Salama, Mohamed E.

Abstract Myelofibrosis (MF) is a clonal stem cell neoplasm characterized by abnormal JAK-STAT signaling, chronic inflammation, cytopenias, and risk of transformation to acute leukemia. Despite improvements in the therapeutic options for patients with MF, allogeneic hematopoietic stem cell transplantation remains the only curative treatment. We previously demonstrated multiple immunosuppressive mechanisms in patients with MF, including increased expression of programmed cell death protein 1 (PD-1) on T cells compared with healthy controls. Therefore, we conducted a multicenter, open-label, phase 2, single-arm study of pembrolizumab in patients with Dynamic International Prognostic Scoring System category of intermediate-2 or greater primary, post-essential thrombocythemia or post-polycythemia vera myelofibrosis that were ineligible for or were previously treated with ruxolitinib. The study followed a Simon 2-stage design and enrolled a total of 10 patients, 5 of whom had JAK2V617mutation, 2 had CALR mutation, and 6 had additional mutations. Most patients were previously treated with ruxolitinib. Pembrolizumab treatment was well tolerated, but there were no objective clinical responses, so the study closed after the first stage was completed. However, immune profiling by flow cytometry, T-cell receptor sequencing, and plasma proteomics demonstrated changes in the immune milieu of patients, which suggested improved T-cell responses that can potentially favor antitumor immunity. The fact that these changes were not reflected in a clinical response strongly suggests that combination immunotherapeutic approaches rather than monotherapy may be necessary to reverse the multifactorial mechanisms of immune suppression in myeloproliferative neoplasms. This trial was registered at www.clinicaltrials.gov as #NCT03065400.

The accurate diagnosis of chronic myelomonocytic leukemia (CMML) and acute myeloid leukemia (AML) subtypes with monocytic differentiation relies on the proper identification and quantitation of blast cells and blast-equivalent cells, including promonocytes. This distinction can be quite challenging given the cytomorphologic and immunophenotypic similarities among the monocytic cell precursors. The aim of this study was to assess the performance of convolutional neural networks (CNN) in separating monocytes from their precursors (i.e., promonocytes and monoblasts). We collected digital images of 935 monocytic cells that were blindly reviewed by five experienced morphologists and assigned into three subtypes: monocyte, promonocyte, and blast. The consensus between reviewers was considered as a ground truth reference label for each cell. In order to assess the performance of CNN models, we divided our data into training (70%), validation (10%), and test (20%) datasets, as well as applied fivefold cross validation. The CNN models did not perform well for predicting three monocytic subtypes, but their performance was significantly improved for two subtypes (monocyte vs. promonocytes + blasts). Our findings (1) support the concept that morphologic distinction between monocytic cells of various differentiation level is difficult; (2) suggest that combining blasts and promonocytes into a single category is desirable for improved accuracy; and (3) show that CNN models can reach accuracy comparable to human reviewers (0.78 ± 0.10 vs. 0.86 ± 0.05). As far as we know, this is the first study to separate monocytes from their precursors using CNN.

