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Abstract Introduction: Inherited & acquired bone marrow failure syndromes (BMFS) have “stress erythropoiesis” with macrocytic anemia, elevated fetal hemoglobin (HbF) & erythropoietin (EPO) levels. The degree of HbF elevation & its capacity to discriminate between patients with inherited & acquired BMFS needs to be systemically studied. Genetic testing is often delayed & it is important to establish an early clinical diagnosis to make clinical decisions such as initiation of immunosuppressive therapy. Methods: After institutional review board approval, we compiled a clinically & genetically well-annotated cohort of patients with BMFS evaluated at Mayo Clinic. All patients were required to have at least cytopenia(s) & evidence of low or variable bone marrow cellularity upon a bone marrow evaluation. Patients with pre-clonal or malignant disorders were excluded. Clinical diagnoses were independently verified for accuracy. Detailed clinical & laboratory features were recorded. Germline genetic testing was performed as clinically appropriate on peripheral blood or bone marrow samples through targeted panels. Distribution of continuous variables was statistically compared using nonparametric (Mann-Whitney or Kruskal-Wallis) tests, while nominal variables were compared using the Chi-Square test. Kaplan-Meier estimate of overall survival (OS) was computed from the date of diagnosis to date of death or last follow-up (also censored at the time of allogeneic hematopoietic stem cell transplant). Results: Between years 1998 - 2023, 129 patients met criteria for inclusion in the study. Among these, clinical diagnoses included immune-mediated aplastic anemia (AA, n=56, 43%, 21% severe or very severe as per the Camitta criteria), telomere biology disorders (TBD, n=37, 29%), Fanconi anemia (n=10, 8%), GATA2 haploinsufficiency (n=8, 6%), Diamond-Blackfan anemia (DBA, n=2, 2%), deficiency of adenosine deaminase-2 (DADA2, n=2, 2%), congenital dyserythropoietic anemia (CDA, n=1, 1%), congential amegakaryocytic thrombocytopenia (CAMT, n=1, 1%), Schwachman-Diamond syndrome (n=1, 1%) & undefined (n=11, 9%). Among the inherited group, 63% had an identifiable germline pathogenic variant (most commonly, TERT/TERC 30%, FANC group 25% & GATA2 15%) with the rest diagnosed on a clinical basis. Elevated HbF >1% was noted in 79% of all BMFS patients; 83% AA, 70% TBD, 50% in DADA2 & 67% in undefined patients (no data was available for other inherited subtypes). In patients with an elevated HbF, absolute monocyte count (p=0.04) was significantly higher; however, there were no other significant associations with variables at diagnosis such as hemoglobin (p=0.5), white blood cell count (WBC, p=0.14), absolute neutrophil count (p=0.5), platelet count (p=0.7), mean corpuscular volume (MCV, p=0.2), absolute lymphocyte count (p=0.1), absolute reticulocyte count (p=0.4), EPO level (p=0.3), presence of a PNH clone (p=0.2), or presence of a germline variant (p=0.3). When diseases were grouped into inherited & acquired (AA) subgroups, median HbF was not significantly different (median%, 4.5 versus 2.3, p=0.4), with elevated HbF (>1%) in 75% versus 83% (p=0.6) patients respectively. On the other hand, minor PNH clone (>0.1% in at least two cell types) was detectable in the acquired group only (0 versus 55%, p<0.0001). Similarly, acquired group had a shorter (<3 months) onset of cytopenias preceding diagnosis (P<0.0001), with no significant differences in MCV (p=0.2), marrow dysplasia (p=0.09) or atypia (p=0.6), & splenomegaly (p=0.9). At median follow-up of 7 years, Kaplan-Meier estimate of transplant-censored median OS was lower in inherited versus acquired group (16 years versus median not reached, p=0.02). Elevated HbF did not significantly predict adverse OS in either group. Conclusions: Fetal hemoglobin is elevated in both patients with inherited & acquired (aplastic anemia) BMFS. When compared to established variables, elevated HbF has neither diagnostic utility nor prognostic relevance in predicting adverse outcomes. On the other hand, onset of cytopenias and presence of a minor PNH clone are both useful clinical variables in differentiating patients with inherited from acquired BMFS. Our data offers practical clinical utility in making early treatment decisions for patients with BMFS.

