Preclinical Evaluation of a Novel MALT1 Inhibitor CTX-177 for Relapse/Refractory Lymphomas

Among various subtypes of malignant lymphomas, activated B-cell diffuse large B-cell lymphoma (ABC-DLBCL), mantle cell lymphoma (MCL), and adult T-cell leukemia/lymphoma (ATL) are clinically intractable as patients with these lymphomas carry a dismal prognosis, with long-term survival rates of 10-30%. Therefore, a novel therapeutic strategy is required to better manage patients with these malignancies. Recently, we and other investigators performed comprehensive genetic studies and revealed frequent genetic alterations in B and T cell antigen receptor signaling and NF-κB pathway, such as CD79A/B and CARD11 mutations in ABC-DLBCL and PLCG1, PRKCB, and CARD11 mutations in ATL, suggesting the biological relevance of this pathway. To exploit a new treatment strategy in these malignant lymphomas, we focused on the protease mucosa-associated lymphoid tissue lymphoma translocation 1 (MALT1) which is a key regulator of the antigen receptor signaling and NF-κB pathway and forms a complex with CARD11 and BCL10, and developed a novel compound CTX-177 to inhibit MALT1 with high potency and specificity. CTX-177 was efficacious against ABC-DLBCL and MCL models in vitro and in vivo. Moreover, CTX-177 exhibited combination synergistic effect with BTK inhibitor. In addition, the MALT1 inhibitor showed an anti-tumor effect against CARD11 mutated ABC-DLBCL model, which is resistant to BTK inhibitor. To further explore efficacy of CTX-177 against malignant lymphomas, we generated animal models such as genetically engineered mice and patient-derived xenograft models recapitulating molecular features of these diseases, and examined the response to the MALT1 inhibitor. In these experiments, target engagement of CTX-177 was confirmed by detecting digested substrates of MALT1, and mode of action was evaluated by downregulation of oncogenic transcriptional factor IRF4 which is critical for lymphoma survival. Importantly, the relationship of susceptibility to MALT1 inhibition and gene mutations was analyzed to identity a patient selection biomarker for CTX-177. In summary, the novel, selective, small-molecule MALT1 inhibitor CTX-177 demonstrated preclinical efficacy along with target engagement in several lymphoma models with activated antigen receptor signaling and NF-κB pathway. Our results underscore the preclinical therapeutic potential of CTX-177 as a single-agent or in combination with other inhibitors like BTK inhibitor for the treatment of malignant lymphomas. Disclosures Morishita: Chordia Therapeutics Inc.: Current Employment, Current equity holder in private company. Mizutani:Chordia Therapeutics Inc.: Current Employment, Current equity holder in private company. Tozaki:Chordia Therapeutics Inc.: Current Employment, Current equity holder in private company. Arikawa:Chordia Therapeutics Inc.: Current Employment, Current equity holder in private company. Kataoka:CHUGAI PHARMACEUTICAL CO., LTD.: Research Funding; Takeda Pharmaceutical Company: Research Funding; Otsuka Pharmaceutical: Research Funding; Asahi Genomics: Current equity holder in private company. Yoda:Chordia Therapeutics Inc.: Research Funding. Izutsu:Symbio: Research Funding; Solasia: Research Funding; Celgene: Research Funding; Chugai: Research Funding; Novartis: Research Funding; Ono Pharmaceutical: Research Funding; Bayer pharmaceuticals: Research Funding; Daiichi Sankyo: Research Funding; AstraZeneca: Research Funding; Eisai: Research Funding; Incyte: Research Funding; Abbvie pharmaceuticals: Research Funding; HUYA Japan: Research Funding; Sanofi: Research Funding; Janssen: Research Funding; Yakult: Research Funding. Minami:Bristol-Myers Squibb Company: Honoraria; Novartis Pharma KK: Honoraria; Pfizer Japan Inc.: Honoraria; Takeda: Honoraria. Shimoda:Otsuka Pharmaceutical: Research Funding; Pfizer Inc.: Research Funding; Kyowa Hakko Kirin Co., Ltd.: Research Funding; CHUGAI PHARMACEUTICAL CO., LTD.: Research Funding; Merck & Co.: Research Funding; Astellas Pharma: Research Funding; AbbVie Inc.: Research Funding; PharmaEssentia Japan: Research Funding; Perseus Proteomics: Research Funding; Celgene: Honoraria; Shire plc: Honoraria; Bristol-Myers Squibb: Honoraria; Takeda Pharmaceutical Company: Honoraria; Novartis: Honoraria, Research Funding; Asahi Kasei Medical: Research Funding; Japanese Society of Hematology: Research Funding; The Shinnihon Foundation of Advanced Medical Treatment Research: Research Funding. Miyake:Chordia Therapeutics Inc.: Current Employment, Current equity holder in private company. Ogawa:KAN Research Institute, Inc.: Membership on an entity's Board of Directors or advisory committees, Research Funding; Chordia Therapeutics, Inc.: Membership on an entity's Board of Directors or advisory committees, Research Funding; Asahi Genomics Co., Ltd.: Current equity holder in private company; Otsuka Pharmaceutical Co., Ltd.: Research Funding; Sumitomo Dainippon Pharma Co., Ltd.: Research Funding; Eisai Co., Ltd.: Research Funding.

