ALBERT

Description: Imatinib treatment has radically changed the prognosis of patients with CML. However, around 23-32% of patients discontinue this therapy due to lack of efficacy. Second generation TKI are available, which exhibit greater potency, so there is scope to further improve the strategy of selection of the appropriate TKI in the first line setting. Measurement of PTCH1 expression at diagnosis has been proposed as a useful strategy to tailor first line therapy as patients with low PTCH1 expression showed a worse outcome. Signalling via SMO is inhibited by non-Hedgehog ligated PTCH1 in Hedgehog pathway. SMO and PTCH1/SMO expression ratio has also been related to response to imatinib. Our aim was to corroborate imatinib outcome prediction in a different cohort and compare the prognostic power of PTCH1, SMO and PTCH1/SMO. We have retrospectively studied 101 pre-treatment samples of patients who received first-line imatinib from 14 Spanish centres. Clinical data were recorded in the Spanish CML Registry (RELMC). Informed consent was signed by every patient. Predesigned assays for PTCH1, SMO and GUSB (control gene) were used in single qPCR reactions in duplicates and run in an ABI 7900. Receiver operating characteristic (ROC) curves were plotted for PTCH1, SMO and PTCH1/SMO expression ratio and the area under curve (AUC) was used to compare its capacity to predict imatinib failure free survival (IFFS). For the measurement with higher AUC a threshold was set to divide patients with high and low expression. TKI failure was defined as loss of CCyR, progression to advanced phase disease, death or change in treatment from imatinib due to lack of efficacy. Secondary endpoints were: probability of achieving

Description: Introduction Acute myeloid leukemia (AML) is a clonal disease characterized by multiple genetic anomalies. The internal tandem duplications (FLT3-ITD mutations) in the juxtamembrane domain of the receptor occur in approximately 15-35% of de novo AML . This mutation is one of the most frequent genetic alterations, and confers an increased risk of treatment failure and a reduced disease-free survival (DFS). There are scarce data regarding the possible implication of the length of the FLT3-ITD fragment in the clinical outcome . We sought to shed light on the possible prognostic relevance of the length of the FLT3-ITD fragment in AML patients. Methods Twenty five patients (n=25) diagnosed with de novo AML in Hospital Universitario 12 de Octubre between 2005-2017 were included in the study. The median follow-up was 10 months from diagnosis (range 0.5-138 months). The median age was 65 years (range 1-85 years) with 72% of female patients. Bone marrow or blood samples were analyzed by fragment length analysis in an ABI3100 sequencer in order to detect the FLT3-ITD mutation. A ROC curve was plotted to predict death for any reason. Overall survival (OS) was estimated by Kaplan-Meier curves and groups were compared by a stratified log-rank test based on allelic burden of FLT3 (≥ 0.5 vs

Description: Background: Heterozygous somatic mutations in the genes encoding RNA splicing factors SF3B1, U2AF1, SRSF2 or ZRSR2 induce aberrant splicing in cancer cells and are among the most common mutations in patients with MDS, AML or CMML. H3B-8800 is an orally available small molecule that binds to the SF3b complex and induces alternative splicing changes in cells. Because splicing factor mutant cells depend on residual wild-type function of splicing factors for survival, we hypothesized that H3B-8800 would induce preferential cell killing of mutant cells by further perturbing splicing to synthetic lethality. In pre-clinical models, H3B-8800 preferentially kills spliceosome mutant cells and induces antitumor activity in xenograft leukemia models with core spliceosome