Abstract Introduction: The DEAD-box helicase 41 (DDX41) gene, located on chromosome 5q35, is a tumor suppressor gene involved in RNA processing. Germline mutations in this gene can predispose patients to myeloid malignancies. Studies have suggested a more favorable prognosis in those with germline mutations in DDX41, with progression of disease being a frequently encountered cause of death. In this retrospective study, we explored the causes of death in a cohort of patients with pathogenic DDX41 mutations. Methods: This was a retrospective study of patients diagnosed with myeloid neoplasms between 2009-2024 and found to have DDX41 mutation (DDX41m) via next generation sequencing (NGS) at our institution. Myeloid NGS was obtained at or after the diagnosis of myeloid disease. Germline testing (when available) was performed through buccal/skin samples. Carriers of DDX41m without a myeloid neoplasm diagnosis and patients with only DDX41m VUS were excluded. Baseline characteristics at the time of myeloid neoplasm diagnosis included age at diagnosis, DDX41m variant allele frequency (VAF), blood counts (hemoglobin, white blood cell count, platelets), cytogenetics, bone marrow blast percentage, number of co-mutations, and treatment received. Unadjusted comparisons were made using continuous or categorical variables. Median overall survival (OS) was calculated from the time of diagnosis with myeloid neoplasm to the time of death, using BlueSky Statistics V.10.3.4. Results: Of the 112 patients identified to have pathogenic DDX41m, 29 (26%) patients were deceased at the time of data analysis. In this cohort of 29 patients (median age at diagnosis 72 years, 17 (59%) males), disease groups at initial diagnosis included 17 (59%) patients with MDS, 9 (31%) AML, and 3 (10%) MPN. Fourteen of the 17 (82%) of the patients with MDS were classified as MDS-EB1 or MDS-EB2. Seven of the 17 (41%) patients with MDS progressed to AML at the time of death, with 57% of the patients having more than 30% bone marrow blasts at time of progression. Blood counts at diagnosis in the cohort included a median hemoglobin of 9.8 g/dL, platelets of 83 x 109/L, and white blood cell count of 2.1 x 109/L. Twenty-one (72%) of patients had normal cytogenetics. Nine (31%) patients had both a pathogenic mutation and a variant of uncertain significance (VUS) in DDX41, with the remaining 20 patients harboring only a pathogenic DDX41 mutation. Eight (27%) patients underwent germline testing, with 7 confirmed to harbor a germline DDX41m. In the deceased cohort, 9 (31%) patients underwent HSCT. Three of the patients with AML and 1 patient with MDS were observed and did not undergo treatment. Median overall survival of the deceased cohort was 29 months. The median time to AML progression in the group with MDS was 14 months. Causes of death included infection in 11 (38%) patients, 9 (31%) with disease progression/relapse, 3 (10%) with acute gastrointestinal graft versus host disease (GVHD), and 1 (3%) from cerebral bleed. The cause of death was unknown in the remaining 5 (17.2%) patients. Infections included pneumonia, bacteremia, neutropenic enterocolitis, fungal, and unknown etiology. Of the 4 patients who were observed, 2 died from unknown cause and 2 died from disease progression. Of the 16 patients with AML at time of death, 9 (56%) died from disease progression or relapse, 3 (19%) from infection, 2 (13%) from GVHD, and 2 (13%) from unknown causes. Of the 10 deaths in the MDS group, 7 (70%) were from infection, 1 (10%) from GVHD, 1 (10%) from cerebral bleed, and 1 (10%) from an unknown cause. Three cases of infection in the MDS group occurred during remission. Infection was a more common cause of death in the MDS group compared to the AML group, where disease progression prevailed as a cause of death (70% vs 19%, p=0.01). Eight (80%) of the patients with MDS who died from infection were neutropenic prior to death, and 4 (50%) of those patients were on neutropenic antimicrobial prophylaxis. Conclusions: In this cohort of 29 deceased patients with a DDX41-mutated myeloid neoplasm, we characterized causes of death. Disease progression/relapse was a significantly more common cause of death in those with AML, compared to infection in patients with MDS. Our work underscores the need for additional studies looking into non-leukemic causes of death in patients with DDX41m myeloid diseases and potential strategies to mitigate infection-related mortality in this population.

