Cassandra M. Hirsch

Dynamics of clonal evolution in myelodysplastic syndromes

To elucidate differential roles of mutations in myelodysplastic syndromes (MDS), we investigated clonal dynamics using whole-exome and/or targeted sequencing of 699 patients, of whom 122 were analyzed longitudinally. Including the results from previous reports, we assessed a total of 2,250 patients for mutational enrichment patterns. During progression, the number of mutations, their diversity and clone sizes increased, with alterations frequently present in dominant clones with or without their sweeping previous clones. Enriched in secondary acute myeloid leukemia (sAML; in comparison to high-risk MDS), FLT3, PTPN11, WT1, IDH1, NPM1, IDH2 and NRAS mutations (type 1) tended to be newly acquired, and were associated with faster sAML progression and a shorter overall survival time. Significantly enriched in high-risk MDS (in comparison to low-risk MDS), TP53, GATA2, KRAS, RUNX1, STAG2, ASXL1, ZRSR2 and TET2 mutations (type 2) had a weaker impact on sAML progression and overall survival than type-1 mutations. The distinct roles of type-1 and type-2 mutations suggest their potential utility in disease monitoring.

Genomic determinants of chronic myelomonocytic leukemia

The biology, clinical phenotype and progression rate of chronic myelomonocytic leukemia (CMML) are highly variable due to diverse initiating and secondary clonal genetic events. To determine the effects of molecular features including clonal hierarchy in CMML, we studied whole-exome and targeted next-generation sequencing data from 150 patients with robust clinical and molecular annotation assessed cross-sectionally and at serial time points of disease evolution. To identify molecular lesions unique to CMML, we compared it to the related myeloid neoplasms (N=586), including juvenile myelomonocytic leukemia, myelodysplastic syndromes (MDS) and primary monocytic acute myeloid leukemia and discerned distinct molecular profiles despite similar pathomorphological features. Within CMML, mutations in certain pathways correlated with clinical classification, for example, proliferative vs dysplastic features. While most CMML patients (59%) had ancestral (dominant/co-dominant) mutations involving TET2, SRSF2 or ASXL1 genes, secondary subclonal hierarchy correlated with clinical phenotypes or outcomes. For example, progression was associated with acquisition of new expanding clones carrying biallelic TET2 mutations or RAS family, or spliceosomal gene mutations. In contrast, dysplastic features correlated with mutations usually encountered in MDS (for example, SF3B1 and U2AF1). Classification of CMML based on hierarchies of ancestral and subclonal mutational events may correlate strongly with clinical features and prognosis.

Adding molecular data to prognostic models can improve predictive power in treated patients with myelodysplastic syndromes

Adding molecular data to prognostic models can improve predictive power in treated patients with myelodysplastic syndromes

Complete mutational spectrum of the autophagy interactome: a novel class of tumor suppressor genes in myeloid neoplasms

Complete mutational spectrum of the autophagy interactome: a novel class of tumor suppressor genes in myeloid neoplasms

Molecular features of early onset adult myelodysplastic syndrome

Myelodysplastic syndromes are typically diseases of older adults. Patients in whom the onset is early may have distinct molecular and clinical features or reflect a demographic continuum. The identification of differences between “early onset” patients and those diagnosed at a traditional age has the potential to advance understanding of the pathogenesis of myelodysplasia and may lead to formation of distinct morphological subcategories. We studied a cohort of 634 patients with various subcategories of myelodysplastic syndrome and secondary acute myeloid leukemia, stratifying them based on age at presentation and clinical parameters. We then characterized molecular abnormalities detected by next-generation deep sequencing of 60 genes that are commonly mutated in myeloid malignancies. The number of mutations increased linearly with age and on average, patients >50 years of age had more mutations. TET2, SRSF2, and DNMT3A were more commonly mutated in patients >50 years old compared to patients ≤50 years old. In general, patients >50 years of age also had more mutations in spliceosomal, epigenetic modifier, and RAS gene families. Although there are age-related differences in molecular features among patients with myelodysplasia, most notably in the incidence of SRSF2 mutations, our results suggest that patients ≤50 years old belong to a disease continuum with a distinct pattern of early onset ancestral events.

Molecular predictors of response in patients with myeloid neoplasms treated with lenalidomide

Molecular predictors of response in patients with myeloid neoplasms treated with lenalidomide

High prevalence and allele burden-independent prognostic importance of p53 mutations in an inner-city MDS/AML cohort

High prevalence and allele burden-independent prognostic importance of p53 mutations in an inner-city MDS/AML cohort

Origins of myelodysplastic syndromes after aplastic anemia

To the editor: The course of aplastic anemia (AA) is often complicated by the development of clonal disorders such as paroxysmal nocturnal hemoglobinuria (PNH) and secondary myelodysplastic syndromes (sMDS).[1][1][⇓][2][⇓][3][⇓][4]-[5][5] Identification of patients at risk for development of

The complexity of interpreting genomic data in patients with acute myeloid leukemia

Acute myeloid leukemia (AML) is a heterogeneous neoplasm characterized by the accumulation of complex genetic alterations responsible for the initiation and progression of the disease. Translating genomic information into clinical practice remained challenging with conflicting results regarding the impact of certain mutations on disease phenotype and overall survival (OS) especially when clinical variables are controlled for when interpreting the result. We sequenced the coding region for 62 genes in 468 patients with secondary AML (sAML) and primary AML (pAML). Overall, mutations in FLT3, DNMT3A, NPM1 and IDH2 were more specific for pAML whereas UTAF1, STAG2, BCORL1, BCOR, EZH2, JAK2, CBL, PRPF8, SF3B1, ASXL1 and DHX29 were more specific for sAML. However, in multivariate analysis that included clinical variables, only FLT3 and DNMT3A remained specific for pAML and EZH2, BCOR, SF3B1 and ASXL1 for sAML. When the impact of mutations on OS was evaluated in the entire cohort, mutations in DNMT3A, PRPF8, ASXL1, CBL EZH2 and TP53 had a negative impact on OS; no mutation impacted OS favorably; however, in a cox multivariate analysis that included clinical data, mutations in DNMT3A, ASXL1, CBL, EZH2 and TP53 became significant. Thus, controlling for clinical variables is important when interpreting genomic data in AML.

Genetic and molecular characterization of myelodysplastic syndromes and related myeloid neoplasms

Whole exome next generation sequencing systematically applied as a discovery tool in myelodysplastic syndromes (MDS) has led to the identification of a large number of novel mutations. Despite hundreds of patients studied, mutational saturation has not been reached and it is expected that new driver mutations will be discovered in this very heterogeneous condition. Serial samples and deep sequencing of the identified alterations has allowed for a dynamic/chronologic analysis of clonal architecture and identification of a subset of ancestral and secondary molecular lesions. Chromosomal gains and losses have been incorporated into the mutational analyses because they can either cooperate with mutations or produce a functional phenocopy. In addition to the search for somatic defects in MDS, similar discovery studies have been also performed to identify germ line mutations/alterations. Clinical analysis showed applicability of multiplexed somatic mutational panels that would complement current pathomorphologic diagnosis, allow for subclassification of nosologic entities, and enhance predictive power of current prognostic algorithms. Overall, comprehensive genomic analysis in MDS has revealed a tremendous heterogeneity of somatic lesions and their combinations further enhanced by the heterogeneity of clonal architecture and chromosomal lesions.