Overall survival in TP53-mutated AML and MDS.

TP53 mutations in patients with AML and MDS frequently portend a poor prognosis, related to both p53 allele status and blast count. In 2022, the ICC and WHO released updated guidelines for classifying p53-mutated AML/MDS. The characteristics of p53 mutations, their associated co-mutations, and their effects on overall survival (OS) are not known in the context of these new guidelines. A retrospective chart review was undertaken for all patients with AML or MDS and at least one TP53 mutation detected on next generation sequencing (NGS) at Yale New Haven Hospital from 2015 to 2023. All patients (N = 210) met criteria for one of the 5 diagnostic classes based on WHO and ICC guidelines. Kaplan-Meier curves with associated log-rank testing and Cox proportional hazards model quantified the effects of clinical and molecular data on survival. Multi-hit pathogenic mutations were related to poorer OS in MDS but not AML using either the WHO (p = .02) or the ICC (p = .01) diagnostic criteria. The most significant predictors of OS in the sample overall were platelet count < 50 K (HR: 2.01, 95% CI [1.47, 2.75], p < .001) and TP53 VAF ≤ 40% (HR: 0.68, 95% CI[0.50, 0.91], p = .01). Blast count ranges, complex karyotype, and p53 mutation type or location, showed no association with OS. In our cohort defined by the 2022 ICC and WHO criteria, VAF and thrombocytopenia, rather than blast count or p53 mutation features, significantly predicted OS. These results speak to each criteria's ability to identify cases of similarly aggressive disease biology and prognosis.

A comparative analysis of the clinical and genetic profiles of blast phase BCR::ABL1-negative myeloproliferative neoplasm and acute myeloid leukemia, myelodysplasia-related.

INTRODUCTION: The classic Philadelphia chromosome-negative myeloproliferative neoplasms (Ph (-) MPNs), have variable potential for progression to the blast phase (MPN-BP) of the disease. Except initiated by distinct driver mutations, MPN-BP frequently carry similar genetic abnormalities defining acute myeloid leukemia myelodysplasia-related (AML-MR). Because of dissimilar initial pathogenesis, MPN-BP and AML-MR are retained under different disease categories. To determine if separately classifying these entities is justified, we compare MPN-BP with AML-MR patients based on mutational landscape and clinical parameters. METHODS: 104 MPN-BP patients and 145 AML-MR patients were identified with available clinical, cytogenetic, and genetic data. RESULTS: AML-MR patients presented with a higher blast count (median, 51% vs. 30%) while MPN-BP patients had higher WBC counts, platelet counts and bone marrow cellularity (all p<0.0001). Patients with MPN-BP showed similar genetic mutations with similar mutation pattern (functional domain, hotspot and locus involved by the mutations) but a different mutation rate from AML-MR, with more frequent JAK2, CALR, MPL, ASXL1, IDH2, SETBP1 and SRSF2 mutations and less frequent TP53 and DNMT3A mutations. The overall survival (OS) of MPN-BP (OS post-BP-progression) is comparable to that of AML-MR (median OS, 9.5 months vs. 13.1 months, p=0.20). In addition, the subgroups of MPN-BP show similar OS as AML-MR. When harboring certain mutation such as TP53, ASXL1, DNMT3A, TET2, RUNX1, IDH1, IDH2, EZH2, U2AF1, BCOR and SRSF2, MPN-BP and AML-MR patients carrying the same somatic mutation show no difference in OS. CONCLUSION: MPN-BP and AML-MR harbor similar somatic mutations and clinical outcomes, suggesting a unified clinical disease entity.

T/myeloid mixed phenotype acute leukaemia harbouring TLX3::BCL11B with TLX3 activation.

T/myeloid mixed phenotype acute leukaemia (MPAL) is a rare aggressive acute leukaemia with poorly understood pathogenesis. Herein, we report two cases of T/myeloid MPAL harbouring BCL11B-associated structural variants that activate TLX3 (TLX3::BCL11B-TLX3-activation) by genome sequencing and transcriptomic analyses. Both patients were young males with extramedullary involvement. Cooperative gene alterations characteristic of T/myeloid MPAL and T-lymphoblastic leukaemia (T-ALL) were detected. Both patients achieved initial remission following lineage-matched ALL-based therapy with one patient requiring a lineage-switched myeloid-based therapy. Our study is the first to demonstrate the clinicopathological and genomic features of TLX3::BCL11B-TLX3-activated T/myeloid MPAL and provide insights into leukaemogenesis.