Abstract Background: TP53-mutated (TP53mut) myeloid neoplasms (MN) are a biologically and clinically distinct subgroup of blood cancers associated with extremely poor outcomes and limited response to conventional therapies. In some patients, MN are preceded by clonal cytopenia of undetermined significance (CCUS). Prior cytotoxic exposure (treatment related, TR) is an independent predictor for survival in CCUS (Li et al, Blood Adv. 2024). As TP53mut CCUS and MN are enriched in TR cases, the interaction between cytotoxic exposure and TP53mut status on the risk of progression and survival remains unclear. Methods: Adult patients with CCUS who were evaluated at the Mayo Clinic or South Australian myelodysplastic syndrome (MDS) Registry (Adelaide, Australia) were included. CCUS and MDS were defined according to the 5th edition of the WHO classification for MN (Khoury et al, 2022), except for the exclusion of cases harboring MDS-defining cytogenetics. Next-generation sequencing was performed using a targeted panel covering genes commonly mutated in MN. In cases with >1 TP53mut, VAFs were summed. Survival outcomes were assessed by Kaplan-Meier with log-rank testing. Univariate and multivariate analyses were estimated using Cox proportional hazards regression. Results: Of 320 CCUS cases, 50 (15.6%) harbored TP53mut (TP53mut CCUS), whereas 270 (84.4%) were wild-type (TP53wt CCUS). Median age at diagnosis was 71 years (range 16-99). TP53mut CCUS had a greater proportion of females (60% vs 33.7%, p<0.001) and TR (66% vs 23%, p<0.001) compared to TP53wt. Hematologic parameters including hemoglobin, red cell distribution width, mean corpuscular volume, white blood count, absolute neutrophil count, platelets, and bone marrow blasts were comparable between the two groups. Almost all TP53mut (n=48, 96%) were located in the DNA-binding domain and the median variant allele frequency (VAF) was 9% (range 2-46%). Five (10%) cases harbored 2 TP53mut. The distribution of TP53mut VAF among patients was as follows: ≤2.5% (n=2), 2.5-5% (n=10), 5-10% (n=19), 10-20% (n=11), and ≥20% (n=7). The proportion of cases with cytogenetic abnormalities was smaller in TP53mut compared to TP53wt CCUS(12% vs 25.9%, p=0.035). Both cohorts had a comparable median number of mutations: 2 (range 0-7) in TP53mut and 2 (range 0-5) in TP53wt. The most common co-mutations in TP53mut CCUS were TET2 (n=8, 17.8%), PPMD1 (n=7, 15.6%), DNMT3A (n=6, 13.3%), ASXL1 (n=6, 13.3%), and SRSF2 (n=4, 8.9%). At last follow up, the rate of progression was comparable between TP53mut and TP53wt CCUS (12% vs 22%, p=0.13). Median time to MN progression was not reached in TP53mut and 6.25 months in TP53wt CCUS (p=0.5197). A significantly higher proportion of TP53mut cases acquired complex cytogenetics compared to TP53wt cases (33% vs 2%, p=0.024) at MN progression. Of 20 deaths observed in the TP53mut cohort, non-myeloid hematologic malignancies (n=6, 30%), infections (n=5, 25%), and TP53mut MN (n=4, 20%) were the 3 most common causes. With a median follow-up of 4 years (IQR 1.2-4.8), median OS was longer in de novo (dn) cases (8.7 years for dn TP53wt; not reached for dn TP53mut) and shorter in TR cases (3.3 years for TR TP53wt; 4.8 years for TR TP53mut). Notably, TP53mut showed no independent prognostic impact in the entire cohort, or when stratified by TR vs dn CCUS. On multivariate analysis that included TP53mut status, factors independently associated with inferior OS included prior therapy (HR 2.21, 95% CI 1.41-3.45, p<0.001), anemia (HR 4.1, 95% CI 1.88-8.99, p<0.001), and thrombocytopenia (HR 2.38, 95% CI 1.43-3.95, p<0.001). Similarly, TR CCUS (HR 1.6, 95% CI 1.06-2.4, p=0.03) and anemia (HR 2.15, 95% CI 1.25-3.7, p=0.006) were independently associated with inferior progression free survival. Conclusion: TP53 mut in CCUS did not independently predict inferior survival or increase leukemic transformation. While TP53mut CCUS were less likely to harbor cytogenetic abnormalities at diagnosis, significantly more cases harbored genomic instability at leukemic transformation. The poor outcomes attributed to TP53mut CCUS were driven by prior cytotoxic exposure, cytopenia – particularly anemia, and non-leukemic causes of death. These findings suggest risk stratification in CCUS should prioritize clinical context over TP53mut status alone.

