Anderson, Kenneth C.

Abstract Integrated genomic analysis including whole genome and RNA sequencing in primary multiple myeloma (MM) cells have reported a universal loss of BCL7A gene in MM patients compared to normal plasma cells (PC). Our Genetic modulation in in-vitro and in-vivo MM models have also validated the loss of BCL7A as an oncogenic event responsible for acquisition of a more proliferative phenotype in MM cells. We performed a comparative mass spectrometric analysis confirming BCL7A as a member of the canonical m-SWI/SNF chromatin remodeling complex. We therefore performed the Assay for Transposase Accessible Chromatin with high-throughput sequencing (ATAC-seq) to assess genome-wide changes in DNA accessibility upon BCL7A gain or loss. We found that loss of BCL7A in wild-type KMS12BM and NCI-H929 cells resulted in enrichment of important transcription factor motifs in the transcriptionally active sites of chromatin. We identified 36 de novo accessible and 1079 de novo inaccessible regions across the genome after BCL7A shRNA KD (knock-down). These genomic regions with altered accessibility were associated with genes involved in protein binding (FDR < 0.001), GTPase activation (FDR = 0.016), and GTPase regulation (FDR = 0.030). Candidate transcription factors for the genomic regions with altered accessibility were identified by querying a database of human ChiP-seq experiments (ReMap 2020). IRF4 was identified to be enriched in regions of accessible chromatin upon BCL7A loss. IRF4 is an oncoprotein transcription factor and is a direct target of myc, generating a feedback loop in MM cells. IRF4 dependency is central to myeloma cell proliferation. Most importantly, we found that in addition to functions within the m-SWI/SNF complex, BCL7A forms a protein complex with IRF4. Altogether these data suggest a role for BCL7A in driving IRF4 oncogenic activities in MM. To understand how BCL7A-dependent changes may influence IRF4 activity, we performed CHiP assay using IRF4 antibody in BCL7A KO (knock-out) and AB (add-back) KMS12BM and NCI-H929 cells. We observed increased binding of IRF4 to the promoter of its target genes like PRDM1, CDK6, STAG2, PIM2, SQLE, Myc, CANX, IRF4, SCD, ELL2, CASP3 in BCL7A KO cells, while the binding of these target genes was significantly decreased in AB cells. While, CHiP assay using IRF4 antibody in control and ectopically expressed BCL7A in AMO1 and KMS11 cells showed significantly low binding of IRF4 to the promoter of most of its target genes in BCL7A overexpressed cells compared to control. Integrated transcriptomic analysis following BCL7A KD and overexpression revealed the existence of a set of genes transcriptionally regulated by IRF4 to be significantly upregulated following BCL7A depletion and downregulated following ectopic expression of BCL7A. To investigate whether these genes are involved in the phenotypic and functional effects observed in MM after BCL7A depletion, we performed LOF studies (si-RNA screen) in scrambled and BCL7A KD MM cells. Among others, we observed that MM cells are highly sensitive to the inhibition of EEF1B2, RPS3A, SOX2, DCC and NDUFA1 only in the context of BCL7A loss, implicating a role as critical effector molecules downstream of the IRF4-BCL7A transcriptional network. In conclusion, we observe that BCL7A binds to IRF4, functionally restricting its activity. The universally observed down regulation of BCL7A in MM provides the necessary molecular change to allow IRF4 to exert its required transcriptional activity to induce MM cell growth. Our results now provide the basis to understand the mechanism of development of IRF4 dependency in MM. Disclosures Anderson: Pfizer: Membership on an entity's Board of Directors or advisory committees; Millenium-Takeda: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Sanofi-Aventis: Membership on an entity's Board of Directors or advisory committees; Gilead: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees; Bristol Myers Squibb: Membership on an entity's Board of Directors or advisory committees; AstraZeneca: Membership on an entity's Board of Directors or advisory committees; Scientific Founder of Oncopep and C4 Therapeutics: Current equity holder in publicly-traded company, Current holder of individual stocks in a privately-held company; Mana Therapeutics: Membership on an entity's Board of Directors or advisory committees. Munshi: Janssen: Consultancy; Karyopharm: Consultancy; Adaptive Biotechnology: Consultancy; Novartis: Consultancy; Legend: Consultancy; Bristol-Myers Squibb: Consultancy; Amgen: Consultancy; Abbvie: Consultancy; Takeda: Consultancy; Oncopep: Consultancy, Current equity holder in publicly-traded company, Other: scientific founder, Patents & Royalties; Celgene: Consultancy; Pfizer: Consultancy.