Background: Clonal cytopenias of Undetermined Significance (CCUS) have a higher risk of progression to myeloid neoplasm (MN) compared to idiopathic cytopenias of undetermined significance (ICUS) (Malcovati et al., Blood, 2017). The implementation of flow cytometric (FC) immune-phenotyping and next generation sequencing (NGS) in clinical practice has improved the diagnosis of these entities but the clinical significance and interaction of these abnormal results are still unknown. In this study we investigated predictive factors that play role in survival and progression to MN in patients with ICUS/CCUS. Methods: Patients (Pts) who had undergone evaluation for unexplained cytopenia and had undergone FC and bone marrow morphological assessment between 3/2015-3/2020 at Mayo Clinic Rochester were included. Pts were excluded if a malignant hematological disorder was diagnosed prior to the time of FC. FC included evaluation of the following parameters: Abnormal expression of HLA-DR/CD13, CD2, CD7, CD45, and CD56 on blasts; and abnormal CD13/CD16 expression and side scatter on granulocytic cells. NGS panel up to 2018 included 34 genes, ASXL1, BCOR, BRAF, CALR, CBL, CEBPA, CSF3R, DNMT3A, ETV6, EZH2, FLT3, GATA1, GATA2, IDH1, IDH2, JAK2, KIT, KRAS, MPL, MYD88, NOTCH1, NPM1, NRAS, PHF6, PTPN11, RUNX1, SETBP1, SF3B1, TERT, TET2, TP53, U2AF1, WT1, and ZRSR2; in 2018, BRAF was omitted and 12 genes were added, ANRD26, DDX41, ELANE, ETNK1, KDM6A, MYD88, NOTCH1, RAD21, SH2B3, SRP72, SMC3, and STAG2. Results: Characteristics: Of 490 consecutive pts, 238 (median age 69 years (range 19-92), 66% males) met our inclusion criteria as ICUS. 86 (36%) pts had CCUS (abnormal cytogenetics and/or tested positive for pathogenic mutations on NGS). After a median follow-up of 28 months (95% CI: 20 to 31 months), 21 (25%) patients developed MN and 23 (27%) died during follow-up. Comparing ICUS vs CCUS: upon comparing CCUS pts to ICUS, several factors were found to be significantly different: CCUS pts were older (p= .02); majority male (p= .04), had more abnormal HLA-DR/CD13 (p <.0001), more side-scattered light by FC (p <.0001), more pancytopenia on follow up (p= .02) and more morphologic atypia (<.0001). Overall survival (OS) outcomes in CCUS: Several covariates were significant in univariate models, and model selection was used to generate a risk score based on abnormal CD7, abnormal CD13/CD16, abnormal HLA-DR/CD13, splenomegaly and history of prior chemotherapy or radiotherapy (range: 0 - 4; HR=2.58, [95 CI: 1.69 - 3.94], p<.0001). Risk scores were grouped as low risk (score=0), intermediate risk (score=1), and high risk (score=2+), with estimated 2-yr-OS of 95%, 84%, 40%, respectively (Figure 1). An extended risk score model including NGS factors added ASXL1 and IDH1 mutation status to the previous model (range: 0 - 6; HR=2.72, [95 CI 1.82 - 4.06], p<0.0001). MN-free survival (MNFS) in CCUS: 37 pts either progressed to MN and/or died with a median follow up time for MNFS of 22.4 months. Similar for OS, model selection approaches yielded a composite risk score: splenomegaly, BCOR mutation status, mutation in RAS signaling pathway, abnormal expression of flow markers CD13/CD16, HLA-DR/CD13 or CD7 (HR=3.23, [95 CI: 1.90 - 5.49], p=<0.0001). Risk scores were grouped as low risk (score=0), intermediate risk (score=1), and high risk (score ≥ 2), with estimated 1-yr MNFS of 84%, 74%, and 31%, respectively (Figure 2). Conclusion: CCUS has unique features compared to ICUS. Several factors, including clinical characteristics, immune-phenotyping by FC, and somatic mutations have important impact on risk of progression to MN and on overall survival. Our findings serve as proof-of-concept that such integrated models could help identify CCUS patients at higher risks for progression to MN or death. They can guide treatment accordingly and should be evaluated further. Disclosures Shah: Dren Bio: Consultancy.