Abstract Background: Isocitrate dehydrogenase (IDH) mutations are frequently implicated in the development of acute myeloid leukemia (AML). In a recent study (Salman MY, Blood Adv 2025), it was reported that IDH2 mutation subtypes, R140 and R172, may respond differently to intensive chemotherapy. In this study, we evaluated mid-cycle and end-of-cycle bone marrow blast responses in AML patients with IDH2 R140, IDH2 R172, and IDH1 R132 mutations, aiming to determine whether these subtypes exhibit different response dynamics. Methods: We reviewed the charts of AML patients diagnosed at Mayo Clinic, Rochester, between the years 2016 - 2023 that had available next generation sequencing (NGS) data. Institutional review board approval was obtained. All data were recorded at the time of AML diagnosis. Patients without molecular data or not treated with intensive chemotherapy (7+3 or CPX-351) were excluded from this study. Bone marrow blast percentages were assessed at mid-induction (days 14-21) and end of cycle (counts recovery). Blast clearance dynamics and complete remission rates were compared across IDH mutation subgroups and correlated with outcomes. GraphPad Prism 10.0.0 was used for statistical analysis. Results: Out of 381 AML patients, 31 had IDH2 mutations (23 with R140 and 8 with R172), and 8 had IDH1 mutations (all R132). Among patients with IDH2 mutations, those with R172 had numerically higher median mid-cycle bone marrow blast percentage compared to R140 (10% vs. 4%, p = 0.37). There was no significant difference in mid-cycle blast percentages between patients with IDH1 and IDH2 mutations (4.5% vs. 4%, p = 0.8). At mid-cycle, 68% of patients with IDH2 R140 had blast counts <5%, compared to 38% of those with IDH2 R172, suggesting a trend for faster mid-cycle clearance in the R140 group, though not statistically significant (OR 3.57, p = 0.2). In a broader comparison, 60% of IDH2-mutated patients and 50% of IDH1-mutated patients achieved blast clearance (blasts <5%) at mid-cycle, though not statistically significant (p = 0.7). At the end of the induction, patients with IDH2 R140 had significantly lower median bone marrow blast percentages compared to those with R172mutations (2% vs. 4%, p = 0.01). Similarly, patients with IDH1 mutations showed low blast counts compared to the IDH2 group (1.5% vs. 3%, p = 0.1). A higher proportion of IDH2 R140 patients achieved blast clearance compared to those with R172 mutations (100% vs. 75%, p = 0.06), while proportion of patients who achieved blast clearance were similar between IDH1 and IDH2 patients (87.5% vs 93.1%, P = 0.5). Analysis of overall complete remission rates (including both complete remission [CR] and CR with incomplete hematologic recovery [CRi]) within the IDH2-mutated group showed a higher rate in patients with the R140 mutation compared to those with R172 (87% vs. 75%), though the difference was not statistically significant (p = 0.5). When comparing IDH1- and IDH2-mutated patients, overall complete remission rates were 75% and 84%, respectively, with no significant difference observed (p = 0.6). Kaplan–Meier analysis of time to end-of-induction blast clearance revealed no statistically significant difference between IDH2 R140 and R172 patients (median time to clearance: 31 vs. 37 days, p = 0.3). Similarly, no difference was observed between IDH1 and IDH2-mutated patients (33 vs. 31 days, p = 0.9). Overall survival analyses showed no significant difference between IDH2 R140 and R172 groups (median 66.8 months vs not reached, P = 0.4). Likewise, no difference was observed between IDH1 and IDH2 patients (44.4 months vs not reached, P = 0.7), indicating similar overall survival across mutation subtypes. Conclusion: IDH2-R140 was associated with more effective blast cytoreduction following intensive induction compared to IDH2-R172. Although not statistically significant, IDH2 R172consistently showed trends toward higher blast percentages, delayed response, and lower overall complete remission rates. These findings align with the recent study reporting significantly slower blast reduction and delayed response in R172-mutated AML. Also, no significant differences were found between IDH1- and IDH2-mutated patients in terms of response kinetics or overall survival. Together, these findings highlight potential biological differences among IDH mutation subtypes that may impact treatment response and require further investigation in larger prospective cohorts.

