Bhumika Patel

Incorporation of molecular data into the Revised International Prognostic Scoring System in treated patients with myelodysplastic syndromes

The Revised International Prognostic Scoring System (IPSS-R) was developed for untreated myelodysplastic syndrome (MDS) patients based on clinical data. We created and validated a new model that incorporates mutational data to improve the predictive capacity of the IPSS-R in treated MDS patients. Clinical and mutational data from treated MDS patients diagnosed between January 2000 and January 2012 were used to develop the new prognostic system. A total of 508 patients were divided into training (n=333) and validation (n=175) cohorts. Independent significant prognostic factors for survival included age, IPSS-R, EZH2, SF3B1 and TP53. Weighted coefficients for each factor were used to build the new linear predictive model, which produced four prognostic groups: low, intermediate-1, intermediate-2 and high with a median overall survival of 37.4, 23.2, 19.9 and 12.2 months, respectively, P<0.001. Significant improvement in the C-index of the new model (0.73) was observed compared with the IPSS-R (0.69). The new model predicted outcome both in a separate validation cohort and in another cohort of patients with paired samples at different time points during their disease course. The addition of mutational data to the IPSS-R makes it dynamic and enhances its predictive ability in treated MDS patients regardless of their initial or subsequent therapies.

Clinical and biological implications of ancestral and non-ancestral IDH1 and IDH2 mutations in myeloid neoplasms

Mutations in isocitrate dehydrogenase 1/2 (IDH1/2MT) are drivers of a variety of myeloid neoplasms. As they yield the same oncometabolite, D-2-hydroxyglutarate, they are often treated as equivalent, and pooled. We studied the validity of this approach and found IDH1/2 mutations in 179 of 2119 myeloid neoplasms (8%). Cross-sectionally, the frequencies of these mutations increased from lower- to higher risk disease, thus suggesting a role in clinical progression. Variant allelic frequencies indicated that IDH1MT and IDH2MT are ancestral in up to 14/74 (19%) vs 34/99 (34%; P=0.027) of cases, respectively, illustrating the pathogenic role of these lesions in myeloid neoplasms. IDH1/2MT was associated with poor overall survival, particularly in lower risk myelodysplastic syndromes. Ancestral IDH1MT cases were associated with a worse prognosis than subclonal IDH1MT cases, whereas the position of IDH2MT within clonal hierarchy did not impact survival. This may relate to distinct mutational spectra with more DNMT3A and NPM1 mutations associated with IDH1MT cases, and more ASXL1, SRSF2, RUNX1, STAG2 mutations associated with IDH2MT cases. Our data demonstrate important clinical and biological differences between IDH1MT and IDH2MT myeloid neoplasms. These mutations should be considered separately as their differences could have implications for diagnosis, prognosis and treatment with IDH1/2MT inhibitors of IDH1/2MT patients.

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.

Tofacitinib as a novel salvage therapy for refractory T-cell large granular lymphocytic leukemia

Tofacitinib as a novel salvage therapy for refractory T-cell large granular lymphocytic leukemia

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.

Genomic patterns associated with hypoplastic compared to hyperplastic myelodysplastic syndromes.

While the bone marrow in most patients with myelodysplastic syndromes (MDS) has normal or increased cellularity (hyper-MDS), approximately 10%–15% of MDS patients will present with a hypocellular bone marrow (hypo-MDS).[1][1] Since the diagnosis of MDS relies mainly on the presence of dyplastic

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.