Myelofibrosis (MF) is characterized by progressive bone marrow (BM) fibrosis resulting from aberrant megakaryopoeisis and expression of pro-inflammatory cytokines. These two processes, heavily influenced by bromodomain and extraterminal domain (BET)-mediated gene regulation, lead to myeloproliferation and cytopenias. CPI-0610 is a potent, selective and unique BET inhibitor under investigation in MF patients as monotherapy or in combination with ruxolitinib in the MANIFEST trial (NCT02158858). In ruxolitinib naïve and experienced MF patients, treatment with CPI-0610 monotherapy or in combination with ruxolitinib not only reduced spleen volume and symptoms, but also improved hemoglobin levels and overcame transfusion dependency in a subset of patients. To evaluate the effects of CPI-0610 on BM biology, correlative analyses were conducted using patient samples collected from the MANIFEST trial. Pre-treatment and post-treatment BM biopsy samples were available from 78 evaluable patients, with reticulin staining conducted and evaluated by local pathologists available for 34 pre-treatment and 24-week post-treatment pairs of BM biopsy samples. Improvement in reticulin staining of at least one grade was observed in 32% (11/34) of patients. Central pathology review of reticulin staining is ongoing and will be presented. Additional bone marrow biopsy pairs collected pre-treatment and 24-week post-treatment for exploratory histopathological assessments were available from a total of 23 unselected MANIFEST patients at the time of the abstract submission. To assess changes in erythroid and megakaryocytic lineages, H&E and immunohistochemistry (IHC) staining of CD71 and CD61 were conducted centrally. Semi-quantitative analysis revealed an overt increase in erythroid lineage formation in 61% (14/23) of patients. Patients with CD71 improvement in BM IHC generally showed a greater increase in median hemoglobin levels than those without improvement. Tight clusters of megakaryocytes (MK), characteristic in MF BM, were observed at baseline in all cases and were decreased/absent after treatment in 52% (12/23) patients. In addition, decreased MK number to <5/high powered field was also observed in 39% (9/23) of patients. Overall improvement in MK histotopography was observed in 65% of patients (15/23). Central histopathology review with IHC staining, including reticulin staining, will be conducted on additional samples and will be available for presentation at the conference. To further dissect the underlying mechanism of these relative improvements in bone marrow composition and histotopography induced by CPI-0610, CD34+ hematopoietic stem cells were isolated from peripheral blood collected from multiple MF patients at baseline to evaluate the impact of CPI-0610 on MK and erythroid differentiation in vitro. When CD34+ cells from MF patients were treated with CPI-0610 in erythroid differentiation conditions in the presence of SCF, IL3 and EPO, a dose-dependent increase in more mature erythroid cell populations was observed. However, under the same conditions, ruxolitinib suppressed erythroid differentiation, which is consistent with ruxolitinib inhibition of EPO signaling and the anemia caused by ruxolitinib treatment in MF patients. Suppressive effects of ruxolitinib on erythroid differentiation were partially rescued by CPI-0610 in a dose-dependent manner. CPI-0610 treatment of CD34+ cells from MF patients in MK differentiating conditions in the presence of SCF, IL6, IL9 and TPO resulted in a dose-dependent decrease in proliferation of CD34+ cells and an increase in the ratio of late MK (CD34-/CD41a+/CD42b+) and early MK (CD34+/CD41a+/CD42b+). This CPI-0610-induced dose-dependent maturation of aberrant immature MK cells may play a role in reducing MF disease manifestations. Molecular studies to further our understanding of the underlying mechanisms of CPI-0610 treatment are ongoing. Taken together, these paired BM biopsy and in vitro myeloid maturation results demonstrated an effect of CPI-0610 in promoting erythroid and MK differentiation. These results may partially explain CPI-0610's clinical effects in MF patients, including rising hemoglobin, reduced transfusion dependency and reduction in spleen volume and symptoms. Disclosures Mertz: Constellation Pharmaceuticals: Current Employment, Current equity holder in publicly-traded company. Keller:Constellation Pharmaceuticals: Current Employment, Current equity holder in publicly-traded company. Meyer:Constellation Pharmaceuticals: Current Employment, Current equity holder in publicly-traded company. Zavidij:Constellation Pharmaceuticals: Current Employment, Current equity holder in publicly-traded company. Cui:Constellation Pharmaceuticals: Current Employment, Current equity holder in publicly-traded company. Verstovsek:Roche: Research Funding; Gilead: Research Funding; Promedior: Research Funding; Sierra Oncology: Consultancy, Research Funding; Protagonist Therapeutics: Research Funding; AstraZeneca: Research Funding; Genentech: Research Funding; Novartis: Consultancy, Research Funding; Blueprint Medicines Corp: Research Funding; Celgene: Consultancy, Research Funding; CTI Biopharma Corp: Research Funding; PharmaEssentia: Research Funding; Incyte Corporation: Consultancy, Research Funding; ItalPharma: Research Funding; NS Pharma: Research Funding. Gupta:Sierra Oncology: Consultancy, Membership on an entity's Board of Directors or advisory committees; Bristol MyersSquibb: Honoraria, Membership on an entity's Board of Directors or advisory committees; Pfizer: Consultancy; Incyte: Honoraria, Research Funding; Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Talpaz:IMAGO: Consultancy; Takeda: Research Funding; BMS: Membership on an entity's Board of Directors or advisory committees; Constellation Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees; Novartis: Research Funding. Harrison:Promedior: Honoraria; AOP Orphan Pharmaceuticals: Honoraria; Roche: Honoraria; Incyte Corporation: Speakers Bureau; Gilead Sciences: Honoraria, Speakers Bureau; CTI Biopharma Corp: Honoraria, Speakers Bureau; Shire: Honoraria, Speakers Bureau; Janssen: Speakers Bureau; Novartis: Honoraria, Research Funding, Speakers Bureau; Celgene: Honoraria, Research Funding, Speakers Bureau; Sierra Oncology: Honoraria. Mead:CTI: Consultancy; Gilead: Consultancy; Novartis: Consultancy, Honoraria, Other: travel, accommodations, expenses, Research Funding, Speakers Bureau; Celgene/BMS: Consultancy, Honoraria, Other: travel, accommodations, expenses, Research Funding; Abbvie: Consultancy. Mesa:Novartis: Consultancy; CTI BioPharma: Research Funding; Bristol Myers Squibb: Research Funding; Sierra Oncology: Consultancy; Genentech: Research Funding; Samus Therapeutics: Research Funding; LaJolla Pharmaceutical Company: Consultancy; Incyte: Research Funding; Promedior: Research Funding; AbbVie: Research Funding. Mascarenhas:Celgene, Prelude, Galecto, Promedior, Geron, Constellation, and Incyte: Consultancy; Incyte, Kartos, Roche, Promedior, Merck, Merus, Arog, CTI Biopharma, Janssen, and PharmaEssentia: Other: Research funding (institution). Senderowicz:Constellation Pharmaceuticals: Consultancy, Current equity holder in publicly-traded company, Ended employment in the past 24 months; Puma Biotechnology: Membership on an entity's Board of Directors or advisory committees. Colak:Constellation Pharmaceuticals: Current Employment, Current equity holder in publicly-traded company. Shao:Constellation Pharmaceuticals: Current Employment, Current equity holder in publicly-traded company. Luptakova:Constellation Pharmaceuticals: Current Employment, Current equity holder in publicly-traded company. Humphrey:Constellation Pharmaceuticals: Current Employment, Current equity holder in publicly-traded company. Wang:Constellation Pharmaceuticals: Current Employment, Current equity holder in publicly-traded company. Trojer:Constellation Pharmaceuticals: Current Employment, Current equity holder in publicly-traded company.

Introduction: Elevated pro-inflammatory cytokines are a hallmark feature of myeloproliferative neoplasms (MPNs). The pro-inflammatory cytokine interleukin-8 (IL8) is increased in patients with myelofibrosis (MF) and correlates with adverse outcome, including overall survival. Previously, the Levine/Fang labs identified increased IL8 secretion from individual CD34+ stem cells in a subset of MF patients. The role of IL8 and its cognate receptors CXCR1/2 in MF pathogenesis has not been delineated. Methods: Single-cell cytokine assays were performed on isolated CD34+ cells from 60 clinically annotated MPN patients (20 MF, 20 PV, 20 ET) using a previously described micro-chip platform (Kleppe et al, Can Disc 2013). 