Abstract Introduction: While newly diagnosed patients (pts) with acute myeloid leukemia (AML) who are ineligible for intensive chemotherapy have prolonged survival outcomes with venetoclax plus azacitidine (VEN+AZA) over AZA alone (2-year overall survival rate: 37.5% vs 16.9%), more can be done to further enhance outcomes (Pratz et al., 2024). CD123 is overexpressed on AML blasts and leukemia stem cells in AML. Pivekimab sunirine (PVEK) is a first-in-class antibody-drug conjugate comprised of a high-affinity anti-CD123 antibody, a cleavable linker, and an indolinobenzodiazepine pseudodimer payload. Previously, in pts with CD123-positive AML, PVEK combined with VEN+AZA demonstrated robust response rates with a manageable safety profile (Daver et al., 2023). Here we report a subgroup analysis from a preliminary cohort of frontline (1L)-treated pts with AML. Methods: Data are from the dose expansion phase of an ongoing, open-label, multicenter, fully enrolled, Phase 1b/2 study of PVEK+VEN+AZA in adults with 1L unfit AML deemed CD123-positive by investigator. Unfit pts were aged ≥75 years (yr), or aged <75 yr with Eastern Cooperative Oncology Group performance status (ECOG PS) score 2–3, or ≥1 defined comorbidity. Pts received PVEK (0.045 mg/kg, intravenous [IV]) on Day (D) 7 plus VEN (400 mg equivalent, oral) daily in a 28-D cycle (cohort 1 received ≥14 D of VEN; cohort 2 received 28 D of VEN) plus AZA (up to 75 mg/m2, subcutaneous or IV) on D1–7. Bone marrow assessments were performed by D12–14 (cohort 1) or D18–21 (cohort 2) to determine VEN duration in cycle 1 and at the end of every subsequent cycle to assess responses and myelosuppression. The primary endpoint was antileukemia activity (complete remission [CR] rate) and measurable residual disease (MRD) assessments. Responses were determined using the modified European LeukemiaNet 2017 criteria (plus CR + partial hematologic recovery [CRh]). MRD-negativity was defined centrally as <0.1% using multiparameter flow cytometry. Safety was assessed as a secondary endpoint. Results: Among 1L unfit pts with CD123-positive AML (n=49), the median (range) age was 77 (58–85) yr, with most pts aged ≥75 yr (n=36 [74%]). Forty-two (86%) pts reported an ECOG PS ≤1, 14% (n=7) had secondary AML, and 20% (n=10) and 51% (n=25) had intermediate or adverse cytogenetic risk, respectively; 65% (n=32) and 35% (n=17) were reported as TP53wt or TP53mut, respectively. Eight (16%) pts bridged to stem cell transplant. The median (range) number of treatment cycles and duration of treatment were 4 (1–20) and 5.5 (0.7–22.7) months (mo), respectively, for PVEK; 4 (1–20) and 5.1 (0.9–22.9) mo for VEN; and 4 (1–21) and 5.7 (0.9–23.4) mo for AZA. For cohort 1 (n=10), the median (range) duration of VEN was 4.5 (2.1–22.9) mo, and for cohort 2 (n=39), the median (range) duration of VEN was 5.7 (0.9–15.2) mo. With a median (range) follow-up of 10 (1.2–26.7) mo, 63.3% (95% CI: 48.3%–76.6%) of pts achieved CR, 79.6% (95% CI: 65.7%–89.8%) achieved CR/CR with incomplete hematologic recovery (CRi), and 73.5% (95% CI: 58.9%–85.1%) achieved CR/CRh; morphologic leukemia free state was achieved in 4% (n=2) of pts. Of pts who achieved CR or CR/CRi with a MRD-evaluable sample, 92% (23/25) and 90% (27/30) achieved flow cytometry MRD-negativity (<0.1%) respectively. The most common (≥50% of pts) any grade treatment-emergent adverse events (AEs) were neutropenia/neutrophil count decreased and thrombocytopenia/platelet count decreased (both 69%); constipation (61%); and peripheral edema (51%). Three pts (6%) experienced AEs leading to discontinuation (myocardial infarction/soft tissue infection/thrombocytopenia) and 2 pts had AEs leading to death (respiratory failure/pancytopenia). Conclusions: Unfit pts with newly diagnosed CD123-postive AML demonstrated high CR rates with PVEK+VEN+AZA. These robust response rates were observed across the select mutational profiles tested. Follow up with duration of response and survival estimates among all pts, by molecular subgroups and MRD negativity status, are being evaluated. Triplet therapy in unfit 1L pts with CD-123–positive AML was well-tolerated, and no new safety signals were observed. These data highlight the need to further evaluate this regimen in a randomized trial.