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Genotype-Phenotype Relationships and Therapeutic Targets in Acute Erythroid Leukemia

Blood ◽

10.1182/blood-2020-141750 ◽

2020 ◽

Vol 136 (Supplement 1) ◽

pp. 17-18

Author(s):

June Takeda ◽

Kenichi Yoshida ◽

Akinori Yoda ◽

Lee-Yung Shih ◽

Yasuhito Nannya ◽

...

Keyword(s):

Cell Line ◽

Board Of Directors ◽

Research Funding ◽

Pharmaceutical Research ◽

Private Company ◽

Advisory Committees ◽

Otsuka Pharmaceutical ◽

Group A ◽

Genetic Profiles ◽

Stat Pathway

Background: Acute erythroid leukemia (AEL) is a rare subtype of AML characterized by erythroid predominant proliferation and classified into two subtypes with pure erythroid (PEL) and myeloid/erythroid (MEL) phenotypes. Although gene mutations in AEL have been described in several reports, genotype phenotype correlations are not fully understood with little knowledge about the feasible molecular targets for therapy. Methods: To understand the mechanism of the erythroid dominant phenotype of AEL and identify potential therapeutic targets for AEL, we analyzed a total of 105 AEL cases with the median age of 60 (23-86), using targeted-capture sequencing of commonly mutated genes in myeloid neoplasms, together with 1,279 SNPs for copy number measurements. Among these 105 cases, 13 were also analyzed by RNA sequencing. Genetic profiles of these 105 AEL cases were compared to those of 775 cases with non-erythroid AML (NEL) including 561 cases from The Cancer Genome Atlas and Beat AML study. An immature erythroid cell line (TF1) and three patient-derived xenografts (PDX) established from AEL with JAK2 and/or EPOR amplification. Cell line and samples from patients were inoculated into immune-deficient mice and tested for their response to JAK1/2 inhibitor. Results: According to unique genetic alterations, AEL was classified into 4 subgroups (A-D). Characterized by TP53 mutations and complex karyotype, Group A was the most common subtype and showed very poor prognosis. Remarkably, all PEL cases were categorized into Group A. Conspicuously, 80% of PEL cases had amplifications of JAK2 (6/10; 60%), EPOR (7/10;70%), and ERG (6/10;60%) loci on chromosomes 9p, 19q, and 21q, respectively, frequently in combination, although they were rarely seen in NEL cases. All cases in Group B (n=19, 18%), another prevalent form of AEL, had STAG2 mutations and classified in MEL. To further characterize this subgroup, we compared genetic profiles of STAG2-mutated AEL and NEL. Prominently, 70% (14/20) of STAG2-mutated cases in AEL had KMT2A-PTD, whereas it was found only in 8.8% (3/34) of NEL. CEBPA mutations were also more common in AEL (6/21; 29%) than NEL (4/34; 12%). While Group C was characterized by frequent NPM1 mutations, in contrast to the frequent co-mutation of FLT3 in the corresponding subgroup of NPM1-mutated cases in NEL, NPM1-mutated patents in this subgroup lacked FLT3 mutations but had frequent PTPN11 mutations (8/16; 50%), which were much less common in NEL (25/209; 12%). The remaining cases were categorized into Group D, which was enriched for mutations in ASXL1, BCOR, PHF6, U2AF1 and KMT2C. Recurrent loss-of-function mutations in USP9X were unique to this subtype, although USP9X mutations have been reported in ALL with upregulation of JAK-STAT pathway. In RNA sequencing analysis, AEL cases exhibited gene expression profiles implicated in an upregulated STAT5 signaling pathway, which was seen not only those cases with JAK2 or EPOR amplification, but also