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e18590 Background: TP53 mutations ( TP53 MUT ) are known to be associated with adverse prognosis in acute myeloid leukemia (AML) and multihit TP53 MUT in myelodysplastic syndromes (MDS). The prognostic relevance of multihit TP53 MUT in myeloproliferative neoplasms (MPN) was recently highlighted. The current study illustrates survival comparisons in multihit TP53- mutated MPN vs. AML and analysis of associated risk factors. Methods: A Mayo Clinic enterprise-wide database search identified 61 MPN and 81 AML cases with multihit TP53 MUT . Conventional statistical methods were used for analyses. Results: 142 patients with multihit TP53 MUT were 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, not including MPN-BP (N=81). Concomitant ASXL1 MUT , EZH2 MUT , IDH1 MUT and IDH2 MUT were more common in MPN-BP, compared to AML. At a median follow up of 0.6 years, 124 (87%) deaths and 19 (13%) allogeneic stem cell transplantations (ASCT) were documented. Overall survival (OS), calculated from time of TP53 MUT detection was similar between MPN-BP (median 4.6 months) and MPN-AP (5.6 months; p=0.5). OS in MPN-BP/AP (median 4.8 months) was inferior to that of AML (median 7.4 months; p=0.04) while that of MPN-CP (median 11.6 months) was similar to AML (0.07) but superior to that of MPN-BP/AP (p<0.01). Age-adjusted multivariable analysis (MVA) confirmed the independent prognostic significance of undergoing ASCT (HR 0.4, p=0.03), MPN-CP or achieving response to pre-transplant therapy (HR 0.2, p<0.01), and concurrent TET2 MUT or DNMT3A MUT (HR 2.7, p<0.01) on OS. Based on these risk factors, a 3-tiered risk model was constructed: low (no risk factors; N=18; median OS 23.8 months); intermediate (1 risk factor; N=44; median 11.1 months); and high (2 or more risk factors; N=80; median 4 months; p<0.01). Comparative analysis of risk factors among distinct diseases confirmed the prognostic significance of ASCT (HR 0.3, p=0.03), achieving response to pre-transplant therapy (0.4, p<0.01) and concurrent TET2 MUT or DNMT3A MUT (HR 5.0, p<0.01) in AML. In MPN AP/BP, OS was influenced by having received chemotherapy vs. supportive care (HR 0.1; p<0.01) and achieving response to pre-transplant therapy (0.2, p<0.01). No significant risk factors for OS were identified in MPN-CP. In MVA, ASCT did not appear to influence OS in MPN AP/BP (p=0.7) and MPN-CP (p=0.4) but the number of informative cases was too low to make definitive conclusions. Conclusions: The current study highlights the equally detrimental impact of multihit TP53 MUT in securing long-term survival in MPN and AML. Short-term survival was positively influenced by ASCT, at least in AML, and disease stage or remission status at time of mutation detection and ASCT, respectively.