Genomic heterogeneity within B/T mixed phenotype acute leukemia in a context of an immunophenotype.

B/T mixed phenotype acute leukemia (MPAL) is a rare aggressive leukemia. Three cases of B/T MPAL were identified with comprehensive immunophenotypic, cytogenetic, and molecular studies. T-lineage predominant B/T MPAL shares a genetic signature with T-ALL whereas B/T lineage co-dominant B/T MPAL lacks such a T-ALL signature. All three patients were treated with lineage-matched-ALL therapy and alive at the last follow-up. Our study is the first to demonstrate molecular heterogeneity within B/T MPAL in a context of an immunophenotype of T-lineage versus B-lineage predominance. The implication of such a phenotype-genotype association on diagnostic classification is briefly discussed.

Optimization of Advanced Molecular Genetic Testing Utilization in Hematopathology: A Goldilocks Approach to Bone Marrow Testing.

PURPOSE: This study investigated the effectiveness of algorithmic testing in hematopathology at the Brigham and Women's Hospital and Dana-Farber Cancer Institute (DFCI). The algorithm was predicated on test selection after an initial pathologic evaluation to maximize cost-effective testing, especially for expensive molecular and cytogenetic assays. MATERIALS AND METHODS: Standard ordering protocols (SOPs) for 17 disease categories were developed and encoded in a decision support application. Six months of retrospective data from application beta testing was obtained and compared with actual testing practices during that timeframe. In addition, 2 years of prospective data were also obtained from patients at one community satellite site. RESULTS: A total of 460 retrospective cases (before introduction of algorithmic testing) and 109 prospective cases (following introduction) were analyzed. In the retrospective data, 61.7% of tests (509 of 825) were concordant with the SOPs while 38.3% (316 of 825) were overordered and 30.8% (227 of 736) of SOP-recommended tests were omitted. In the prospective data, 98.8% of testing was concordant (244 of 247 total tests) with only 1.2% overordered tests (3 of 247) and 7.6% omitted tests (20 of 264 SOP-recommended tests; overall P < .001). The cost of overordered tests before implementing SOP indicates a potential annualized saving of $1,347,520 in US dollars (USD) in overordered testing at Brigham and Women's Hospital/DFCI. Only two of 316 overordered tests (0.6%) returned any additional information, both for extremely rare clinical circumstances. CONCLUSION: Implementation of SOPs dramatically improved test ordering practices, with a just right number of ancillary tests that minimizes cost and has no significant impact on acquiring key informative test results.

Myeloid Proliferations Associated with Down Syndrome: Clinicopathologic Characteristics of Forty Cases from Five Large Academic Institutions.

INTRODUCTION: The incidence of myelodysplastic syndrome and acute myeloid leukemia is significantly increased in children with Down syndrome (DS). Within the revised 2016 WHO edition, these entities are jointly classified as myeloid leukemia associated with DS (ML-DS). Additionally, infants with DS may develop transient abnormal myelopoiesis (TAM) which is histomorphologically similar to ML-DS. While TAM is self-limiting, it is associated with an increased risk of subsequently developing ML-DS. Differentiating TAM and ML-DS is challenging but clinically critical. METHODS: We performed a retrospective review of ML-DS and TAM cases collected from five large academic institutions in the USA. We assessed clinical, pathological, immunophenotypical, and molecular features to identify differentiating criteria. RESULTS: Forty cases were identified: 28 ML-DS and 12 TAM. Several features were diagnostically distinct, including younger age in TAM (p < 0.05), as well as presentation with clinically significant anemia and thrombocytopenia in ML-DS (p < 0.001). Dyserythropoiesis was unique to ML-DS, as well as structural cytogenetic abnormalities aside from the constitutional trisomy 21. Immunophenotypic characteristics of TAM and ML-DS were indistinguishable, including the aberrant expression of CD7 and CD56 by the myeloid blasts. DISCUSSION: The findings of the study confirm marked biological similarities between TAM and ML-DS. At the same time, several significant clinical, morphological, and genetic differences were observed between TAM and ML-DS. The clinical approach and the differential diagnosis between these entities are discussed in detail.

Automated prediction of acute promyelocytic leukemia from flow cytometry data using a graph neural network pipeline.

