CD62L Expression Level Dictates the Cell Fate of Myeloid Progenitors in Mice and Humans

Hematopoietic cells are hierarchically differentiated from hematopoietic stem cells through several progenitors. Recent studies showed that each progenitor population has significant heterogeneity and some of the subsets have skewed differentiation potential. However, it has not been elucidated how and when common myeloid progenitors (CMPs) and granulocyte-monocyte progenitors (GMPs) acquire different fates. We hypothesized that progenitor cells with skewed differentiation potential had acquired a part of gene expression profiles of more differentiated cells. By analyzing publicly available single-cell RNA sequencing data of human and murine CMPs and GMPs, we thoroughly explored surface markers with heterogeneous expression patterns and identified CD62L as a candidate to refine the differentiation potential of CMPs and GMPs. First, at CMP level, we clarified that CD62L-low CMPs had genuine CMP potential, whereas CD62L-high CMPs were mostly restricted to GMP potentials in both mice and humans. CD62L expression on CMPs was widely distributed and when divided into low, middle, and high fraction, colony forming-cell assay showed that murine CD62L-high CMPs mostly differentiated into CD11b-positive granulocytes and macrophages (97.4 ± 1.7%), whereas CD62L-low CMPs produced many erythroid and megakaryocytic colonies (38.7 ± 3.3%), and human CMPs had similar tendency. Also, liquid culture assay showed that murine CD62L-low CMPs differentiated into both GMPs (43.3 ± 4.1%) and megakaryocyte-erythrocyte progenitors (MEPs) (20.6 ± 3.7%), while CD62L-high CMPs mainly produced GMPs (82.8 ± 1.7%) and the proportion of MEPs was only 1.3 ± 0.1%. As for in vivo kinetics, we transplanted CD62L-low and high CMPs from GFP-expressing mice into irradiated wild-type mice, thus donor-derived platelets can be detected as GFP-positive. On day 7 after transplantation of each 15,000 cells, GFP-positive platelets from CD62L-low CMPs accounted for 9.8 ± 2.7% of all platelets, meanwhile CD62L-high CMPs accounted for only 0.20 ± 0.14%, which reinforced our hypothesis. Moreover, we performed transcriptome analysis using data of murine and human CMPs and focused on several transcription factors. Gata1, Klf1, Tal1 and Gfi1b are important transcription factors for erythroid and megakaryocytic differentiation, and these expressions were exclusively high in CD62L-low CMPs. On the other hand, Spi1 and Irf8 are important for differentiation into granulocytes and monocytes, and these expressions were higher in CD62L-high CMPs, which further corroborated the role of CD62L as a marker for refining the differentiation fate of CMPs. Second, at GMP level, we found that part of CD62L-neg GMPs possess remaining CMP potential and CD62L-low GMPs were skewed to granulocyte differentiation. CD62L expression on GMPs was mostly positive, but when we defined lowest 10% of GMPs as CD62L-neg GMPs, colony-forming cell assay in mice showed that part of CD62L-neg GMPs produced erythroid and megakaryocytic colonies (3.9 ± 2.6%), which suggested that this subset still possesses CMP potential. In vivo transplantation experiment using GFP-positive mice showed that CD62L-neg GMPs produced GFP-positive platelets slightly (0.02 ± 0.01%), but no platelets from CD62L-positive GMPs. Also, single-cell RNA-seq data revealed that part of CD62L-neg GMPs had CMP-specific gene expression pattern, suggesting that the bona fide GMPs were restricted to CD62L-positive GMPs. Next, we divided GMPs into CD62L-low and high GMPs, and performed colony-forming cell assay. CD62L-low GMPs produced granulocyte colony (CFU-G) 73.2 ± 6.1% and macrophage colony (CFU-M) 17.4 ± 3.3%, whereas CD62L-high GMPs produced CFU-G 46.6 ± 1.7% and CFU-M 42.9 ± 2.7%, which suggested that CD62L-low GMPs were granulocyte-skewed population. Also, we performed in vivo transplantation assay using Ly5.1 and Ly5.2 mice. On day 5 after transplantation, murine CD62L-low GMPs produced more neutrophils (87.6 ± 3.1%) in spleen than bulk GMPs (78.9 ± 1.9 %), which further confirmed this hypothesis. In summary, our in vitro and in vivo experiment and transcriptome analysis revealed that CMPs and GMPs had high heterogeneity. CD62L expression level refines the definition of CMPs and GMPs in both mice and humans, and elucidates the differentiation mechanism of myeloid cells in more detail. Disclosures Nakahara: Bristol-Myers Squibb Company: Honoraria; Eisai Co., Ltd.: Honoraria; Astellas Pharma Inc.: Honoraria. Kagoya:NIPPON SHINYAKU CO.,LTD.: Research Funding; Bristol-Myers Squibb Company: Research Funding; Kyowa Kirin Co., Ltd.: Research Funding. Kurokawa:Eisai: Research Funding, Speakers Bureau; Teijin: Research Funding; Bioverativ Japan: Consultancy; Celgene: Consultancy, Speakers Bureau; Daiichi Sankyo: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Nippon Shinyaku: Research Funding, Speakers Bureau; Sumitomo Dainippon Pharma: Research Funding, Speakers Bureau; Bristol-Myers Squibb: Speakers Bureau; Boehringer Ingelheim: Speakers Bureau; Ono: Research Funding, Speakers Bureau; Jansen Pharmaceutical: Speakers Bureau; Shire Plc: Speakers Bureau; MSD: Consultancy, Research Funding, Speakers Bureau; Chugai: Consultancy, Research Funding, Speakers Bureau; Sanwa-Kagaku: Consultancy; Pfizer: Research Funding; Otsuka: Research Funding, Speakers Bureau; Astellas: Research Funding, Speakers Bureau; Kyowa Kirin: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Takeda: Research Funding, Speakers Bureau.

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The BET Inhibitor INCB054329 Primes AML Cells for Venetoclax-Induced Apoptosis

Blood ◽

10.1182/blood-2018-99-111393 ◽

2018 ◽

Vol 132 (Supplement 1) ◽

pp. 4074-4074

Author(s):

Haley Ramsey ◽

Susu Zhang ◽

Yue Zhao ◽

Melissa Ann Fischer ◽

Agnieszka Ewa Gorska ◽

...

