Acute Myeloid Leukemia Transformation Research Articles

Prognostic impact of next-generation sequencing on myelodysplastic syndrome: A single-center experience.

Myelodysplastic syndromes (MDS) are clinically heterogeneous disorders characterized by peripheral blood cytopenias, poor differentiation, clonal hematopoiesis, and increased risk of developing acute myeloid leukemia (AML). While somatic mutations do not currently feature in prognostic scoring systems, they may impact the clinical phenotype. In recent years, next-generation sequencing (NGS) has enabled the opportunity to identify an increasing number of genetic abnormalities, including recurrent modifications in the TP53, DNMT3A, NRAS, NPM1, RUNX1, and FLT3 genes. Bone marrow aspirate samples of 56 patients with MDS were investigated for mutations using NGS. We compared the relationship between gene mutation status and laboratory characteristics, such as certain cytopenias, the revised international prognostic scoring system, MDS subtypes, karyotypes, AML development, and overall survival. Twenty-one genes were found to have gene mutations, including ASXL1, TET2, SRSF2, EZH2, CSF3R, NRAS, ETV6, SETBP1, RUNX1, DDX41, U2AF1, JAK2, FLT3ITD, SF3B1, DNAMT3A, PHF6, TP53, CEBPA, CBL, IDH2, and GATA2. At least one point mutation occurred in 64.2% of all patients, including 58.3% of those with normal cytogenetics. Thrombocytopenia (P = .016), anemia (P = .018), decreased overall survival (P = .017), and increased AML transformation (P = .023) have been revealed to be linked to non-SF3B1 mutations. MDS are frequently associated with somatic point mutations. According to early findings, NGS panels are extremely effective instruments that provide an entirely new viewpoint on the disease for particular individuals. Future prognostications will depend more on NGS because those who exhibit normal cytogenetics may additionally have gene mutations.

Risk Stratification Tools in Predicting Survival and Transformation of Therapy-Related Myelodysplastic Syndrome: A Systematic Review

Background: Therapy-related myelodysplastic syndromes (t-MDS) are grouped with therapy-related acute lymphoblastic leukemia (t-ALL) and therapy-related myelodysplastic/myeloproliferative neoplasms (t-MDS/MPN) under therapy-related myeloid neoplasms (t-MNs). Most myelodysplastic syndrome (MDS) prognostic models have excluded t-MDS patients, leaving their prognostic utility uncertain. Objective: This systematic review aims to synthesize the predictive utility of existing and novel risk stratification tools in assessing the survival and transformation of t-MDS. Methods: Searches were conducted in PubMed and ScienceDirect following PRISMA 2020 guidelines, focusing on overall survival and transforming t-MDS into acute myeloid leukemia (AML). Two reviewers independently screened references, extracted data, and assessed quality using the QUAPAS-2 tool. Results: From 1715 abstracts and 13 papers, 6 studies were included. Three studies on the International Prognostic Scoring System (IPSS) showed significant predictive power for survival and AML transformation. Five studies on the revised IPSS (IPSS-R) and WHO-based Prognostic Scoring System-revised (WPSS-R) also showed significant results. One study highlighted the cytogenetic component of IPSS-R (cIPSS-R) as highly prognostic. Conclusion: Existing and novel risk stratification tools demonstrate significant prognostic power for t- MDS. Further refinement and validation are needed to enhance risk assessment and treatment strategies.

WT1 gene mutations impact post-transplant relapse in myelodysplastic syndrome with excess blasts 2 patients.

Wilms tumor 1 (WT1) gene mutations are infrequent in myelodysplastic syndrome (MDS), but MDS with WT1 mutations (WT1mut) is considered high risk for acute myeloid leukemia (AML) transformation. The influence of WT1 mutations in patients with MDS after allogeneic hematopoietic stem cell transplantation (allo-HSCT) is unclear. We performed a retrospective analysis of 136 MDS with excess blasts 2 (MDS-EB2) patients with available WT1 status who underwent their first allo-HSCT between 2017 and 2022 in our center. There were 20 (20/136, 15%) cases in the WT1mut group and 116 (116/136, 85%) cases in the WT1 wild-type (WT1wt) group. WT1mut patients had a higher 2-year cumulative incidence of relapse (CIR) than WT1wt cases (26.2% vs. 9.4%, p = 0.037) after allo-HSCT. Multivariate analysis of relapse showed that WT1 mutations (HR, 6.0; p = 0.002), TP53 mutations (HR, 4.2; p = 0.021), and ≥ 5% blasts in bone marrow (BM) at transplantation (HR, 6.6; p = 0.004) were independent risk factors for relapse. Patients were stratified into three groups according to the risk factors. Two-year CIR differed significantly in high-, intermediate-, and low-risk groups (31.8%, 11.6%, and 0%, respectively). Hence, WT1 mutations may be related to post-transplant relapse in patients with MDS-EB2, which warrants further study.

Initiating-clone analysis in patients with acute myeloid leukemia secondary to essential thrombocythemia

Most of essential thrombocythemia (ET) patients have the clone harboring a mutation in one of the JAK2, CALR, or MPL gene, and these clones generally acquire additional mutations at transformation to acute myeloid leukemia (AML). However, the proliferation of triple-negative clones has sometimes been observed at AML transformation. To clarify the clonal evolution of ET to AML, we analyzed paired samples at ET and AML transformation in eight patients. We identified that JAK2-unmutated AML clones proliferated at AML transformation in three patients in whom the JAK2-mutated clone was dominant at ET. In two patients, TET2-mutated, but not JAK2-mutated, clones might be common initiating clones for ET and transformed AML. In a patient with JAK2-mutated ET, SMARCC2, UBR4, and ZNF143, but not JAK2, -mutated clones proliferated at AML transformation. Precise analysis using single-cell sorted CD34+/CD38- fractions suggested that ET clone with JAK2-mutated and AML clone with TP53 mutation was derived from the common clone with these mutations. Although further study is required to clarify the biological significance of SMARCC2, UBR4, and ZNF143 mutations during disease progression of ET and AML transformation, the present results demonstrate the possibility of a common initial clone involved in both ET and transformed AML.

Effects of Autoimmune Disorders on Myelodysplastic Syndrome Outcomes: A Systematic Review

Background: Autoimmune disorders (ADs) are prevalent among patients with myelodysplastic syndrome (MDS), yet their impact on MDS outcomes, including overall survival (OS), mortality, and transformation to acute myeloid leukemia (AML), is not well defined. Methods: We conducted a systematic review of articles published up to April 2024, sourced from PubMed, Web of Science, Embase, and Google Scholar, focusing on the influence of ADs on survival and AML transformation rates in MDS patients. The methodological quality of each study was assessed using the Newcastle Ottawa Scale. Results: From 8 studies that met the inclusion criteria, ADs were present in 17.5% (3074/17,481) of MDS patients. Data analysis indicated mortality rates ranging from 15.3% to 67% in MDS patients with ADs and 12% to 69% in those without. The rate of AML transformation varied from 0% to 23% in patients with ADs compared to 4% to 30% in those without. Conclusions: The influence of ADs on survival and AML transformation in MDS patients appears variable. This systematic review highlights the need for further large-scale prospective studies to clarify the relationship between ADs and MDS outcomes.