OBJECTIVES: Our study aimed to develop a machine learning (ML) model to accurately classify acute promyelocytic leukemia (APL) from other types of acute myeloid leukemia (other AML) using multicolor flow cytometry (MFC) data. Multicolor flow cytometry is used to determine immunophenotypes that serve as disease signatures for diagnosis. METHODS: We used a data set of MFC files from 27 patients with APL and 41 patients with other AML, including those with uncommon immunophenotypes. Our ML pipeline involved training a graph neural network (GNN) to output graph-level labels and identifying the most crucial MFC parameters and cells for predictions using an input perturbation method. RESULTS: The top-performing GNN achieved 100% accuracy on the training/validation and test sets on classifying APL from other AML and used MFC parameters similarly to expert pathologists. Pipeline performance is amenable to use in a clinical decision support system, and our deep learning architecture readily enables prediction explanations. CONCLUSIONS: Our ML pipeline shows robust performance on predicting APL and could be used to screen for APL using MFC data. It also allowed for intuitive interrogation of the model's predictions by clinicians.

Genomic alterations in blast phase of BCR::ABL1-negative myeloproliferative neoplasms.

The blast phase of BCR::ABL1-negative myeloproliferative neoplasm (MPN-BP) represents the final stage of the disease, which is complicated by complex genomic alterations. These alterations result from sequence changes in genetic material (DNA, RNA) and can lead to either a gain or loss of function of encoded proteins, such as adaptor proteins, enzymes, components of spliceosomes, cell cycle checkpoints regulators, transcription factors, or proteins in cell signaling pathways. Interference at various levels, including transcription, translation, and post-translational modification (such as methylation, dephosphorylation, or acetylation), can contribute to these alterations. Mutated genes such as ASXL1, EZH2, IDH1, IDH2, TET2, SRSF2, U2AF1, TP53, NRAS, KRAS, PTPN11, SH2B3/LNK, and RUNX1 play active roles at different stages of genetic material expression, modification, and protein function manipulation in MPNs. These mutations are also correlated with, and can contribute to, the progression of MPN-BP. In this review, we summarize their common mutational profiles, functions, and associations with progression of MPN-BP.

Diagnosis and Classification of Myelodysplastic Syndromes with Mutated TP53.

The genetic underpinnings of myeloid neoplasms are becoming increasingly well understood. The accessibility to sequencing technology, in particular next-generation sequencing (NGS), has highlighted the importance of gene mutations in myelodysplastic syndromes (MDS) in conjunction with traditional cytogenetics. With the relatively recent influx of molecular information to complement known cytogenetic abnormalities, the diagnosis, classification, and prognosis of MDS and acute myeloid leukemia (AML) have been increasingly refined, which has also led to therapeutic advancements. It has been shown that TP53 mutations have a significant impact in cases of MDS, as well as AML, and have led to TP53-defined myeloid disease. TP53 mutations are also now incorporated into prognostic scoring systems, as patients have been shown to have aggressive disease and poor outcomes. With the increased understanding of the importance of TP53 disruption in myeloid neoplasia, it is likely that the critical role of TP53 will continue to be highlighted by an individual's disease classification and personalized therapeutic management.

Acute Myeloid Leukemia Arising from Myelodysplastic Syndromes.

Myelodysplastic syndromes (MDS) are a group of myeloid neoplasms characterized by clonal hematopoiesis and abnormal maturation of hematopoietic cells, resulting in cytopenias. The transformation of MDS to acute myeloid leukemia (AML) reflects a progressive increase in blasts due to impaired maturation of the malignant clone, and thus MDS and many AML subtypes form a biological continuum rather than representing two distinct diseases. Recent data suggest that, in addition to previously described translocations, NPM1 mutations and KMT2A rearrangements are also AML-defining genetic alterations that lead to rapid disease progression, even if they present initially with less than 20% blasts. While some adult patients <20% blasts can be treated effectively with intensive AML-type chemotherapy, in the future, treatment of individual patients in this MDS/AML group will likely be dictated by genetic, biological, and patient-related factors rather than an arbitrary blast percentage.

Programmed cell death ligand 1 expression associated with subtypes of post-transplant lymphoproliferative disorder among pediatric kidney transplant recipients.