mutations (Seiler M et al Nature Medicine 2018). Therefore, we conducted a phase I clinical trial (NCT02841540) of H3B-8800 in patients with MDS, AML or CMML. Here we describe the safety profile and clinical outcomes of the dose escalation cohorts in this phase I trial. Methods: This phase I trial explored the safety, pharmacokinetics (PK), and pharmacodynamics (PD) of H3B-8800 in patients with myeloid cancers. Dose escalation cohorts, employing a standard 3+3 design, examined 2 different once daily dosing regimens (schedule I: 5 days on/9 days off; schedule II: 21 days on/7 days off) in a 28-day cycle, with stratification based on lower-risk (LR) versus higher-risk (HR) myeloid neoplasms. Results: As of June 16th, 2019, 84 patients were enrolled at 24 centers in the US and Europe. Dose ranged from 1-40 mg among 65 patients on schedule I, while 19 patients were enrolled with dose ranging from 7-20 mg on schedule II. The patient population included AML (n=38), CMML (n=4), HR-MDS (n=20), LR-MDS (n=21) and 1 MDS with unknown risk level. Most patients (88%) had spliceosome mutations of interest. The most common mutations were in SRSF2 (p.P95H in 17, p.P95L in 9, p.P95_R102Del in 4), SF3B1 (p.K700E in 11, p.R625C in 4), and U2AF1 (p.Q157P in 6, p.S34F in 4). Patients remained on treatment from 7 to 819 days; 25 patients (30%) had time on treatment greater than 180 days, 20% more than 1 year and 2% over 2 years. The median therapy duration for LR-CMML/MDS, HR-CMML/MDS, and AML patients were 216, 62, and 47 days respectively. Most observed treatment related treatment-emergent adverse events (TEAEs) were Grade 1 or 2. The most common treatment-related (as judged by the investigator, 〉10% frequency) TEAEs in the patients treated on schedule I were diarrhea (75%), nausea (37%), fatigue (28%) and vomiting (27%). The most common treatment-related TEAEs in the patients treated on schedule II were diarrhea (68%), vomiting (42%), QTc prolongation (21%), nausea (16%), and fatigue (16%). The most common dose limiting toxicity was prolongation of the QTcF interval 〉500 msec (n=2, 40 mg on schedule I and n=1, 20 mg on schedule II, all ≥Grade 3) and bradycardia without other arrhythmias (n=1, 14 mg on schedule II, ≥Grade 3). No ophthalmic AEs were observed; 1 patient (LR-MDS) experienced durable marrow aplasia. The maximum tolerated dose (MTD) has not been confirmed for either Schedule I or Schedule II. PK analysis indicates that H3B-8800 is rapidly absorbed and exhibits dose-proportional increase in plasma exposure. Consistent dose-dependent target engagement (i.e., alteration in mature mRNA transcripts) was observed in blood mononuclear cells from patients enrolled in the 2 mg up to 40 mg dose cohorts on both schedules. Despite this splicing modulation, no objective complete responses (CR) or partial responses (PR) meeting International Working Group criteria were observed. One patient with CMML had a durable platelet response that began in Cycle 1 and persisted through Cycle 13. Nine red blood cell (RBC) transfusion-dependent patients with MDS or CMML and 2 patients with AML did not require RBC transfusions for ≥8 weeks (up to 28 weeks) while on study. One platelet transfusion-dependent patient with LR-MDS did not require platelet transfusions for ≥8 weeks. Conclusion: Results from this first-in-human multicenter prospective clinical trial of a splicing modulator in myeloid neoplasms demonstrate dose-dependent target engagement and predictable PK profile of H3B-8800, and safety even with prolonged dosing. Although no objective CR or PR were achieved, decreased RBC or platelet transfusion requirements were observed in 12 (14%) of enrolled patients. Disclosures Steensma: H3 Biosciences: Other: Research funding to institution, not investigator.; Pfizer: Consultancy; Aprea: Research