Abstract 1170: Decitabine (DAC) induces a DNA damage response (DDR) and synergizes with replication checkpoint inhibitors in acute myeloid leukemia (AML)
Abstract DAC combinations serve as frontline therapies for AML. DAC forms DNA-DNMT1 crosslinks and activates the ATR-CHK1-WEE1 DDR. Combinations of DNA-protein crosslinking agents with ATR, CHK1, or WEE1 inhibitors (i) have shown efficacy in solid tumors. This study evaluates the cytotoxic synergy of DAC plus ATRi, CHK1i, or WEE1i in AML. Public datasets were queried for mRNA expression and dependency. Commercial cell lines (U937, KG1a, Molm13, MV-4-11) were genomically validated. Molm13 TP53-/- clones were generated via CRISPR. Cells were cultured in complete RPMI. To treat, cells were cultured for 48 h in RPMI with drugs or diluent (0.2% v/v DMSO). Protein expression was evaluated by Western blotting (WB). Apoptosis was assayed by flow cytometry with annexin V or propidium iodide. Primary AML samples were obtained at study centers after informed consent. Isolated mononuclear cells (Ficoll) were used in colony forming unit (CFU) assays with DMSO or drug for 12-16 days. Synergy was determined by median-effect (CalcuSyn) where a combination index <1 is synergistic and >1 antagonistic. DNMT1 expression (TCGA) was highest in AML vs all other tumor types (p<0.001). In CRISPR screens (DepMap), AML cell lines were increasingly dependent on DNMT1, ATR, CHK1, and WEE1 (ANOVA p<0.001). WB of AML cell lines treated with DAC (25 - 200 nM) for 24 h showed phosphorylations of H2AX and CHK1 S296/S345 that were most pronounced in TP53MT lines. In apoptosis assays, ATRi, CHK1i, and WEE1i were synergistic with clinical concentrations of DAC (Table 1). In isogenic Molm13 lines, TP53 loss conferred DAC resistance that was overcome with combination treatment. Selective CHK1i were generally more synergistic than CHK1/2i, consistent with a CHK1 DDR. CFU assays of primary AML samples also showed synergy between DAC and ATRi, CHK1i, and especially WEE1i. Table 1. Synergy between decitabine and replication checkpoint inhibitors in preclinical models of AML. Cell line data are derived from subdiploid apoptosis assays. U937 data were replicated using annexin V. Prexasertib showed no activity in KG1a cells (suggesting drug efflux) requiring the use of the alternate CHK1 inhibitor, rabusertib. Abbreviations: ATR, ataxia telangiectasia and Rad3 related; CHK1/2, checkpoint kinase 1 and/or 2; CI, combination index; Conc, concentration; DNMT1, DNA methylatransferase 1; IQR, interquartile range; MT, mutated; ND, not determined; SD, standard deviation; WT, wild type. Drug Target Conc. (nM) Molm13 (TP53WT) Molm13 (TP53-/-) U937 (TP53G187fs*/-) KG1a (TP53V225fs*/-) Primary AML (TP53WT orTP53MT) Units Decitabine DNMT1 6.25 – 200 25 ± 11 350 ± 260 310 ± 180 6.1 ± 1.6 ND EC50, nM (mean, SD) Ceralasertib ATR 250 – 500 0.93 (0.66 – 1.24) 0.90 (0.84 – 0.96) 0.15 (0.08 – 0.21) 0.74 (0.63 – 1.02) 0.66 (0.43 – 2.43) CI with decitabine (median, IQR) Camonsertib ATR 10 – 100 0.27 (0.19 – 0.59) 0.24 (0.22 – 0.34) 0.34 (0.21 – 0.39) ND ND Prexasertib CHK1/2 1.0 – 6.0 0.89 (0.82 – 1.06) 0.78 (0.68 – 0.90) 0.95 (0.93 – 1.08) ND 0.88 (0.29 – 1.28) MK-8776 CHK1 250 – 1, 000 0.57 (0.48 – 0.80) 0.76 (0.73 – 1.19) 0.89 (0.57 – 1.39) ND ND Rabusertib CHK1 600 – 1, 000 ND ND ND 0.51 (0.48 – 0.56) ND Adavosertib WEE1 100 – 400 0.70 (0.63 – 1.11) 0.99 (0.78 – 1.14) 0.67 (0.60 – 0.74) 0.67 (0.37 – 0.93) 0.65 (0.43 – 0.88) DAC synergizes with ATRi, CHK1i, and WEE1i in AML. Future work will test these combinations in vivo and incorporate BH3 mimetics. Citation Format: Clifford M. Csizmar, Antoine N. Saliba, Olivia K. Rossman, Kevin L. Peterson, X. Wei Meng, B. Douglas Smith, Gabriel Ghiaur, Jonathan A. Webster, Mrinal M. Patnaik, Aref Al-Kali, Scott H. Kaufmann. Decitabine (DAC) induces a DNA damage response (DDR) and synergizes with replication checkpoint inhibitors in acute myeloid leukemia (AML) [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 1170.