Transcriptome free energy can serve as a dynamic patient-specific biomarker in acute myeloid leukemia

Acute myeloid leukemia (AML) is prevalent in both adult and pediatric patients. Despite advances in patient categorization, the heterogeneity of AML remains a challenge. Recent studies have explored the use of gene expression data to enhance AML diagnosis and prognosis, however, alternative approaches rooted in physics and chemistry may provide another level of insight into AML transformation. Utilizing publicly available databases, we analyze 884 human and mouse blood and bone marrow samples. We employ a personalized medicine strategy, combining state-transition theory and surprisal analysis, to assess the RNA transcriptome of individual patients. The transcriptome is transformed into physical parameters that represent each sample’s steady state and the free energy change (FEC) from that steady state, which is the state with the lowest free energy.We found the transcriptome steady state was invariant across normal and AML samples. FEC, representing active molecular processes, varied significantly between samples and was used to create patient-specific barcodes to characterize the biology of the disease. We discovered that AML samples that were in a transition state had the highest FEC. This disease state may be characterized as the most unstable and hence the most therapeutically targetable since a change in free energy is a thermodynamic requirement for disease progression. We also found that distinct sets of ongoing processes may be at the root of otherwise similar clinical phenotypes, implying that our integrated analysis of transcriptome profiles may facilitate a personalized medicine approach to cure AML and restore a steady state in each patient.

Cytogenetic profile and risk of transformation to acute myeloid leukemia (AML) in Indonesian patients with myelodysplastic syndrome (MDS): a pilot study

Background Cytogenetics is a fundamental examination in the course and management of myelodysplastic syndrome (MDS) since it is widely used as a diagnostic and prognostic indicator for the disease. Some cytogenetic profiles are associated with a higher risk of acute myeloid leukemia (AML) transformation. This is the first study to evaluate the cytogenetic profile of Indonesian patients with MDS. Methods This prospective cohort study was conducted at the Cancer Center and several other referral hospitals. Patients with primary MDS aged >18 years were included in the study. Clinical examination, peripheral blood smear, and bone marrow aspiration were performed, followed by cytogenetic examination. The results were further categorized into revised international prognostic scoring system (IPSS-R) scores, and cytogenetic profiles were descriptively presented. Patients were followed up for one year to evaluate AML transformation. Results A total of 28 MDS patients, aged 66±12 years, were included in this study. The majority of the patients were male (n=17;60.7%), aged 65 years or above (n=19;67.9%), diagnosed with MDS-MLD (n=14;50%), and had an intermediate cytogenetic group (n=4;14.3%). The IPSS-R score was high in 6 (21.4%) patients and very high risk in 3 (10.7%) patients. During one-year follow-up, AML transformation occurred in 3 (10.7%) patients, and 10 (35.7%) patients ceased. Monosomy 7 was observed in 6 (21.4%) patients but in one metaphase each. Deletion of chromosome 5 (del(5)(q31)), del (16)(q21.1), and del (16)(q11.2) were found in a male patient with MDS-EB1. Conclusions Monosomy 7 and deletion of chromosome 5 have been identified in Indonesian patients with MDS. MDS-EB has the highest risk of AML transformation.

Unpredicted transformation of acute myeloid leukemia with translocation (16;16) (p13; q22): a case report and review of the literature

IntroductionThe transformation of acute myeloid leukemia with translocation (16;16) (p13; q22) from AML M2 to acute monocytic leukemia (AML M5) during therapy is a rare clinical occurrence, and this is the first time it has been reported.Clinical complainA 19-year-old male patient was admitted for severe fatigue with anemic manifestation and weight loss, for more than 1 month, with exacerbation of the condition in the last 2 days.DiagnosisA primary diagnosis was made for AML M2 with t (16;16) (p13; q22) established on bone marrow (BM) morphology. A consequential detection of FLT-3 ITD mutation was done. At day 28 follow-up after induction and maintenance therapy, the diagnosis of AML M2 was maintained with a high bone marrow (BM) blast count, prompting the initiation of a more aggressive treatment protocol. After 1 month of implementing the recent protocol, the patient remains morphologically resistant with a notable transformation of bone marrow infiltration by an abnormal monocytic population (monoblasts and promonocytes). The final diagnosis of transforming FLT3-mutated AML with t (16;16) (p13; q22) was established.InterventionAfter the initial diagnosis of AML M2 with t (16;16) (p13; q22), the patient received the 3 + 7 induction protocol. The 2nd induction protocol initiated after the second evaluation and morphological resistance was the FLAG Adrian protocol. The 3rd protocol after transformation to AML M5 was 1 cycle of the MEC protocol. Anti-FLT3 treatment was considered.OutcomesThe patient was maintained on the 3rd protocol of chemotherapy. Unfortunately, he was admitted to the ICU unit complaining of neutropenic fever and severe sepsis where he died before final re-evaluation and the anti-FLT3 treatment initiation.ConclusionAML with t (16;16) (p13; q22) characterized by favorable outcome. However, identifying additional chromosome abnormality or genetic aberration, especially FLT3 gene mutation, is recognized as an important factor influencing final disease outcome. Therefore, early detection of FLT3 mutations will allow comprehensive disease course prediction and targeted therapy that might achieve longer and more durable remissions.

Attenuated cell cycle and DNA damage response transcriptome signatures and overrepresented cell adhesion processes imply accelerated progression in patients with lower-risk myelodysplastic neoplasms.

Patients with myelodysplastic neoplasms (MDS) are classified according to the risk of acute myeloid leukemia transformation. Some lower-risk MDS patients (LR-MDS) progress rapidly despite expected good prognosis. Using diagnostic samples, we aimed to uncover the mechanisms of this accelerated progression at the transcriptome level. RNAseq was performed on CD34+ ribodepleted RNA samples from 53 LR-MDS patients without accelerated progression (stMDS) and 8 who progressed within 20 months (prMDS); 845 genes were differentially expressed (ІlogFCІ > 1, FDR < 0.01) between these groups. stMDS CD34+ cells exhibited transcriptional signatures of actively cycling, megakaryocyte/erythrocyte lineage-primed progenitors, with upregulation of cell cycle checkpoints and stress pathways, which presumably form a tumor-suppressing barrier. Conversely, cell cycle, DNA damage response (DDR) and energy metabolism-related pathways were downregulated in prMDS samples, whereas cell adhesion processes were upregulated. Also, prMDS samples showed high levels of aberrant splicing and global lncRNA expression that may contribute to the attenuation of DDR pathways. We observed overexpression of multiple oncogenes and diminished differentiation in prMDS; the expression of ZEB1 and NEK3, genes not previously associated with MDS prognosis, might serve as potential biomarkers for LR-MDS progression. Our 19-gene DDR signature showed a significant predictive power for LR-MDS progression. In validation samples (stMDS = 3, prMDS = 4), the key markers and signatures retained their significance. Collectively, accelerated progression of LR-MDS appears to be associated with transcriptome patterns of a quiescent-like cell state, reduced lineage differentiation and suppressed DDR, inherent to CD34+ cells. The attenuation of DDR-related gene-expression signature may refine risk assessment in LR-MDS patients.

Aberrant HIF1- α and SIX-1 Expression is Associated with Poor Prognosis in Acute Myeloid Leukemia Patients with Isocitrate Dehydrogenase 1 Mutations.

