Kuehl, W. Michael

Abstract Multiple myeloma (MM) is an incurable form of plasma cell cancer in which primary and secondary chromosomal translocations routinely juxtapose oncogenes to plasma cell-specific super-enhancers. Coincidentally, drugs which target super-enhancers have had success clinically. For example, immunomodulatory imide drugs (IMiDs) degrade super-enhancer-binding pioneer factors IKAROS and AIOLOS, while glucocorticoids (Dexamethasone) and proteasome inhibitors (Bortezomib) have the ability to transrepress or block the processing of super-enhancer-forming NF-κB proteins, respectively. Currently, alternative enhancer-targeting drugs are also in clinical development, like p300 inhibitors which target the acetyl-binding bromodomains and/or histone acetyl transferase activity of the chromatin-regulating coactivator homologs CBP and EP300. Despite showing therapeutic promise, our understanding of how these drugs function, alone or together, remains incomplete. Case in point, we find that IMiD-induced degradation of its target proteins IKAROS and AIOLOS does not guarantee a therapeutic response in vitro, and patients successfully treated with IMiDs eventually relapse; meanwhile, coactivator-targeting therapies like p300 inhibitors are often too toxic in vivo, and lack a therapeutic window. To improve the outcomes of MM patients we need to understand the heterogeneous genetics and transcription-factor milieus of the myeloma enhancer landscape, as well as how to increase the precision of enhancer-disrupting drugs. To accomplish this, our lab utilizes more than 60 human myeloma cell lines that have been extensively characterized at the genetic, proteomic, and drug-therapeutic-response levels. Additionally, we have generated a highly-predictive immunocompetent mouse model (Vk*MYC hCRBN+) that develops human-like MM and is sensitive to both IMiDs and a new class of therapeutics termed "degronimids" (normal mice do not respond to IMiDs or degronimids). Our central hypothesis is that combining a broad coactivator-targeting drug (e.g., the p300 inhibitor GNE-781), with a MM-specific transcription factor-targeting drug (e.g., IMiDs) restricts toxicities to myeloma cells and thus improves the therapeutic window. Currently, we are testing a variety of coactivator-targeting compounds alongside traditional IMiD therapies and other preclinical transcription factor-targeting drugs both in vivo and in vitro. We show that Vk*MYC hCRBN+ mice are exquisitely sensitive to GNE-781, requiring one fourth of the dose needed to treat other cancers and therefore avoiding the neutropenia and thrombocytopenia seen at higher doses. Second, we show that although IMiDs and GNE-781 induce an effective but transient response in vivo as single agents, the combination of the two drugs proved curative, with a progressive deepening of the anti-tumor response occurring even after therapy is discontinued. Ongoing experiments aim to determine how this drug combination, and other coactivator + transcription factor-targeting combinations, permanently disrupt myeloma-specific super-enhancers. Disclosures Neri: BMS: Consultancy, Honoraria; Sanofi: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Janssen: Consultancy, Honoraria. Bahlis: Sanofi: Consultancy, Honoraria; GlaxoSmithKline: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Pfizer: Consultancy, Honoraria; BMS/Celgene: Consultancy, Honoraria; Abbvie: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Karyopharm: Consultancy, Honoraria; Genentech: Consultancy. Boise: AstraZeneca: Honoraria, Research Funding; AbbVie/Genentech: Membership on an entity's Board of Directors or advisory committees. Chesi: Abcuro: Patents & Royalties: Genetically engineered mouse model of myeloma; Pi Therapeutics: Patents & Royalties: Genetically engineered mouse model of myeloma; Pfizer: Consultancy; Novartis: Consultancy, Patents & Royalties: human CRBN transgenic mouse; Palleon Pharmaceuticals: Patents & Royalties: Genetically engineered mouse model of myeloma.