Funding; Stemline: Consultancy; Arrowhead: Equity Ownership; Summer Road: Consultancy; Astex: Consultancy; Onconova: Consultancy. Wermke:Novartis: Honoraria, Research Funding. Greenberg:Notable Labs: Research Funding; Celgene: Research Funding; Genentech: Research Funding; H3 Biotech: Research Funding; Aprea: Research Funding; Novartis: Membership on an entity's Board of Directors or advisory committees. Font:Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Pfizer: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Komrokji:Agios: Consultancy; JAZZ: Speakers Bureau; DSI: Consultancy; JAZZ: Consultancy; Incyte: Consultancy; Novartis: Speakers Bureau; celgene: Consultancy; pfizer: Consultancy. Yang:Agios: Consultancy; AstraZeneca: Research Funding. Brunner:Astra Zeneca: Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Forty Seven Inc: Membership on an entity's Board of Directors or advisory committees; Jazz Pharma: Membership on an entity's Board of Directors or advisory committees; Novartis: Research Funding. Ades:Agios: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Jazz: Membership on an entity's Board of Directors or advisory committees; Takeda: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees; Silence Therapeutics: Membership on an entity's Board of Directors or advisory committees; Abbvie: Membership on an entity's Board of Directors or advisory committees; Astellas: Membership on an entity's Board of Directors or advisory committees; Amgen: Research Funding; Helsinn Healthcare: Membership on an entity's Board of Directors or advisory committees. Al-Kali:Astex Pharmaceuticals, Inc.: Research Funding. Coombs:H3 Biomedicine: Research Funding. Foran:Agios: Honoraria, Research Funding. Garcia-Manero:Helsinn: Research Funding; Novartis: Research Funding; AbbVie: Research Funding; Celgene: Consultancy, Research Funding; Amphivena: Consultancy, Research Funding; Astex: Consultancy, Research Funding; Onconova: Research Funding; H3 Biomedicine: Research Funding; Merck: Research Funding. Micol:AbbVie: Consultancy; Jazz Pharmaceuticals: Consultancy. Perez De Oteyza:Celgene: Speakers Bureau. Wang:Abbvie: Other: Advisory role; Kite: Other: Advisory role; Jazz: Other: Advisory role; Astellas: Other: Advisory role, Speakers Bureau; celyad: Other: Advisory role; Pfizer: Other: Advisory role, Speakers Bureau; Stemline: Other: Advisory role, Speakers Bureau; Daiichi: Other: Advisory role; Amgen: Other: Advisory role; Agios: Other: Advisory role. Watts:Pfizer: Membership on an entity's Board of Directors or advisory committees; Jazz Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Takeda: Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees. Buonamici:H3 Biomedicine: Employment. Kim:H3 Biomedicine: Employment. Gourineni:H3 Biomedicine: Employment. Marino:H3 Biomedicine: Employment. Rioux:H3 Biomedicine: Employment. Schindler:H3 Biomedicine: Employment. Smith:H3 Biomedicine: Employment. Yao:H3 Biomedicine: Employment. Yuan:Eisai: Employment. Yu:H3 Biomedicine: Employment. Platzbecker:Abbvie: Consultancy, Honoraria; Novartis: Consultancy, Honoraria, Research Funding; Celgene: Consultancy, Honoraria, Research Funding. OffLabel Disclosure: H3B-8800 (experimental, unapproved)

Description: Introduction Acute myeloid leukemia (AML) is a clonal disease with a reduced life expectancy due to a high relapse rate. One explanation is that leukemic stem cells (LSC) evade the action of conventional chemotherapy due to their quiescent state. Several mechanisms have been proposed that regulate their quiescence, however, by analogy with normal hematopoietic stem cells, a key role may be carried out by the signaling pathways Notch and Hedgehog (Hh). The objectives of this study are to analyze the role of Notch and Hh pathways in the quiescence of LSC and to verify if the pharmacological