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Janus kinase 2 variants associated with the transformation of myeloproliferative neoplasms into acute myeloid leukemia

  • Christopher B. Benton(corresponding author)
    ,
  • Prajwal C. Boddu
    ,
  • Courtney D. DiNardo
    ,
  • Prithviraj Bose
    ,
  • Feng Wang
    ,
  • Rita Assi
*Corresponding author for this work
  • University of Texas MD Anderson Cancer Center
Scholary Output:
Contribution to journal
Article
Peer-review

Open access

Sustainable Development Goals

  • SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well

Abstract

Background: Canonical Janus kinase 2 (JAK2) V617F and exon 12 mutations in myeloid neoplasms are well described. There are limited reports of other JAK2 variants of potential clinical relevance. This study was designed to survey JAK2 variants in patients with myeloproliferative neoplasms (MPNs) and acute myeloid leukemia (AML) and to determine their contributions to disease pathogenesis. Methods: Next-generation sequencing of the coding region of JAK2 and 27 other genes was performed on bone marrow DNA samples. The study population was classified into 3 cohorts: chronic MPNs only (the MPN cohort); MPNs transformed into AML (the MPN>>AML cohort); and AML only, with MPN>>AML patients excluded (the AML cohort). Results: Testing was performed for 2154 patients, and non-V617F/non–exon 12 JAK2 sequence variants were identified in 114 (5.3%). They included 35 unique JAK2 variants across all functional domains. Sixteen of the 114 JAK2 variants occurred without somatic mutations in the remaining 27 genes. JAK2 variants were detected at a higher frequency in the MPN>>AML cohort (15.3%) in comparison with the MPN (4.6%; P <.001) and AML cohorts (5.2%; P <.001). Detected variants occurred at higher than expected frequencies in patients with MPNs and AML in comparison with the population, and N1108S had a significantly increased prevalence in patients with AML. A JAK2 variant in addition to JAK2 V617F (n = 13) in myelofibrosis was associated with an increased cumulative risk of transformation into AML (P =.003). Conclusions: Specific JAK2 variants detected in MPNs may be predictors for transformation into AML.

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
Peer-review

Original language

English (US)

Pages from-to (Number of pages)

Pages 1855-1866 (12 pages)

Journal (Volume, Issue Number)

Cancer (Volume 125, Issue 11)

Publication milestones

  • Published - 06/01/2019

Publication status

Published - 06/01/2019

ISSN

0008-543X

Publication IDs

  • Scopus: 85062354791
  • PubMed: 30811597
  • ORCID: /0000-0002-8636-1071/work/68811317

Publication metrics

Metrics

SciVal
FWCI
0.53
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Author count
18
SciVal
citations
4
SciVal
Paper percentile
72
Fractional count
1
Fractional count
0.06
Fractional count
17
Fractional count
0.94
Fractional count
1
Fractional count
1
Scopus
citations

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Citation count
31
Captures
33

Funding Details

Prithviraj Bose reports grants and personal fees from Incyte Corporation, Celgene Corporation, and Blueprint Medicines Corporation and grants from Constellation Pharmaceuticals, Kartos Therapeutics, CTI BioPharma, Astellas Pharmaceuticals, and Pfizer, Inc, outside the submitted work. The other authors made no disclosures. A total of 3376 patients at The University of Texas MD Anderson Cancer Center (MDACC) were diagnosed either with a chronic MPN or AML between June 1989 and December 2016. They included 2215 patients with AML not transformed from MPNs, 280 with AML transformed from MPNs, and 881 with MPNs. Patient samples with mutational testing limited to exon 12 or 14 of JAK2 alone were not included. Approval was obtained from the MDACC institutional review board, and informed consent was obtained according to the Declaration of Helsinki. A total of 3376 patients at The University of Texas MD Anderson Cancer Center (MDACC) were diagnosed either with a chronic MPN or AML between June 1989 and December 2016. They included 2215 patients with AML not transformed from MPNs, 280 with AML transformed from MPNs, and 881 with MPNs. Patient samples with mutational testing limited to exon 12 or 14 of JAK2 alone were not included. Approval was obtained from the MDACC institutional review board, and informed consent was obtained according to the Declaration of Helsinki. Patients’ bone marrow samples were collected at the time of the MDACC referral. An NGS analysis of a panel of the coding regions of 28 leukemia-associated genes was performed with DNA extracted from the bone marrow samples. Paired-end indexed libraries were sequenced on the Illumina MiSeq platform. Exon and codon sequencing coverage for each of the genes is detailed in Supporting Table 1. The average coverage of bases per sample was 3000 with a minimum of 250 reads needed to call a somatic mutation, and the assay sensitivity was a variant allele frequency of 5% to 10% in the sample. Variants detected by the platform were classified on the basis of their allele frequency in the population, which was determined with an MDACC database in conjunction with currently available reference databases, including the Catalog of Somatic Mutations in Cancer (Wellcome Trust Sanger Institute) and the Single Nucleotide Polymorphism Database (dbSNP; National Institutes of Health). Silent mutations and common genetic polymorphisms (defined as those with a population frequency >20%) were not reported. Variants were analyzed for predicted functional effects with fathmm-MKL, MutationTaster, and Deleterious Annotation of Genetic Variants Using Neural Networks (DANN) via the VarSome platform by Saphetor. Categorical data comparisons were performed with the Fisher exact test. Frequency estimates of variants in our study population were compared against population frequencies in the Exome Aggregate Consortium database. Overall survival was measured from the time of diagnosis until death or was censored on the date of last follow-up. The survival time was estimated with the Kaplan-Meier approach. The cumulative incidence of relapse was estimated with a competing risk regression approach, with death as a competing risk factor. A P value <.05 determined statistical significance. This work was supported by a Leukemia Texas Supporting Grant Award and the National Institutes of Health (MD Anderson Cancer Center Support Grant P30 CA016672 and award P01 CA049639).
FundersFunding numbers
Astellas Pharmaceuticals
-
Blueprint Medicines Corporation
-
Kartos Therapeutics
-
MDACC
-
NIH
P01 CA049639
NCI
P30CA016672
Pfizer
-
University of Texas M.D. Anderson Cancer Center
-
WT
-
Constellation Pharmaceuticals, Inc.
-
CTI Biopharma
-