Keyword(s):

Gene Expression ◽

Cell Cycle ◽

Rna Polymerase ◽

Growth Inhibition ◽

Board Of Directors ◽

Research Funding ◽

Advisory Committees ◽

Cycle Arrest ◽

Bet Inhibitors

Abstract Bromodomain and extra-terminal (BET) inhibitors may be efficacious for treatment of acute myeloid leukemia because they attenuate the expression of critical oncogenes including MYC and BCL2. These BET inhibitors (BETi) disrupt the transcriptional elongation process by displacing BET family members BRD2,3, and 4 off of chromatin, and causing RNA polymerase promoter-proximal pausing. We used precision nuclear run-on transcription sequencing (PROseq) to directly measure the effects of INCB054329, a potent BETi, on RNA polymerase II pausing and elongation. We found dramatic reductions on the elongation of key oncogenes such as MYC and BCL2 within 15 min of adding the drug. These effects became more significant over time, eventually affecting nearly two thousand genes. By four hours after drug addition, we found a loss of ribosomal gene expression and a loss of mitochondrial gene expression that is characteristic of genes regulated by MYC, suggesting that these were secondary to turning off MYC expression. When we examined the potential of the BETi INCB054329 for therapeutic efficacy in AML using Alamar Blue assays, which measure cellular redox potential, we noted marked growth inhibition of AML cell lines. However, growth assays and measurements of apoptosis using Annexin V staining found that BETi induced minimal apoptosis and cells were largely cytostatic. BrdU incorporation assays showed that INCB054329 caused the cells to accumulate in the G0/G1 phase of the cell cycle. Metabolic studies indicated that INCB054329 treatment for 48 hours caused disruption of mitochondrial respiration rate and severely reduced glycolytic capacity. Taken together, the growth inhibition, cell cycle arrest and reduced metabolic rate suggests that INCB054329 promoted quiescence in AML cells, but that this is reversible, consistent with the clinical experience of single-agent treatment of hematologic malignancies with BETi. MLL fusion proteins enhance transcription by stimulating RNA polymerase elongation, suggesting INCB054329may provide a therapeutic option to reverse this effect. However, the cell cycle arrest suggested that a second compound may be needed to trigger cell death. We first performed in vivo studies with INCB054329 using a systemic AML xenograft model of MV4-11 cells that express MLL-AF4. Engrafted NSGS mice received INCB054329 in 3 different doses (vehicle vs 10, 30 and 75mg/kg q.d) daily. During treatment, the kinetics of MV-4-11 expansion was monitored via flow cytometry for the detection of human AML in the blood. At approximately 4 weeks after transplant, the vehicle mice became moribund, and all experimental groups were sacrificed for analysis of chimerism. Significant decreases in leukemic expansion were evident in the bone marrow (vehicle vs75mg/kg, p<.001) and spleen (vehicle vs. 75mg/kg, p <.001) of treated mice. As BETi decreases expression of BCL2, we posited that BH3 directed therapy with the BCL-2 inhibitor venetoclax (VEN) could be enhanced by INCB054329. In vitro, we found that the combination of INCB054329 and VEN resulted in significant growth inhibition and apoptosis of treated AML cells. This finding prompted us to test the combination of INCB054329 with VEN in vivo. Mice engrafted with human AML cells received INCB054329 (50mg/kg q.d), VEN (25mg/kg q.d) or the combination. Four weeks after transplant, analyses by flow cytometric measurement of human CD45 of combination treated mice revealed significant decreases of AML cells in the bone marrow (vehicle vs. BRDi/VEN p = 0.004) and spleen (vehicle vs.BRDi/VEN, p = 0.001). Further studies are underway to test this combination in both VEN sensitive and resistant AML primary xenograftmodels. These preliminary data suggest that INCB054329 may serve as a non-cytotoxic priming agent for BH3 directed therapy, and the combination of INCB054329 +VEN may provide a potent therapy in a variety of genetically distinct subtypes of AML. Disclosures Stubbs: Incyte: Employment. Liu:Incyte: Employment. Rathmell:Calithera: Research Funding. Hiebert:Incyte: Research Funding. Savona:Boehringer Ingelheim: Consultancy; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees; Incyte: Membership on an entity's Board of Directors or advisory committees, Research Funding.

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MCT1 As Molecularly Validated Predictive Marker for Lenalidomide-Maintenance Therapy in Multiple Myeloma

Blood ◽

10.1182/blood-2019-130734 ◽

2019 ◽

Vol 134 (Supplement_1) ◽

pp. 3187-3187

Author(s):

Jacob Stroh ◽

Anja Seckinger ◽

Michael Heider ◽

Ruth Eichner ◽

Martina Emde ◽

...

Keyword(s):