IDH1 mutations are common in many cancers, however, their role in promoting the Warburg effect remains elusive. This study elucidates the putative involvement of mutant-IDH1 in regulating hypoxia-inducible factor (HIF1-α) and Sine-Oculis Homeobox-1 (SIX-1) expression. Genetic screening was performed using the ARMS-PCR in acute myeloid leukemia (AML), brain, and breast cancer (BC) cohorts, while transcript expression was determined using qPCR. Further, a meta-analysis of risk factors associated with the R132 mutation was performed. Approximately 32% of AML and ∼60% of glioma cases were mutants, while no mutation was found in the BC cohort. 'AA' and TT' were associated with higher disease risk (OR = 12.18 & 4.68) in AML and had significantly upregulated IDH1 expression. Moreover, downregulated HIF1-α and upregulated SIX-1 expression was also observed in these patients, suggesting that mutant-IDH1 may alter glucose metabolism. Perturbed IDH1 and HIF-α levels exhibited poor prognosis in univariate and multivariate analysis, while age and gender were found to be contributory factors as well. Based on the ROC model, these had a good potential to be used as prognostic markers. A significant variation in frequencies of R132 mutations in AML among different populations was observed. Cytogenesis (R2 = 12.2%), NMP1 mutation status (R2 = 18.5%), and ethnic contributions (R2 = 73.21%) were critical moderators underlying these mutations. Women had a higher risk of R132 mutation (HR = 1.3, P < 0.04). The pooled prevalence was calculated to be 0.29 (95% CI 0.26-0.33, P < 0.01), indicating that IDH1 mutations are a significant prognostic factor in AML. IDH1 and HIF1-α profiles are linked to poor survival and prognosis, while high SIX-1 expression in IDH1 mutants suggests a role in leukemic transformation and therapy response in AML.

Clinical Characteristics and Outcomes of Therapy-Related Chronic Myelomonocytic Leukemia: Analysis of a Large Cohort

Introduction: Therapy-related myeloid neoplasms are associated with a previous exposure to cytotoxic agents or ionizing radiation, and account for 10-20% of all myeloid neoplasms. They are associated with a worse outcome, usually with high risk genetic abnormalities and poor response to therapies. Chronic myelomonocytic leukemia (CMML) is a rare myeloid neoplasm with persistent monocytosis, bone marrow dysplasia and an inherent risk of acute myeloid leukemia (AML) transformation. Due to its rarity, it is difficult to establish the specific impact of previous therapy in CMML. We previously reported the characteristics and outcomes of patients with therapy-related CMML (tCMML). Herein we report an update, including molecular characteristics, being the largest tCMML cohort reported to date. Methods: We retrospective evaluated a cohort of patients diagnosed with CMML from 2005 to 2022. Data regarding previous exposure to treatment was captured and tCMML diagnosis was established for patients with a documented prior history of radiation therapy or cytotoxic chemotherapy due to an antecedent malignancy prior to the diagnosis of CMML. Those non-tCMML were defined as de novo CMML (dnCMML). Overall survival (OS) was calculated from diagnosis to death, and leukemia-free survival (LFS) was calculated from diagnosis to death or AML transformation. Results: A total of 532 patients with CMML were included in the study, of whom 71 (13%) were tCMML. When comparing tCMML with dnCMML, there were no differences in median age (73 vs 70 years old) or sex (67% vs 69% male). No differences were noted in white blood cell count, absolute monocyte count, hemoglobin or platelet count. According to the WHO 2016 classification, 38% vs 44% were CMML-0, 40% vs 36% were CMML-1, and 22% vs 20% were CMML-2, for patients with dnCMML and tCMML, respectively. According to the FAB classification, 42% vs 52% were dysplastic and 58% vs 49% were proliferative, for patients with dnCMML and tCMML, respectively. Chromosome 7 abnormalities where more common among tCMML compared to dnCMML (14% vs 4%, p=0.006), with no differences in frequency of complex karyotype (8% vs 3%, p=0.1). In tCMML patients, 35% received only radiotherapy, 31% only chemotherapy and 34% both. In patients that received chemotherapy, the most common therapies were alkylating agents (45%), agents targeting microtubules (37%) and antimetabolite agents (35%). The median latency from therapy to tCMML was 6.5 years (range, 0.1-24). Most common neoplasms prior to the diagnosis of tCMML were prostate (25%), lymphoma (23%) and breast cancer (14%). Most frequently detected mutations at diagnosis were TET2 (55% vs 61%, p=0.5), ASXL1 (44% vs 53%, p=0.3), and SRSF2 (43% vs 30%, p=0.1), in patients with dnCMML and tCMML, respectively. Patients with tCMML had a lower incidence of NRAS (22% vs 6%, p=0.007) and CBL (18% vs 5%, p=0.04) mutations compared to dnCMML, but these mutations were present at a higher median VAF among patients with tCMML (48% vs 18% [p=0.04] for NRAS and 91% vs 20% [p=0.02] for CBL) (Figure 1). TP53 mutations were more frequent in the tCMML although differences were not significant (12% vs 4%, p=0.06). Among all patients, 352 patients received treatment and were evaluable for response (305 patients with dnCMML and 47 patients with tCMML). More than 90% of patients received an hypomethylating agent-based therapy, with an ORR of 59% for dnCMML and 60% for tCMML. The median follow-up was 58 months, and the median OS and LFS for the entire cohort were 36 and 29 months, respectively. No differences in OS (36 vs 35 months, p=0.3) or LFS (29 vs 28 months, p=0.8) were observed between dnCMML and tCMML, However, when comparing by risk groups according to CPSS-Mol, patients with tCMML classified as intermediate-1 (Int-1) risk had a significant lower OS (38 vs 88 months, p=0.02) and LFS (38 vs 85 months, p=0.03), compared to Int-1 dnCMML (Figure 2). In a multivariate model for OS including CPSS-mol, tCMML stratified by type of therapy and age, patients with tCMML with a previous exposure to chemotherapy had a hazard ratio of 1.76 (1.07-2.89, p=0.03). Conclusion: Patients with tCMML have a higher proportion of chromosome 7 abnormalities and a lower incidence of NRAS and CBL mutations. Although responses to HMA were similar, patients with tCMML with a previous exposure to chemotherapy are associated with a lower survival, especially patients classified as CPSS-Mol intermediate-1.

Metabolic Syndrome Among Patients with Myelodysplastic Syndrome: A Population Analysis