BACKGROUND: Programmed cell death ligand 1 (PD-L1) expression on tumor cells engages the PD-1 receptor on T cells, inhibiting anti-tumor responses. PD-L1 has been detected in cases of post-transplant lymphoproliferative disorder (PTLD) but reports are limited. Here we examine PD-L1 expression and evaluate for clinical correlations. METHODS: Twenty-one cases of PTLD were identified among pediatric kidney transplant recipients at our institution from February 1996 to April 2017. Using paraffin-embedded tissue biopsies, we examined 21 primary tumors for expression using PD-L1 monoclonal antibody performed with PAX5 as a double stain. We scored expression of PD-L1 on lesional B-cells as a percentage of positive cells. Clinical course and outcome were obtained from retrospective chart review. RESULTS: Applying revised 2017 WHO PTLD classification showed five non-destructive, nine polymorphic, and seven monomorphic cases. Average PD-L1 expression based upon PTLD subtype was: non-destructive 11%, polymorphic 43%, and monomorphic 73% (p = .01). Two patients transferred shortly after diagnosis, five received chemotherapy, and three died from PTLD. Among the fatalities, all showed monomorphic PTLD and 90% of lesional B-cells expressed PD-L1. CONCLUSION: In this case series, significant differences in PD-L1 expression were seen among different subtypes, and monomorphic PTLD demonstrated the highest expression. Study of a larger cohort is needed, and if the correlation of PD-L1 expression and PTLD subtype is confirmed, this may highlight the potential utility of checkpoint inhibitor therapy in cases of severe or refractory disease among kidney transplant recipient in whom the risk of allograft loss is acceptable given the option of chronic dialysis.

Presence but not number of secondary type mutations influences outcome in de novo AML without MDS-associated or recurring cytogenetic abnormalities.

A group of gene mutations has been identified to be strongly associated with secondary acute myeloid leukemias (AML) arising from prior myeloid neoplasms. The International Consensus Classification (ICC) and proposed 5th edition of the World Health Organization (WHO) classification differ by inclusion of RUNX1. A recent study suggested that having two or more secondary mutations is associated with a particularly poor prognosis. In a study of 294 de novo AML patients, we found that patients with at least one ICC-defined secondary mutation had shorter survival when compared to those without secondary mutations, and ICC/WHO groups of two or more mutations did not predict for worse outcomes.

Advances in Flow Cytometry for Mixed Phenotype and Ambiguous Leukemias.

This review discusses recent updates in the diagnosis of acute leukemias of ambiguous lineage and emphasizes the necessary elements for proper flow cytometric evaluation of these cases. The current emphasis of the classification system is toward interpreting the marker expression in light of the intensity of lineage markers and avoiding a diagnosis of mixed phenotype acute leukemia based solely on immunophenotyping without considering underlying genetic findings. Novel entities including mixed phenotype acute leukemia with ZNF384 rearrangements and acute leukemias of ambiguous lineage with BCL11B rearrangements seem to show characteristic flow cytometric immunophenotypes discussed here.

Guide to the Diagnosis of Myeloid Neoplasms: A Bone Marrow Pathology Group Approach.

OBJECTIVES: The practicing pathologist is challenged by the ever-increasing diagnostic complexity of myeloid neoplasms. This guide is intended to provide a general roadmap from initial case detection, often triggered by complete blood count results with subsequent blood smear review, to final diagnosis. METHODS: The integration of hematologic, morphologic, immunophenotypic, and genetic features into routine practice is standard of care. The requirement for molecular genetic testing has increased along with the complexity of test types, the utility of different testing modalities in identifying key gene mutations, and the sensitivity and turnaround time for various assays. RESULTS: Classification systems for myeloid neoplasms have evolved to achieve the goal of providing a pathology diagnosis that enhances patient care, outcome prediction, and treatment options for individual patients and is formulated, endorsed, and adopted by hematologists/oncologists. CONCLUSIONS: This guide provides diagnostic strategies for all myeloid neoplasm subtypes. Special considerations are provided for each category of testing and neoplasm category, along with classification information, genetic testing requirements, interpretation information, and case reporting recommendations based on the experience of 11 Bone Marrow Pathology Group members.

SARS-CoV-2 Vaccination IgG Antibody Responses in Patients with Hematologic Malignancies in a Myeloid Enriched Cohort: A Single Center Observation.