Gene Expression ◽

Board Of Directors ◽

Research Funding ◽

Maintenance Treatment ◽

Xenograft Model ◽

Predictive Marker ◽

High Dose ◽

Advisory Committees

Introduction: Lenalidomide-based maintenance therapy is the currently approved standard of care for multiple myeloma (MM) patients after high-dose melphalan and autologous stem cell transplantation (HD-Mel), which significantly prolongs progression-free (PFS) and overall survival (OS). For patients with del17p bortezomib based maintenance treatment is considered overcoming adverse prognosis of this aberration. Predictive markers of response to lenalidomide maintenance have remained elusive. We have previously shown that IMiDs exert their anti-MM activity via destabilization of MCT1 and CD147 and combined overexpression reduces response to lenalidomide-treatment in vitro and in an in vivo MM xenograft model (Eichner et al. Nature Medicine 2016). Methods: CD138-purified myeloma cell samples of 654 patients receiving high-dose melphalan therapy and autologous stem cell transplantation and either bortezomib (n=101), thalidomide (n=98) or lenalidomide (n=455) maintenance treatment were assessed by gene expression profiling (GEP) using U133 2.0 plus DNA microarrays, 316 by RNA-sequencing (RNA-seq). Expression of CD147 and MCT1 were assessed and correlated with PFS and OS data. Gene expression based risk scores, including UAMS70-gene, Rs-score and gene expression based proliferation index were assessed alongside routine iFISH-analysis. Survival curves and median time to progression were computed with nonparametric survival estimates for censored data using the Kaplan-Meier method. Difference between the curves were tested using the G-rho Log-rank test. Landmark analysis was performed by defining an alternative start point (landmark) at 12 months. In vitro, CD147 and MCT1 were lentivirally overexpressed in MM1S cells, which were subjected to lenalidomide or bortezomib treatment and proliferation analysis. Xenografted MM-tumors were followed by 18FDG-PET and analyzed by immunohistochemistry. Results: Patients with high gene expression levels of MCT1 showed significantly reduced PFS (31.9 vs. 48.2months in MCT1high vs. MCT1low,P=.03) and OS (75.9 months vs. not reached (NR) months in MCT1high vs. MCT1low; P=.001) in case of lenalidomide maintenance. Likewise, patients with thalidomide maintenance showed reduced PFS (34.8 vs. 43.7 months in MCT1high vs. MCT1low, P=.23) and significantly shorter OS (83.6 months vs. not reached (NR) months in MCT1high vs. MCT1low;P=.03). For bortezomib based maintenance, MCT1 expression had no significant impact on PFS (39.8 months vs. 32.6 months in MCT1high vs. MCT1low) and OS (125.8 months vs. 129.8 months in MCT1high vs. MCT1low). No association with other prognostic factors was found. As still differences between MCT1high vs. MCT1lowexpression myeloma cells might be attributed to undiscerned molecular factors and for functional validation, we lentivirally overexpressed CD147 and MCT1 in human myeloma cell lines. Overexpression of MCT1 significantly reduced cytotoxicity of lenalidomide, while no change was observed in MM cells treated with bortezomib. We subsequently validated our results in vivo. Functional investigations in the mechanism of MCT1 impact on cellular survival are ongoing. Conclusion: Taken together MCT1 expression as potential predictive marker for response to IMiD-based maintenance treatment. Both PFS and OS were significantly reduced in patients with high gene expression levels of MCT1. In vitro and in vivo (xenograft model), MCT1 overexpression reduced sensitivity to lenalidomide unlike bortezomib treatment. Disclosures Salwender: Bristol-Myers Squibb: Honoraria, Other: Travel or accommodations; Janssen Cilag: Honoraria, Other: Travel or accommodations; AbbVie: Honoraria; Celgene: Honoraria, Other: Travel or accommodations; Sanofi: Honoraria, Other: Travel or accommodations; Takeda: Honoraria, Other: Travel or accommodations; Amgen: Honoraria, Other: Travel or accommodations. Bertsch:Sanofi: Other: travel support; Celgene: Other: travel support. Goldschmidt:Chugai: Honoraria, Research Funding; Amgen: Consultancy, Research Funding; Takeda: Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Membership on an entity's Board of Directors or advisory committees, Research Funding; Adaptive Biotechnology: Membership on an entity's Board of Directors or advisory committees; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Molecular Partners: Research Funding; Bristol-Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Consultancy, Research Funding; Dietmar-Hopp-Stiftung: Research Funding; John-Hopkins University: Research Funding; John-Hopkins University: Research Funding; MSD: Research Funding; Mundipharma: Research Funding; Sanofi: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Weisel:Takeda: Consultancy, Honoraria; GSK: Honoraria; Sanofi: Consultancy, Honoraria, Research Funding; Janssen: Consultancy, Honoraria, Research Funding; Juno: Consultancy; Bristol-Myers Squibb: Consultancy, Honoraria; Celgene: Consultancy, Honoraria, Research Funding; Amgen: Consultancy, Honoraria, Research Funding; Adaptive Biotech: Consultancy, Honoraria. Scheid:Celgene: Honoraria; Janssen: Consultancy, Honoraria, Research Funding; Amgen: Consultancy, Honoraria; Takeda: Honoraria, Research Funding; Novartis: Honoraria, Research Funding; Bristol Myers Squibb: Honoraria. Bassermann:Celgene: Consultancy, Research Funding.

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CLL Mesenchymal Stromal Cells Have Decreased Replicative Potential and Senescent Phenotype: Clinical and Biologic Implications

Blood ◽

10.1182/blood.v124.21.3282.3282 ◽

2014 ◽

Vol 124 (21) ◽

pp. 3282-3282 ◽

Cited By ~ 1

Author(s):

Wei Ding ◽

Charla Secreto ◽

Xiaosheng Wu ◽

Esteban Braggio ◽

Yuji Zhang ◽

...

Keyword(s):

Gene Expression ◽

Bone Marrow ◽

Cell Growth ◽

B Cell ◽

Board Of Directors ◽

Transcriptome Analysis ◽

Research Funding ◽

Fixed Number ◽

Leukemic Cells ◽

Advisory Committees

Abstract Introduction We have previously developed a primary human bone marrow model in CLL which allows us to study marrow derived mesenchymal stroma cells (MSC) and mimic in vivoMSC-leukemic interactions in CLL (Ding, Blood, 2010) These interactions proved to be bidirectional with functional implications for both cell types. However the biologic and clinical implications of these bilateral cellular interactions in relation to MSC function in CLL patients have not been completely studied. MSC are clearly established as an essential component in forming supportive marrow niches for hematopoiesis. Our focus in this study thus was to further investigate on the status of CLL MSC function in comparison with normal MSC and the impact of the leukemic CLL B cell on MSC function and its role in forming marrow niches in CLL. Methods Bone marrow (BM) aspirates of CLL patients or normal age-matched subjects were used to generate MSC and these MSC were then assessed for various functions. Specifically we assessed the growth, differentiation capacity, gene expression, cytokine secretion profile and transcriptome analysis of CLL and normal MSC using colony forming unit (CFU) assay, MSC differentiation assay, Affymetrix U133 2.0 plus array and RNA sequencing respectively. To determine MSC CFU frequency, fixed number of nucleated cells (5 or 10 million) from BM aspirates were added in MSC growth medium for 10 days to form CFU. CFU frequency was then calculated by dividing the number of MSC colonies by the fixed number of inputted nucleated cells. In order to test the specific gene changes that occurred in MSC after their interaction with CLL leukemic cells, normal MSC were co-cultured with CLL cells for 1 week and subsequently followed by cell growth, gene expression analysis with RNA sequencing and cytokine profiles using a multiplex assay. Results CLL MSC generated significantly lower CFU colonies compared to normal subjects (CLL [n=24] vs normal [n=6] mean: 2.2 vs. 22 CFU per million nucleated cells, p=0.01). In order to test if the lower number of CLL MSC CFU was due to their reduced growth capacity or lower frequency, we then performed the CFU assay using identical numbers of CLL and normal MSC at the start of culture. CLL MSC was found to have significantly lower CFU capacity compared to normal MSC (mean: 2.1 [CLL] vs 4.5 [normal] CFU/10 input cell, n=7 in each group, p=0.03). To investigate the mechanism(s) for the reduced growth capacity of CLL MSC, we compared the gene expression profiles of non-stimulated CLL vs. normal MSC (n=10 for each group) with the following outcomes: CLL MSC had increased expression of cell cycle inhibitor: p16(Ink4a) and p57, both key markers of cell senescence (Baker, Nature, 2011); CLL MSC overexpressed homeobox B cluster of transcription factors, key regulator for cell development and differentiation. Wnt inhibitors DKK1/DKK2 and non-canonical Wnt 5b known to be associated with aging were found to be 10 and 2 fold more elevated in CLL MSC. In addition, MSC abundantly produced a milieu of the cytokines MCP-1/IL-8/IL-6/IL-1Ra after interaction with CLL leukemic cells. These cytokines are associated with a senescent associated secretory phenotype (SASP). Co-culture experiments of normal MSC with CLL Leukemic cells revealed significant impact of leukemic cells on normal MSC functions. Co-culture with a low density of CLL leukemic cells (CLL to MSC ratio: ≤10,000/1) increased MSC growth (1.2 fold). However, high density co-culture of CLL cells with MSC (CLL to MSC ratio of 100,000/1) inhibited MSC growth (0.8 fold). Transcriptome analysis of normal MSC before and after one week of co-culture with CLL leukemic cells showed that normal MSC had alteration of ~1500 genes. Many of the modified genes (CDKN2B, DKK2, LIF, HGF, FOXQ1 etc) are known to be involved in regulation of cell growth and senescence. Conclusion Collectively, these results demonstrated that bone marrow derived CLL MSC have decreased proliferative potential and possess senescent phenotypes. Importantly these senescent features were inducible in normal MSC after their interaction with CLL leukemic cells implying that leukemic B cells can educate MSC to become senescent. The implications of the CLL MSC senescence status are multiple and include: defective hematopoietic niches due to dysfunctional MSC, immune dysregulation and the enhanced nurturing of CLL B cell by these MSC. We are now investigating several of these latter features in our current work. Disclosures Shanafelt: Genentech: Research Funding; GlaxoSmithKline: Research Funding; Celegene: Research Funding; Cephalon: Research Funding; Pharmacyclics/Jannsen: Research Funding; Hospira: Research Funding; Polyphenon E Int'l: Research Funding. Kay:Genetech: Research Funding; Pharmacyclics: Research Funding; Hospira: Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees; Gilead: Membership on an entity's Board of Directors or advisory committees.