10 healthy donors (CD34+ cells from hip replacements) were used as controls. Integrated RNA-Seq and Assay for Transposase-Accessible Chromatin followed by next-generation sequencing (ATAC-Seq) was performed on CD34+ cells from MPN patients with and without expanded IL8 secreting clones for gene expression/chromatin accessibility analysis. To model the role of IL8-CXCR2 on fibrosis in vivo, the human MPLW515L transplant model (hMPLW515L) of MF was used. Specifically, wild-type (WT) murine bone marrow (Creneg-Cxcr2f/f; Cxcr2WT) or marrow lacking the CXCR2 receptor (VavCre-Cxcr2f/f; Cxcr2KO)were retrovirally infected with MSCV-hMPLW515L-IRES-GFP and transplanted into lethally irradiated WT recipient mice and monitored for disease. Blood counts, chimerism, and flow cytometry were assayed. Moribund mice were sacrificed and assayed for grade reticulin fibrosis and overall survival. Results: Single-cell cytokine assays confirmed an increased proportion of IL8-secreting CD34+ cells in MF patients (40%) in comparison to other MPN sub-types (10% PV/0% ET) (Figure 1A). MF patients with expanded IL8 secreting clones (defined as >50% of total CD34+ cells) had increased leukocytosis (p<0.0001), larger spleen sizes (p=0.0004), greater prevalence of constitutional symptoms (p=0.0084), and higher-grade reticulin fibrosis in marrow (Figure 1B) in comparison to MF patients without prevalent IL8 clones. IHC confirmed increased IL8 expression in marrow biopsies from 8/15 MF patients in comparison to 0/4 normal controls (Figure 1C), and high IL8 expression was also observed in MF splenic megakaryocytes (MKs) as well as in splenic stromal/endothelial cells not seen in normal spleen (Figure 1D). Integrated RNA-Seq/ATAC-Seq analysis of IL8-high MF patients confirmed up-regulation of IL8-CXCR2 signaling and enrichment in pro-inflammatory pathways (i.e TNFa, NFkB, etc) by GSEA, as well as increased expression/accessibility of pro-inflammatory genes S100A8 and S100A9-previously implicated in fibrosis development. Flow analysis of IL8-high MF CD34+ cells revealed enhanced surface expression of CXCR2 and its analog CXCR1, such that MF was characterized by increased IL8 ligand and receptor expression (Figure 1E) and coincided with enhanced NFkB pathway activity (Figure 1F). Consistent with this, colony forming assays of cultured MF CD34+ cells revealed enhanced colony output when cultured with IL8 compared to WT CD34+ cells-an effect ameliorated by co-treatment with the CXCR1/2 antagonist Reparixin (Figure 1G). In vivo, hMPLW515L adoptive transplant with Cxcr2KO hematopoietic donor cells demonstrated improved leukocytosis, thrombocytosis (Figure 2A) and splenomegaly in comparison to Cxcr2WT hMPLW515L recipient mice. Pathologic analysis revealed a reduction in reticulin fibrosis in bone marrow (Figure 2B) and spleen, translating into an improvement in overall survival (Figure 2C). Notably, a significant reduction in dysplastic MKs-a hallmark feature of MF-was also observed in Cxcr2KO hMPLW515L mice (Figure 2D) supporting a role for CXCR2 signaling in MK proliferation. Conclusion: IL8 secreting clones are associated with increased symptom severity and fibrosis grade in MF. Gene expression of MF CD34+ IL8 secreting clones shows up-regulation of inflammatory genes S100A8/A9, implicated in myofibroblast proliferation. Cxcr2 KO abrogates fibrosis formation and prolongs survival in the hMPLW515L model, and CXCR1/2 inhibition impairs colony forming capacity of MF CD34+ cells. These data suggest pharmacologic inhibition of this pathway should be investigated as potential therapy in MF and in PV/ET patients at high risk of fibrotic transformation. Disclosures Fan: IsoPlexis: Current Employment, Current equity holder in private company; Singleron Biotechnologies: Current Employment, Current equity holder in private company. Levine:Morphosys: Consultancy; Prelude Therapeutics: Research Funding; Qiagen: Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; Gilead: Honoraria; Loxo: Current equity holder in private company, Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy; Amgen: Honoraria; Astellas: Consultancy; Imago: Current equity holder in private company, Membership on an entity's Board of Directors or advisory committees; C4 Therapeutics: Current equity holder in private company, Membership on an entity's Board of Directors or advisory committees; Isoplexis: Current equity holder in private company, Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy, Honoraria, Research Funding; Roche: Consultancy, Honoraria, Research Funding; Lilly: Consultancy, Honoraria; Janssen: Consultancy. Hoffman:Protagonist: Consultancy; Abbvie: Membership on an entity's Board of Directors or advisory committees; Dompe: Research Funding; Novartis: Membership on an entity's Board of Directors or advisory committees; Forbius: Consultancy.

