Tessier, Steven

Abstract Background: TP53-mutated myeloid neoplasms (MNs) represent one of the most lethal subgroups of blood cancers. The World Health Organization (WHO-5) recognize TP53-mutated (TP53mut) myelodysplastic syndrome (MDS) and International Consensus Classification (ICC) recognize TP53mut MDS and acute myeloid leukaemia (AML) as distinct disease entities, acknowledging their dismal prognosis and the urgent need for novel therapeutic strategies. However, key discrepancies exist between the classifications, creating uncertainty in diagnosis, influencing therapeutic decisions, and complicating clinical trial enrolment for patients with uniformly poor survival. Importantly, neither classifications included TP53-mutated myelofibrosis (MF), other myeloproliferative neoplasms (MPN), and MDS/MPN overlap syndromes, despite growing evidence that these cases carry similar adverse outcomes. To address these critical gaps, we conducted a comprehensive analysis across the full spectrum of TP53-mutated MN. Methods: We included TP53mut cases with variant allele frequency (VAF ≥2%) of AML, MDS, MDS/MPN overlap, myelofibrosis and other MPN managed at the Mayo clinic (Rochester, USA) and Local Health Network in South Australia (Australia). Cases were classified according to the revised 4th edition WHO classification (WHO-4R). Biallelic TP53 loss was defined as: (i) ≥2 mutations with VAF ≥2%; (ii) single TP53mut with VAF ≥2% plus 17p loss on karyotype, FISH, or SNP array; or (iii) single TP53mut with VAF ≥50% with or without 17p loss. Monoallelic loss was defined as a single TP53mut with VAF <50% without 17p loss or copy neutral loss of heterozygosity. The primary endpoint was overall survival (OS) from diagnosis, censored at allogeneic transplantation. Conditional inference tree analysis was performed to define the effect of individual predictors on OS. Results: We identified 853 TP53mutMN cases including WHO-4R-defined AML (BM/PB blasts ≥20%, n=314; 36.8%), MDS with excess blasts-2 (EB-2; BM 10–19% or PB 5–19%, n=129; 15.1%), MDS-EB-1 (BM 5–9% or PB 2–4%, n=100; 11.7%), and MDS with low blasts (LB; BM <5% and PB <1%, n=228; 26.7%). MF included chronic phase (MF-CP, n=48; 5.6%), accelerated phase (MF-AP, n=7; 0.8%), and blast phase (MF-BP, n=17; 2.0%). Additional cases comprised other MPN-chronic phase (n=3, 0.4%) and MDS/MPN overlap syndromes (n=7, 0.8%). Of 848 evaluable TP53mut MN, 616 (72.6%) harbored biallelic TP53 loss and 232 (27.4%) had monoallelic loss, with 42.4% (n=98) of monoallelic cases harboring a complex karyotype (CK). Biallelic loss was highly prevalent in AML (83.1%), MDS (70.4%), and MDS/MPN overlap (71.4%), but was less frequent in cases with MPN (33.3%) and MF-chronic phase (25.0%). Across the spectrum, the frequency of biallelic loss increased stepwise with disease progression, rising from MDS-LB (62.8%) to MDS-EB1 (76.0%), MDS-EB2 (79.5%), AML (83.1%), and MF-AP/BP (79.2%) (P<0.0001). In multivariable analysis, WHO-4R category, TP53mut VAF, biallelic loss and CK were independent predictors of poor survival in TP53mut MN. Conditional inference tree analysis stratified the cohort into seven prognostic groups with distinct median OS: (1) AML, MF-BP/AP, and MDS/MPN overlap regardless of mono/biallelic and CK status (n=335, 39.7%; median OS 4.0 months); (2) MDS-EB1/EB2 with biallelic loss or monoallelic plus CK (n=212, 25.1%; 7.2 months); (3) MDS-LB, MF-CP and MPN with CK (n=156, 18.5%, OS 10.2 months); (4) biallelic MDS-LB (n=28, 3.3%; OS 15.6 months), (5) monoallelic MDS-EB1/EB2 without CK (n=20, 2.4%; OS 26.2 months), (6) monoallelic MDS-LB without CK (n=57, 6.7%; OS 33.4 months), and (7) MF-CP and other MPN without CK (n=36, 4.3%; OS 37.0 months). This analysis defines a clear stepwise risk gradient, identifying subsets with extremely poor prognosis versus a relatively indolent disease. Conclusions: This is the first study to evaluate the prognostic impact of TP53mut MN across the entire MN spectrum, providing a framework for future refinement of TP53-driven disease classification. Key findings include: (i) MF-AP/BP and MDS/MPN overlap exhibit survival outcomes as dismal as AML, irrespective of the TP53 allele status; and (ii) complex karyotype is a surrogate for “biallelic equivalent”, refining risk interpretation in monoallelic cases. Overall, our study defines seven prognostic subgroups spanning all TP53mut MN, offering a foundation for risk-adapted clinical trial design and future classification updates.