inhibition of the Notch and Hh pathways decreases the percentage of quiescent LSC. In this way, LSCs would be sensitized to chemotherapy treatments and the high relapse rate of AML could be reduced. Methods Expression of GLI1, a transcription factor of the Hh signaling pathway and NOTCH Internal Cleaved Domain (NICD) were analyzed in the hematopoietic stem and progenitor cells of four patients diagnosed with AML. The selection of quiescent fraction was performed by flow cytometry using anti-CD34-FITC, anti-CD117-PerCP, anti-CD45PE-Cy7, anti-CD38-APC-Cy7 and anti-KI67-BV510 antibodies. KI67 negative cells were considered quiescent. The activation of NOTCH and Hh pathways was studied using rabbit anti-GLI, anti-NICD primary antibodies and anti-rabbit BV421 secondary antibodies. Results were expressed in median (range) or mean ± standard deviation. Dose-response curves of inhibitors of the Notch pathway (BMS-906024, inhibitor of γ-secretase), Hh pathway (BMS-833923, SMO inhibitor and GANT61, GLI inhibitor), and cytarabine (AraC) were made to study drug potency in the OCI-AML3 cell line. We also analyzed its synergistic behavior in combination with Arac by calculating the combination index (CI) of each of them. These experiments were conducted in triplicate and values were expressed as the mean ± standard deviation. Finally, the effect of BMS-833923 and BMS-906024 on the quiescence of the CD34+CD38- cells of two patients diagnosed with AML was studied by flow cytometry. The paired samples t-test was used in the statistical analysis of GLI and NICD expression between G0 and proliferating cells and in the statistical analysis of the decrease of quiescent cells due to Notch and Hh inhibitors. Results First of all, hematopoietic and progenitor cells were quantified in four AML patients: the median of the percentage of CD34+CD38- cells with respect to total cells in the bone marrow of the AML patient studied was 1.1% (range: 0.12%-9.05%), within which 71.50% (range: 64.30%-88.43%) are quiescent. Interestingly, we found a trend for a higher expression of NOTCH signaling pathway in the proliferating CD34+CD38- cells (relative median fluorescent intensity (MFI) = 1.91 (range: 1.51-3.34)) compared to the quiescent fraction (relative MFI=1.55 (range: 1.18-1.94); p=0.105). But no differences were found in expression of GLI1. Before studying the effect on cellular quiescence of Notch and Hh inhibitors in monotherapy and in combination with AraC, we evaluated their effect on cell viability. The most potent drug studied was AraC (IC50 = 4.055 μM), followed by inhibitors of the Hh pathway (IC50 BMS-833923 = 5.041 μM; IC50 GANT61 = 7.042 μM) on the OCI-AML3 cell line. In contrast, the γ-secretase inhibitor (BMS-906024) showed no effect. Moreover, it was found that the combination 0.8 μM AraC plus 8 μM BMS-833923 was the most synergistic (CI = 0.53, 15% viability with respect to DMSO control). Subsequently, the effect of the SMO inhibitor on the quiescent CD34+CD38- cells of two patients diagnosed with CD34+ AML was analyzed: BMS-833923 decreased the percentage of quiescent CD34+CD38- cells by 88.5±16.3% in monotherapy (p=0.083) and in presence of AraC by 85.8 ± 21.2% (p=0.113) (figure 1). Conclusion The use of SMO inhibitors for the treatment of AML is promising because it increases the sensitivity of leukemic cells to chemotherapy and facilitates their action by reducing the percentage of quiescent LSC. This could mean a decrease in the probability of relapse in patients with AML treated with Hh inhibitors. These results were derived from an ongoing project and more patients are being studied in order to confirm the explained results. This work is partially funded by the Madrid Association of Hematology and Hemotherapy. Disclosures No relevant conflicts of interest to declare.