Introduction: Metabolic syndrome (MS) comprises a cluster of cardiovascular risk factors, including central obesity, dysglycemia, elevated blood pressure (BP), increased triglyceride levels (HyperTG), and low HDL cholesterol levels. Epidemiologic and clinical data suggest that MS may be an important etiologic factor in the progression of certain cancer types. These studies have excluded patients with myelodysplastic syndromes (MDS), but MS may be relevant in these patients owing to the link between cardiovascular disease and MDS derived from clonal hematopoiesis. We conducted a population-based analysis to define the prevalence of MS and its components among patients with MDS and explore the effect of MS on MDS outcomes. Methods: We identified patients aged 66 and older diagnosed with MDS between 2007 and 2017 using the SEER-Medicare database. Preexisting MS was identified using ICD-9/10 codes in claims from at least 12 months before MDS diagnosis. MS was defined as the presence of 3 or more of the 5 MS components. MDS histologic risk was defined based on ICD-O-3 morphology codes. Transfusion dependence, defined as 2 or more transfusions within 8 weeks of MDS diagnosis date, and therapy with hypomethylating agents (HMA), lenalidomide and erythropoietin stimulating agents (ESA) were defined from HCPCS codes and prescription records. Other variables defined included age, sex, race/ethnicity, rurality (using RUCC codes), marital status, and socioeconomic status [SES] (using the Yost index). Descriptive statistics were used to define the frequency of MS and its components. MDS outcomes of interest were transformation to acute myeloid leukemia (AML), defined from ICD-9/10 codes for AML, and overall survival (OS), defined as the time between MDS diagnosis and death from any cause. Cox proportional hazards regression was used to determine the association between MS and AML transformation and OS, through adjusted hazard ratios (HR). Results: A total of 15,227 cases diagnosed with MDS between 2007 and 2017 were analyzed, including 3,402 (22.3%) with baseline MS. High BP was present in 72.2%, HyperTG in 47.8%, dysglycemia in 35.5%, central obesity in 4.6% and 0.5% had low HDL cholesterol. The prevalence of MS and the distribution of its components did not significantly differ based on MDS histologic risk (Table 1). The prevalence of hyperTG was notably higher in patients with MDS, especially in the high histologic risk category (50.4%). Compared to other MDS patients, those with preexisting MS were predominantly male (55.5% vs 53.3%, p=0.03) of non-White race (6.7% vs 4.8% non-Hispanic Black, p&amp;lt;0.01, and 2.1% vs 1.5% Hispanic, p&amp;lt;0.01), from urban/metropolitan areas (87.7% vs 86%, p=0.01) and lower SES quintiles 1 and 2 (34.2% vs 31.5%, p&amp;lt;0.01). In a model adjusting for age, sex, race/ethnicity, rurality, marital status, SES, MDS risk, transfusion dependence and MDS therapies (HMA, lenalidomide and ESA), baseline MS at the time of MDS diagnosis was not associated with a significant effect on the risk of AML transformation (HR=1.0, 95%CI 0.9-1.2) or the risk of death from any cause (HR=1.0, 95%CI 0.9-1.1) (Table 2). In models assessing the effect of MS subcomponents on MDS outcomes, high BP (HR=1.0, 95CI% 1.0-1.1) and obesity (HR=1.1, 95CI% 1.0-1.2) were associated with an increased risk of mortality. Obesity was also associated with an increased risk of transformation to AML (HR=1.3, 95CI% 1.0-1.6). Conclusions: The overall prevalence of MS among patients with MDS appears similar to that reported in the general population and does not differ based on the histologic risk category. The observed prevalence of HyperTG was higher than expected, particularly in high-risk MDS patients. Older males of non-White race from urban/metropolitan areas of lower SES are more likely affected across all groups. Though preexisting MS is present in an important proportion of MDS patients, it was not significantly associated with an increased risk of mortality or AML transformation after adjusting for confounders. Obesity was associated with higher mortality and linked to increased transformation to AML. Given recent data suggesting that statins may improve survival and decrease AML transformation in MDS, future studies should investigate the potential association between other metabolic parameters and MDS outcomes.

Common Pathways for Acute Myeloid Leukemia Progression in Systemic Mastocytosis with Associated Hematologic Neoplasm

Background: Mastocytosis is a heterogenous disease of mast cell (MC) clonal proliferation with pathologic accumulation in organ systems such as but not limited to skin, bone marrow, gastrointestinal tract, liver and spleen. Mast cells are CD34+, CD117+ (stem cell factor, KIT) with greater than 90% of people with mastocytosis harboring KIT D816V activating mutations which allows for increased proliferation and accumulation of neoplastic mast cells leading to downstream mast cell activation and intolerable symptoms. Advanced systemic mastocytosis (advSM) is categorized into three major subtypes, aggressive SM, MC leukemia and SM with an associated hematologic neoplasm (SM-AHN). SM-AHN is the most common advSM subtype accounting for about 75% of advSM cases and typically includes myeloid neoplasms such as MDS, CMML, or MPN. In most pts with SM-AHN, clinical symptoms is driven by the MC component and the goal of treatment with KIT inhibitors is to decrease the MC burden, thus improving quality of life and overall survival (Nat Med refs), However, the median survival of SM-AHN remains poor at 2-3.5 years with many pts transforming to advanced myeloid neoplasms especially an acute myeloid leukemia (AML). The use of next generation sequencing has helped to prognosticate patients with AdvSM. Patients with advSM typically exhibit multiple somatic mutations other than KIT D816V We describe the molecular signature of patients with SM-AHN who transformed to AML. Commonly involved genes are TET2, SRSF2, ASXL1, RUNX1, and CBL with inferior OS and adverse clinical characteristic associated with SRSF2/ ASXL1/ RUNX1 (S/A/R). To better prognosticate, Jawhar and colleagues introduced the MARS score. This incorporated molecular findings in AdvSM to help estimate overall survival which identified 3 risk categories (low, intermediate, and high). The overall survival in low, intermediate and high were not reached, 4.3 years, and 1.9 respectively for patients with AdvSM. While mutational findings in the MARS score can help prognosticate overall survival in these patients, the molecular footprint of progression or transformation to acute myeloid leukemia has not been established. We describe the molecular signature of patients with SM-AHN who transformed to AML. Methods: We analyzed 10 pts with SM-AHN who transformed to AML from 2000-2022. Of those patients, 7 were found to have full next generation sequencing at the time of initial consultation and transformation. These data were collected and descriptive analysis was performed. Results: We identified 7 pts with SM-AHN who progressed to AML. At SM-AHN diagnosis all pts had at least 2 additional co-mutations with a maximum of 7 co-mutations along with KIT D817V. The most common co-mutations were splicing factor mutations ( SRSF2 and SF3B1), TET2, RASEZH2, CUX1 and CBL. Six of the seven received treatment for SM-AHN. These patients received treatment with multikinase inhibitors or hypomethylating agents. The acquired driver mutations were NPM1, FLT3-ITD, RUNX1, and RAS pathway. In patient 1, a new FLT3-ITD and RUNX1 was acquired with an increased VAF of a RAS pathway mutation ( PTPN1) which was originally present in the SM-AHN diagnosis. Patient 3 also developed a new RUNX1 mutation at AML transformation. Patients 4 and 5 had new NPM1 mutations and patients 6 and 7 had a new RAS pathway mutations . Patient 2 acquired new BCOR, RIT1 and CBL mutations. Upon transformation to AML, 5/7 patients had resolution or a decrease of greater than 10% of KIT D816V VAF. One of the seven had no change in KIT D816V VAF at the time of transformation, this was also the only patient to receive no prior therapy. Only 1/7 had a VAF increase of greater than 20% in KIT D817V at transformation. The MARS score was calculated at the time of diagnosis of SM-AHN which showed that only 4 of 7 had a high MARS score. Time from SM-AHN diagnosis to AML progression ranged from 4-31 months. Survival was calculated from time of SM-AHN diagnosis to death which ranged from 6-47 months. Conclusion: Acquisition of known AML driver mutations (RAS, RUNX1, NPM1, FLT3-ITD) are commonly found in SM-AHN patients at time of progression to AML. The MARS score calculated in our patients did not correlate with time to transition to AML.