Evidence-based risk stratification of myeloid neoplasms harboring
TP53
mutations
Abstract This retrospective analysis aimed to provide evidence-based risk stratification of TP53-mutated (TP53mut) myeloid neoplasms (MNs). Of 580 MNs harboring TP53mut with variant allele frequency (VAF) ≥2%, 219 (37.8%), 194 (33.4%), 92 (15.9%), and 75 (12.9%) were classified as acute myeloid leukemia (AML), myelodysplastic syndrome (MDS) with low blasts (MDS-LB), MDS with excess blasts (MDS-EB)-2, and -EB1 according to the revised fourth edition of the World Health Organization (WHO) classification, respectively. Hierarchical analysis identified the following 4 risk groups with distinct survival: (1) MDS-LB, (2) MDS-EB1/EB2/AML VAF <10%, (3) MDS-EB1/EB2 VAF ≥10%, and (4) AML VAF ≥10%. We next evaluated the impact of allelic status, VAF, and complex karyotype (CK). In our cohort, the significance of biallelic status was limited to MDS with <5% blasts and not for blasts 5% to 9%, as proposed by the International Consensus Classification (ICC), or 5% to 19%, as proposed by the fifth edition of the WHO (WHO-5). MDS-EB1 and -EB2 with VAF ≥10% had comparable survival (9.6 vs 7.2 months; P = .12), regardless of allelic status. Contrary to the ICC proposal, MDS-EB1/EB2 with VAF <10% and CK had poor survival compared with those without CK, comparable to MDS-EB1/EB2 with VAF ≥10% (5.6 vs 26.2 vs 6.3 months; P = .003). Survival of TP53mut AML was poor (median 3.9 months) regardless of allelic/CK status. Thus, using ICC or WHO-5 may underestimate prognosis of MDS with blasts 5% to 19% and 5% to 9%, respectively. Collectively, the hierarchical model acknowledges poor survival of 91.9% TP53mut MDS and AML compared with 36.5% and 80.7% by WHO-5 and ICC, respectively.
Multihit TP53 Mutations in Myeloproliferative Neoplasms and Acute Myeloid Leukemia: Comparative Analysis of Survival and Risk Factors in 142 Informative Cases
ABSTRACTA total of 142 patients with myeloproliferative neoplasms (MPNs) or acute myeloid leukemia (AML) associated with multihit TP53 mutations (mTP53 MUT) were accessed from the Mayo Clinic database and included (i) chronic phase MPN (MPN‐CP; N = 19), (ii) accelerated phase MPN (MPN‐AP; N = 14), (iii) blast phase MPN (MPN‐BP; N = 28), and (iv) AML (N = 81). Concurrent ASXL1 MUT, EZH2 MUT, IDH1,MUT and IDH2 MUT were more common in MPN‐MUTBP‐mTP53 compared to AML‐mTP53 MUT. At median of 11.6 months follow‐up, 124 (87%) deaths and 19 (13%) allogeneic stem cell transplantations (ASCT) were documented. Overall survival (OS), calculated from the time of mTP53 MUT detection, was similar between MPN‐BP‐mTP53 MUT (median 4.6 months) and MPN‐AP‐mTP53 MUT (5.6 months; p = 0.5) but both were inferior to MPN‐CP‐mTP53 MUT (11.6 months, p < 0.01). OS in MPN‐CP‐mTP53 MUT was similar to that of AML‐mTP53 MUT (median 7.4 months, p = 0.07). In multivariable analysis, OS was favorably affected by ASCT (HR 0.4, p = 0.03) and disease stage (i.e., chronic phase disease) or achieving response to pre‐transplant chemotherapy (HR 0.2, p < 0.01) and unfavorably by the presence of concurrent TET2 MUT or DNMT3A MUT (HR 2.7, p < 0.01). Based on these risk factors, a 3‐tiered risk model was constructed: low (no risk factors; N = 18; median OS 23.8 months); intermediate (one risk factor; N = 44; 11.1 months); and high (two or more risk factors; N = 80; 4 months; p < 0.01). The current study highlights the equally detrimental impact of mTP53 MUT on long‐term survival in MPN and AML and identifies predictors of short‐term survival.