those without, suggesting that aberrantly upregulated STAT5 activation might represent a common defect in AEL. Based on this finding, we evaluated the effect of a JAK inhibitior, ruxolitinib, on an AEL-derived cell line and three PDX models established from AEL having TP53 mutations and JAK2 and EPOR mutation/amplification. Of interest, ruxolitinib significantly suppressed cell growth and prolonged overall survival in mice engrafted with TF1 and 2 PDX models with STAT5 downregulation, although the other model was resistant to JAK2 inhibition with persistent STAT5 activation. Conclusion: AEL is a heterogeneous group of AML, of which PEL is characterized by frequent amplifications/mutations in JAK2, EPOR and/or ERG. Frequent involvement of EPOR/JAK/STAT pathway is a common feature of AEL, in which a role of JAK inhibition was suggested. Disclosures Yoda: Chordia Therapeutics Inc.: Research Funding. Shih:Novartis: Research Funding; Celgene: Research Funding; PharmaEssentia: Consultancy, Membership on an entity's Board of Directors or advisory committees; Bristol-Myers Squibb: Consultancy, Membership on an entity's Board of Directors or advisory committees. Ishiyama:Alexion: Research Funding; Novartis: Honoraria. Miyazaki:Astellas Pharma Inc.: Honoraria; Sumitomo Dainippon Pharma Co., Ltd.: Honoraria; NIPPON SHINYAKU CO.,LTD.: Honoraria; Celgene: Honoraria; Otsuka Pharmaceutical: Honoraria; Chugai Pharmaceutical Co., Ltd.: Honoraria; Novartis Pharma KK: Honoraria; Kyowa Kirin Co., Ltd.: Honoraria. Nakagawa:Sumitomo Dainippon Pharma Co., Ltd.: Research Funding. Takaori-Kondo:Celgene: Honoraria, Research Funding; Ono Pharmaceutical: Research Funding; Thyas Co. Ltd.: Research Funding; Takeda: Research Funding; CHUGAI: Research Funding; OHARA Pharmaceutical: Research Funding; Sanofi: Research Funding; Novartis Pharma: Honoraria; Bristol-Myers Squibb: Honoraria, Research Funding; Pfizer: Research Funding; Otsuka Pharmaceutical: Research Funding; Eisai: Research Funding; Astellas Pharma: Honoraria, Research Funding; Kyowa Kirin: Honoraria, Research Funding; Nippon Shinyaku: Research Funding; MSD: Honoraria. Kataoka:Asahi Genomics: Current equity holder in private company; Otsuka Pharmaceutical: Research Funding; Takeda Pharmaceutical Company: Research Funding; CHUGAI PHARMACEUTICAL CO., LTD.: Research Funding. Usuki:Alexion: Research Funding, Speakers Bureau; Apellis: Research Funding; Novartis: Research Funding, Speakers Bureau; Chugai: Research Funding. Maciejewski:Novartis, Roche: Consultancy, Honoraria; Alexion, BMS: Speakers Bureau. Ganser:Novartis: Consultancy; Celgene: Consultancy. Thol:Daiichi Sankyo: Membership on an entity's Board of Directors or advisory committees; Pfizer: Membership on an entity's Board of Directors or advisory committees; Astellas: Membership on an entity's Board of Directors or advisory committees; Abbvie: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees. Ogawa:Sumitomo Dainippon Pharma Co., Ltd.: Research Funding; Otsuka Pharmaceutical Co., Ltd.: Research Funding; Asahi Genomics Co., Ltd.: Current equity holder in private company; Eisai Co., Ltd.: Research Funding; Chordia Therapeutics, Inc.: Membership on an entity's Board of Directors or advisory committees, Research Funding; KAN Research Institute, Inc.: Membership on an entity's Board of Directors or advisory committees, Research Funding. OffLabel Disclosure: Ruxolitinib is used for drug efficacy test using patient-derived xenografts established from acute erythroid leukemia.