Early Efficacy of IST in Combination with Hetrombopag and Rhtpo As First-Line Treatment for Naïve Severe Aplastic Anemia

BACKGROUND: Immunosuppressive therapy (IST) (anti-thymocyte immunoglobulin (ATG) and cyclosporine (CSA)) is the treatment of choice for patients with acquired severe aplastic anemia (SAA) who are ineligible for hematopoietic stem cell transplantation (HSCT), which results in a hematological response (HR) in about 60-70% of SAA patients. TPO is a hepatic-secreted hematopoietic growth factor that specifically regulates platelet production, induces hematopoietic stem cell differentiation to megakaryocytes by binding to the TPO receptor (MPL), stimulates megakaryocyte proliferation and differentiation, and promotes platelet production and release. Several previous studies have shown that IST combined with rhTPO or hetrombopag can improve the early hematologic response of SAA patients, especially the proportion of good hematologic response (good HR) in the early stage. RhTPO and TPORA have different binding sites with thrombopoietin receptor (c-MPL) and do not have competitive binding, which may produce synergistic effect. A retrospective study showed that eltrombopag combined with rhTPO increased the IST HR and improved the quality of hematologic remission in SAA with mild adverse effects. Therefore the combination of TPORA and rhTPO in SAA patients undergoing IST treatment may result in faster and higher HR rates. Clinical studies have confirmed that hetrombopag, act similarly to eltrombopag in SAA, but there are no clinical studies of hetrombopag in combination with rhTPO in SAA. OBJECTIVE: To evaluate the early-efficacy and safety profile of IST in combination with hetrombopag, and rhTPO in patients with primary, severe aplastic anemia. METHODS: This study was designed for patients with primary aplastic anemia major aged 14-70 years after January 2023 from a single center. This group were planned to be get treat of IST combination with rhTPO 15000U/d for 8 weeks from the first day of ATG and hetrombopag 15mg/d for at least 6 months. The primary endpoint was to observe the good response rate, blood product transfusion and safety profile of the study regimen for the treatment of primary SAA for 3 months. Efficacy Criteria：Complete response (CR): HGB&amp;gt;100 g/L, PLT&amp;gt; 100×10 9/L and ANC&amp;gt;1.5×10 9/L; ② Good partial response (GPR): HGB&amp;gt;80g/L, PLT&amp;gt; 50×10 9/L and ANC&amp;gt;1.0×10 9/L; ③ Partial response (PR): withdrawal from blood product transfusion dependence (HGB&amp;gt;70g/L, PLT&amp;gt; 20×10 9/L), hematologic tests improved and no longer met the SAA criteria, but blood count did not meet the GPR criteria. ④No response to treatment (NR): Continuous transfusion dependency was classified as no response. and/or blood count still met SAA criteria. We defined CR+GPR+PR as HR and CR+GPR as good HR. RESULTS: The trial group proposes to enroll 39 patients and currently includes 8 patients who can be evaluated for 3-month efficacy of IST treatment. And the control group includes two groups of IST combined rhTPO group and IST combined HPAG group in our previous center, and the cohort study of the results of the three groups. In this study, the HR rate of 8 patients can be assessed at present as 75% (6/8), and the rate of good HR was 50% (4/8). The HR of 33 patients in the control IST+rhTPO group was 66.67% (22/33), and the rate of good HR was 36.4% (12/33); the HR rate of 32 patients in the control IST+HPAG group was 46.9% (15/32), and the rate of good HR was 21.9%. The HR rate and good HR rate of the trial group were higher than those of the IST+rhTPO group and the IST+HPAG group (75%v66.67%v46.9%; 50%v36.4%v21.9%). None of the 8 patients enrolled in the trial group had any transformation of myelofibrosis, myelodysplastic syndrome and acute myeloid leukemia during the follow-up period. CONCLUSION: HR was obtained at 3 months in 6 of the 8 patients with severe remodeling IST+rhTPO+ hetrombopag in this study, with a good HR rate of 50%, which is the highest good efficacy response we know of in a prospective study of Chinese SAA patients to date. This confirms that rhTPO combined with hetrombopag can synergize the recovery of bone marrow hematopoietic function in SAA patients treated with IST, and its clinical effect is superior to that of various TPO-Ras or rhTPO that have been widely used. It is expected that more cases will be included in the later stages and that better results will be obtained. 【Keywords】severe aplastic anemia; recombinant human thrombopoietin; hetrombopag ; immunosuppression treatment.

Cellular Interactions within Clonal Dendritic Cell Aggregates Drive Immune Tolerance in Chronic Myelomonocytic Leukemia Bone Marrow Microenvironment

Introduction: Clonal dendritic cell (DC) aggregates in chronic myelomonocytic leukemia (CMML) are seen in approximately 20-30% patients at diagnosis. Previously, these were thought to be comprised of CD123+ plasmacytoid DCs but our data has suggested that these are heterogenous and comprise of myeloid DCs, monocytes, and myeloid-derived suppressor cells. Furthermore, these aggregates uniformly express immune checkpoints such as indoleamine 2,3-dioxygenase-1 (IDO), associate with an IDO-specific systemic impact (increased trytophan catabolism), and expanded regulatory T cell population in CMML, suggesting a role in inducing immune tolerance. DC aggregates are also associated with increased risk of acute myeloid leukemia (AML) transformation and resistance to hypomethylating agents, highlighting that they are important for disease progression in CMML (Mangaonkar A et al. Blood Adv 2020). We performed this study to decipher the architecture of a CMML DC aggregate to understand the complex inter-cellular interactions, and assess their impact on the adaptive immune system. Methods: In this study, we used archival fresh-frozen paraffin-embedded (FFPE) bone marrow biopsy specimens obtained from CMML patients, and isolated monocytes (CD14+ magnetic bead sorting) and lymphocytes (CD14-ve fraction) from untreated CMML and age-matched normal control (NC) peripheral blood mononuclear cells (PBMCs). DCs were cultured from monocytes using a commercial protocol. Spatial architecture of the CMML BM microenvironment was interrogated through multiplex imaging of FFPE samples by co-detection by indexing (CODEX) using 30 markers (CCR6, CD107a, CD11c, CD20, CD21, CD31, CD3e, CD4, CD44, CD45, CD45RO CD56, CD68, CD8, E-Cadherin, FoxP3, HLA-DR, CD14, CD16, CD11b, CD33, CD15, CD66b, CD123, CD303, CD34, CD163 and IDO). Single-cell transcriptomic signatures were analyzed using the 10X single cell Fixed RNA profiling platform, and validated using bulk RNA seq (Illumina stranded mRNA prep) from isolated and cultured cells. Impact of DCs on lymphocytes was assessed via autologous mixed DC-T culture experiments. Results: BM FFPE samples from 5 CMML cases (3 with DC aggregates) were included for multiplex imaging via CODEX. Results confirm the significant interactions of CD8+ and CD4+ T cells with CD123+/HLA-DR+ DCs within a CMML DC aggregate (Fig. 1A). Upon quantitative assessment of cell-cell interactions, IDO+/CD8+T ( P=0.006), IDO+/MDSC ( P=0.005), and IDO+/macrophage ( P=0.001) interactions were significantly increased in CMML samples with versus without DC aggregates . Specific findings were validated using single-stain immunohistochemistry and multiplex immunoflourescence staining. Next, in order to assess transcriptomic signatures within BM at the single-cell level, we chose two cases; CMML (BM aspirate blast% 1, WBC 49.6 x 10 9/L, ASXL1/GATA2/SETBP1/SRSF2 mutations) and AML transformed from CMML (BM aspirate blast% 81, WBC 152 x 10 9/L, NPM1/DNMT3A/TET2 mutations). Approximately, 10,000 cells were obtained and analyzed with cell type annotation through human PBMC reference (Azimuth). Results show an expanded regulatory T cell population in AML compared to CMML (UMAP plot, Fig. 1B), suggestive of immune tolerance. In order to validate findings and perform functional experiments, we used sorted monocytes and cutured DCs from CMML and NC. DC phenotype was confirmed both through visual inspection and flow cytometry, and clonality was confirmed through Sanger sequencing (for previously identified mutations). Differential gene expression analysis through bulk RNAseq showed significant differences between CMML and NC lymphocytes with immunoinhibitory receptor, LILRB2 (log2fold change=7.05, adjusted P=0.0002) being one of the top five significantly upregulated genes, further confirming immune tolerance. Finally, mixed autologous DC-lymphocyte reaction (1:4 ratio) experiments demonstrated that DCs induce T cell tolerance in CMML (expansion of exhausted PD1/TIM3/LAG3+ CD8 T cells) when compared to NC. Conclusion: Clonal dendritic cell aggregates within the CMML bone marrow microenviroment interact with T cells and induce immune tolerance. This represents a novel mechanism of disease progression in CMML with potential therapeutic targets (IDO, LILRB2, and/or CD123).