Abstract The availability of human myeloma cell lines (HMCLs) has drastically benefited out understanding of multiple myeloma (MM). They represent essential resources to the myeloma research community at large who use them to identify and more importantly validate oncogenic events in MM. Furthermore, they represent the front line tools in efforts to identify novel therapeutic agents for MM patients. However, the myeloma research community is not immune to problems of cell line contamination (mixed populations) or systemic errors where HMCLs are labeled incorrectly. As the community evolves towards the development of tailor medicine it is essential that our basic tools are both pure and correct. Otherwise, a potentially beneficial therapeutic agent designed for a specific patient subset maybe lost simply because of a simple laboratory mix-up at some point over the years. To that end we have developed a simple PCR based method that can be used to validate the purity and authenticity of HMCLs. First two reference collections of over 50 HMCL maintained at the NCI and Mayo Clinic Arizona were compared using microsatellite fingerprinting. This process identified several previously unnoticed discrepancies. First, in both labs several cell lines that reportedly originated from different patients had the same fingerprints. These include the following unexpected pairs; ANBL-6 and DP–6, CAG and ARP–1, KMS–11 and KMS–20, KMS–11 and KMS–21PE/BM, JIM3 and KPMM2. Second, both KP–6 and KAS6/1 showed a level of cross-contamination with ANBL–6. All of the discrepant cell lines were requested from the original contributor and those that were available were retested. After this step we had identified unique fingerprints for ANBL–6, DP–6, KMS–11, and KMS–20. Furthermore, pure populations of KP–6 and KAS6/1 were confirmed. However, CAG and ARP–1 still had an identical fingerprint. Since the use of microsatellite fingerprinting is an expensive task and the identification of cross-contamination is not very robust we set out to develop better method. We decided to use a simple qualitative PCR method, as the binomial presence or absence of a band makes the interpretation of the fingerprint extremely easy. Furthermore, the high sensitivity of a qualitative PCR can pick up a small amount of contamination in the culture that can be lost in microsatellite analysis. This method involves a multiplex PCR screen that simultaneously interrogates 10 regions of the human genome. The screen is divided into two reactions, one with a panel of highly polymorphic copy number variations (CNV) that are often completely absent in some individuals, and a second one based on known biologic events present in the cell lines. The integration of the results from the CNV and Biological Fingerprints will identify each HMCL as a unique entity. We validated the methodology by confirming that this qualitative screen could pick up the cross–contamination identified in the original KP–6 and KAS6/1 samples. As our understanding of myeloma increases and we strive to develop new therapies for specific biological entities it will be essential that groups confirm both the authenticity and purity of their test cultures. We hope that widespread use of this simple screening methodology will significantly improve the quality and reproducibility of assays carried out in labs around the world.

Abstract MYC dysregulation, the most common genetic aberration in multiple myeloma, is frequently due to the translocation of super-enhancers to the MYC locus. Several drugs target proteins that are enriched at many of these enhancers including BRD4 (BET inhibitors, BETi) and Ikaros (IMiDs), although their mechanism of action remains poorly understood. Here we present a characterization of the responses to these drugs in a collection of over sixty myeloma cell lines having a diversity of MYC rearrangements. We found that the anti-proliferative effects of these drugs significantly correlated with changes in MYC protein levels, consistent with both drugs targeting MYC expression. Despite this common target, there was no statistically significant correlation between the individual BETi and IMiD responses, suggesting that they act through different mechanisms. Of those lines having extremes of sensitivity or resistance, there were two major groups (BETiS/IMiDS and BETiS/IMiDR), a smaller group of four lines resistant to both drugs individually (BETiR/IMiDR) and only one line was BETiR/IMiDS. In the BETiR/IMiDR group, resistance to BETi was mediated by a BRD4-independent mechanism as BRD4 was efficiently released from the MYC-associated enhancers. In all three of BETiR/IMiDR cell lines that we examined, treatment with BETi and IMiD together abolished proliferation and down-regulated MYC, consistent with parallel BRD4- and Ikaros-dependent pathways driving MYC expression. These resistant lines all expressed high levels of the transcription factor ETV4 and knocking out its gene sensitized a line to each drug individually. Thus ETV4 appears to be necessary for the parallel pathways driving MYC expression. There were nine lines in the BETiS/IMiDR group. Sensitivity to BETi in these lines could be explained by either low ETV4 expression or by BETi repressing Ikaros levels (which was only observed in BETiS lines, suggesting that BRD4 drives IKZF1 expression in these lines). Thus, in ETV4-containing lines, BETi sensitivity is due to the simultaneously targeting of the BRD4- and Ikaros-dependent pathways. IMiD resistance likely was due to several reasons. In one cell line, OCIMY5, IMiD had little effect on Ikaros levels, likely due to the previously reported low levels of Cereblon. Seven of the eight remaining lines expressed high levels of either ETV4, or the other potential super-enhancer binding factors IRF4 or RUNX1. In the eight BETiS/IMiDS cell lines, IMiD strongly reduced both Ikaros and Aiolos protein levels, which likely caused IMiD sensitivity. As with the BETiS lines described above, the lines in this group either lacked ETV4 or BETi repressed Ikaros levels. In conclusion, by examining drug response in a collection of genetically annotated myeloma cell lines we have been able to identify factors that contribute the broad range of responses to BETi and IMiDs in myeloma cells. Citation Format: Daniel L. Riggs, Camille Herzog, Victoria M. Garbitt, Niamh Keane, Courtney J. Hillukka, Zachary J. Hammond, Julia E. Wiedmeier, Seth J. Welsh, Shulan Tian, Huihuang Yan, Ranjan Maity, Nizar Bahlis, Paola Neri, W Michael Kuehl, Marta Chesi, P Leif Bergsagel. IMiDs and BET inhibitors target distinct pathways of MYC dysregulation by super-enhancers in 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 3015.