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Distinct Gene Expression Signatures in Patients with Richter's Syndrome and Chronic Lymphocytic Leukemia with Prior Exposure to Ibrutinib

Blood ◽

10.1182/blood-2020-136172 ◽

2020 ◽

Vol 136 (Supplement 1) ◽

pp. 30-31

Author(s):

Hanyin Wang ◽

Shulan Tian ◽

Qing Zhao ◽

Wendy Blumenschein ◽

Jennifer H. Yearley ◽

...

Keyword(s):

Gene Expression ◽

B Cell ◽

Board Of Directors ◽

Research Funding ◽

Cell Activation ◽

Expression Profiles ◽

Lymphocytic Leukemia ◽

B Cell Activation ◽

Advisory Committees ◽

Upregulated Genes

Introduction: Richter's syndrome (RS) represents transformation of chronic lymphocytic leukemia (CLL) into a highly aggressive lymphoma with dismal prognosis. Transcriptomic alterations have been described in CLL but most studies focused on peripheral blood samples with minimal data on RS-involved tissue. Moreover, transcriptomic features of RS have not been well defined in the era of CLL novel therapies. In this study we investigated transcriptomic profiles of CLL/RS-involved nodal tissue using samples from a clinical trial cohort of refractory CLL and RS patients treated with Pembrolizumab (NCT02332980). Methods: Nodal samples from 9 RS and 4 CLL patients in MC1485 trial cohort were reviewed and classified as previously published (Ding et al, Blood 2017). All samples were collected prior to Pembrolizumab treatment. Targeted gene expression profiling of 789 immune-related genes were performed on FFPE nodal samples using Nanostring nCounter® Analysis System (NanoString Technologies, Seattle, WA). Differential expression analysis was performed using NanoStringDiff. Genes with 2 fold-change in expression with a false-discovery rate less than 5% were considered differentially expressed. Results: The details for the therapy history of this cohort were illustrated in Figure 1a. All patients exposed to prior ibrutinib before the tissue biopsy had developed clinical progression while receiving ibrutinib. Unsupervised hierarchical clustering using the 300 most variable genes in expression revealed two clusters: C1 and C2 (Figure 1b). C1 included 4 RS and 3 CLL treated with prior chemotherapy without prior ibrutinib, and 1 RS treated with prior ibrutinib. C2 included 1 CLL and 3 RS received prior ibrutinib, and 1 RS treated with chemotherapy. The segregation of gene expression profiles in samples was largely driven by recent exposure to ibrutinib. In C1 cluster (majority had no prior ibrutinb), RS and CLL samples were clearly separated into two subgroups (Figure 1b). In C2 cluster, CLL 8 treated with ibrutinib showed more similarity in gene expression to RS, than to other CLL samples treated with chemotherapy. In comparison of C2 to C1, we identified 71 differentially expressed genes, of which 34 genes were downregulated and 37 were upregulated in C2. Among the upregulated genes in C2 (majority had prior ibrutinib) are known immune modulating genes including LILRA6, FCGR3A, IL-10, CD163, CD14, IL-2RB (figure 1c). Downregulated genes in C2 are involved in B cell activation including CD40LG, CD22, CD79A, MS4A1 (CD20), and LTB, reflecting the expected biological effect of ibrutinib in reducing B cell activation. Among the 9 RS samples, we compared gene profiles between the two groups of RS with or without prior ibrutinib therapy. 38 downregulated genes and 10 upregulated genes were found in the 4 RS treated with ibrutinib in comparison with 5 RS treated with chemotherapy. The top upregulated genes in the ibrutinib-exposed group included PTHLH, S100A8, IGSF3, TERT, and PRKCB, while the downregulated genes in these samples included MS4A1, LTB and CD38 (figure 1d). In order to delineate the differences of RS vs CLL, we compared gene expression profiles between 5 RS samples and 3 CLL samples that were treated with only chemotherapy. RS samples showed significant upregulation of 129 genes and downregulation of 7 genes. Among the most significantly upregulated genes are multiple genes involved in monocyte and myeloid lineage regulation including TNFSF13, S100A9, FCN1, LGALS2, CD14, FCGR2A, SERPINA1, and LILRB3. Conclusion: Our study indicates that ibrutinib-resistant, RS-involved tissues are characterized by downregulation of genes in B cell activation, but with PRKCB and TERT upregulation. Furthermore, RS-involved nodal tissues display the increased expression of genes involved in myeloid/monocytic regulation in comparison with CLL-involved nodal tissues. These findings implicate that differential therapies for RS and CLL patients need to be adopted based on their prior therapy and gene expression signatures. Studies using large sample size will be needed to verify this hypothesis. Figure Disclosures Zhao: Merck: Current Employment. Blumenschein:Merck: Current Employment. Yearley:Merck: Current Employment. Wang:Novartis: Research Funding; Incyte: Research Funding; Innocare: Research Funding. Parikh:Verastem Oncology: Honoraria; GlaxoSmithKline: Honoraria; Pharmacyclics: Honoraria, Research Funding; MorphoSys: Research Funding; Ascentage Pharma: Research Funding; Genentech: Honoraria; AbbVie: Honoraria, Research Funding; Merck: Research Funding; TG Therapeutics: Research Funding; AstraZeneca: Honoraria, Research Funding; Janssen: Honoraria, Research Funding. Kenderian:Sunesis: Research Funding; MorphoSys: Research Funding; Humanigen: Consultancy, Patents & Royalties, Research Funding; Gilead: Research Funding; BMS: Research Funding; Tolero: Research Funding; Lentigen: Research Funding; Juno: Research Funding; Mettaforge: Patents & Royalties; Torque: Consultancy; Kite: Research Funding; Novartis: Patents & Royalties, Research Funding. Kay:Astra Zeneca: Membership on an entity's Board of Directors or advisory committees; Acerta Pharma: Research Funding; Juno Theraputics: Membership on an entity's Board of Directors or advisory committees; Dava Oncology: Membership on an entity's Board of Directors or advisory committees; Oncotracker: Membership on an entity's Board of Directors or advisory committees; Sunesis: Research Funding; MEI Pharma: Research Funding; Agios Pharma: Membership on an entity's Board of Directors or advisory committees; Bristol Meyer Squib: Membership on an entity's Board of Directors or advisory committees, Research Funding; Tolero Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees, Research Funding; Abbvie: Research Funding; Pharmacyclics: Membership on an entity's Board of Directors or advisory committees, Research Funding; Rigel: Membership on an entity's Board of Directors or advisory committees; Morpho-sys: Membership on an entity's Board of Directors or advisory committees; Cytomx: Membership on an entity's Board of Directors or advisory committees. Braggio:DASA: Consultancy; Bayer: Other: Stock Owner; Acerta Pharma: Research Funding. Ding:DTRM: Research Funding; Astra Zeneca: Research Funding; Abbvie: Research Funding; Merck: Membership on an entity's Board of Directors or advisory committees, Research Funding; Octapharma: Membership on an entity's Board of Directors or advisory committees; MEI Pharma: Membership on an entity's Board of Directors or advisory committees; alexion: Membership on an entity's Board of Directors or advisory committees; Beigene: Membership on an entity's Board of Directors or advisory committees.