NCCN Guidelines® Insights: Myelodysplastic Syndromes, Version 2.2025
The NCCN Guidelines for Myelodysplastic Syndromes (MDS) provide recommendations for the evaluation, diagnosis, and comprehensive care of patients with MDS based on a review of recent clinical evidence that has led to important advances in treatment or has yielded new information on biologic factors that may have prognostic significance in MDS. The multidisciplinary panel of MDS experts is convened at least on an annual basis. During the annual meeting, the panel evaluates new and emerging data to inform their recommendations. These NCCN Guidelines Insights review the recent updates, including treatment recommendations both for lower-risk and higher-risk MDS, preference stratification of therapeutic agents, and emerging data on novel therapeutics.
Prevalence of cytopenia(s) and somatic variants in patients with DDX41 mutant germline predisposition syndrome
SummaryGermline variants in DDX41 (DDX41MT‐germline predisposition syndrome [GPS]) are associated with predisposition to haematological malignancies (HM), including lymphoid and myeloid neoplasms (MN). We retrospectively analysed the clinical and molecular features of 195 patients diagnosed and treated at Mayo Clinic with DDX41MT‐GPS. Patients with germline DDX41 pathogenic variants (42.3%) and variants of unknown significance (VUS, 57.6%) were included. The median age was 68.6 years (16.2–93.4). Ninety‐two per cent were Caucasian, 64.1% were male and 30.8% had a family history of HM. There were 92 distinct germline variants among our cohort, and the most common was p.Met1? (15.9%), followed by p.Asp140Glyfs*2 (9.2%). Clinical diagnoses included asymptomatic carriers (10.2%), clonal cytopenia of undetermined significance (CCUS, 6.1%), myeloproliferative neoplasms (6.7%), myelodysplastic syndrome (40.5%), acute myeloid leukaemia (20.5%), lymphoid neoplasms (9.2%), plasma cell dyscrasias (6.1%) and solid tumours (22.5%). Patients with MN were older (median age 70 vs. 63.5 years) and more likely to be male (M:F ratio 2.3 vs. 1.0) and most patients (78.8%) with MN had a normal karyotype. The most common somatic variants involved DDX41 (34.4%), followed by TET2 (11.2%), DNMT3A (9.6%) and ASXL1 (9.2%). In summary, we have comprehensively described the spectrum of clinical phenotypes within the Mayo Clinic DDX41MT‐GPS cohort.