Abstract Multiple myeloma (MM) cells suffer from baseline proteotoxicity as the result of an imbalance between the load of misfolded proteins awaiting proteolysis and the capacity of the ubiquitin-proteasome system to degrade them. This intrinsic vulnerability is at the base of MM sensitivity to agents that perturb proteostasis, such as proteasome inhibitors (PIs), the mainstay of modern-day myeloma therapy. De novo and acquired PI resistance are important clinical limitations that adversely affect prognosis. The molecular mechanisms underpinning PI resistance are only partially understood, limiting the development of drugs that can overcome it. The transcription factor NRF1 is activated by the aspartic protease DNA damage inducible 1 homolog 2 (DDI2) upon proteasome insufficiency and governs proteasome biogenesis. In this article, we show that MM cells exhibit baseline NRF1 activation and are dependent upon DDI2 for survival. DDI2 knockout (KO) is cytotoxic for MM cells, both in vitro and in vivo. Protein structure-function studies show that DDI2 KO blocks NRF1 cleavage and nuclear translocation, causing impaired proteasome activity recovery upon irreversible proteasome inhibition and, thereby, increasing sensitivity to PIs. Add-back of wild-type, but not of catalytically dead DDI2, fully rescues these phenotypes. We propose that DDI2 is an unexplored promising molecular target in MM by disrupting the proteasome stress response and exacerbating proteotoxicity.

AbstractThe development of novel agents has transformed the treatment paradigm for multiple myeloma, with minimal residual disease (MRD) negativity now achievable across the entire disease spectrum. Bone marrow–based technologies to assess MRD, including approaches using next-generation flow and next-generation sequencing, have provided real-time clinical tools for the sensitive detection and monitoring of MRD in patients with multiple myeloma. Complementary liquid biopsy–based assays are now quickly progressing with some, such as mass spectrometry methods, being very close to clinical use, while others utilizing nucleic acid–based technologies are still developing and will prove important to further our understanding of the biology of MRD. On the regulatory front, multiple retrospective individual patient and clinical trial level meta-analyses have already shown and will continue to assess the potential of MRD as a surrogate for patient outcome. Given all this progress, it is not surprising that a number of clinicians are now considering using MRD to inform real-world clinical care of patients across the spectrum from smoldering myeloma to relapsed refractory multiple myeloma, with each disease setting presenting key challenges and questions that will need to be addressed through clinical trials. The pace of advances in targeted and immune therapies in multiple myeloma is unprecedented, and novel MRD-driven biomarker strategies are essential to accelerate innovative clinical trials leading to regulatory approval of novel treatments and continued improvement in patient outcomes.

Abstract Introduction: The bone marrow (BM) niche promotes multiple myeloma (MM) growth, survival and drug resistance. Therapies targeting both cancer cells and the microenvironment are highly effective. We were interested in identifying novel signaling pathways supporting MM pathogenesis through MM-BM crosstalk. The transmembrane receptor Roundabout 1 (ROBO1) plays a role in growth and dissemination of solid tumors, however its function in MM is unknown. Material and Methods: We analyzed ROBO1 expression in cell lines and primary samples via western blot, immunohistochemistry (IHC) and gene expression profiling. We used short hairpin RNA and CRISPR-Cas9 for ROBO1 knock down (KD) and knock out (KO), respectively. For protein structure-function and rescue studies, we stably expressed full-length (FL) or mutant ROBO1 devoid of extracellular (Cyt) or intracellular domain (DeltaCyt), including patient-derived G674* truncation, with a C-terminus FLAG tag. We used a 3D hydrogel encapsulation system