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Prognostic Relevance of Genetic Abnormalities in Blastic Transformation of Chronic Myeloid Leukemia

Blood ◽

10.1182/blood-2020-140629 ◽

2020 ◽

Vol 136 (Supplement 1) ◽

pp. 3-4

Author(s):

Yotaro Ochi ◽

Kenichi Yoshida ◽

Ying-Jung Huang ◽

Ming-Chung Kuo ◽

Ko Sasaki ◽

...

Keyword(s):

Board Of Directors ◽

Clinical Outcomes ◽

Myeloid Leukemia ◽

Research Funding ◽

Pharmaceutical Research ◽

Driver Mutations ◽

Advisory Committees ◽

Tp53 Mutations ◽

Genetic Abnormalities ◽

Otsuka Pharmaceutical

Background Chronic myeloid leukemia (CML) is characterized by the BCR-ABL1 fusion gene. Despite the use of tyrosine kinase inhibitors (TKIs), a minority of chronic phase (CP) CML patients fail TKI therapies and progress to blast crisis (BC), showing dismal outcomes. Although genetic studies have revealed that CML-BC frequently carries not only ABL1 mutations but other driver mutations, our knowledge about the mechanism of TKI resistance and progression to BC is still limited by a relatively small number of patients and/or genes analyzed in each study. Moreover, it remains elusive whether mutations can predict clinical outcomes of BC patients, in which few biomarkers are known. Here, we investigated a large cohort of CML patients to reveal the landscape of genetic lesions and those predicting clinical outcomes in CML. Methods We performed whole-exome sequencing (WES) of paired CP and BC samples from 52 patients and targeted-capture sequencing that covered myeloid driver genes in 32 BC and 19 CP samples. Combined with public WES data for 24 BC and 77 CP, we analyzed a total of 108 BC and 148 CP samples. Results In WES analysis of paired CP and BC samples, an average of 5.3 nonsynonymous mutations were acquired during disease progression from CP to BC. Notably, a Poisson regression model revealed that the number of acquired mutations was positively correlated with time to progression from CP to BC (P < 0.001) and negatively with TKI therapy after CP diagnosis (P = 0.0093), although the correlation of the number of driver mutations in CML-BC with time to progression was not clear. These results suggest that the use of TKI effectively reduces the size of tumor populations at risk for clonal evolution by acquiring random mutations, by which prevents BC. In CML-BC, we found frequent mutations not only in known mutational targets in other hematological malignancies, such as RUNX1, ABL1, ASXL1, BCOR/BCORL1, TP53, and WT1, but also in other genes recently reported in BC (UBE2A and SETD1B) and previously unreported mutational targets in cancer (KLC2 and NBEAL2). Deep amplicon-sequencing revealed that ASXL1 mutations were already present at the time of CP diagnosis in most cases, whereas others such as RUNX1, ABL1, and TP53 mutations were absent in CP and newly emerged during progression to BC. Some abnormalities, such as +21, +8, and ASXL1 mutations, were more enriched in myeloid than lymphoid crisis, while others, including CDKN2A/B and IKZF1 deletions, -7/del(7p), -9/del(9p), and ABL1 mutations, vice versa. By contrast, abnormalities such as RUNX1 mutations and double Ph were almost