A plain language summary of the ASCERTAIN trial: oral decitabine and cedazuridine versus intravenous decitabine for MDS or CMML
ABSTRACT The clinical relevance of TP53 mutations ( TP53 MUT ) in myeloproliferative neoplasms (MPN) and their prognostic interaction with MPN subtype designation has not been systematically studied. In the current study, 114 patients with MPN harboring TP53 MUT (VAF ≥ 2%) were evaluated for overall survival (OS), calculated from the time of TP53 MUT detection: chronic phase myelofibrosis (MF‐CP; N = 61); blast‐phase (MPN‐BP; N = 31) or accelerated‐phase (MPN‐AP; N = 16) MPN, and polycythemia vera/essential thrombocythemia (PV/ET; N = 6). Sixty‐five (57%) patients harbored International Consensus Classification (ICC)‐defined multihit TP53 MUT and 56 (49%) monosomal/complex karyotype (MK/CK). Majority of MPN‐BP (90%) and MPN‐AP (81%) while 39% of MF‐CP and none of PV/ET patients harbored multihit TP53 MUT . OS in MPN‐BP and MPN‐AP was equally dismal (median 6 vs. 4.5 months, respectively; p = 1.0), regardless of multihit configuration ( p = 0.44), while OS in TP53 MUT MPN‐BP/AP ( N = 47; median 4 months) was inferior to that of a separate cohort ( N = 49) with TP53 wild‐type MPN‐BP/AP (median 11 months; p < 0.01). OS in MF‐CP was significantly shorter with multihit versus non‐multihit TP53 MUT (median 10 vs. 35 months; HR 2.9; p < 0.01), independent of other MF‐relevant genetic risk factors, including ASXL1/SRSF2/U2AF1 mutations. Multihit TP53 MUT was also associated with inferior survival following allogeneic stem cell transplant (ASCT): median 9 months versus “not reached” in patients with ( N = 9) versus without ( N = 8) multihit TP53 MUT ( p < 0.01). The presence of multihit or non‐multihit TP53 MUT in MPN‐BP/AP or multihit TP53 MUT in MF‐CP is associated with exceptionally poor prognosis and justifies inclusion into the ICC category of “myeloid neoplasms with mutated TP53 .” By contrast, detection of non‐multihit TP53 MUT , by itself, might not endanger short‐term survival in MF‐CP, PV, or ET.
Venetoclax in combination with fludarabine, cytarabine, granulocyte colony stimulating factor, and idarubicin (FLAG-Ida) in patients with acute leukemia of ambiguous lineage and acute lymphoblastic leukemia
ABSTRACT Patients with newly diagnosed acute myeloid leukemia (ND‐AML) derive variable survival benefit from venetoclax + hypomethylating agent (Ven‐HMA) therapy. The primary objective in the current study was to develop genetic risk models that are predictive of survival and are applicable at the time of diagnosis and after establishing treatment response. Among 400 ND‐AML patients treated with Ven‐HMA at the Mayo Clinic, 247 (62%) achieved complete remission with (CR) or without (CRi) count recovery. Multivariable analysis–derived hazard ratios (HR), including 1.8 for European LeukemiaNet (ELN) adverse karyotype, 4.7 for KMT2Ar , 1.7 for TP53 MUT , 2.6 for KRAS MUT , and 2.1 for IDH2 WT were applied to develop an HR‐weighted risk model: low, intermediate, and high; respective median survival censored for allogeneic stem cell transplant (ASCT) (3‐year survival) were “not reached” (67%), 19.1 (33%), and 7.1 months (0%). In patients achieving CR/CRi, adverse karyotype, KMT2Ar , KRAS MUT , IDH2 WT predicted inferior survival, allowing for a complementary response‐stratified risk model. The model was externally validated and was shown to be superior to the ELN 2024 risk model (AIC 179 vs. 195 and AUC 0.77 vs. 0.69). Survival was inferior with failure to achieve CR/CRi or not receiving ASCT; 3‐year survival for high‐risk with or without ASCT was 42% versus 0% ( p < 0.01); intermediate 72% versus 43% ( p = 0.06); and low‐risk 88% versus 78% ( p = 0.53). The Mayo genetic risk models offer pre‐treatment and response‐based prognostic tools for ND‐AML treated with Ven‐HMA. The current study underscores the prognostically indispensable role of achieving CR/CRi and ASCT.