Significance We show that DNA double-strand breaks (DSBs) can be repaired by insertion of 50- to 1,000-bp sequences termed “templated-sequence insertions” (TSIs) derived from distant regions of the genome. Additional experiments indicate that the source of template for repair was primarily nuclear RNA. This mode of DNA-DSB repair by insertion is not restricted to experimentally produced breaks but also occurs at the site of spontaneous DNA DSBs in human cells. These TSIs are polymorphic in the human genome, suggesting that some TSIs occur in germ cells or embryos. Recognition of these TSIs is important in interpreting structural variations in short-read sequencing studies and provides additional polymorphic markers for population and evolution studies. This error-prone form of DNA repair may play a role in genetic diseases.

Abstract Mutations involving the nuclear factor-κB (NF-κB) pathway are present in at least 17% of multiple myeloma (MM) tumors and 40% of MM cell lines (MMCLs). These mutations, which are apparent progression events, enable MM tumors to become less dependent on bone marrow signals that activate NF-κB. Studies on a panel of 51 MMCLs provide some clarification of the mechanisms through which these mutations act and the significance of classical versus alternative activation of NF-κB. First, only one mutation (NFKB2) selectively activates the alternative pathway, whereas several mutations (CYLD, NFKB1, and TACI) selectively activate the classical pathway. However, most mutations affecting NF-κB–inducing kinase (NIK) levels (NIK, TRAF2, TRAF3, cIAP1&2, and CD40) activate the alternative but often both pathways. Second, we confirm the critical role of TRAF2 in regulating NIK degradation, whereas TRAF3 enhances but is not essential for cIAP1/2-mediated proteasomal degradation of NIK in MM. Third, using transfection to selectively activate the classical or alternative NF-κB pathways, we show virtually identical changes in gene expression in one MMCL, whereas the changes are similar albeit nonidentical in a second MMCL. Our results suggest that MM tumors can achieve increased autonomy from the bone marrow microenvironment by mutations that activate either NF-κB pathway.

There appear to be two pathways involved in the pathogenesis of premalignant non-immunoglobulin M (IgM) monoclonal gammopathy of undetermined significance (MGUS) and multiple myeloma (MM). Nearly half of tumors are nonhyperdiploid, and mostly have one of five recurrent IgH translocations: 16% 11q13 (CCN D1), 3% 6p21 (CCN D3), 5% 16q23 (MAF), 2% 20q12 (MAFB), and 15% 4p16 (FGFR3 and MMSET). The remaining hyperdiploid tumors have multiple trisomies involving chromosomes 3, 5, 7, 9, 11, 15, 19, and 21, and infrequently one of these five translocations. Although cyclin D1 is not expressed by healthy lymphoid cells, it is bi-allelically dysregulated in a majority of hyperdiploid tumors. Virtually all MM and MGUS tumors have dysregulated and/or increased expression of cyclin D1, D2, or D3, providing an apparent early, unifying event in pathogenesis. The patterns of translocations and cyclin D expression (TC) define a novel classification that includes eight groups: 11q; 6p; MAF; 4p; D1 (34%); D1+D2 (6%); D2 (17%); and none (2%). The hyperdiploid D1 group is virtually absent in extramedullary MM and MM cell lines, suggesting a particularly strong dependence on interaction with the bone marrow microenvironment. Despite shared progression events (RAS mutations, MYC dysregulation, p53 mutations, and additional disruption of the retinoblastoma pathway), the phenotypes of MGUS and MM tumors in the eight TC groups is determined mainly by early oncogenic events. Similar to acute lymphocytic leukemia, MM seems to include several diseases (groups) that have differences in early or initiating events, global gene expression patterns, bone marrow dependence, clinical features, prognosis, and response to therapy.