equally observed in both crises. In univariate analysis of clinical factors for overall survival (OS) in 77 CML-BC cases for whom survival information was available, TKI-containing therapy for BC was significantly associated with a better OS, whereas genetic lesions including ASXL1 and TP53 mutations, del(17p), amp(17q), +19, and +21 had a negative impact on OS. Conspicuously, patients with TP53 mutations, del(17p), and amp(17q) showed an especially dismal outcome. We then performed a multivariate analysis using a Cox proportional hazard regression model, focusing on 36 TKI-treated patients, because TKI-containing therapy has been shown to improve OS and therefore, is a standard choice of therapy. We found that ASXL1 and BCOR mutations, complex copy-number alterations, amp(17q), and +21 were independent predictors for worse prognosis. Based on the number of these unfavorable factors, patients were classified into three subgroups showing distinct prognosis, where the 2-year OS rate was 71.8%, 15.6%, and 0% for patients with 0, 1, and ≥2 risk factors, respectively (P < 0.001). Finally, we explored the genetic abnormalities and clinical outcomes in CML-CP. In CP, only ASXL1 was mutated at a frequency comparable to that in BC, while others, including TET2, KMT2D, PTPN11, RUNX1, and WT1, were mutated at much lower frequencies. Of interest, patients who later developed BC more frequently had at least one genetic abnormality, suggesting that mutations found at the time of CP might play a role in driving CML cells to BC under the pressure of TKI treatment. Conclusion Our study clarified a comprehensive registry of genetic lesions in BC in a large cohort of CML patients and their prognostic impact, which should provide a clue to the development of better therapy/management for patients with CML. Disclosures Takaori-Kondo: Celgene: Honoraria, Research Funding; Bristol-Myers Squibb: Honoraria, Research Funding; Kyowa Kirin: Honoraria, Research Funding; Astellas Pharma: Honoraria, Research Funding; Ono Pharmaceutical: Research Funding; Thyas Co. Ltd.: Research Funding; Takeda: Research Funding; CHUGAI: Research Funding; Eisai: Research Funding; Nippon Shinyaku: Research Funding; Otsuka Pharmaceutical: Research Funding; Pfizer: Research Funding; OHARA Pharmaceutical: Research Funding; Sanofi: Research Funding; Novartis Pharma: Honoraria; MSD: Honoraria. Mitani:CHUGAI: Research Funding; Takeda: Research Funding; KYOWA KIRIN: Consultancy, Research Funding. Ogawa:Chordia Therapeutics, Inc.: Membership on an entity's Board of Directors or advisory committees, Research Funding; Asahi Genomics Co., Ltd.: Current equity holder in private company; Eisai Co., Ltd.: Research Funding; Otsuka Pharmaceutical Co., Ltd.: Research Funding; KAN Research Institute, Inc.: Membership on an entity's Board of Directors or advisory committees, Research Funding; Sumitomo Dainippon Pharma Co., Ltd.: Research Funding. Shih:Novartis: Research Funding; Celgene: Research Funding; PharmaEssentia: Consultancy, Membership on an entity's Board of Directors or advisory committees; Bristol-Myers Squibb: Consultancy, Membership on an entity's Board of Directors or advisory committees.