to study proliferation; FLAG immunoprecipitation (IP) followed by mass spectrometry to identify ROBO1 interacting partners; and immunofluorescence to detect ROBO1 localization. To study tumor growth in vivo, we performed PET-CT of mice inoculated subcutaneously or intramedullary with WT or ROBO1 KO MM cells and retrieved tumors for RNA sequencing. To study dissemination and homing, KO and FL addback MM cells were injected intravenously in SCID mice. Mice were monitored for development of tumors or hindlimb paralysis and femora/tumors harvested once mice reached endpoint. Results: ROBO1 is highly expressed in MM cell lines and primary cells but low/absent in normal plasma cells and other hematologic cancer cell lines. ROBO1 KD is specifically cytotoxic for MM cells and ROBO1 KO decreases proliferation, a phenotype fully rescued by FL ROBO1. Compared to WT, ROBO1 KO significantly decreases intramedullary (mean tumor volume (MTV): 1323 vs 457 mm3, p value= 0.02) and extramedullary (MTV: 2684 vs 823 mm3, p value= 0.001) tumor growth in vivo. We further discovered that ROBO1 KO decreases adhesion of MM to BM endothelial and BMSC, which is fully rescued by FL ROBO1. In a disseminated mouse model, ROBO1 KO cells generate bone plasmacytoma with reduced BM invasion, as compared to the extensive BM infiltration observed with ROBO1 FL cells. Consistently, in primary samples from patients, we detected ROBO1 expression only in 1 out of 10 solitary plasmacytoma (dim staining) as compared to 14 out of 14 MM bone marrow biopsy samples tested (11 strong, 3 dim, p value= 0.0001). Mechanistically, we show for the first time that ROBO1 C-terminus is cleaved in a ligand-independent fashion; translocates to the nucleus; and is necessary and sufficient to rescue ROBO1 KO proliferative defect. Viceversa, mutants lacking the cytoplasmic domain, including the G674* truncation, act dominantly negative. Interactomic and RNA sequencing studies point to a previously unknown function of ROBO1 in RNA processing, setting the bases for future studies. Conclusions: We show for the first time that ROBO1 is necessary for MM growth and homing to the BM. Cleaved ROBO1 cytosolic domain translocates to the nucleus and is necessary and sufficient to rescue ROBO1 KO proliferative defect, possibly by participating in RNA processing. These data suggest that ROBO1 C-terminus may be a novel molecular target in MM. Citation Format: Giada Bianchi, Peter G. Czarnecki, Matthew Ho, Aldo M. Roccaro, Antonio Sacco, Yawara Kawano, Annamaria Gulla, Anil Aktas Samur, Tianzeng Cheng, Kenneth Wen, Yu-Tzu Tai, Maria Moscvin, Xinchen Wu, Gulden Camci-Unal, Matteo Claudio Da VIa, Niccolo Bolli, Ruben D. Carrasco, Irene M. Ghobrial, Kenneth C. Anderson. ROBO1 promotes homing, dissemination, and survival of multiple myeloma within the bone marrow microenvironment [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr LB217.

Abstract Introduction: We previously showed that an imbalance between polyubiquitinated proteins awaiting proteasomal degradation and proteasome activity is a main determinant of proteasome inhibitor (PI) sensitivity in MM. While PIs have radically improved survival of MM patients, resistance is inevitable over time and understanding the molecular mechanisms underlying it is critically important to develop novel therapies to improve patient outcomes. The proteasome stress response (PSR) is an evolutionarily conserved homeostatic mechanism triggered by insufficient proteasome activity and aimed at restoring homeostasis via de novo proteasome biogenesis. The PSR master regulator NRF1 is constitutively degraded by the proteasome in homeostatic conditions, but in face of proteasomal insufficiency is cleaved by the aspartic protease DDI2, translocates to the nucleus, and induces proteasome subunit gene transcription. It is unknown whether blocking DDI2 or NRF1 could target an intrinsic vulnerability of MM. Materials and methods: We used human MM cell lines with distinct baseline sensitivity to PIs. NRF1 cleavage and nuclear localization were assessed via western