Utilization Patterns and Outcomes from Iron Chelation in Elderly Patients with Low-Risk Myelodysplastic Syndrome

Introduction: Iron overload from red blood cell (RBC) transfusions is a source of morbidity and mortality in patients with myelodysplastic syndromes (MDS). Evidence supporting iron chelation therapy (ICT) in Low-Risk MDS (LR-MDS) is controversial on account of studies conducted in highly selected patients and limited clinical trial data. We conducted a large population analysis aimed at defining real-world ICT utilization in LR-MDS and associated outcomes. Methods: We included patients diagnosed with MDS from 2007 to 2017 in SEER-Medicare using ICD-O-3 codes, aged 66 or older, with continuous Medicare parts A, B, and D. Exclusion criteria included patients with high-risk histology (MDS with excess blasts), less than 2-year survival, without complete follow-up, or enrolled in HMO. ICT eligibility was defined as ICD-9/10 codes for transfusion-related iron overload and/or cumulative ≥20 RBC units within ≤2 years of MDS diagnosis. ICT was identified from HCPCS codes for deferoxamine or prescription records for deferasirox or deferiprone. Explanatory variables included age, sex, race, rurality, socioeconomic quintile, marital status, geographic region, MDS histologic subtype, year of diagnosis, Charlson comorbidity index (CCI), and MDS therapies, including erythropoietin-stimulating agents (ESA), hypomethylating agents (HMA), and lenalidomide, identified from HCPCS codes and prescription records. Outcomes were identified through validated algorithms using ICD-9/10 codes and included overall survival (OS), progression to acute myeloid leukemia (AML), and complications related to iron overload, comprising heart failure, non-ischemic heart disease, atrial fibrillation/flutter, and liver disease/cirrhosis. To control for confounding, we implemented 3 approaches: multivariable Cox-proportional hazards regression, propensity score matching (PSM) by conditional probability of receiving ICT, and cause-specific regression with competing risk of death. Results: We analyzed 2,564 LR-MDS patients who were eligible for ICT. The mean ± SD age was 81 ± 6 years and 56.2% were male. Only 393 (15.3%) of these patients received ICT. The initial agent of choice was deferasirox in 203 (51.7%), deferoxamine in 188 (47.8%), and deferiprone in 2 (0.5%). Median ICT duration was 7 months (IQR 1-20). Chelated patients were younger (median age 79 vs 81, p&amp;lt;0.01), more likely to have histology with ringed sideroblasts [RS] (17.8% vs 7%, p&amp;lt;0.01), had less comorbid burden (median CCI 1 vs 2, p&amp;lt;0.01), and were more frequently treated with ESA (42.8% vs 33%, p&amp;lt;0.01), HMA (59% vs 49.8%), and lenalidomide (27% vs 11.1%, p&amp;lt;0.01), than those not treated with ICT. Their median monthly RBC transfusion density was 4 (IQR 2-6). Factors predicting ICT use were histology with RS (OR=1.9, 95%CI 1.4 - 3.8), RBC transfusion density (OR=1.1 per 4 units/month, 95%CI 1.1-1.2), and therapy with ESA (OR=1.5, 95%CI 1.2-1.9), HMA (OR=1.3, 95%CI 1.1-1.8), or lenalidomide (OR=2.6, 95%CI 1.9-3.5). Among patients who received ICT, 352 (89.6%) were considered transfusion dependent (≥2 RBC units within 8 weeks before starting ICT). Of them, 278 (78.9%) achieved hematologic response (≥50% decrease in RBC units following ICT). ICT was associated with decreased risk of death (HR=0.52, 95%CI 0.46-0.59) in the multivariable model adjusting for all listed covariates. The PSM matched 379 chelated (96.4% case rate) with 729 non-chelated patients and yielded similar results for OS benefit from ICT (HR=0.53, 95%CI 0.46-0.61). Table 1 shows results for other outcomes. Across models, ICT was associated with 43-49% decreased risk of AML transformation and 23-32% reduced risk of adverse cardiac outcomes. Cardiac benefit was predominantly driven by a lower risk of heart failure. No significant association was observed between ICT and hepatic outcomes. Conclusions: Our results suggest that ICT is associated with fewer transfusions, improved OS, lower risk of AML, and less adverse cardiac outcomes in LR-MDS. Our older, unselected cohort better reflects real-world LR-MDS patients and builds upon OS benefit reported in more restricting settings. Given the link between clonal hematopoiesis, cardiovascular disease and LR-MDS, defining ICT's effect on molecular and clonal dynamics could clarify the mechanism behind improved cardiac outcomes.

Establishing a Pathogenic Role for NK Cells As Drivers of Bone Marrow Failure in the Myelodysplastic Syndromes (MDS)