e18600 Background: Recent studies have suggested that basophilia in myeloproliferative neoplasms (MPN), in general, and in primary myelofibrosis (PMF), in particular, might be associated with poor prognosis. In the current study, we examined for clinical and genotype correlates as well as the prognostic impact of absolute eosinophil (AEC) and basophil (ABC) counts in essential thrombocythemia (ET) and polycythemia vera (PV). Methods: Diagnostic criteria were according to the International Consensus Classification. Study patients were selected based on the availability of information on AEC and ABC. Institutional reference range for AEC was 0.03 to 0.48 x 10 9 /L and for ABC 0.01 to 0.08 x 10 9 /L. "Eosinophilia" was defined as an AEC of ≥0.5 x 10 9 /L. "Basophilia" was evaluated both at an ABC of ≥0.1 x 10 9 /L and ABC of ≥0.3 x 10 9 /L, the latter representing 3 x the upper limit of the normal reference range. Results: Essential thrombocythemia 660 patients were considered. Median (range) values for AEC and ABC were 0.2 x 10 9 /L (0-2.8) and 0.07 x 10 9 /L (0-1.7), respectively. On univariate analysis, AEC and ABC, as continuous variables, were predictive of inferior overall (OS; p<0.01 for both) but not leukemia-free (LFS), myelofibrosis-free (MFFS), venous thrombosis-free (VTFS), or arterial thrombosis-free (ATFS) survival. In univariable analysis, AEC ≥0.5 x 10⁹/L and ABC ≥0.1 x 10⁹/L negatively impacted OS (p<0.01 for both); significance was sustained during multivariate analysis that included IPSET risk variables: AEC ≥0.5 x 10⁹/L (p<0.01; HR 1.9) and ABC ≥0.1 x 10 9 /L (p<0.01; HR 1.7). Polycythemia vera 478 patients were considered. Median (range) values for AEC and ABC were 0.27 x 10 9 /L (0-6.5) and 0.12 x 10 9 /L (0-3.2), respectively. In univariable analysis, neither AEC nor ABC, as continuous variables were predictive of OS, LFS, MFFS, VTFS, or ATFS. AEC ≥0.5 x 10⁹/L also did not have any impact on disease progression or thromboses. However, ABC ≥0.1 x 10 9 /L was associated with a lower risk of post-diagnosis arterial thrombosis (p=0.03; HR 0.6), and ABC ≥0.3 x 10 9 /L was predictive of inferior LFS (p<0.01; HR 6.5) and MFFS (p<0.01; HR 2.5). ABC ≥0.3 x 10 9 /L sustained prognostic relevance in LFS (p<0.01; HR 7.6) during multivariable analysis that included leukocytosis, platelet count, basophil percentage, age, and palpable splenomegaly. Similar findings were noted with regards to MFFS for ABC ≥0.3 x 10 9 /L (p=0.01; HR 2.3) when compared against palpable splenomegaly and age. Conclusions: The current study suggests that AEC ≥0.5 x 10 9 /L and ABC ≥0.1 x 10 9 /L in ET are independently associated with shortened overall survival, while basophilia (ABC ≥0.3 x 10 9 /L) in PV is an independent predictor of leukemic and myelofibrotic disease progression.

We sought to develop a survival model in chronic myelomonocytic leukemia (CMML) that is primarily based on clinical variables and examine additional impact from mutations and karyotype. 457 molecularly-annotated patients were considered. Multivariable analysis identified circulating Blasts ≥2% (1 point), Leukocytes ≥13 x 109/L (1 point), and severe (2 points) or moderate (1 point) Anemia as preferred risk variables in developing a clinical risk Stratification Tool for overall survival (OS), acronymized to "BLAST": low-risk (0 points; median 63 months); intermediate-risk (1 point; median 28 months; HR 2.2, 95% CI 1.6-3.0), and high-risk (2-4 points; median 13 months; 5.4, 4.1-7.3); the corresponding 3/5 year OS rates were 68%/53%, 43%/18%, and 12%/1%. BLAST model performance (AUC 0.77/0.85 at 3/5-years) was shown to be comparable to that of the molecular CMML-specific prognostic scoring system (CMML-mol; AUC 0.73/0.75) and the international prognostic scoring system-molecular (IPSS-M; AUC 0.73/0.74). Multivariable analysis of mutations and karyotype identified PHF6MUT and TET2MUT as being "favorable" and DNMT3AMUT, U2AF1MUT, BCORMUT, SETBP1MUT, ASXL1MUT, NRASMUT, PTPN11MUT, RUNX1MUT, TP53MUT, and adverse karyotype, "unfavorable". Molecular information was subsequently encoded in a combined clinical-molecular risk model (BLAST-mol; AUC 0.80/0.86 at 3/5-years) that included the aforementioned BLAST clinical risk variables and a 3-tiered molecular risk score. BLAST and BLAST-mol were subsequently validated by two separate external cohorts. Independent risk factors for blast transformation included DNMT3AMUT, ASXL1MUT, PHF6WT, leukocytes ≥13 x 109/L, and ≥2% circulating or ≥10% bone marrow blasts. The current study proposes an easy to implement, globally applicable, and molecularly adaptive risk model for CMML.

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.

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.