blotting. We used CRISPR-Cas9 to knock out (KO) DDI2 and NRF1. Cell viability or tumor growth of DDI2/NRF1 KO cells versus cells edited with a non-targeting gRNA were compared in in vitro and in vivo growth competition studies, respectively. Addback studies were performed by stably expressing WT or aspartic protease dead DDI2 in DDI2 KO AMO1-VR monoclones. Chymotryptic-like proteasome activity was measured via cleavage of a fluorescent substrate upon incubation with protein lysates from DDI2 WT, KO, or addback cells. Results: We detected full-length and cleaved NRF1 in human MM cell lines, but not other hematologic cancer cell lines, suggesting constitutively active PSR in MM. Query of the dependency map (depmap.org) shows that MM is the cell line type most highly dependent on DDI2. Consistently, DDI2 or NRF1 KO is cytotoxic alone or in combination with PI across a panel of MM cells with distinct PI sensitivity, including de novo, PI-resistant KMS20. In vivo, DDI2 KO leads to reduced plasmacytoma formation in NOD SCID mice and results in prolongation of animal survival. While biallelic DDI2 or NRF1 KO monoclones could not be generated across 7 distinct MM cell lines, consistent with these genes being essential, we successfully established DDI2 KO monoclones in AMO1-VR, an isogenic AMO1 cell line variant adapted to grow in continuous bortezomib. Even in this cell line model of acquired PI resistance, DDI2 KO sensitized cells to PI carfilzomib. In this model, DDI2 KO blocks NRF1 cleavage and nuclear import, thereby impairing proteasome recovery after irreversible PI treatment and sensitizing to PI. Wild-type, but not catalytically-dead DDI2 addback rescues these phenotypes, confirming a causative link. Conclusions: Our data show that MM cells are intrinsically dependent on an intact DDI2/NRF1 axis to survive in baseline conditions and upon proteasomal inhibition. We propose that DDI2 is an unexplored, promising molecular target for MM treatment by disrupting the PSR and exacerbating proteotoxicity. This study provides the preclinical rationale for the development of novel therapeutics targeting the DDI2/NRF1 pathway to overcome acquired and de novo PI resistance and improve patient outcomes in MM. Citation Format: Tianzeng Chen, Matthew Ho, Jenna Briere, Maria Moscvin, Peter G. Czarnecki, Kenneth C. Anderson, T. Keith Blackwell, Giada Bianchi. Multiple myeloma cells depend on the NRF1-DDI2 proteasome stress response pathway for survival [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr LB110.

Abstract The bone marrow (BM) microenvironment actively promotes multiple myeloma pathogenesis, and therapies targeting both cancer cells and the niche are highly effective. We were interested in identifying novel signaling pathways supporting multiple myeloma–BM cross-talk. Mutations in the transmembrane receptor Roundabout 1 (ROBO1) were recently identified in patients with multiple myeloma; however, their functional consequences are uncertain. Through protein structure–function studies, we discovered that ROBO1 is necessary for multiple myeloma adhesion to BM stromal and endothelial cells and that ROBO1 knockout (KO) compromises BM homing and engraftment in a disseminated mouse model. ROBO1 KO significantly decreases multiple myeloma proliferation in vitro and intra- and extramedullary tumor growth in vivo. Mechanistically, the ROBO1 C-terminus is cleaved in a ligand-independent fashion and is sufficient to promote multiple myeloma proliferation. Vice versa, mutants lacking the cytoplasmic domain, including the human-derived G674* truncation, act dominantly negative. Interactomic and RNA-sequencing studies suggest that ROBO1 may be involved in RNA processing, supporting further studies. Significance: ROBO1 is highly expressed in t(4;14) multiple myeloma and supports homing and dissemination to the BM niche. ROBO1 knockout causes reduced tumor growth in intramedullary and extramedullary myeloma animal models, while the ROBO1 C-terminus is cleaved in multiple fragments and it is necessary and sufficient to sustain myeloma proliferation.