Background Clonal cytopenia of undetermined significance (CCUS) is a newly described entity with a high probability to progress into myeloid disorders upon follow-up (Malcovati et al, Blood 2017). Little data is known on how to effectively treat patients with CCUS. We hereby describe a single institution experience in managing symptomatic CCUS patients. Methods Patients who had CCUS and underwent active treatment were identified after receiving IRB approval. CCUS diagnosis was rendered if patients had non-diagnostic bone marrow biopsy evaluation combined with evidence of pathogenic myeloid somatic mutation using our institution next generation sequencing (NGS) panel (OncoHeme, Mayo Clinic). "Symptomatic patients" is determined by patients who need therapy beyond blood transfusion. Treatment type is based on physicians' choice. Clinical and lab results were collected. Response and progression were graded based on the MDS IWG 2006 criteria. The date of treatment initiation was used for overall survival (OS) and progression (either to myeloid neoplasm or worsening cytopenias) free survival (PFS) calculation. Stata 14.1(StatCorp) was used for data analysis. Results 1) Cohort characteristics: Between 2015 and 2020, 24 patients met inclusion criteria with median age of 72 years (range: 24-87). Twenty (83%) were men. 15 (63%) were white, 1 (4%) African American, 1 (4%) Native American and 7 unknown (33%). Eighty percent had ECOG PS≤1. Four (17%) patients had prior other hematology disorders and 3 (13%) had solid tumor. Two (8%) patients had previous radiation therapy, 2 (8%) received chemotherapy and 1 (4%) received allogeneic stem cell transplantation. At the time of treatment, the median of hemoglobin was 8.9 (range 6.8-13.7) g/dL, white blood cell 2.9 (range 1.4-12.3) *109/L, and platelet 76 (range 8-407) *109/L. Red blood cell (RBC) and platelet transfusion dependency rate were 54% and 29%, respectively. We identified 23 different mutations. Most common mutations occurred in SRSF2 (N=5, 21%), TET2 (N=5, 21%), U2AF1 (N=5, 21%), and TP53 (N=4, 17%). Ten (42%) patients had 1 mutation, and 14 (58%) had ≥2 mutations. Treatment included hypomethylating agents (HMA) (N=10, 42%), growth factors (N=11, 46%), steroid (N=4, 17%), testosterone (N=2, 8%), cyclosporine (N=2, 8%), rituximab (N=1, 4%), immunoglobulin (N=1, 4%), vitamin B12 and iron (N=1, 4%). Seven (29%) patients received ≥2 treatments. Median follow up duration was 17.5 months (range 8.9-26.1). Median time from the diagnosis to treatment was 2.1 months (range 0-26.8). 2) Molecular correlation with response The overall response rate (RR) was 50% (hematological or symptomatic improvement). Most responders (67%) were treated with HMA (p=0.013). HMA treatment effect was not significantly associated with DNA methylation genes (DNMT3A, IDH1, IDH2 and TET2, all p>0.05). The RR was 100% for the three patients with IDH1 mutation (treated with HMA, steroid and erythropoietin stimulating agent (ESA), respectively). The RR was 100% for the 3 patients with ZRSR2 mutation (2 HMA, 1 testosterone). The RR was 0% for 3 patients with SF3B1 mutation (1 testosterone and ESA, 1 vitamin B12 and iron, and 1 HMA). The number of mutations had no impact on RR (p=0.41). Table demonstrates the RR for each treatment. 3) Survival and progression outcome At the last day of follow up, RBC and platelet transfusion dependency rate were 38% and 25%, respectively. The median PFS was 16.9 months (95% CI: 7.5-65.3). Six patients (25%) progressed to myeloid malignancy with 4 myelodysplastic syndrome (MDS) and 2 acute myeloid leukemia (AML). Five patients progressed with worsening cytopenias. Among the 4 MDS patients, they had SF3B1, TET2, and ASXL1 mutations at the diagnosis of CCUS. Within the 2 AML pts, 1 had RUNX1 mutation, 1 had BCOR, DNMT3A, PHF6, RUNX1, SF3B1, STAG2, and TET2 mutations at the diagnosis of CCUS. The median OS was not reached with an estimated 2 year OS 77%. Three (13%) patients progressed with cytopenia and died. Their NGS at CCUS diagnosis showed ASXL1, TP53 and U2AF1 mutations, respectively. Conclusion Patients with CCUS responded to available treatments used for myeloid diseases. HMA were effective in this cohort. Mutation profile may have an impact on treatment response. Studies of larger cohorts are needed to validate our findings. Additionally, development of response and progression criteria would be helpful for such patients for reporting treatment outcomes. Disclosures Shah: Dren Bio: Consultancy.