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DYRK1A Is Regulated By Oncogenic KMT2A and Required for Survival of KMT2A-Rearranged Acute Lymphoblastic Leukemia

Blood ◽

10.1182/blood-2019-123475 ◽

2019 ◽

Vol 134 (Supplement_1) ◽

pp. 2742-2742

Author(s):

Christian Hurtz ◽

Gerald Wertheim ◽

Rahul S. Bhansali ◽

Anne Lehman ◽

Grace Jeschke ◽

...

Keyword(s):

Gene Expression ◽

B Cells ◽

Board Of Directors ◽

Research Funding ◽

Lymphoblastic Leukemia ◽

Leukemia Cell ◽

Negative Regulator ◽

Advisory Committees ◽

Normal Tissues ◽

Pharmacologic Inhibition

Background: Research efforts have focused upon uncovering critical leukemia-associated genetic alterations that may be amenable to therapeutic targeting with new drugs. Targeting the oncogenic BCR-ABL1 fusion protein in Philadelphia chromosome-positive B-cell acute lymphoblastic leukemia (B-ALL) with tyrosine kinase inhibitors to shut down constitutive signaling activation and induce leukemia cell cytotoxicity has remarkably improved patients' survival and has established a precision medicine paradigm for kinase-driven leukemias. However, multiple subtypes of B-ALL are driven through non-tyrosine fusion proteins, including the high-risk KMT2A-rearranged (KMT2A-R) subtype common in infants with B-ALL, leaving many patients with insufficient treatment options. Objectives: KMT2A-R B-ALL is associated with chemoresistance, relapse, and poor survival with a frequency of 75% in infants and 10% in older children/adults with B-ALL. Current intensive multiagent chemotherapy regimens induce significant side effects yet fail to cure the majority of patients, demonstrating continued need for novel therapeutic approaches. The goals of our study were to i) identify signaling molecules required for KMT2A-R B-ALL cell survival, ii) select ALL-associated targets that are not essential in normal tissues, and iii) develop new treatment strategies that may benefit patients with KMT2A-R ALL. Results: We performed a genome-wide kinome CRISPR screen using the pediatric KMT2A-R cell line SEM and identified DYRK1A among other signaling molecules as required for leukemia cell survival. DYRK1A is a member of the dual-specificity tyrosine phosphorylation-regulated kinase family and has been reported as a critical oncogene in a murine Down syndrome (DS) model of megakaryoblastic leukemia. In normal hematopoiesis, DYRK1A controls the transition from proliferation to quiescence during lymphoid development. Deletion of DYRK1A results in increased numbers of B cells in S-G2-M phase, yet also significantly reduces cell proliferation. Meta-analysis of ChIP-Seq data from two KMT2A-AFF1 cell lines (SEM and RS4;11) and a human KMT2A-Aff1-FLAG-transduced ALL model demonstrates that both N-terminal (KMT2AN) and C-terminal (AFF1C) and the FLAG-tagged KMT2A-Aff1 fusion directly bind to the DYRK1A promoter. Gene expression and RT-PCR analyses of SEM cells treated with inhibitors against two important KMT2A fusion complex proteins, DOT1L (histone methyltransferase) and menin (tumor suppressor), demonstrate that only menin inhibition induced DYRK1A downregulation. Interestingly, deletion of germline KMT2A in murine B-cells did not decrease DYRK1A expression. Taken together, these results suggest direct transcriptional regulation through the KMT2A fusion complex. Surprisingly, RNA and protein expression of DYRK1A was reduced in KMT2A-R ALL compared to other B-ALL subtypes. We then identified MYC as a potential negative regulator of DYRK1A that could explain the lower RNA and protein expression levels observed. A gain-of-function experiment showed marked downregulation of DYRK1A when MYC was ectopically expressed in murine B-cells, while loss of MYC resulted in DYRK1A upregulation. Parallel analysis of publicly available gene expression data from children with high-risk B-ALL (NCI TARGET database) showed significantly higher MYC RNA expression levels in KMT2A-R ALL as compared to other ALL subtypes, further validating our findings that MYC acts as a negative regulator of DYRK1A. Finally, to assess pharmacologic inhibition, we treated multiple KMT2A-rearranged ALL cell lines with the novel DYRK1A inhibitor EHT 1610 and identified sensitivity to DYRK1A inhibition. We then queried the Achilles database and identified that DYRK1A is not a common essential gene in normal tissues, suggesting minimal potential for on-target/off-tumor effects of DYRK1A inhibition. Conclusions: We identified a novel mechanism in KMT2A-R ALL in which DYRK1A is positively regulated by the KMT2A fusion protein and negatively regulated by MYC. Genetic deletion and pharmacologic inhibition of DYRK1A resulted in significant growth disadvantage of KMT2A-R ALL cells. While further studies are needed, we predict that combining DYRK1A inhibitors with chemotherapy could decrease relapse risk and improve long-term survival of patients with KMT2A-R B-ALL. Disclosures Crispino: MPN Research Foundation: Membership on an entity's Board of Directors or advisory committees; Sierra Oncology: Consultancy; Scholar Rock: Research Funding; Forma Therapeutics: Research Funding. Tasian:Incyte Corportation: Research Funding; Gilead Sciences: Research Funding; Aleta Biotherapeutics: Membership on an entity's Board of Directors or advisory committees. Carroll:Astellas Pharmaceuticals: Research Funding; Incyte: Research Funding; Janssen Pharmaceuticals: Consultancy.

