 1-24). According to the study's inclusion criteria, baseline markers showed that 15, 14, and 13 patients had 3, 4, and 5 high-risk features, respectively. Moreover, 24 patients (53.3%) met the criteria of high-risk SMM, according to the Mayo 2018 model. The most common grade 3 adverse events were hypertension (6.3%), hypophosphatemia (4.2%), and rash (4.2%). Grade 4 thrombocytopenia and neutropenia were each reported in 4.4% of patients, and hyperglycemia was reported in 2.2%. Stem cells were collected in all eligible patients by the end of the induction phase. As of the abstract date, the overall response rate (partial response or better) in participants who completed at least 1 cycle of treatment was 91.1% (41/45), with 14 Complete Responses (CR, 31.1%), 9 very good partial responses (VGPR, 20%), 18 partial responses (40%), and 4 minimal Responses (MR, 10%). ORR in patients who completed the induction phase (≥9 cycles) was 97% (n= 32/33), with 14(42.4%) and 9 (27.2%) having CR and VGPR, respectively. All patients who had a CR have also achieved a stringent CR. Six patients have completed the treatment protocol and are currently on follow-up. As of July 2019, none of the patients have progressed to overt MM. MRD testing by next-generation sequencing is ongoing for patients who achieved CR or VGPR and will be presented at the meeting. Conclusion.The combination of ixazomib, lenalidomide, and dexamethasone is an effective and well-tolerated intervention in high-risk smoldering myeloma with 91% ORR and 54.7% CR and VGPR to date. The high response rate, convenient schedule and manageable toxicity build on prior studies which have shown efficacy of lenalidomide and dexamethasone in high risk smoldering myeloma. Longer follow-up for disease outcome is ongoing. Disclosures Bustoros, MD: Takeda: Honoraria. Nadeem:Celgene: Consultancy; Janssen: Consultancy; Amgen: Consultancy; Sanofi: Consultancy. Prescott:Janssen: Equity Ownership. Munshi:Takeda: Consultancy; Janssen: Consultancy; Celgene: Consultancy; Adaptive: Consultancy; Abbvie: Consultancy; Abbvie: Consultancy; Adaptive: Consultancy; Amgen: Consultancy; Celgene: Consultancy; Takeda: Consultancy; Oncopep: Consultancy; Oncopep: Consultancy; Amgen: Consultancy; Janssen: Consultancy. Anderson:OncoPep: Other: Scientific founder ; C4 Therapeutics: Other: Scientific founder ; Gilead Sciences: Other: Advisory Board; Janssen: Other: Advisory Board; Sanofi-Aventis: Other: Advisory Board. Richardson:Oncopeptides: Membership on an entity's Board of Directors or advisory committees, Research Funding; Bristol-Myers Squibb: Research Funding; Amgen: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: Membership on an entity's Board of Directors or advisory committees, Research Funding; Sanofi: Membership on an entity's Board of Directors or advisory committees; Karyopharm: Membership on an entity's Board of Directors or advisory committees. Ghobrial:Amgen: Consultancy; Celgene: Consultancy; BMS: Consultancy; Sanofi: Consultancy; Janssen: Consultancy; Takeda: Consultancy. OffLabel Disclosure: Ixazomib, Lenalidomide and Dexamethasone is an investigational combination in high-risk smoldering multiple myeloma and has not been approved by the US Food and Drug Administration or any other regulatory agency worldwide for the use under investigation.