Preclinical Rationale: Myelofibrosis (MF) is a chronic myeloproliferative neoplasm for which there are limited therapies. TGFβ plays a pivotal role in the pathobiology of MF by not only promoting bone marrow fibrosis (BMF) and collagen deposition, but also by enhancing the dormancy of normal but not MF hematopoietic stem cells (HSCs). TGFβ has also previously been reported to inhibit normal megakaryocyte (MK) production (Bruno et al Blood 1998). TGFβ1 promotes the synthesis of collagen by normal human mesenchymal stromal cells (MSCs) and activates the TGFβ receptor I/SMAD pathway as well as non-canonical TGFβ pathways. We generated MKs from MF subject mononuclear cells (MNCs) and showed that they elaborated significantly greater levels of TGFβ1 than TGFβ2/3 TGFβ1 treatment reduced the numbers of hematopoietic colonies generated by normal but not MF MNCs. Treatment of MSCs with AVID200, a potent TGFβ1/3 protein trap, significantly decreased MSC proliferation, phosphorylation of SMAD2, and collagen expression. Robust expression of pSMAD2 was observed in the absence of exogenous TGFβ in normal donor or MF-MKs, Addition of AVID200 to -MKs decreased pSMAD2 without affecting total SMAD2/3, indicating that AVID200 blocks the effects of autocrine TGFβ produced by MKs and led to increased numbers of MKs. Moreover, treatment of primary MF MNCs with AVID200 led to increased numbers of progenitor cells with wild type JAK2 and a reduction of mutated colonies. AVID200 blocked TGFβ1-induced p57Kip2 expression and SMAD2 activation by MF MNCs allowing the normal progenitor cells to preferentially cycle, proliferate, and form hematopoietic colonies. Clinical Trial Design: Based on these findings, a phase 1 trial of AVID200 is ongoing in INT-2/high risk MF subjects resistant or intolerant to ruxolitinib; baseline platelet count of ≥ 25 x 109/L, and grade 2/3 BMF. Subjects received intravenous AVID200 (Lots A and B) in dose cohorts of 180 mg/m2 (A), 550 mg/m2 (A), 180 mg/m2 (B) on Day 1 of a 21 day cycle. Cohorts of 3 subjects with a target toxicity rate of 30% were enrolled to estimate the maximum tolerated dose (MTD). A modified toxicity probability interval design was used. Response was assessed by IWG/ELN criteria after 6 cycles of AVID200. Subjects attaining at least a CI or SD with a decrease in BMF by ≥1 grade, continued AVID200. Clinical Trial Results: 10 subjects were enrolled (1 withdrew before receiving treatment) and 9 were treated with AVID200 and were evaluable for DLT assessment [Table1]. Median time after ruxolitinib discontinuation was 3.5 months (0.5-12.2). No DLTs were observed. Grade 3/4 AEs (regardless of attribution) were observed in 6 (66.7%) subjects. Grade 3/4 non-hematologic AEs observed were epistaxis (1, 11.1%), extraocular muscle paresis (1, 11.1%), fatigue (1, 11.1%) and rash (1, 11.1%). Grade 3/4 hematologic AEs were anemia (3, 33.3%) and thrombocytopenia (2, 22.2%) [Table 2]. The median number of cycles received was 5.7 (range 0 - 12). 5 subjects received 6+ cycles and were evaluable. CI occurred in 2 subjects [anemia, spleen and TSS (n=1); TSS (n=1)] 1 of which is still being treated, 2 subjects had SD, 1 subject with 21% blasts prior to study treatment had progressive MPN-BP. 4 subjects failed to reach response evaluation after 6 cycles, 2 had PD due to increasing splenomegaly, 1 subject received an allogeneic transplant and 1 is still being treated [Cycle 2]. The median platelet count at baseline was 114 (range: 42-290) and 159 after cycle 6 [Figure 1]. Maximum changes in platelets from baseline was +64% [range -73%, 169%] in all subjects. 7 subjects had an increase in platelets from baseline during treatment. 2 subjects normalized their platelet count from thrombocytopenic levels. The effect of AVID200 on BMF is currently being examined. 