Mudireddy, Mythri

Abstract JAK2 mutations in myeloproliferative neoplasms (MPNs) are associated with the germline GGCC (46/1) haplotype. In 2010, we reported an association between shortened survival in primary myelofibrosis (PMF) and nullizygosity for the JAK2 46/1 haplotype. In the current study, we have increased the number of informative cases from 130 to 414 (median age 63 years; 63% males), in order to revisit with the phenotypic and prognostic relevance of the JAK2 46/1 haplotype in PMF. JAK2 46/1 haplotype was documented in 69% of the study patients, including 25% in homozygous and 44% in heterozygous state. Driver mutation frequency in patients homozygous/heterozygous/nullizygous for the 46/1 haplotype was 78%/60%/56% JAK2, 10%/20%/18% type 1‐like CALR, 3%/2%/5% type 2‐like CALR, 4%/8%/7% MPL, and 6%/10%/14% triple‐negative (P = .02). In univariate analysis, nullizygosity for the JAK2 46/1 haplotype was associated with inferior overall survival (HR 1.5, 95% CI 1.1‐1.9), most pronounced in JAK2 (P <.001), as opposed to CALR/MPL mutated (P = .48) or triple‐negative cases (P = .27). Multivariable analysis that included karyotype, driver mutational status and high‐molecular risk mutations confirmed the independent prognostic contribution of nullizygosity for the 46/1 haplotype (P = .02; HR 1.4, 95% CI 1.1‐1.8). Nullizygosity for 46/1 also remained significant in the context of the genetically‐inspired GIPSS risk model (P = .04), but not in the context of the integrated genetics‐clinical MIPSS70+ version 2.0 model (P = .4). Leukemia‐free survival was not affected by the 46/1 haplotype (P = .6). The current study confirms the association of nullizygosity for the JAK2 GGCC (46/1) haplotype with inferior survival in JAK2‐mutated PMF.

AbstractA 27‐gene panel was used for next‐generation sequencing (NGS) in 179 patients (median age 73 years) with primary myelodysplastic syndromes (MDS); risk distribution according to the revised International Prognostic Scoring System (IPSS‐R) was 11% very high, 18% high, 17% intermediate, 38% low and 16% very low. At least one mutation/variant was detected in 147 (82%) patients; 23% harbored three or more mutations/variants. The most frequent mutations/variants included ASXL1 (30%), TET2 (25%), SF3B1 (20%), U2AF1 (16%), SRSF2 (16%), TP53 (13%), RUNX1 (11%), and DNMT3A (10%). At a median follow up of 30 months, 148 (83%) deaths and 26 (15%) leukemic transformations were recorded. Multivariable analysis of mutations/variants identified ASXL1 (HR 1.7, 95% CI 1.2‐2.5), SETBP1 (HR 4.1, 95% CI 1.6‐10.2) and TP53 (HR 2.2, 95% CI 1.3‐3.4) as risk factors for overall and SRSF2 (HR 3.9, 95% CI 1.5‐10.2), IDH2 (HR 3.7, 95% CI 1.2‐11.4), and CSF3R (HR 6.0, 95% CI 1.6‐22.6) for leukemia‐free survival. Addition of age to the multivariable model did not affect these results while accounting for IPSS‐R weakened the significance of TP53 mutations/variants (P = .1). An apparently favorable survival impact of SF3B1 mutations was no longer evident after adjustment for IPSS‐R. Approximately 41% and 20% of patients harbored at least one adverse mutation/variant for overall and leukemia‐free survival, respectively. Number of mutations/variants did not provide additional prognostic value. The survival impact of adverse mutations was most evident in IPSS‐R very low/low risk patients. These observations suggest that targeted NGS might assist in treatment decision‐making in lower risk MDS.