Background: Here we describe an online network of patients with cancer, clinicians and researchers, layered on top of a comprehensive real world database of treatments and outcomes, continuously updated in near real time, and initially focused on multiple myeloma. Methods: Patients with multiple myeloma register at www.all4cure.com and sign HIPAA release forms to provide access to all of their medical records from all of the institutions from which they have received care. From the medical records, a structured dataset of treatments and lab results is extracted by a myeloma-dedicated team for display on each patient's de-identified, personalized dashboard. A discussion panel allows more than 1200 participating patients, clinicians and researchers to post comments or questions regarding each patient's specific circumstances. For each patient, lines of therapy and responses are determined according to IMWG and published criteria (Blood [2015] 126: 921-922). Here we report initial results from the treatments and responses among patients with multiple myeloma and plasma cell leukemia. Results: A total of 493 patients includes 26 with monoclonal gammopathy of undetermined significance (MGUS), 51 with smoldering myeloma, 408 with multiple myeloma, and 8 with primary plasma cell leukemia. Among patients with multiple myeloma, 42 (10.3%) had antecedent MGUS and/or smoldering myeloma. The average age is 65.6 (+/- 9.7). 50.9% are male and 49.1% are female. 42 states in the U.S. and 8 other countries are represented. Two patients with multiple myeloma had not started treatment by the time of this report. The remaining 414 patients with multiple myeloma or plasma cell leukemia received 1 to 16 lines of therapy. Among the 414 patients that received at least one line of therapy, a remarkable 89 distinct first line therapies were administered. The most common first line therapies were lenalidomide, bortezomib, dexamethasone (n=92), cyclophosphamide, bortezomib, dexamethasone (n=50), lenalidomide, bortezomib, dexamethasone + autologous stem cell transplant + lenalidomide maintenance (n=41), lenalidomide and dexamethasone (n=29), and bortezomib and dexamethasone (n=22). 62 patients received a first line therapy that was not received by any other patient in our database. This variation was attributable to participation in clinical trials, variation in the availability of drugs over time and different geographic locations, and the very large number of distinct combinations associated with multi-agent regimens. Seventy six percent of patients with multiple myeloma or plasma cell leukemia received a second line of therapy, 52% received a third line of therapy, 34% received a fourth line of therapy, 23% received a fifth line of therapy, and 18% received a sixth line of therapy. We observed a trend toward a decline in favorable responses with successive lines of therapy (Table 1) consistent with previous reports, with a correlation coefficient between the line of therapy and overall response rate of -0.74. Among the 76 patients who received 6 or more lines of therapy (247 lines of therapy in total), only 7 achieved stringent complete responses (sCRs), of which 5 were associated with a CAR-T therapy. Table 1 also shows a trend toward more rapid changes in treatment associated with later lines of therapy. 57 of 493 patients (12%) are deceased. Conclusions: Our findings reveal remarkable variation in the treatment of myeloma and provide a potentially valuable resource of up to date and current clinical features, prognosis, treatments, side effects, and outcomes of patients with myeloma in the real world. Table 1. Summary of lines of therapy and outcomes across 414 patients with multiple myeloma and plasma cell leukemia. The percentages of patients achieving sCR, ≥ PR (overall response rate - ORR), and ≥MR (clinical benefit rate - CBR) are shown for each line of therapy. Also depicted is the interval mortality and the mean and median number of days between the beginning of a line therapy and the beginning of the next line of therapy. Table Disclosures Richter: Janssen: Consultancy, Speakers Bureau; Celgene: Consultancy, Speakers Bureau; Sanofi: Consultancy; X4 pharmaceuticals: Consultancy; Oncopeptides: Consultancy; Adaptive biotechnologies: Consultancy; Secura bio: Consultancy; Astra Zeneca: Consultancy; BMS: Consultancy; Karyopharm: Consultancy; Antengene: Consultancy. Chhun:All4Cure: Current Employment. Zheng:All4Cure: Current Employment. Piboonvaranggoon:All4Cure: Current Employment. Mallick:All4Cure: Current Employment. Wren:All4Cure: Current Employment. Nam:All4Cure: Current Employment. Lopez Barquilla:All4Cure: Current equity holder in private company. Blau:All4Cure: Current equity holder in private company. Cowan:Janssen: Consultancy, Research Funding; Abbvie: Research Funding; Cellectar: Consultancy; Sanofi: Consultancy; Bristol Myers Squibb: Research Funding. Bensinger:BMS: Consultancy, Honoraria, Research Funding, Speakers Bureau; Sanofi: Consultancy, Honoraria, Research Funding, Speakers Bureau; Janssen: Consultancy, Honoraria, Research Funding, Speakers Bureau; Amgen: Consultancy, Honoraria, Research Funding, Speakers Bureau; GSK: Consultancy, Honoraria, Research Funding, Speakers Bureau; Regeneron: Consultancy, Honoraria, Research Funding, Speakers Bureau. Kumar:Amgen: Consultancy, Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments, Research Funding; Genecentrix: Consultancy; Celgene/BMS: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Novartis: Research Funding; Merck: Consultancy, Research Funding; Janssen Oncology: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Carsgen: Other, Research Funding; Dr. Reddy's Laboratories: Honoraria; Adaptive Biotechnologies: Consultancy; Takeda: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; AbbVie: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; MedImmune: Research Funding; Tenebio: Other, Research Funding; BMS: Consultancy, Research Funding; Karyopharm: Consultancy; Cellectar: Other; Sanofi: Research Funding; Genentech/Roche: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Oncopeptides: Consultancy, Other: Independent Review Committee; IRC member; Kite Pharma: Consultancy, Research Funding. Richardson:Celgene/BMS, Oncopeptides, Takeda, Karyopharm: Research Funding. Anderson:Oncopep and C4 Therapeutics.: Other: Scientific Founder of Oncopep and C4 Therapeutics.; Bristol Myers Squibb: Membership on an entity's Board of Directors or advisory committees; Gilead: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees; Sanofi-Aventis: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Millenium-Takeda: Membership on an entity's Board of Directors or advisory committees. Blau:All4Cure: Current Employment, Current equity holder in private company.