2 subjects remain on treatment. Conclusions: AVID200 a TGFβ1/3 protein trap is well tolerated in advanced MF subjects. Clinical responses were observed at the 550 mg dose and the expansion efficacy cohorts at doses 2 and 3 are enrolling 12 additional subjects. Furthermore, AVID200 therapy improved thrombocytopenia in MF subjects which may be due to AVID200 inhibiting the effects of TGFβ1 on normal MKpoiesis. Updated subject safety and efficacy data along with correlative data will be presented. Disclosures Mascarenhas: Celgene, Prelude, Galecto, Promedior, Geron, Constellation, and Incyte: Consultancy; Incyte, Kartos, Roche, Promedior, Merck, Merus, Arog, CTI Biopharma, Janssen, and PharmaEssentia: Other: Research funding (institution). Kuykendall:Blueprint Medicines: Research Funding; BMS: Research Funding; Incyte: Research Funding; Novartis: Research Funding. Komrokji:Jazz: Honoraria, Speakers Bureau; Abbvie: Honoraria; Agios: Speakers Bureau; BMS: Honoraria, Speakers Bureau; Geron: Honoraria; Incyte: Honoraria; Acceleron: Honoraria; Novartis: Honoraria. Gerds:Gilead Sciences: Research Funding; Imago Biosciences: Research Funding; Sierra Oncology: Research Funding; Celgene: Consultancy, Research Funding; Roche/Genentech: Research Funding; CTI Biopharma: Consultancy, Research Funding; Apexx Oncology: Consultancy; AstraZeneca/MedImmune: Consultancy; Pfizer: Research Funding; Incyte Corporation: Consultancy, Research Funding. Migliaccio:Novartis: Research Funding. O'Connor-McCourt:Forbius: Current Employment. Tremblay:Forius: Current Employment. Nadler:Forbius: Consultancy; Nadler Pharma Associates: Current Employment; Symphogen: Consultancy; Iksuda Therapeutics: Consultancy; Tessa Therapeutics: Consultancy. Mesa:Celgene: Research Funding; Genetech: Research Funding; Samus: Research Funding; Promedior: Research Funding; CTI: Research Funding; LaJolla Pharma: Consultancy; Incyte: Research Funding; Sierra Onc: Consultancy; Abbvie: Research Funding; Novartis: Consultancy. Hoffman:Forbius: Consultancy; Abbvie: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees; Dompe: Research Funding; Protagonist: Consultancy.

Abstract Myeloproliferative neoplasms (MPN) that have evolved into accelerated or blast phase disease (MPN-AP/BP) have poor outcomes with limited treatment options and therefore represent an urgent unmet need. We have previously demonstrated in a multicenter, phase 1 trial conducted through the Myeloproliferative Neoplasms Research Consortium that the combination of ruxolitinib and decitabine is safe and tolerable and is associated with a favorable overall survival (OS). In this phase 2 trial, 25 patients with MPN-AP/BP were treated at the recommended phase 2 dose of ruxolitinib 25 mg twice daily for the induction cycle followed by 10 mg twice daily for subsequent cycles in combination with decitabine 20 mg/m2 for 5 consecutive days in a 28-day cycle. Nineteen patients died during the study follow-up. The median OS for all patients on study was 9.5 months (95% confidence interval, 4.3-12.0). Overall response rate (complete remission + incomplete platelet recovery + partial remission) was 11/25 (44%) and response was not associated with improved survival. We conclude that the combination of decitabine and ruxolitinib was well tolerated, demonstrated favorable OS, and represents a therapeutic option for this high-risk patient population. This trial was registered at www.clinicaltrials.gov as #NCT02076191.

AbstractObjectivesTo assess and improve the assistive role of a deep, densely connected convolutional neural network (CNN) to hematopathologists in differentiating histologic images of Burkitt lymphoma (BL) from diffuse large B-cell lymphoma (DLBCL).MethodsA total of 10,818 images from BL (n = 34) and DLBCL (n = 36) cases were used to either train or apply different CNNs. Networks differed by number of training images and pixels of images, absence of color, pixel and staining augmentation, and depth of the network, among other parameters.ResultsCases classified correctly were 17 of 18 (94%), nine with 100% of images correct by the best performing network showing a receiver operating characteristic curve analysis area under the curve 0.92 for both DLBCL and BL. The best performing CNN used all available training images, two random subcrops per image of 448 × 448 pixels, random H&E staining image augmentation, random horizontal flipping of images, random alteration of contrast, reduction on validation error plateau of 15 epochs, block size of six, batch size of 32, and depth of 22. Other networks and decreasing training images had poorer performance.ConclusionsCNNs are promising augmented human intelligence tools for differentiating a subset of BL and DLBCL cases.