Abstract Adult primary leptomeningeal gliomatosis (PLG) is a rare, rapidly progressive and fatal disease characterized by prominent leptomeningeal infiltration by a glial tumor without an identifiable parenchymal mass. The molecular profile of adult PLG has not been well‐characterized. We report the clinical, pathological, and molecular findings of six adult PLG patients (five males and one female), median age 58 years. All cases exhibited pathological leptomeningeal enhancement at presentation. Leptomeningeal biopsy was diagnostic in five (of six) cases, revealing infiltration by an astrocytic glioma with mitotic activity, lacking microvascular proliferation or necrosis. One case was diagnosed at autopsy. All tumors were IDH‐wildtype, with five harboring TERT promoter mutations. Additional mutations identified were PTEN in one case, TP53 in two cases, and NF1 in two cases. A chromosome profile with +7/−10 was found in four cases, whereas the remaining two showed either chromosome 7 or 7p gain only. Four cases showed chromosome 9p loss with CDKN2A/B homozygous deletion, one case showed hemizygous CDKN2A/B loss, and one case showed intact chromosome 9 and CDK4/GLI1 amplification. DNA methylation profiling was performed in four cases and revealed a match to glioblastoma (GBM) family and mesenchymal typical class with high confidence scores in two cases; the other two cases showed only suggestive combined scores for GBM family and mesenchymal atypical class. The molecular profile of all cases closely aligned with that of adult‐type GBM, IDH‐wildtype, CNS WHO grade 4. All patients succumbed to the disease. In five cases with extensive leptomeningeal disease at diagnosis, the course was rapid, with median survival of 24 days following palliative care. Only one case, with relatively localized disease at diagnosis, received chemoradiation therapy and survived 535 days, raising the possibility that early diagnosis and timely treatment could improve outcome. A detailed list of previously reported cases is provided in a supplementary table.

Background: Multiple myeloma (MM) is an incurable plasma cell malignancy with several recurrent primary cytogenetic abnormalities including t(11,14)(q13;q32), resulting in increased expression of CCND1. Although 40% of patients with t(11;14) MM respond favorably to the BCL-2 inhibitor venetoclax (ven), 60% fail to achieve an objective response. Previous studies have suggested upregulation of PMAIP1, encoding the pro-apoptotic NOXA protein, in association with ven sensitivity (Leblay, Blood, 2024). Here we sought to evaluate the role for NOXA in ven response in t(11;14) MM. Methods: We analyzed whole exome, whole genome and RNA sequencing data of CD138+ tumor cells from 1,359 patients with MM in the CoMMpass and Mayo Clinic cohorts. The histone mark H3K27ac was assessed in t(11;14)+ KMS12PE and U266B1 human myeloma cell lines using ChIP-seq. Gene expression and protein levels of PMAIP1 (NOXA) were also detected by qRT-PCR and Western blot, respectively. Live cell detection was evaluated by Annexin V and PI using flow cytometry and by YoYo3 dye using IncuCyte following treatment with ven. Results: The t(11;14) MM subtype was associated with a 1.6-5.5-fold increased expression of PMAIP1 compared to non-t(11,14) MM in the CoMMpass and Mayo Clinic cohorts (p&lt;0.0001). These findings are consistent with a significant correlation between CCND1 and PMAIP1 expression in both cohorts (p&lt;0.001). To evaluate whether cyclin D1 is directly associated with increasing expression of PMAIP1 in t(11;14) MM, we generated a cyclin D1 knock out (KO) version of the U266B1 line using CRISPR/cas9. Two independent U266B1 KO cell lines showed reduced expression of PMAIP1 and NOXA protein compared to the WT U266B1 consistent with a role for cyclin D1 in regulating PMAIP1 expression. In addition, the KO lines had a 4.8-fold reduced H3K27ac signal at the PMAIP1 locus in comparison to the WT control suggesting a role for cyclin D1 in promoting H3K27ac. We previously observed increased expression of CCND1 in association with the G allele compared to the A allele of rs9344 in both the CoMMpass and Mayo Clinic cohorts (Leukemia, in press). We next asked whether the G risk allele of rs9344 within CCND1 impacted gene expression and H3k27ac levels at the PMAIP1 locus. To study the allele specific effect of CCND1, we used the CRISPR/cas9 edited KMS12PE WT (rs9344 AA) and Knock In (KI) (rs9344 GG) cell lines. In the KI cells, the G allele was accompanied by an ~2-fold increased expression of PMAIP1 and NOXA protein detected by western blot (&lt;0.05). Increased PMAIP1 expression in KI lines was also accompanied by a 2.2-fold increased H3K27ac further suggesting a role for the G allele of rs9344 in promoting H3K27ac and gene expression at the PMAIP1 locus. Finally, we evaluated the consequence of PMAIP1 expression levels in relation to ven response. Increased expression of PMAIP1 and elevated levels of NOXA protein in the KMS12PE KI lines was associated with increased sensitivity to ven resulting in ~50% increase in cell death of KI vs. WT lines (p&lt;0.02). Conclusion: We demonstrate a role for cyclin D1 in regulating PMAIP1 expression through H3K27ac resulting in increased NOXA protein. Levels of NOXA are associated with the G allele of rs9344 and increased venetoclax response.