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Dynamic Epigenetic Landscapes Define Multiple Myeloma Progression and Drug Resistance

Blood ◽

10.1182/blood-2020-142872 ◽

2020 ◽

Vol 136 (Supplement 1) ◽

pp. 32-33

Author(s):

Rafael Renatino-Canevarolo ◽

Mark B. Meads ◽

Maria Silva ◽

Praneeth Reddy Sudalagunta ◽

Christopher Cubitt ◽

...

Keyword(s):

Gene Expression ◽

Drug Resistance ◽

Disease Progression ◽

Board Of Directors ◽

Research Funding ◽

Chromatin Accessibility ◽

Refractory Disease ◽

Advisory Committees ◽

Cytogenetic Abnormalities ◽

Genome Wide

Multiple myeloma (MM) is an incurable cancer of bone marrow-resident plasma cells, which evolves from a premalignant state, MGUS, to a form of active disease characterized by an initial response to therapy, followed by cycles of therapeutic successes and failures, culminating in a fatal multi-drug resistant cancer. The molecular mechanisms leading to disease progression and refractory disease in MM remain poorly understood. To address this question, we have generated a new database, consisting of 1,123 MM biopsies from patients treated at the H. Lee Moffitt Cancer Center. These samples ranged from MGUS to late relapsed/refractory (LR) disease, and were comprehensively characterized genetically (844 RNAseq, 870 WES, 7 scRNAseq), epigenetically (10 single-cell chromatin accessibility, scATAC-seq) and phenotypically (537 samples assessed for ex vivo drug resistance). Mutational analysis identified putative driver genes (e.g. NRAS, KRAS) among the highest frequent mutations, as well as a steady increase in mutational load across progression from MGUS to LR samples. However, with the exception of KRAS, these genes did not reach statistical significance according to FISHER's exact test between different disease stages, suggesting that no single mutation is necessary or sufficient to drive MM progression or refractory disease, but rather a common "driver" biology is critical. Pathway analysis of differentially expressed genes identified cell adhesion, inflammatory cytokines and hematopoietic cell identify as under-expressed in active MM vs. MGUS, while cell cycle, metabolism, DNA repair, protein/RNA synthesis and degradation were over-expressed in LR. Using an unsupervised systems biology approach, we reconstructed a gene expression map to identify transcriptomic reprogramming events associated with disease progression and evolution of drug resistance. At an epigenetic regulatory level, these genes were enriched for histone modifications (e.g. H3k27me3 and H3k27ac). Furthermore, scATAC-seq confirmed genome-wide alterations in chromatin accessibility across MM progression, involving shifts in chromatin accessibility of the binding motifs of epigenetic regulator complexes, known to mediate formation of 3D structures (CTCF/YY1) of super enhancers (SE) and cell identity reprograming (POU5F1/SOX2). Additionally, we have identified SE-regulated genes under- (EBF1, RB1, SPI1, KLF6) and over-expressed (PRDM1, IRF4) in MM progression, as well as over-expressed in LR (RFX5, YY1, NBN, CTCF, BCOR). We have found a correlation between cytogenetic abnormalities and mutations with differential gene expression observed in MM progression, suggesting groups of genetic events with equivalent transcriptomic effect: e.g. NRAS, KRAS, DIS3 and del13q are associated with transcriptomic changes observed during MGUS/SMOL=>active MM transition (Figure 1). Taken together, our preliminary data suggests that multiple independent combinations of genetic and epigenetic events (e.g. mutations, cytogenetics, SE dysregulation) alter the balance of master epigenetic regulatory circuitry, leading to genome-wide transcriptional reprogramming, facilitating disease progression and emergence of drug resistance. Figure 1: Topology of transcriptional regulation in MM depicts 16,738 genes whose expression is increased (red) or decreased (green) in presence of genetic abnormality. Differential expression associated with (A) hotspot mutations and (B) cytogenetic abnormalities confirms equivalence of expected pairs (e.g. NRAS and KRAS, BRAF and RAF1), but also proposes novel transcriptomic dysregulation effect of clinically relevant cytogenetic abnormalities, with yet uncharacterized molecular role in MM. Figure 1 Disclosures Kulkarni: M2GEN: Current Employment. Zhang:M2GEN: Current Employment. Hampton:M2GEN: Current Employment. Shain:GlaxoSmithKline: Speakers Bureau; Amgen: Speakers Bureau; Karyopharm: Research Funding, Speakers Bureau; AbbVie: Research Funding; Takeda: Honoraria, Speakers Bureau; Sanofi/Genzyme: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Janssen: Honoraria, Speakers Bureau; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Adaptive: Consultancy, Honoraria; BMS: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Siqueira Silva:AbbVie: Research Funding; Karyopharm: Research Funding; NIH/NCI: Research Funding.

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A Comprehensive Analysis of Single-Cell Chromatin Accessibility and Gene Expression Identifies Intra-Tumor Heterogeneity and Molecular Treatment Responses in Relapsed/Refractory Multiple Myeloma

Blood ◽

10.1182/blood-2019-130051 ◽

2019 ◽

Vol 134 (Supplement_1) ◽

pp. 575-575

Author(s):

Alexandra M Poos ◽

Jan-Philipp Mallm ◽

Stephan M Tirier ◽

Nicola Casiraghi ◽

Hana Susak ◽

...

Keyword(s):