Abstract Background: The International Prognostic Scoring System (IPSS; Cervantes et al. Blood 2009;113) and dynamic IPSS (DIPSS; Passamonti et al. Blood 2010;115:1703) were developed about 15 years ago, based on 5 clinical risk factors: age >65 years, hemoglobin <10 g/dl, white blood cell count (WBC) >25 x 109/L, peripheral blood (PB) blasts ³1%, and constitutional symptoms. DIPSS-independent genetic risk factors have since been incorporated into molecular risk models with higher predictive accuracy (Guglielmelli et al. JCO 2018;36:310; Tefferi et al JCO 2018;36:1769). Because of its accessibility, DIPSS is often preferred for use in patient selection for clinical trials. The objective of the current study was to revise DIPSS by incorporating new and refined clinical risk variables and excluding those that are subjective (e.g., symptoms) or could exaggerate the need for therapy for older adults (e.g., age). Methods: Diagnostic criteria were according to the International Consensus Classification (Arber et al. Blood 2022; 140:1200). Severity of anemia was adjudicated by the Revised International Working Group-European LeukemiaNet criteria (Blood 2024; 144:1813). Receiver operating characteristic curve analysis was utilized to determine the optimal cutoff points for age, WBC, PB blast percentage, absolute monocyte count (AMC), and platelet count. Data were collected retrospectively corresponding to the time of first referral, which, in the majority of cases, coincided within one year of initial diagnosis and before initiation of cytoreductive therapy. Survival analysis was censored for allogenic stem cell transplantation (ASCT). Time-specific AUC was computed at pre-defined landmark time points and used to compare model performance between DIPSS and the revised model (DIPSS-R). Results: The discovery cohort from the Mayo Clinic included 1,073 patients (median age 65 years; 61% males) and the validation cohort from Italy 635 patients (median age 63 years; 60% males). In the discovery cohort, median follow-up (% deaths, AML, ASCTs) was 45 months (49%, 10%, 17%) and in the validation cohort 60 months (42%, 11%, 5%). In univariate analysis, the following correlated with inferior survival, in both the discovery and validation cohorts, with significance confirmed by multivariable analysis (MVA) in the discovery cohort: severe anemia (transfusion-dependent or hemoglobin level <8 g/dL in women or <9 g/dL in men), moderate anemia (hemoglobin level 8 to <10 in women or 9 to <11 in men), marked leukocytosis (WBC ≥25 x 109/L), moderate leukocytosis (WBC 11 to <25 x 109/L), age >65 years, PB blast ≥2%, AMC ≥1 x 109/L, platelet count <150 x 109/L, constitutional symptoms, and male sex. After excluding age, sex, and constitutional symptoms, MVA-derived HRs (95% CI) were 3.5 (2.8-4.4) for severe anemia, 2.0 (1.5-2.5) moderate anemia, 2.4 (1.8-3.3) marked leukocytosis, 1.5 (1.2-1.9) moderate leukocytosis, 1.7 (1.4-2.1) PB blast ≥2%, 1.5 (1.2-2.0) AMC ≥1 x 109/L, and 1.5 (1.2-1.8) platelet count <150 x 109/L. An HR-weighted risk model was subsequently developed (Figure 1) and validated (Figure 2) using the discovery and validation cohorts, respectively: low risk (0 points; N=205; median survival 226 months), intermediate-1 risk (1 point; N=253; 131 