Background Abnormal karyotype is not infrequent in polycythemia vera (PV) and has been associated with shortened survival (BJH 2018;182:437). In the current study, we utilized a large institutional database, in order to describe the spectrum and prevalence of specific cytogenetic abnormalities in PV, during different stages of the disease, and examine their clinical, molecular, and prognostic correlates, in the context of previously established risk factors. Methods After institutional review board approval, we identified 669 cytogenetically-annotated patients with PV, evaluated at the Mayo Clinic between 1973 and 2023, and met the International Consensus Classification diagnostic criteria (Arber et al. Blood 2022;140;1200). Cytogenetic reporting was in accordance with the International System for Human Cytogenomic Nomenclature. Results i) Prevalence of cytogenetic abnormalities at diagnosis and at different stages of the disease 436 of 669 (65%) patients with PV underwent cytogenetic evaluation within one year of diagnosis, 116 (17%) within 1-10 years, 47 (7%) after 10 years, and 70 (10%) at time of fibrotic or leukemic transformation. In patients with cytogenetic information obtained within 1 year of diagnosis, karyotype was normal in 369 (85%), showed loss of Y chromosome (-Y) in 15 (3%), and other abnormalities in 52 (12%). Most common abnormalities included trisomy 9 (n=11; 3%), del(20q) (n=10; 2%), trisomy 8 (n=4; 1%), other sole abnormalities (n=16; 4%), and ≥ 2 abnormalities (n=11; 3%) including complex karyotype (n=4; 0.9%). Frequency of abnormal karyotype was higher with longer disease duration; 15% within a year of diagnosis, 28% in 1-10 years, 49% over 10 years after diagnosis, and 50% at time of fibrotic or leukemic transformation (p&lt;0.01). Sole del (20q), single abnormalities excluding 20q-, +8, +9, or -Y, and ≥ 2 abnormalities including complex karyotype were progressively acquired; respective frequencies within a year of diagnosis, over 10 years after diagnosis, and at time of fibrotic or leukemic transformation were 2%/21%/10% (del (20q), 4%/17%/14% (single abnormality excluding 20q-, +8, +9, or -Y), 3%/11%/19% (≥ 2 abnormalities), 1%/ 2%,/10% (complex karyotype) (all p-values &lt;0.01). In addition, sole +8 displayed highest frequency at fibrotic transformation compared to within a year of diagnosis (5% vs 0.9%; p=0.04). ii) Phenotypic and Molecular Correlates 436 patients with PV (51% males; median age; 64 years) who underwent cytogenetic testing within one year of diagnosis were examined for clinical and molecular correlations. Abnormal karyotype compared to normal karyotype, correlated with older age (median: 70 vs 63 years, p&lt;0.01), male gender (64% vs 48%, p=0.02) and lower platelet count (370 vs 465 × 109/L, p&lt;0.01). Sole del (20q) compared to normal karyotype was associated with older age (median: 76 vs 63 years, p&lt;0.01); sole +8 exclusively occurred in patients ≥ 60 years (p=0.03); sole +9 was associated with venous thrombosis history (45% vs 17%, p=0.03). TET2 and SRSF2 mutations were found to cluster with normal karyotype (18% vs 4%; p=0.04 and 5% vs 0%; p=0.14 in normal vs abnormal karyotype, respectively). iii) Prognostic Impact of Cytogenetic Abnormalities At a median follow-up of 7.4 years (range; 0.04-42.4 years), a total of 163 (37%) patients have died, 50 (11%) and 14 (3%) underwent fibrotic and leukemic transformation, respectively. In univariate analysis for overall survival (OS), abnormal karyotype compared to normal karyotype, was associated with inferior survival (median OS; 10.5 vs 16.3 years, p&lt;0.01). In multivariate analysis, the adverse impact of abnormal karyotype remained significant (p=0.02; HR 2.0, 95% CI 1.2-3.3), along with age ≥60 years, leukocyte count ≥15 × 109/L, and SRSF2 mutations. Abnormal karyotype was also an independent predictor of myelofibrosis-free survival (p&lt;0.01; HR 3.7, 95% CI 1.8-7.8), along with SRSF2 mutations. Analysis of leukemia-free survival revealed abnormal karyotype to be a significant risk factor in univariate (p&lt;0.01), but not multivariate analysis that included SRSF2 mutation (p&gt;0.1). Conclusions The current study provides the distribution of cytogenetic abnormalities at different stages of PV and affirms the prognostic significance of abnormal karyotype at the time of diagnosis, highlighting the importance of incorporating cytogenetic studies in the diagnostic evaluation of PV.