Description: Introduction Multiple myeloma (MM) is characterized by dissemination and accumulation of plasma cells in the bone marrow (BM), which promotes tumor cell growth and therapy resistance. ROBO1 is a conserved transmembrane receptor of the Ig superfamily with no intrinsic catalytic activity, and its role in MM pathogenesis is unknown. Material and Methods We first analyzed ROBO1 expression via western blot and/or immunohistochemistry (IHC). Gene expression profiling in a cohort of 170 newly diagnosed MM patients (IFM170) was used to compare ROBO1 expression across primary MM and BM stroma cells (BMSC), and normal BM plasma cells (PC). We used short hairpin RNA (shRNA) for stable ROBO1 knock down (KD) and CRISPR-Cas9 for ROBO1 knock out (KO). For protein structure-function and rescue studies, ROBO1 KO MM cells were transduced with a lentiviral vector expressing either full-length (FL) or truncated ROBO1 mutants devoid of extracellular (Cyt) or intracellular domain (DeltaCyt), including patient-derived truncating mutations, with a C-terminus triple FLAG tag. FLAG immunoprecipitation (IP) followed by mass spectrometry or western blotting and immunofluorescence (IF) were used to identify ROBO1 interacting partners and ROBO1 cellular localization. We used a hydrogel encapsulation system to study proliferation in a 3D system. To study extramedullary and intramedullary MM growth in vivo, WT and ROBO1 KO OPM2 were injected either subcutaneously (plasmacytoma model) or intra-medullary in femoral bones of donor mice which were then implanted subcutaneously in recipient SCID mice (µ-SCID model). PET-CT was used to assess tumor volume. Mouse tumors were retrieved for IHC and RNA extraction followed by RNA sequencing. To study dissemination and homing, KO and FL addback OPM2 cells were injected intravenously in SCID mice. Femurs and plasmacytoma were retrieved at endpoint for IHC. Results ROBO1 is highly expressed in human MM cell lines and primary MM cells with highest expression in cells carrying the high risk t(4;14) cytogenetic and low/absent expression in normal PC. Of human cancer cell lines, ROBO1 expression was limited to late B cell lineage; and ROBO1 KD was selectively cytotoxic against MM, but not other hematologic cancers. ROBO1 KO significantly decreases proliferation in a 3D culture system and tumor growth in extramedullary (mean tumor volume KO versus WT plasmacytoma: 457 versus 1323 mm3, p value= 0.02) and intramedullary (mean tumor volume KO versus WT: 823 versus 2684 mm3, p value= 0.001) murine models of human MM. ROBO1 KO MM cells show decreased adhesion to BM endothelial and BMSC, which is fully rescued by FL ROBO1 addback. To address whether ROBO1 loss alters dissemination/homing of MM cells in vivo, we injected mice intravenously with ROBO KO or FL addback OPM2 cells. While ROBO1 KO resulted in a modest, non-statistically significant prolongation in mouse OS (90 versus 75 days, respectively, p value 0.2), the pattern of disease was strikingly different. As expected, ROBO1 FL mice developed hindlimb paralysis with extensive BM infiltration with MM. Importantly, ROBO1 KO mice demonstrated reduced BM infiltration and developed solitary plasmacytoma. We next showed that ROBO1 C-terminus domain is necessary and sufficient to rescue ROBO1 KO proliferative defect while expression of ROBO1 truncations, including patient-derived frameshift mutations, acted as dominant negative. IP showed avid interaction of ROBO1 with ABL1. Interestingly, we showed that the cytosolic domain of ROBO1 undergoes cleavage and translocates to the nucleus, where its function is now being studied. Conclusions We show that ROBO1 is necessary for MM homing to the BM niche and for MM growth within and outside the BM space. ROBO1 cytosolic domain undergoes proteolytic cleavage and translocates to the nucleus and is necessary and sufficient to rescue ROBO1 KO defective proliferation. Based on our data, we propose a dual model for ROBO1 in MM: the full transmembrane receptor is involved in regulating adhesion, dissemination and homing of MM cells within the BM niche; the cleaved intracellular C-terminus domain participates in transcriptional regulation, promoting MM proliferation. These data suggest that ROBO1 C-terminus may be a novel molecular target in MM. Disclosures Roccaro: Celgene: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees; Associazione Italiana per al Ricerca sul Cancro (AIRC): Research Funding; Associazione Italiana per al Ricerca sul Cancro (AIRC): Research Funding; European Hematology Association: Research Funding; Transcan2-ERANET: Research Funding; European Hematology Association: Research Funding; AstraZeneca: Research Funding; Transcan2-ERANET: Research Funding; Amgen: Membership on an entity's Board of Directors or advisory committees; Amgen: Membership on an entity's Board of Directors or advisory committees; AstraZeneca: Research Funding. Ghobrial:Takeda: Consultancy; Sanofi: Consultancy; Amgen: Consultancy; BMS: Consultancy; Celgene: Consultancy; Janssen: Consultancy. Anderson:Sanofi-Aventis: Other: Advisory Board; Bristol-Myers Squibb: Other: Scientific Founder; Oncopep: Other: Scientific Founder; Amgen: Consultancy, Speakers Bureau; Janssen: Consultancy, Speakers Bureau; Takeda: Consultancy, Speakers Bureau; Celgene: Consultancy, Speakers Bureau.

Description: 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.

Description: Abstract 1826 Poster Board I-852 Patients with multiple myeloma (MM) typically present with the disease spread diffusely throughout the bone marrow (BM). This fact points to the role MM cell trafficking plays in disease progression. Like normal plasma cells, MM cell trafficking is directed by the cytokine, SDF-1 and its receptor, CXCR4. Using the small bicyclam molecule, AMD3100, to block the SDF-1/CXCR4 interaction, and in vivo flow cytometry to measure circulation time of MM cells in a xenograft model, we have previously shown that homing of injected AMD3100-treated MM cells to the bone marrow is perturbed. Soon after injection fewer AMD3100-treated than untreated MM cells are detected in mouse skull BM using in vivo fluorescence confocal microscopy. Furthermore, the combined treatment of established tumors with AMD3100 and bortezomib enhanced survival. Here we present data that the 2nd generation SDF-1/CXCR4 small monomacrocyclic inhibitor, AMD3465 behaves like its predecessor in blocking antibody binding to CXCR4 on MM cells, migration of MM cells toward SDF-1, and in vivo homing, but at concentrations 10-50 fold lower than AMD3100. Incubation with either 1uM AMD3465 or 50uM AMD3100 reduced antibody binding to CXCR4 on MM cells to isotype control levels. Likewise, treatment with AMD3465 reduced MM1S migration to 15% of that of untreated cells in a transwell migration assay. These in vitro effects translated in vivo into longer circulation times for AMD3465-treated MM cells than control cells. In vivo flow cytometry revealed that 40-50% of AMD3465-pre-treated cells remained in the circulation one hr after injection whereas untreated cells depleted to 20% of their original circulating cell count by that time. Future experiments will further describe the effect of AMD 3465 on MM cells in the BM microenvironment to answer whether AMD3465 can be used to mobilize MM cells from the BM environment or enhance survival when used in conjunction with therapeutic drugs. Disclosures Ghobrial: Millennium: Honoraria, Research Funding, Speakers Bureau; Celgene: Consultancy, Honoraria, Speakers Bureau; Novartis: Honoraria, Speakers Bureau.

Description: 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.