Abstract Background: Mutations in ethanolamine kinase-1 (ETNK1) have been identified in a wide range of myeloid neoplasms (MN), but their clinical significance remains poorly defined. Key gaps remain, including the true prevalence, variant- and disease-specific co-mutation patterns, cytogenetic patterns, and prognostic impact, highlighting the need for broader multi-institutional studies to refine our understanding and risk stratification. We present findings from an ongoing multi-institutional study of ETNK1-mutated (ETNK1mut) MN. Methods We analyzed 106 patients with ETNK1mut MN across the Mayo Clinic Comprehensive Cancer Center (Minnesota, Arizona, and Florida), H. Lee Moffitt Cancer Center (Tampa, FL), Massachusetts General Hospital (Boston, MA), and University of Milano-Bicocca (Monza, Italy), integrating clinical, hematologic, cytogenetic, and next-generation sequencing (NGS) data. Appropriate IRB approval was obtained. Diagnoses were assigned by the 5th edition of the World Health Organization and 2022 European LeukemiaNet criteria. A clone was considered dominant if it had the highest variant allele frequency (VAF) or VAF within 5% of the highest co-mutation. Overall survival (OS) was assessed by Kaplan-Meier. Comparison cohorts for OS included 83 ETNK1 wild-type (ETNK1wt) myelodysplastic syndrome (MDS) and 415 ETNK1wt acute myeloid leukemia (AML) patients without TP53 mutations. GraphPad Prism v10 was used for statistical analysis. Results Median age at diagnosis was 70 years (range 30.4-90), with a male predominance of 72.6% (n=77). ETNK1mut were identified in MDS (n=47, 44.3%), myelodysplastic/myeloproliferative neoplasms (MDS/MPN; n=23, 21.7%), myeloproliferative neoplasms (MPN; n=13, 12.3%), AML (n=12, 11.3%), clonal cytopenia of undetermined significance (CCUS; n=5, 4.7%), and other entities (n=6, 5.7%) including atypical chronic myeloid leukemia (n=1) and systemic mastocytosis (n=1). Over a median follow-up of 33.6 months (IQR 15-91.8), 49.1% (n=52) patients died and 19.4% (n=18 of 93 at risk) progressed to AML. Cytogenetics were available in 103 patients; 57.3% (n=59) had a normal karyotype, while 30.1% (n=31) had abnormal and 12.6% (n=13) had complex karyotypes. None harbored classical MDS-associated deletions such as del(5q), del(7q), or del(20q). The most frequent cytogenetic abnormalities included translocations (n=17), monosomy 7 (n=9), and trisomy 8 (n=8). Of 17 translocations, 8 (47%) involved chromosome 1, two of which (11.8%) involved der(1;7)(q10;p10). The most common ETNK1 mutation was N244S (n=70, 66.0%), followed by K378N (n=12, 11.3%) and G245 variants (n=9, 8.5%), including G245V and G245D. VAF data were available for 103 patients; the median ETNK1 VAF was 31.4% (range 2.0-54.8%). High VAF (≥40%) was observed in 27.2% (n=28) of patients. ETNK1 was the dominant mutation in 33% (n=34) of cases, shared equal dominance with a co-mutation in 13% (n=14), and was a subclone in 56% (n=58). Co-mutations were detected in 77% (n=82) of patients, with a median of 4 (range 0-13) co-mutated genes. A third of patients (n=37, 35%) had ≥5 co-mutations. The most frequently co-mutated genes were epigenetic regulators including ASXL1 (n=29, 27%), TET2 (n=17, 16%), EZH2 (n=12, 11%), and DNMT3A (n=12, 11%), followed by splicing factor genes including U2AF1 (n=13, 12%), SRSF2 (n=10, 9%), and ZRSR2 (n=10, 9%). Mutations in signaling genes (JAK2, NRAS, SETBP1) and transcription factors (RUNX1, BCOR) were also observed. High VAFs were seen in co-mutations of EZH2 (median 49%), TET2 (46%), and NRAS (46%). ASXL1 was most enriched in MDS/MPN (n=8, 35%) and MPN (n=3, 23%). Survival analysis showed better survival in ETNK1mut compared to ETNK1wt within AML (65 vs 19 months; p=0.2002) and MDS (107 vs 61 months; p=0.1993), although statistical significance was not reached. Conclusion ETNK1 mut frequently co-occur with mutations in epigenetic and splicing regulators, and demonstrate distinct molecular and cytogenetic features, including the absence of classic MDS-associated deletions and a high prevalence of translocations involving chromosome 1. ETNK1 was the dominant clone in a third of cases with a high co-mutation burden. Overall survival was better in ETNK1mut AML and MDS, but the difference was not statistically significant. These findings highlight the need for larger collaborative studies.

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.