Abstract The primary cause of morbidity and mortality in patients with multiple myeloma (MM) is an infection. Therefore, there is great concern about susceptibility to the outcome of COVID-19–infected patients with MM. This retrospective study describes the baseline characteristics and outcome data of COVID-19 infection in 650 patients with plasma cell disorders, collected by the International Myeloma Society to understand the initial challenges faced by myeloma patients during the COVID-19 pandemic. Analyses were performed for hospitalized MM patients. Among hospitalized patients, the median age was 69 years, and nearly all patients (96%) had MM. Approximately 36% were recently diagnosed (2019-2020), and 54% of patients were receiving first-line therapy. Thirty-three percent of patients have died, with significant geographic variability, ranging from 27% to 57% of hospitalized patients. Univariate analysis identified age, International Staging System stage 3 (ISS3), high-risk disease, renal disease, suboptimal myeloma control (active or progressive disease), and 1 or more comorbidities as risk factors for higher rates of death. Neither history of transplant, including within a year of COVID-19 diagnosis, nor other anti-MM treatments were associated with outcomes. Multivariate analysis found that only age, high-risk MM, renal disease, and suboptimal MM control remained independent predictors of adverse outcome with COVID-19 infection. The management of MM in the era of COVID-19 requires careful consideration of patient- and disease-related factors to decrease the risk of acquiring COVID-19 infection, while not compromising disease control through appropriate MM treatment. This study provides initial data to develop recommendations for the management of MM patients with COVID-19 infection.

Deregulated transcription and cell cycle control are hallmarks of cancer that are especially frequent in multiple myeloma (MM). Largely non-overlapping sets of cyclin-dependent kinases (CDKs) regulate cell division and RNA polymerase II (Pol II)-dependent transcription; and targeting of cell cycle CDKs has been long pursued as an attractive therapeutic strategy. Among CDKs, CDK7 presents a unique therapeutic opportunity as it functions as a CDK activating kinase (CAK), licensing the activity of cell cycle CDKs, and also serves as a core component of the general transcription factor TFIIH. Here we elucidated the biological role of CDK7 and its transcriptional regulatory landscape in MM, using genetic as well chemical approaches, including tools for CDK7 rapid protein degradation (dTAG) and the selective covalent inhibitor YKL-5-124 that targets a cysteine residue (C312) located outside of the kinase domain. We have observed that CDK7 inhibition via YKL-5-124 robustly inhibited the phosphorylation of the CDK1, 2 and 4 activation loops in a representative panel of MM cell lines at concentrations as low as 50 nM. This reduction was not observed in MM cells expressing a resistant mutation in the reactive cysteine (C312S). Consistent with decrease of CAK activity, we observed G1 arrest and S phase loss after CDK7 inhibition, which was also associated with a rapid and transient loss of Ser2 and Ser5 phosphorylation of the RNA Pol2 C-terminal domain. To understand the effect of CDK7 inhibition on MM cell growth and viability, we evaluated activity of YKL-5-124 across a large panel of 25 MM cell lines and observed a significant inhibition of MM cell proliferation, with a significantly lower IC50 compared to PHA-activated normal donor peripheral blood mononuclear cells (PBMCs), suggesting a specific sensitivity of MM cells to CDK7 inhibition. Longer exposure to YKL-5-124 caused apoptotic cell death in MM cells; however treatment with an inactive analog or in cells expressing the C312S mutation failed to inhibit MM cell proliferation, confirming that the antiproliferative potency of YKL-5-124 resides in its unique characteristic to covalently bind to C312 domain. Importantly, CDK7 inhibition impaired primary MM cells proliferation alone and when cultured in the presence of BM microenvironment. Selective pharmacological degradation of endogenously tagged CDK7 confirmed impact