Description: Background: Evaluation of MRD is standard in patients with AML. However, the role of decentralized MRD assessment for risk stratification in AML remains largely unknown, and so it does which methodological aspects are critical to empower the evaluation of MRD with prognostic significance, particularly if using MFC. Aim: To evaluate the role of decentralized MRD assessment using MFC for risk stratification and putative treatment individualization of patients with AML. Methods: This study was performed on 1,076 AML patients in complete remission (CR) after 7+3 induction chemotherapy, in whom MRD was evaluated by MFC in local laboratories over a period of 20 years in the PETHEMA group. We conducted a survey of technical aspects of MFC based MRD testing in the laboratories of the 60 participating Hospitals, to determine the impact of methodological heterogeneity in the prognostic value of MFC. Results: We first investigated the most effective MRD cutoff to stratify patients' risk at first remission. Patients were segmented into progressively higher cutoffs, starting at 0.01% followed by 0.05%, 0.1%, 0.5% and 1%. Our results showed that 0.1% reached higher statistical significance to discriminate patients with different relapse-free survival (RFS, HR: 0.77; P = .001) and overall survival (OS, HR: 0.73; P = .001). In multivariate analyses together with patients' age, WBC, genetic risk and post-consolidation therapy, MRD status was selected as an independent prognostic factor for OS. To further define the utility of "real-world" MRD assessment using MFC in risk stratification of AML, recursive partitioning was performed using the prognostic and treatment related factors selected in the multivariate Cox model for OS. Of the four variables evaluated, hematopoietic stem cell transplantation (HSCT, regardless of autologous or allogeneic source) vs no transplant emerged as the best single discriminator for OS, followed by genetic risk, age and MRD status. There were two branching points defined by MRD status; the first in patients ≤60 years with intermediate genetic risk who were not transplanted and the second in patients with adverse genetics who were not transplanted, in whom 500,000 cells were measured. Only MRD assessment using patient-specific panels was predictive of outcome. Conclusions: We report here one of the largest studies investigating the role of MRD monitoring using MFC. Our results confirmed that detection of MRD identifies patients in CR/CRi with inferior survival, but uncovered that decentralized MRD testing lacks significance when compared to other baseline risk factors and in the context of risk-adapted post-consolidation strategies. Thus, while this study demonstrated that "real-world" decentralized assessment of MRD using MFC does provide prognostic information in AML patients at first remission, our results question its readiness for risk stratification towards clinical decisions outside trials, at least until adequate standardization of this technique is achieved. Figure Disclosures Paiva: SkylineDx: Consultancy; Takeda: Consultancy, Honoraria, Research Funding; Roche: Research Funding; Adaptive: Honoraria; Amgen: Honoraria; Janssen: Consultancy, Honoraria; Karyopharm: Consultancy, Honoraria; Kite: Consultancy; Celgene: Consultancy, Honoraria, Research Funding, Speakers Bureau; Sanofi: Consultancy, Honoraria, Research Funding. Alonso Dominguez:Celgene: Research Funding; Incyte: Research Funding; Pfizer: Research Funding. Martinez-Lopez:Janssen: Speakers Bureau; Altum: Membership on an entity's Board of Directors or advisory committees, Patents & Royalties; Hosea: Membership on an entity's Board of Directors or advisory committees, Patents & Royalties; Roche: Speakers Bureau; Amgen: Speakers Bureau; Takeda: Speakers Bureau; Vivia Biotech: Honoraria; Novartis: Research Funding; BMS: Research Funding, Speakers Bureau; Incyte: Research Funding, Speakers Bureau. Sossa:Astellas: Honoraria; Roche: Honoraria; Takeda: Honoraria; Novo: Honoraria. San-Miguel:Roche, AbbVie, GlaxoSmithKline, and Karyopharm: Consultancy, Membership on an entity's Board of Directors or advisory committees; Bristol-Myers Squibb, Celgene, Novartis, Takeda, Amgen, MSD, Janssen, and Sanofi: Consultancy, Membership on an entity's Board of Directors or advisory committees.

Description: A better understanding of how signaling pathways govern cell fate is fundamental to advances in cancer development and treatment. The initialization of different tumors and their maintenance are caused by the deregulation of different signaling pathways and cancer stem cell maintenance. Quiescent stem cells are resistant to conventional chemotherapeutic treatments and, consequently, are responsible for disease relapse. In this review we focus on the conserved Hedgehog (Hh) signaling pathway which is involved in regulating the cell cycle of hematopoietic and leukemic stem cells. Thus, we examine the role of the Hh signaling pathway in normal and leukemic stem cells and dissect its role in acute myeloid leukemia. We explain not only the connection between illness and the signaling pathway but also evaluate innovative therapeutic approaches that could affect the outcome of patients with acute myeloid leukemia. We found that many aspects of the Hedgehog signaling pathway remain unknown. The role of Hh has only been proven in embryo and hematopoietic stem cell development. Further research is needed to elucidate the role of GLI transcription factors for therapeutic targeting. Glasdegib, an SMO inhibitor, has shown clinical activity in acute myeloid leukemia; however, its mechanism of action is not clear.