Background: Myelodysplastic syndromes (MDS) are characterized by aberrant bone-marrow (BM) morphology leading to a clonal impairment of hematopoiesis. Worsening BM failure (BMF) and increasing myeloblasts are observed as the predominant consequences of MDS disease progression from very low risk (VLR) to higher risk (HR) to acute myeloid leukemia (AML). Patients are stratified based on the degree of BMF and risk of AML transformation to help guide treatment decisions. Approximately 30% of MDS patients exhibit various autoimmune diseases that can include autoantibodies targeting neutrophils, erythrocytes, and/or platelets. Autoimmune phenomena play an important role in MDS yet are poorly characterized. We hypothesized that early in LR-MDS, dysregulated interactions between stromal cells and developing Natural Killer (NK)/T-cells promote rapid/unregulated development resulting in autoreactivity ( Fig. 1A). We predict dual effector mechanisms: CD16-mediated antibody-dependent cellular cytotoxicity (ADCC) and loss of HLA class I (HLA-I) expression by developing hematopoietic lineage cells making them targets for “missing-self” reactivity ( Fig. 1A). NK cells are important sentinel cells that recognize tumors and dysfunctional cells that lose expression of HLA class I. Such surveillance is guided by interactions between NK inhibitory receptors and HLA class I ligands that ‘train’ NK cells to distinguish diseased cells, exhibiting perturbed HLA expression, from healthy cells with normal expression. The effects of these interactions combined with expression of activating receptors (e.g. CD16, NKG2D, DNAM1, FasL, TRAIL) allow NK cells to engage a target cell through many activating mechanisms, importantly including antibodies eliciting an antibody-dependent cellular cytotoxicity (ADCC) reaction. Autoantibodies are well-established in MDS, yet no one has profiled whether they may trigger ADCC/complement. Further, no one has ever thoroughly characterized BMMCs from LR-MDS patients before. In our study, we observed a clear link between signatures of bone marrow failure at LR-MDS and a significant increase in BM CD57+NK and CD8 T cells expressing a highly activated and dysregulated phenotype. Method: Ex-vivo profiling of 19 MDS patients (N=10 LR/IR-MDS, N=9 HR-MDS) BM mononuclear cells (BMMCs) was performed by mass cytometry (CyTOF)( Fig.1B). Cells were stained with three different antibody panels each consisting of 44 antibodies focused on: specific markers of hematopoiesis and myeloid or lymphoid cell lineages; specific markers of development, effector function, homing, exhaustion, and T-cell memory and proliferation; expression of HLA class I and activating ligands which are critical regulators of NK inhibition. Results: In our study we observed that a major fraction of MDS patients present with clonal-like expansions of BM-derived CD57+CD8+T-cells and natural killer (NK) cells that strongly correlate with autoimmune-cytopenias and BMF-enriched in LR-MDS (Fig.#). We observed that NK-cells and non-classical T-cells were significantly expanded (&amp;gt;2-fold) in LR MDS compared to HR-MDS and healthy-control BM (p&amp;lt;0.01). These non-classical CD57+CD8+T-cells co-expressed HLA-I-reactive and inhibitory NKG2A/KIR receptors as well as activating CD16, NKG2C, NKG2D, NKp46, TRAIL, FasL. In cancers, these cells use innate-like, TCR-independent mechanisms (traditionally ascribed to NK-cells) to target HLA-I-deficient tumor cells. Strikingly, HLA-I was significantly elevated on myeloblasts in LR-MDS compared to HR-MDS (p=0.0007)( Fig.1B), demonstrating NK-evasion strategies, but strongly reduced on dendritic cells, granulocytes, and CD4+T-cells, suggesting susceptible immune targets for destruction by NK-cells (and innate-like CD8+T-cells) (p&amp;lt; 0.0001) ( Fig.1B). BM-derived CD57+NK and CD8+T-cells all co-express very high levels of CD16 making them particularly ADCC reactive. Conclusion: We identified novel innate-like CD8+CD57+ T-cell and NK-cell populations that may play a role in LR-MDS disease pathogenesis. We predict that a strategy to target these cells could help restore hematopoiesis early in the disease state. This may also reduce pressure on myeloblasts to increase HLA-I, permitting improved immune surveillance to control the blast burden and prevention MDS/AML progression. Further experiments are ongoing to validate our observations.

Distinct Role of STAT3 and STAT5 Factors in MDS and AML

Introduction: Myelodysplastic Syndrome (MDS) refers to a heterogeneous group of clonal hematologic disorders characterized by hematopoietic dysfunctions and impaired differentiation in the hematopoietic stem and progenitor cells compartment. MDS is commonly referred to as a pre-leukemic stage due to the increased risk of progression to Acute Myeloid Leukemia (AML). AML is an aggressive hematologic malignancy characterized by the accumulation of immature myeloblasts in the bone marrow and the peripheral blood. Signal transducers and activators of transcription 3 and 5 (STAT3 and STAT5) are important regulators of several cellular processes including cell proliferation and survival. Abnormal STAT3 and STAT5 signaling has been implicated in various solid and hematologic malignancies, including MDS and AML, which renders them appealing targets for the development of novel therapeutic strategies. Materials: STAT3, STAT5A or STAT5B knock-downs have been generated in two AML (MOLM-13 and Kasumi-1) and two MDS (MDS92 and MDS-L, gift of Prof. Kaoru Tohyama) cell lines, using shRNAs through lenti-viral delivery. The 4 biological replicates with the highest levels of knock-downs for STAT5A, STAT5B or STAT3 have been selected for each cell line and mRNA sequencing has been performed. To define the genome-wide binding of STAT5A, STAT5B and STAT3 in the two conditions, CUT&amp;Tag has been performed in wild type MOLM-13, Kasumi-1 and MDS-L cells. Additionally, ATAC sequencing has been carried out in the same cell lines to investigate the chromatin conformation changes between the two conditions. Furthermore, STAT3, STAT5A and STAT5B knock-downs have been conducted using shRNAs through lenti-viral delivery in CD34+ enriched cells, isolated from bone marrow mononuclear cells of 14 high-risk MDS patients and 14 secondary (MDS-related) AML patients. The samples have been processed for mRNA-Sequencing to model the leukemic transformation in primary human cells. Results: To elucidate the role of STAT3 and STAT5 in MDS to AML transformation, changes in STAT3 and STAT5 target gene networks have been identified. mRNA sequencing data from STAT3, STAT5A or STAT5B knock-downs in MDS and AML cell lines revealed a distinct role of the three factors in each state. The differential binding of each factor, explored through CUT&amp;Tag, and the gene expression profiles in MDS and AML reciprocally reveal a different function of each factor, including pathways involved in cell cycle and apoptosis. Also, the direct and indirect target genes of STAT3, STAT5A and STAT5B in each condition, as well as a possible interplay between STAT3 and STAT5 activation in AML has been uncovered. The exploration of the chromatin accessibility landscapes between the MDS and AML conditions through ATAC sequencing has provided an insight into the chromatin conformation states, unveiling potential leukemia promoting networks, as well as the involvement of STAT3 and STAT5 pathways in the malignant transformation. Furthermore, a potential cross talk of STAT3 and STAT5 factors with the IKAROS family members, has been linked to AML transformation, as significant differential regulation has been detected between MDS and AML conditions after knock-down of STAT5A and STAT5B. The results are currently validated in primary hematopoietic cells of MDS and AML patients after STAT3, STAT5A or STAT5B knock-downs. Conclusions: Our results show a different role between the two STAT5 factors (STAT5A and STAT5B) in MDS and AML conditions and delineate the role of STAT5A, STAT5B and STAT3 factors and their target gene networks in leukemic transformation, thus providing novel targets for therapeutic management of MSD and AML. Funding: This project is funded by the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 813091 (ARCH)