Gene Expression ◽

Single Cell ◽

Board Of Directors ◽

Research Funding ◽

Tumor Heterogeneity ◽

Mek Inhibitor ◽

Chromatin Accessibility ◽

University Research ◽

Sample Processing ◽

Advisory Committees

Introduction: Multiple myeloma (MM) is a heterogeneous malignancy of clonal plasma cells that accumulate in the bone marrow (BM). Despite new treatment approaches, in most patients resistant subclones are selected by therapy, resulting in the development of refractory disease. While the subclonal architecture in newly diagnosed patients has been investigated in great detail, intra-tumor heterogeneity in relapsed/refractory (RR) MM is poorly characterized. Recent technological and computational advances provide the opportunity to systematically analyze tumor samples at single-cell (sc) level with high accuracy and througput. Here, we present a pilot study for an integrative analysis of sc Assay for Transposase-Accessible Chromatin with high-throughput sequencing (scATAC-seq) and scRNA-seq with the aim to comprehensively study the regulatory landscape, gene expression, and evolution of individual subclones in RRMM patients. Methods: We have included 20 RRMM patients with longitudinally collected paired BM samples. scATAC- and scRNA-seq data were generated using the 10X Genomics platform. Pre-processing of the sc-seq data was performed with the CellRanger software (reference genome GRCh38). For downstream analyses the R-packages Seurat and Signac (Satija Lab) as well as Cicero (Trapnell Lab) were used. For all patients bulk whole genome sequencing (WGS) data was available, which we used for confirmatory studies of intra-tumor heterogeneity. Results: A comprehensive study at the sc level requires extensive quality controls (QC). All scATAC-seq files passed the QC, including the detected number of cells, number of fragments in peaks or the ratio of mononucleosomal to nucleosome-free fragments. Yet, unsupervised clustering of the differentially accessible regions resulted in two main clusters, strongly associated with sample processing time. Delay of sample processing by 1-2 days, e.g. due to shipment from participating centers, resulted in global change of chromatin accessibility with more than 10,000 regions showing differences compared to directly processed samples. The corresponding scRNA-seq files also consistently failed QC, including detectable genes per cell and the percentage of mitochondrial RNA. We excluded these samples from the study. Analysing scATAC-seq data, we observed distinct clusters before and after treatment of RRMM, indicating clonal adaptation or selection in all samples. Treatment with carfilzomib resulted in highly increased co-accessibility and >100 genes were differentially accessible upon treatment. These genes are related to the activation of immune cells (including T-, and B-cells), cell-cell adhesion, apoptosis and signaling pathways (e.g. NFκB) and include several chaperone proteins (e.g. HSPH1) which were upregulated in the scRNA-seq data upon proteasome inhibition. The power of our comprehensive approach for detection of individual subclones and their evolution is exemplarily illustrated in a patient who was treated with a MEK inhibitor and achieved complete remission. This patient showed two main clusters in the scATAC-seq data before treatment, suggesting presence of two subclones. Using copy number profiles based on WGS and scRNA-seq data and performing a trajectory analysis based on scATAC-seq data, we could confirm two different subclones. At relapse, a seemingly independent dominant clone emerged. Upon comprehensive integration of the datasets, one of the initial subclones could be identified as the precursor of this dominant clone. We observed increased accessibility for 108 regions (e.g. JUND, HSPA5, EGR1, FOSB, ETS1, FOXP2) upon MEK inhibition. The most significant differentially accessible region in this clone and its precursor included the gene coding for krüppel-like factor 2 (KLF2). scRNA-seq data showed overexpression of KLF2 in the MEK-inhibitor resistant clone, confirming KLF2 scATAC-seq data. KLF2 has been reported to play an essential role together with KDM3A and IRF1 for MM cell survival and adhesion to stromal cells in the BM. Conclusions: Our data strongly suggest to use only immediately processed samples for single cell technologies. Integrating scATAC- and scRNA-seq together with bulk WGS data showed that detection of individual clones and longitudinal changes in the activity of cis-regulatory regions and gene expression is feasible and informative in RRMM. Disclosures Goldschmidt: John-Hopkins University: Research Funding; Novartis: Membership on an entity's Board of Directors or advisory committees, Research Funding; John-Hopkins University: Research Funding; Bristol-Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Mundipharma: Research Funding; Takeda: Membership on an entity's Board of Directors or advisory committees, Research Funding; MSD: Research Funding; Molecular Partners: Research Funding; Dietmar-Hopp-Stiftung: Research Funding; Janssen: Consultancy, Research Funding; Chugai: Honoraria, Research Funding; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Sanofi: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Amgen: Consultancy, Research Funding; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Adaptive Biotechnology: Membership on an entity's Board of Directors or advisory committees.

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IKZF3 Overexpression Phenocopies Gain-of-Function Mutation in Chronic Lymphocytic Leukemia

Blood ◽

10.1182/blood-2020-137085 ◽

2020 ◽

Vol 136 (Supplement 1) ◽

pp. 9-9

Author(s):

Shanye Yin ◽

Gregory Lazarian ◽

Elisa Ten Hacken ◽

Tomasz Sewastianik ◽

Satyen Gohil ◽

...

Keyword(s):

Gene Expression ◽

Chronic Lymphocytic Leukemia ◽

Dna Binding ◽

B Cell ◽

Board Of Directors ◽

Research Funding ◽

Lymphocytic Leukemia ◽

Advisory Committees ◽

Bcr Signaling ◽

Experimental Group

A hotspot mutation within the DNA-binding domain of IKZF3 (IKZF3-L162R) has been identified as a putative driver in chronic lymphocytic leukemia (CLL); however, its functional effects are unknown. We recently confirmed its role as a CLL driver in a B cell-restricted conditional knock-in model. IKZF3 mutation altered mature B cell development and signaling capacity, and induced CLL-like disease in elderly mice (~40% penetrance). Moreover, we found IKZF3-L162R acts as a gain-of-function mutation, altering DNA binding specificity and target selection of IKZF3, and resulting in overexpression of multiple B-cell receptor (BCR) genes. Consistent with the murine data, RNA-sequencing analysis showed that human CLL cells with mut-IKZF3 [n=4] have an enhanced signature of BCR-signaling gene expression compared to WT-IKZF3 [n=6, all IGHV unmutated] (p<0.001), and also exhibited general upregulation of key BCR-signaling regulators. These results confirm the role of IKZF3 as a master regulator of BCR-signaling gene expression, with the mutation contributing to overexpression of these genes. While mutation in IKZF3 has a clear functional impact on a cardinal CLL-associated pathway, such as BCR signaling, we note that this driver occurs only at low frequency in patients (~3%). Because somatic mutation represents but one mechanism by which a driver can alter a cellular pathway, we examined whether aberrant expression of IKZF3 could also yield differences in BCR-signaling gene expression. We have observed expression of the IKZF3 gene to be variably dysregulated amongst CLL patients through re-analysis of transcriptomic data from two independent cohorts of human CLL (DFCI, Landau et al., 2014; ICGC, Ferreira et al., 2014). We thus examined IKZF3 expression and BCR-signaling gene expression, or the 'BCR score' (calculated as the mean expression of 75 BCR signaling-associate genes) in those cohorts (DFCI cohort, n=107; ICGC cohort, n=274). Strikingly, CLL cells with higher IKZF3 expression (defined as greater than median expression) had higher BCR scores than those with lower IKZF3 expression (<median) (p=0.0015 and p<0.0001, respectively). These findings were consistent with the notion that IKZF3 may act as a broad regulator of BCR signaling genes, and that IKZF3 overexpression, like IKZF3 mutation, may provide fitness advantage. In support of this notion, our re-analysis of a gene expression dataset of 107 CLL samples (Herold Leukemia 2011) revealed that higher IKZF3 expression associated with poorer prognosis and worse overall survival (P=0.035). We previously reported that CLL cells with IKZF3 mutation appeared to increase in cancer cell fraction (CCF) with resistance to fludarabine-based chemotherapy (Landau Nature 2015). Instances of increase in mut-IKZF3 CCF upon treatment with the BCR-signaling inhibitor ibrutinib have been reported (Ahn ASH 2019). These studies together suggest an association of IKZF3 mutation with increased cellular survival following either chemotherapy or targeted treatment. To examine whether higher expression of IKZF3 was associated with altered sensitivity to ibrutinib, we performed scRNA-seq analysis (10x Genomics) of two previously treatment-naïve patients undergoing ibrutinib therapy (paired samples, baseline vs. Day 220). We analyzed an average of 11,080 cells per patient (2000 genes/cell). Of note, following ibrutinib treatment, remaining CLL cells expressed higher levels of IKZF3 transcript compared to pretreatment baseline (both p<0.0001), whereas no such change was observed in matched T cells (n ranging between 62 to 652 per experimental group, p>0.05), suggesting that cells with high expression of IKZF3 were selected by ibrutinib treatment. Moreover, we showed that ibrutinib treatment resulted in consistent upregulation of BCR-signaling genes (e.g., CD79B, LYN, GRB2, FOS, RAC1, PRKCB and NFKBIA) (n ranging between 362 to 1374 per experimental group, all p<0.0001), which were likewise activated by mutant IKZF3. Altogether, these data imply that IKZF3 mutation or overexpression may influence upregulation of BCR-signaling genes and enhance cellular fitness even during treatment with BCR-signaling inhibitors. We highlight our observation that IKZF3 mutation appears to be phenocopied by elevated IKZF3 expression, and suggest that alterations in mRNA or protein level that mimic genetic mutations could be widespread in human cancers. Disclosures Kipps: Pharmacyclics/ AbbVie, Breast Cancer Research Foundation, MD Anderson Cancer Center, Oncternal Therapeutics, Inc., Specialized Center of Research (SCOR) - The Leukemia and Lymphoma Society (LLS), California Institute for Regenerative Medicine (CIRM): Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Celgene: Honoraria, Research Funding; Gilead: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Genentech/Roche: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; VelosBio: Research Funding; Oncternal Therapeutics, Inc.: Other: Cirmtuzumab was developed by Thomas J. Kipps in the Thomas J. Kipps laboratory and licensed by the University of California to Oncternal Therapeutics, Inc., which provided stock options and research funding to the Thomas J. Kipps laboratory, Research Funding; Ascerta/AstraZeneca, Celgene, Genentech/F. Hoffmann-La Roche, Gilead, Janssen, Loxo Oncology, Octernal Therapeutics, Pharmacyclics/AbbVie, TG Therapeutics, VelosBio, and Verastem: Membership on an entity's Board of Directors or advisory committees. Wu:BionTech: Current equity holder in publicly-traded company; Pharmacyclics: Research Funding.