of CDK7 inhibition on MM cell proliferation via inhibition of CDK7 transcriptional and cell cycle activities. To complement the pharmacological studies, we have established MM cells to express inducible CRISPR/Cas9 constructs encoding 4 independent small guide RNAs targeting CDK7, resulting in the reduction of the abundance of CDK7 protein by 20-60% which was sufficient to inhibit MM cell viability over time, phenocopying pharmacologic inhibition of CDK7. These results support the view that CDK7 is a pharmacologically relevant target for MM. Gene expression analysis after CDK7 inhibition in MM1S and H929 cells revealed that transcripts for only a subset of genes were substantially affected by treatment with low dose of YKL-5-124, showing a strong leading-edge enrichment for downregulation of E2F expression program, cell cycle, DNA damage, and MYC targets. We have indeed confirmed a potent reduction in phosphorylation of RB protein, with consequent decrease of E2F activity in MM cells confirmed using E2F-driven luciferase reporter. These data suggest significant role for CDK7 in the CDK-pRB-E2F pathway in MM, which was strengthened by the observation of a positive correlation between expression of CDK7 and expression of E2F target genes in primary MM cells (n=409). Finally, we have evaluated the in vivo effect of CDK7 inhibition in several murine models of human MM. In the localized subcutaneous model, and the disseminated MM model where treatment with YKL-5-124 decreased tumor burden and improved survival. The effect of CDK7 inhibition explored in an aggressive, genetically engineered model of Myc-dependent MM, revealed evidence of response by decline in measurement of monotypic serum immunoglobulins. In conclusion, our study demonstrates that CDK7 contributes to the 'transcriptional addiction' and the cell cycle deregulation frequently observed in MM and represents an attractive molecular vulnerability to be exploited therapeutically. Disclosures Anderson: Millenium-Takeda: Membership on an entity's Board of Directors or advisory committees; Gilead: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees; Sanofi-Aventis: Membership on an entity's Board of Directors or advisory committees; Bristol Myers Squibb: Membership on an entity's Board of Directors or advisory committees; Oncopep and C4 Therapeutics.: Other: Scientific Founder of Oncopep and C4 Therapeutics.; Celgene: Membership on an entity's Board of Directors or advisory committees. Munshi:Takeda: Consultancy; Karyopharm: Consultancy; AbbVie: Consultancy; Amgen: Consultancy; Legend: Consultancy; Adaptive: Consultancy; Janssen: Consultancy; C4: Current equity holder in private company; OncoPep: Consultancy, Current equity holder in private company, Membership on an entity's Board of Directors or advisory committees, Patents & Royalties; BMS: Consultancy. Fulciniti:NIH: Research Funding.

AbstractWe studied 2,528 patients with upfront autologous haematopoietic cell transplantation (AHCT) for multiple myeloma (MM) from 2008–2017 to develop a prognostic model to predict outcomes. High‐risk cytogenetics included t(4;14), t(14;16), t(14;20), del13q on karyotype, del17p, +1q or 1pdel. A Cox model identified factors prognostic of progression/relapse in a training subset (n = 1,246). A weighted score using these factors was assigned to a validation cohort (n = 774). Presence of high‐risk cytogenetics [hazard ratio, (HR) 1·68 (1·3–2·17)] and pre‐AHCT bone marrow plasma cells (BMPCs) ≥10% [1·68 (1·33–2·12)] were assigned 4 points each; albumin at diagnosis <3·5 g/dl [1·31 (1·07–1·61)] 2; standard risk cytogenetics 1, and no cytogenetics abnormality, BMPCs <10% at AHCT and albumin ≥3·5 g/dl at diagnosis 0 points each. A three‐category system with low risk (0–3), intermediate risk (4–8) and high risk (9–10) showed 3‐year progression‐free survival in the low vs. intermediate vs. high risk of 58% (95% CI: 52–63) vs. 49% (95% CI: 43–56) vs. 31% (95% CI: 12–51), P < 0.001 respectively, and 3‐year OS in low vs. intermediate vs. high risk of 88% (95% CI: 84–91) vs. 81% (95% CI: 76–86) vs. 64% (95% CI: 39–80); P < 0·001. Our prognostic scoring system can identify MM patients at risk for early relapse after AHCT.