TP53 Y220C Mutations in Patients with Myeloid Malignancies

Background: TP53 gene mutations lead to inactivation of the protein p53, causing genome instability, oncogenesis, and treatment resistance conferring an unfavorable prognosis. TP53 Y220C missense mutations in exon 6 (p.659A&amp;gt;G) are described as a frequent ‘hot spot’ mutation in solid tumors. A novel Y220C-targeted small molecule (PC14586) has shown preliminary efficacy and safety in patients with solid tumors (Dumbrava, E., ASCO 2022). No data has been reported about TP53 Y220C in hematologic malignancies to date. We set out to evaluate the clinicopathologic characteristics of TP53 Y220C in hematologic malignancies and particularly, myeloid neoplasms. Methods: We identified all patients with hematologic neoplasms with TP53 Y220C mutations at University of Texas MD Anderson Cancer Center and Memorial Sloan-Kettering Cancer Center, detected by standard next generation sequencing assays, and focused on patients with myeloid malignancies; summarizing the patient characteristics, disease features and outcomes for patients with this specific TP53 mutation. Overall survival (OS) was assessed by the Kaplan-Meier method from date of diagnosis to date of death from any cause or date of last follow-up. Leukemia-free survival (LFS) was calculated from time to diagnosis of TP53 Y220C mutated myelodysplastic syndrome (MDS) to date of transformation to acute myeloid leukemia (AML) or death. Survival analysis was conducted only for newly diagnosed patients with available follow-up data. Results: We identified 143 patients (pts) with hematologic malignancies harboring a TP53 Y220C mutation. MDS and AML were the most frequent diagnoses (MDS, n=66; AML, n=48). Median age was 69 years (range, 32-92) and 56% of patients were male (Table 1). We then analyzed in more detail patients with MNs, including CHIP/CCUS, MDS, AML and MDS/MPN. Among those, in 76 (64%) pts the TP53 Y220C mutation was detected at initial diagnosis and in 43 (36%) pts, TP53 Y220C was identified in the relapsed/refractory setting. Therapy-related myeloid neoplasms (MNs) accounted for 51 of 119 pts (41%). Complex karyotype was frequent (n=88/119, 74%) in the setting of TP53 Y220C. Median TP53 Y220C variant allele frequency (VAF) was 32% (range, 1%-96%). Eighty-two patients (69%) had additional co-mutations: 24 (20%) pts had additional (non-Y220C) TP53 mutations only; 34 (29%) pts had only non- TP53 co-mutations (most frequently DNMT3A and TET2) and 24 (20%) pts had additional TP53 mutations in the setting of other co-mutations. With a median follow-up of 9 months, median OS for patients with newly diagnosed TP53 Y220C MDS (n=39) and AML (n=23) was 13.1 months (95% CI, 7.6 to 18.7) and 8 months (95% CI, 5.6 to 13.4), respectively ( p=0.06) (Figure 2). For the TP53 Y220C MDS cohort, AML transformation occurred in 13 (33%) patients, after a median of 14.3 months. Median LFS for these patients was 12.2 months (95% CI, 7.9 to 16.5). Modest and non-statistically significant differences in median LFS for MDS patients who did and did not receive stem cell transplant (SCT) were identified; MDS+SCT (n=12) 14.5 months (95% CI, 4 to 25) vs MDS+no-SCT (n=27) 9.3 months (95% CI, 4.6 to 14), p=0.18. Interestingly, four patients diagnosed with TP53 Y220C mutated CHIP/CCUS with a median VAF of 2% were identified, and with a median follow-up of 34.6 months, none have developed dysplastic changes or progression to MDS or AML at the time of cut off. Additional outcomes data will be forthcoming in the analysis of this cohort of patients with TP53 Y220C mutated myeloid neoplasms. Conclusions: TP53 Y220C mutations are present in malignant blood disorders and are particularly more common in myelodysplastic syndromes and acute myeloid leukemia, with associated poor outcomes. Novel targeted therapies for this TP53 variant (Y220C) would be of interest for this patient population.

Efficacy and Safety of Venetoclax in Combination with Azacitidine for the Treatment of Patients with Treatment-Naive, Higher-Risk Myelodysplastic Syndromes

Introduction: Azacitidine (Aza) has been shown to prolong survival in patients with treatment-naive, higher-risk myelodysplastic syndrome (HR MDS) compared to lower-intensity, conventional treatment regimens; however, improvement in clinical outcomes are needed. Clinical data on the synergy of Aza with venetoclax (Ven)-a selective, potent BCL-2 inhibitor-in the treatment of myeloid malignancies and the unmet need in HR MDS provide a rationale to evaluate Ven in combination with Aza in treatment-naive HR MDS. Here, we report efficacy and safety data in patients with treatment-naive HR MDS treated with Ven+Aza at the recommended Phase 2 dose (RP2D) in the safety expansion part of the Phase 1b study (NCT02942290). Methods: Adult patients were enrolled with de novo treatment-naive HR MDS defined by the Revised International Prognostic Scoring System (IPSS-R) score of &amp;gt;3 with an Eastern Cooperative Oncology Group performance status of ≤2, and bone marrow (BM) blasts &amp;lt;20% at baseline. Patients received Ven 400 mg orally daily on Days 1-14 and Aza 75 mg/m 2 intravenously or subcutaneously on Days 1-7 or on Days 1-5, 8, and 9 of each 28-day cycle (RP2D). The primary objective was to assess the complete remission (CR) rate. Key secondary objectives included determining marrow CR (mCR), overall response rate (ORR), hematologic improvement (HI), postbaseline red blood cell (RBC) and platelet transfusion independence (TI), overall survival (OS), duration of CR, time to next treatment (TTNT), transformation to acute myeloid leukemia (AML), and time to AML transformation. Responses were assessed by International Working Group 2006 criteria. Prophylactic antibiotics were mandated in Cycle 1 and recommended for Grade ≥3 neutropenia thereafter. Safety was analyzed in patients who received ≥1 dose of study treatment. Results: At thedata cutoff of May 31, 2023, 107 patients had received Ven+Aza at the RP2D. Key baseline characteristics for all treated patients are shown in Table 1A. Median age was 68 years (range, 26-87), 64% of patients had intermediate or poor cytogenetic risk, and &amp;gt;89% had ≥5% BM blasts. Median number of treatment cycles before transplantation was 3.0 (range, 1.0-11.0). At the median follow-up of 31.9 months (95% CI, 30.4-42.5), CR rate was 29.9% (95% CI, 21.4-39.5), with a median CR duration of 16.6 months (95% CI, 10.0-not reached [NR], Table 1B). Median OS was 26 months (95% CI, 18.1-51.5), with an estimated 12-month OS of 71.2% (95% CI, 61.4-78.9)and 24-month OS of 51.3% (95% CI, 41.2-60.5). Median OS for CR was NR. Median TTNT including transplantation was 6.8 months (95% CI, 5.6-8.3). Sixty-two (57.9%) patients received subsequent treatment, including transplantation in 42 (39.3%) patients; the median time to transplantation was 4.8 months (range, 1.4-16.8). Among patients who received transplantation post-study, 17 were transplant ineligible at study entry. Postbaseline TI rate was 61.7% for RBC and 72.0% for platelets. Median maximal duration of TI achieved was 5.4 months (range, 1.8-50.8) and 5.4 months (range, 1.9-56.0) for RBC and platelets, respectively. Postbaseline overall hematologic improvement (HI) was achieved in 51 (49.0%) of 104 evaluable patients, and specific responses included erythroid (40/93; 43.0%), platelet (32/74; 43.2%) and neutrophil (10/57; 17.5%) indices. All patients experienced ≥1 treatment-emergent adverse event (TEAE), with 94.4% of patients reporting grade ≥3 TEAEs. Serious adverse events (SAEs) occurred in 68.2% of patients. Common TEAEs of any grade were constipation (53.3%), nausea (49.5%), neutropenia (48.6%), thrombocytopenia (44.9%), febrile neutropenia (42.1%), diarrhea (41.1%), anemia (39.3%), vomiting (36.4%), and hypokalemia (26.2%). Grade ≥3 TEAEs reported in ≥20% of patients were neutropenia (48.6%), thrombocytopenia (43.0%), febrile neutropenia (42.1%), and anemia (34.6%). Infections were reported in 57% of patients, including SAEs in 40.2% of patients. Of the 59 deaths (55.1%) reported, 23 (21.5%) were due to disease progression and 7 (6.5%) to adverse events. Within 60 days after study start, 7 deaths (6.5%) were reported. Conclusion: Ven 400 mg for 14 days plus Aza combination was well tolerated with favorable responses of CR+PR+mCR in &amp;gt;80% and HI in nearly 50% of patients with treatment-naïve HR MDS. A separate Phase 3 study of this combination is ongoing to confirm survival benefit.