Mesenchymal dendritic cell neoplasms represent a distinct category of hematologic malignancies that challenge traditional classifications of histiocytic and classical dendritic/Langerhans cell neoplasms. Historically grouped under the broader umbrella of dendritic cell neoplasms, these entities differ significantly in their ontogeny, histopathologic features, molecular alterations, and clinical behavior. They are categorized into three main subtypes including follicular dendritic cell sarcoma, fibroblastic reticular cell tumor, and EBV-positive inflammatory follicular dendritic cell sarcoma/fibroblastic reticular cell tumor. They originate from mesenchymal stromal cells, and genetic alterations activating the NF- κβ pathway are frequent in follicular dendritic cell sarcomas. Immunophenotypic characterization is critical to distinguish these from other hematologic malignancies including histiocytic and classical dendritic/Langerhans cell neoplasms and other solid (non-hematopoietic) cancers. This review recapitulates current knowledge on existing classifications, details their diverse ontogeny from classical dendritic cell neoplasms, and provides insights into their clinicopathologic characteristics to improve diagnostic accuracy. We detail two case studies that demonstrate the challenges involved in the histopathologic diagnosis of these rare tumors, necessitating a comprehensive workup. Integrating developmental biology into practical diagnostic algorithms is essential to improve recognition and classification of these underdiagnosed neoplasms, ultimately guiding timely management.

Background: Erdheim-Chester Disease (ECD) is an exceedingly rare inflammatory myeloid neoplasm characterized by infiltration and accumulation of clonal histiocytes within multiple organ systems. These histiocytes usually carry gain-of-function mutations that affect the MAPK-ERK or PI3K-AKT pathways. The most common mutation is BRAFV600E, occurring in greater than 50% of patients, often with a low variant allele frequency (i.e. <5%). ECD presents as a spectrum of clinical manifestations that include symmetric osteosclerosis of the distal femora and proximal tibiae and/or fibulae (almost always present), ataxia from cerebellar/brainstem involvement, diabetes insipidus, periorbital xanthelasmas, pleuropulmonary disease, pseudotumor of the right atrioventricular groove, encasement of the (coated) aorta, and retroperitoneal involvement with ‘hairy’ kidneys. Patients may be asymptomatic or critically ill. Treatment options include targeted agents like BRAF or MEK inhibitors, as well as systemic agents such as interferon or chemotherapy. A recent combined report from France and Italy suggested incidence rates of 3.5 per 10 million adults (not age-adjusted). ECD was officially considered a hematopoietic malignancy by the World Health Organization in 2016 and a reportable cancer in the United States (US) beginning in 2021. For the first time, we report the incidence of ECD in the US. Methods: We obtained ECD data in 2021, the only year available so far, from the Surveillance Epidemiology and End Results (SEER) program. The SEER program prospectively collects data from population-based cancer registries covering about 48% of the US population and is updated annually. Data elements include patient demographics, primary tumor site, tumor morphology and stage at diagnosis, first course of treatment, and follow-up for vital status. Twentytwo cancer registries (SEER 22) were included and screened for cases with the ECD International Classification of Diseases for Oncology (ICD-O) code 9749/3 for inclusion in this study. We used SEERstat version 8.4.3 to calculate the annual incidence. All incidence rates were age-adjusted to the 2000 US standard population. Confidence intervals (CI; 95%) were provided whenever available. Results: In 2021, SEER documented 16 patients diagnosed with ECD. The median age at diagnosis was 52 years (range, 25-74). The most common age range at diagnosis was 55-59 years (31%). There was an even distribution of sexes (53% male), but greater proportion of minority patients (38% non-Hispanic White, 25% non-Hispanic Black, 25% Hispanic, 6% Asian/Pacific Islander, 6% unknown race/ethnicity). Most patients (94%) were diagnosed in large metropolitan areas. The overall incidence rate was 0.9 [CI: 0.2-5.2] per 10 million population. The incidence rates for various demographic subgroups were as follows (per 10 million): males (1.0 [0.4-1.9]), females (0.8 [0.4-1.7), non-Hispanic Blacks (1.9 [0.5-5.2]), Hispanic (1.1 [0.3-2.8]), non-Hispanic Whites (0.5 [0.2-1.2]), Asian/Pacific Islander (0.5 [0.0-3.4]), and ages 25-74 years (1.5 [0.8 - 2.5]). The most reported primary site was subcutaneous (25%), followed by bone (19%) and breast (19%). A greater number of cases had distant disease (56%; 31% localized, 13% unknown). Almost half of the patients received chemotherapy (44%) and few underwent radiation (13%) or surgery (13%). Conclusion: We report the first estimate of ECD incidence in the US, highlighting the rarity of this entity. It should be noted that our reported incidence rates are likely underestimated. This could be due to the COVID-19 pandemic that resulted in social quarantine from 2020-2021. ECD is also a very challenging diagnosis to make. Future investigations of annual SEER updates and collective incidence data over several years will be required to strengthen our findings and further characterize the epidemiological features of ECD in the US.