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Post-Treatment Clone Size Predicts Survival Independently of IPSS-R and Response after Azacitidine Therapy for MDS.

Blood ◽

10.1182/blood-2020-139082 ◽

2020 ◽

Vol 136 (Supplement 1) ◽

pp. 12-13

Author(s):

Yasuhito Nannya ◽

Magnus Tobiasson ◽

Shinya Sato ◽

Elsa Bernard ◽

Maria Creignou ◽

...

Keyword(s):

Clinical Response ◽

Board Of Directors ◽

Research Funding ◽

Post Treatment ◽

Private Company ◽

Advisory Committees ◽

Clone Size ◽

Otsuka Pharmaceutical ◽

Pre Treatment

Background DNA hypomethylating agents (HMAs), including azacytidine (AZA) have been established as key drugs for higher-risk myelodysplastic syndromes (MDS). We and others have explored the role of mutation profile before AZA administration on predicting outcomes. Actually, we have previously identified mutated-TP53 as a marker associated with higher rate of achieving complete remission (CR). In addition, mutations in TP53 and DDX41 predicted reduced and prolonged survival after treatment, respectively. However, the clinical significance of evaluating clone size changes early after treatment has not been determined. In this study, we explored the role of post-treatment clone size in predicting outcomes of AZA treatment for MDS and related diseases. Methods We enrolled 290 AZA-treated cases, including 88 from a Japanese prospective study (JALSG MDS-212 trial), 149 from Karolinska Institute, and 53 from a retrospectively collected Japanese cases. The diagnoses were MDS (n=242), MDS/MPN (n=25), and AML-MRC (n=23). For all patients, tumor samples were collected both before and after AZA administration and were analyzed for mutations in 66 genes implicated in myeloid neoplasms using targeted-capture sequencing. The median cycles of AZA treatment before sampling was 4 (range 1-7). Clone size was calculated from variant allele frequency adjusted for ploidy or allelic imbalances.Survival was calculated with a Cox regression model. Results In post-treatment samples, we identified 870 mutations in 51 genes in 255 (88%) patients with a median of 3 mutations per sample, while 943 mutations were seen in 279 (96%) patients in the pre-treatment samples. Most frequently detected mutations in post-treatment samples were seen in TET2, TP53, RUNX1, and ASXL1. Germline DDX41 mutations were excluded from clone size evaluation. Median clone sizes were 0.63 and 0.54 for pre-treatment and post-treatment samples (P=.011), respectively. The largest clone sizes (max(VAF)) in post-treatment samples had a strong negative correlation with hematological response according to IWG criteria (P < .0001). We next explored whether max(VAF) in post-treatment samples provides a more precise estimation of long-term survival than IPSS-R. Max(VAF) further stratified each IPSS-R risk group in subgroups with discrete OS (P < .0001 for IPSS-R very high and P = .0004 for high risk group). Incorporating pre-treatment mutation data (mutations in TP53 and DDX41) and max(VAF) values in addition to IPSS-R scores and clinical response, we constructed a multivariate model and found that all these factors had an independent and significant impact on OS (Figure 1A). Next, we examined whether max(VAF) combined with IPSS-R and clinical response can improve the model. For this purpose, we randomly split the cohort into 75% training and 25% validation subsets and for each split, we constructed different models using the training set, performance of which was evaluated by calculating the concordance index (c-index) using the validation set. The mean c-index in 10,000 simulation sets increased by 0.025 by adding response data to IPSS-R score (I versus IR in Fig 1B). Further improvements were obtained by adding gene mutation and max(VAF), in which the c-index increased by 0.034 (IR versus IGR in Fig 1B) and 0.010 (IGR versus IGRP in Fig 1B), respectively. For the 53 patients who received allogeneic stem cell transplantation, the median post-transplant OS was 82.6 months (range, 36.3 to not reached). Notably, max(VAF) significantly stratified OS after allo-SCT (HR, 3.3; 95%CI, 1.3 to 8.3; P = .014). Conclusions Our study revealed that post-treatment clone size significantly correlated with clinical response and the evaluation of post-treatment clone size allows for more precise prognostication after AZA treatment compared with IPSS-R and clinical response alone. Table Disclosures Naoe: NIPPON SHINYAKU CO.,LTD.: Speakers Bureau; Sysmex co.: Speakers Bureau; Eisai Co., Ltd.: Speakers Bureau; Astellas Pharma Inc.: Speakers Bureau; Bristol-Myers Squibb Company: Speakers Bureau. Miyazaki:Celgene: Honoraria; Sumitomo Dainippon Pharma Co., Ltd.: Honoraria; Kyowa Kirin Co., Ltd.: Honoraria; Novartis Pharma KK: Honoraria; NIPPON SHINYAKU CO.,LTD.: Honoraria; Otsuka Pharmaceutical: Honoraria; Astellas Pharma Inc.: Honoraria; Chugai Pharmaceutical Co., Ltd.: Honoraria. Papaemmanuil:Kyowa Hakko Kirin: Consultancy, Honoraria; Prime Oncology: Consultancy, Honoraria; Novartis: Consultancy, Honoraria; Illumina: Consultancy, Honoraria; Celgene: Consultancy, Honoraria, Research Funding; MSKCC: Patents & Royalties; Isabl: Current equity holder in private company, Membership on an entity's Board of Directors or advisory committees. Ogawa:Eisai Co., Ltd.: Research Funding; Chordia Therapeutics, Inc.: Membership on an entity's Board of Directors or advisory committees, Research Funding; KAN Research Institute, Inc.: Membership on an entity's Board of Directors or advisory committees, Research Funding; Otsuka Pharmaceutical Co., Ltd.: Research Funding; Asahi Genomics Co., Ltd.: Current equity holder in private company; Sumitomo Dainippon Pharma Co., Ltd.: Research Funding.

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