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

Blood ◽

10.1182/blood.v116.21.1923.1923 ◽

2010 ◽

Vol 116 (21) ◽

pp. 1923-1923

Author(s):

Jonathan J Keats ◽

Esteban Braggio ◽

Scott Van Wier ◽

Patrick Blackburn ◽

Angela Baker ◽

...

Keyword(s):

Gene Expression ◽

Multiple Myeloma ◽

Board Of Directors ◽

Research Funding ◽

Cell Leukemia ◽

Advisory Committees ◽

Tumor Mass ◽

Time Points ◽

Tumor Genome ◽

Time Point

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

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Promoter-Wide Transcriptional Deregulation In Waldenstrom Macroglobulinemia

Blood ◽

10.1182/blood.v116.21.3620.3620 ◽

2010 ◽

Vol 116 (21) ◽

pp. 3620-3620

Author(s):

Yang Liu ◽

Min Ni ◽

Aldo M. Roccaro ◽

Xavier Leleu ◽

Yong Zhang ◽

...

Keyword(s):

Gene Expression ◽

Bone Marrow ◽

Board Of Directors ◽

Binding Sites ◽

Research Funding ◽

Enrichment Analysis ◽

Promoter Regions ◽

Advisory Committees ◽

Pol Ii ◽

Normal Controls

Abstract Abstract 3620 Introduction: Waldenstrom macroglobulinemia (WM) is a rare indolent non-Hodgkin lymphoma, characterized by bone marrow infiltration of clonal lymphoplasmacytic cells. Despite recent advances in understanding the pathogenesis of this disease, the molecular basis of WM etiology has not been clearly defined. We therefore performed genome-wide analysis of RNA polymerase II (pol II) binding sites and gene expression profiling in primary WM cells in order to comprehensively define the aberrant transcriptional regulation and related genes in WM. Methods: Primary CD19+ bone marrow derived WM cells and normal primary bone marrow were used. Genomic DNA was extracted using genome isolation kit (QIAGEN) after cross linking. All the DNA samples were sent for Chip assay and human promoter 1.0R array (Genepathway Inc.) which comprised of over 4.6 million probes tiled through over 25.500 human promoter regions. Each promoter region covers approximately 7.6kb upstream through 2.45kb downstream of the transcription start sites. For over 1,300 cancer associated genes, coverage of promoter regions was expanded to additional genomic content; for selected genes total coverage spans from 10kb upstream through 2.45kb downstream of transcription start sites. The published gene expression datasets (GDS2643) which included 10 CD19+ B cell from bone marrow of 10 WM patients and 8 normal controls was analyzed by d-chip software and normalized to normal control. The motif analysis was performed using Cistrome online tools from the Dana Farber Cancer Institute. The gene sets enrichment analysis (GSEA) was performed using GSEA online software from Broad institute. Results: A total of 13,546 high-confidence pol II sites were identified in WM samples and share a small percentage of overlap (11.5%) with the binding sites identified in normal controls. Combining the expression microarray data of WM patient samples and normal controls, we demonstrated a significant correlation between high levels of gene expression and enriched promoter binding of pol II. Notably, we also observed that the WM-unique pol II binding sites are localized in the promoters of 5,556 genes which are involved in important signaling pathways, such as Jak/STAT and MAPK pathways by applying gene set enrichment analysis (GSEA). Interestingly, we found that STAT, FOXO and IRF family binding sites motifs were enriched in the pol II-bound promoter region of IL-6 which plays a crucial role in cell proliferation and survival of WM cells. Moreover, the CpG island associated c-fos promoter was enriched for Pol II binding as compared to the normal control. Conclusion: The presence of increased Pol II binding and the identification of transcription factor motifs in the promoters of key oncogenes may lead to a better understanding of WM. Our findings suggest that altered transcriptional regulation may play an important role in the pathogenesis of WM. In addition, this study will provide novel insights into the molecular mechanism of WM etiology, and may lead to discovery of novel diagnostic molecular biomarkers and therapeutic targets for WM. Disclosures: Leleu: Celgene: Consultancy, Research Funding; Janssen Cilag: Consultancy, Research Funding; Leo Pharma: Consultancy; Amgen: Consultancy; Chugai: Research Funding; Roche: Consultancy, Research Funding; Novartis: Consultancy, Research Funding. Ghobrial:Celgene: Membership on an entity's Board of Directors or advisory committees; Millennium: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees.

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