Characteristics and Outcomes of Patients with Second Hematological Malignancies after Autologous Hematopoietic Cell Transplantation for Multiple Myeloma
Background: There is an increased risk of second primary malignancies including second hematological malignancies (SHM) in multiple myeloma (MM) patients undergoing autologous stem cell transplant (auto-SCT) followed by lenalidomide maintenance. We analyzed the characteristics and outcomes of patients who developed SHM after an auto- SCT for MM. Methods: A retrospective study of all MM patients who underwent auto- SCT at Mayo Clinic, Rochester between January 1, 1990, and 31 August 2023 and later developed SHM. Demographic, clinical and pathologic data were collected retrospectively. Overall survival (OS) was calculated from the date of auto-SCT to the date of last follow up. Statistical analyses were performed using GraphPad prism 9.0. Chi-square test was used to calculate the difference between categorical variables. Kaplan Meier method and log rank test were used to estimate OS. Results: Among 3513 patients who underwent at least 1 auto-SCT, 104 (2.9%) developed a SHM at a median follow up of 59 (range, 0.2-265) months. Patients who developed SHM, more frequently received pretransplant alkylating agents (37.5 vs 24.2 %, odds ratio [OR], 1.87; P=0.003) and topoisomerase II inhibitors (anthracyclines/etoposide) (17.3% vs 10.4%, OR [1.79]; P=0.03) compared to a control group of MM patients without SHM. Further, exposure to lenalidomide (77.8% vs 57.6%, OR[2.59]; P <0.0001) and radiation therapy (32.6% vs 23.1%, [1.54]; P=0.04) were more often seen in the SHM cohort compared to control group. Among the 381 patients who underwent > 1 auto- SCT, 3.1% developed SHM. Therapy related myeloid neoplasms (t-MN) accounted for 90.3% of cases [n=94; t-myelodysplastic syndrome (t-MDS=64), t-acute myeloid leukemia (t-AML=12), t-MDS transformed to AML(n=16), chronic myeloid leukemia (n=1), MDS/myeloproliferative neoplasm overlap syndrome (n=1)]. Eight patients (7.6%) developed therapy related B- cell acute lymphoblastic leukemia (t-ALL); Philadelphia (Ph) negative ALL (n=7) and Ph- like ALL (n=1). One patient each developed mixed phenotype acute leukemia and acute leukemia, not otherwise specified. Sixty patients (57.6%) were males and the median age at diagnosis of SHM was 70 (range, 43-84) years. The median time from auto-SCT to diagnosis of SHM was 58.5 (range, 7-236) months. In a multivariate analysis, receiving an alkylating agent (hazard ratio [95% confidence interval]: 2.51 [1.54 to 4.01]; P = 0.0002) and/or topoisomerase II inhibitor as induction for MM (3.12 [1.59 to 5.88]; P = 0.0006), exposure to lenalidomide (7.08 [3.92 to 13.50]; P = <0.0001) and radiation therapy (1.60 [1.02 to 2.44]; P = 0.03) were independent predictors of developing SHM. At diagnosis, 57% (n=37) of t-MDS and 71% (n=20) with t-AML had high risk disease per R-IPSS and 2022 European Leukemia Net respectively. Clonal abnormality in chromosome 5 and/or 7 was present in 45% (n=42) of patients. Complex and monosomal karyotype was seen in 32% (n=30) with t-MN. The most frequently mutated genes based on next generation sequencing data included TP53 (n=33), DNMT3A (n=9), RUNX1 (n=5), TET2 (n=4) and CEBPA (n=4). In the t-MDS/AML cohort, 3 patients (3.1%) underwent second auto-SCT and 9 (9.5%) received allogenic SCT (allo-SCT) for SHM. After a median follow-up of 27.2 months, the median OS from t-MDS/AML diagnosis was 8.04 months (95%CI, 6.1-11.0 months) and there was no difference in median OS for allo-SCT recipients versus nonrecipients (9.1 vs 6.8 months, P =0.19). In the t-ALL (n=8) cohort, all of them received lenalidomide based induction and five received lenalidomide maintenance. Most of the t-ALL patients had adverse risk cytogenetics [IKZF1 deletion (n=2), complex karyotype (n=2), TP53 mutation (n=1) and P2RY8-CRLF2 fusion (n=1)]. Three patients with t-ALL underwent allo-SCT and the median OS for allo-SCT recipients versus non recipients were 8.3 vs 7.9 months respectively, P=0.50. Among patients with SHM, 92.3% (n = 96) have died with SHM (72%) being the most common cause of death. MM patients who developed SHM had an inferior OS when compared to those without SHM (median OS, 75 vs 90 months, P =0.006). Conclusion: SHM following auto-SCT tends to have aggressive disease biology with poor outcomes. Short term follow up underestimates the risk of SHM and the higher incidence noted in our study may be due to longer follow up. As the OS in MM patients continues to improve, SHM remains an important challenge in improving long term outcomes.