OBJECTIVE: Patients diagnosed with hematologic malignancies are at increased risk for severe SARS-CoV-2 infection. We evaluated the serological IgG response following two doses of the SARS-CoV-2 vaccine in patients with hematologic malignancies. METHODS: Patients treated at UT Southwestern Medical Center with a diagnosis of a myeloid or lymphoid neoplasm were included. SARS-CoV-2 vaccination response was defined as a positive quantifiable spike IgG antibody titer. RESULTS: Sixty patients were included in the study and 60% were diagnosed with a myeloid neoplasm. The majority (85%) of the patients with a myeloid malignancy and 50% of the patients with a lymphoid malignancy mounted a serological response after receiving two doses of the vaccine. CONCLUSION: Vaccination should be offered irrespective of ongoing treatment or active disease. Findings require validation in a larger cohort of patients.

Acute leukemias with complex karyotype show a similarly poor outcome independent of mixed, myeloid or lymphoblastic immunophenotype: A study from the Bone Marrow Pathology Group.

Mixed phenotype acute leukemia (MPAL) is a heterogenous group of acute leukemias characterized by leukemic blasts that express markers of multiple lineages. The revised 4th edition WHO classification of MPAL excludes AML with myelodysplasia related changes (AML-MRC), including those with complex karyotype (CK), from a diagnosis of MPAL. Abnormal karyotype is frequent in MPAL with the reported rate of CK in MPAL ranging from 19% to 32%. Due its rarity, the clinical and genetic features of MPAL with CK remain poorly characterized. This study aims to further characterize the genetic features of MPAL with CK in comparison to cases of AML and ALL with CK. Cases of de novo MPAL, AML, and B- and T-ALL patients with CK were collected from 8 member institutions of the Bone Marrow Pathology Group. We found no significant difference in overall survival between MPAL with CK compared to AML and ALL with CK. AML with CK was more strongly associated with TP53 mutations, however the presence of TP53 mutations conferred a worse prognosis regardless of lineage. ALL with CK seems to show increased IKZF1 mutation rates which is known to confer a worse prognosis in ALL. Additionally, MPAL with CK showed similarly poor outcomes regardless of whether a lymphoid or myeloid chemotherapy regimen is chosen. Our results suggest that acute leukemias with complex karyotype show a similarly poor outcome regardless of lineage differentiation and that mutation in TP53 confers a poor prognosis in all lineages. Our results support the exclusion of immunophenotypic MPAL with CK from MPAL and appear to confirm the approach proposed in the revised 4th edition WHO to include them as AML with myelodysplasia-related changes and similar myelodysplasia-related AML categories of newer classifications.

Updates in molecular genetics of acute myeloid leukemia.

Acute myeloid leukemia (AML) is a type of cancer caused by aggressive neoplastic proliferations of immature myeloid cells that is fatal if untreated. AML accounts for 1.0% of all new cancer cases in the United States, with a 5-year relative survival rate of 30.5%. Once defined primarily morphologically, advances in next generational sequencing have expanded the role of molecular genetics in categorizing the disease. As such, both the World Health Organization Classification of Haematopoietic Neoplasms and The International Consensus Classification System now define a variety of AML subsets based on mutations in driver genes such as NPM1, CEBPA, TP53, ASXL1, BCOR, EZH2, RUNX1, SF3B1, SRSF2, STAG2, U2AF1, and ZRSR2. This article provides an overview of some of the genetic mutations associated with AML and compares how the new classification systems incorporate molecular genetics into the definition of AML.

Myeloid sarcoma with NPM1 mutation may be clinically and genetically distinct from AML with NPM1 mutation: a study from the Bone Marrow Pathology Group.

Myeloid sarcoma (MS) is currently considered equivalent to de novo acute myeloid leukemia (AML); however, the relationship between these entities is poorly understood. This retrospective multi-institutional cohort study compared 43 MS with NPM1 mutation to 106 AML with NPM1 mutation. Compared to AML, MS had more frequent cytogenetic abnormalities including complex karyotype (p = .009 and p = .007, respectively) and was enriched in mutations of genes involved in histone modification, including ASXL1 (p = .007 and p = .008, respectively). AML harbored a higher average number of gene mutations (p = .002) including more frequent PTPN11 mutations (p < .001) and mutations of DNA-methylating genes including DNMT3A and IDH1 (both p < .001). MS had significantly shorter overall survival (OS) than AML (median OS: 44.9 vs. 93.2 months, respectively, p = .037). MS with NPM1 mutation has a unique genetic landscape, and poorer OS, compared to AML with NPM1 mutation.

First study comparing genetic profiles of MS and AML with a common disease-defining lesion.NPM1^Mut MS may be genetically distinct from NPM1^Mut AML.NPM1^Mut MS may have inferior overall survival compared to NPM1^Mut AML.