months), intermediate-2 risk (2-3 points; N=457; 62 months), and high risk (4-7 points; N=153; 31 months); the corresponding median survival estimates in the validation cohort were “not reached”, 205 months, 96 months, and 44 months (inter-risk category p values <0.01 in all instances). Ten-year predictive accuracy was comparable between DIPSS-R (AUC 0.78) and DIPSS (AUC 0.78), despite the exclusion of age and constitutional symptoms, as risk variables, from the revised model. Furthermore, predictive performance was superior for DIPSS-R vs. DIPSS when analysis was stratified by age: >65 years (AUC 0.77 vs. 0.74) and ≤65 years (AUC 0.71 vs. 0.66). MVA that included high (ASXl1, SRSF2, U2AF1) and low (CALR type 1/like) risk mutations, karyotype, and DIPSS-R variables showed independent prognostic contribution from all except thrombocytopenia (p=0.2; Figure 3). Conclusion: DIPSS-R utilizes disease-related, as opposed to host-related, predictors of survival whose prognostic contribution was independent and complementary to genetic risk factors. The model preserves global applicability and allows for a more accurate assessment of disease severity for practice and research purposes.

Abstract Prognosis in acute myeloid leukemia (AML) patients is influenced by various factors, most importantly, patient clinical status and cytogenetic/molecular abnormalities. Within those factors, elevated lactate dehydrogenase (LDH) is considered a poor prognostic indicator in AML patients. Our study aims at exploring the different factors associated with elevated LDH and their impact on overall survival (OS). After obtaining IRB approval, we reviewed the charts of 381 AML patients diagnosed at Mayo Clinic, Rochester, between the years of 2016 and 2023. All data was recorded at the time of AML diagnosis. Patients with no cytogenetic and molecular data were excluded from this study. LDH levels were recorded if measured within 10 days of diagnosis and treatment for AML was not yet given. Both risk stratification and response evaluation were done following the 2022 European LeukemiaNet (ELN) guidelines. OS was calculated from the date of AML diagnosis to the date of last follow-up or death. We used BlueSky Statistics V 10.3.4 for statistical analysis. We identified 299 patients (78.4%) who had elevated LDH levels (normal ≤ 222 U/L) at the time of diagnosis with a median of 417 U/L (range, 223-7989). The median age for those patients was 68 years (range, 18-94), with 78 (26.1%) of them having a prior myeloid disease (MDS, MPN, or MDS/MPN) before AML diagnosis. By risk stratification, more than half of the patients had an adverse risk profile (n=171, 57.2%), while 71 (23.7%) and 57 (19.1%) had an intermediate and favorable risk, respectively. Most of those patients had an abnormal karyotype (n=204, 68.7%), with complex karyotype (n=103, 34.7%) being the most common abnormality, followed by monosomy 7 (n=50, 16.8%) and trisomy 8 (n=46, 15.5%). Next-generation sequencing (NGS) was performed on 268 (89.6%) patients with elevated LDH, and the most common mutations were TP53 (n=60, 22.3%), FLT3-ITD (n=59, 21.1%), and NPM1 (n=51, 18.5%). TP53 mutations were more common in patients with normal/low white blood cell count (WBC) in contrast with FLT3 and NPM1, which were the most common mutations in patients with high WBC. After grouping the patients according to their LDH levels (group 1: 223-444 U/L, group 2: 444-666 U/L, group 3: > 666 U/L), we found that FLT3-ITD mutations were more likely to occur at higher LDH levels i.e. groups 2 and 3 (p= 0.002). The majority of patients with elevated LDH (n=262, 87.6%) received therapy following diagnosis, with the most common treatment regimens being a combination of a hypomethylating agent and venetoclax (HMA+VEN) (n=97, 37%) and a (7+3)-based induction therapy (n=77, 29.4%). When comparing patients with elevated LDH (n=299, 78.4%) to patients who had non-elevated LDH (n=82, 21.5%), no difference in both median age at diagnosis and risk stratification was found. We noticed an increase in WBC (median, 7.7 vs. 2.1) (p<0.001) along with an increase in peripheral blasts (median, 28% vs. 7%) (p<0.001) in elevated LDH patients. Among patients with non-elevated LDH, 21% (n=17) had a complex karyotype compared to 34.7% (n=103) in the elevated LDH group (p=0.022). The molecular profile was different between the 2 groups, where the most common mutations in patients with non-elevated LDH were IDH2 (n=19, 25.3%), RUNX1 (n=17, 23%), and DNMT3A (n=16, 21.6%). All patients (n=82, 100%) in the non-elevated LDH group received therapy after diagnosis. There was no difference in terms of treatment regimens used between the 2 groups. Moreover, no statistical difference in remission rates after one line of therapy was found between those groups where non-elevated LDH patients had a 65.9% remission rate compared to the 55.3% remission rate in patients with elevated LDH (p=0.098). Patients with elevated LDH had a shorter OS than patients with non-elevated LDH (9.5 vs. 26.4 months, p=0.0008). However, median OS was similar across the different groups of elevated LDH. Using univariate analysis in our cohort (n=381), age, HSCT, risk stratification, FLT3 mutation, and LDH elevation all had an impact on OS. However, when comparing those variables using multivariate analysis, age and FLT3 mutation lost their significance (p-value of 0.25 and 0.84, respectively).Complex karyotype and FLT3 mutations were more common in patients with elevated LDH. These patients tend to have higher WBC and peripheral blasts. Elevated LDH had a negative impact on patients' OS regardless of patients' risk classification.

ABSTRACT Survival prediction models in essential thrombocythemia (ET) include the International Prognostic Scoring System (IPSET) and the more recently introduced triple‐A (AAA) prognostic score. The latter enlists age and absolute neutrophil (ANC) and lymphocyte (ALC) counts as risk variables. In the current study, a Mayo Clinic discovery cohort of 658 patients with ET was used to identify AAA‐independent risk variables. Accordingly, multivariable analysis‐derived HRs (95% CI) were 15.7 (8.4–29.5) for age > 70 years (8 points); 4.2 (2.3–7.5) for age 50 to 70 years (2 points); 1.8 (1.2–2.5) for ANC ≥ 8 × 10 9 /L (1 point); 1.4 (1.03–1.9) for ALC < 1.7 × 10 9 /L (1 point); 1.8 (1.2–2.6) for absolute monocyte count (AMC) ≥ 0.5 × 10 9 /L (1 point); 1.8 (1.2–2.3) for male sex (1 point); 1.8 (1.3–2.4) for arterial hypertension (1 point); and 1.6 (1.2–2.3) for arterial thrombosis (1 point). HR‐weighted scoring enabled a 4‐tiered risk classification: ultra‐low (0–1 points; N = 94; median survival 42.7 years), low (2–4 points; N = 297; 23 years), intermediate (5 points; N = 66; 17.3 years), and high (6–14 points; N = 201; 10.8 years). Time‐dependent predictive performance at 20/25 years favored AAA + (AUC 0.92/0.91) vs. AAA (0.86/0.86) vs. IPSET (0.81/0.84). The AAA + risk model was subsequently validated by two external cohorts from Israel ( N = 5968) and Italy ( N = 682). In the cohort from Israel, disease‐specific mortality was assessed by comparing observed survival to an age‐ and sex‐matched reference population, which suggested near‐normal life expectancy in ultra‐low risk patients. The current study highlights host‐related factors as the primary determinants of longevity in ET and provides a composite risk score (AAA + ) that is based on complete blood count‐derived parameters and host‐related factors. Predictive performance of the new model was shown to be superior to that of IPSET and AAA.