Correspondence
Primary myelofibrosis (PMF) is a clonal myeloproliferative neoplasm (MPN) characterized by anemia, marked splenomegaly, extramedullary hematopoiesis, profound constitutional symptoms, and a propensity to progress into acute leukemia, resulting in premature death1. These features in PMF are accompanied by three mutually exclusive driver mutations: JAK2, CALR, and MPL2, 3. Current prognostic systems in PMF are mostly based on clinical parameters, with the exception of the dynamic international prognostic system (DIPSS)-plus, which includes cytogenetic information4. DIPSS-plus classifies karyotype in PMF as being either “favorable” or “unfavorable”. The former includes normal karyotype or sole abnormalities of trisomy 9, del(13q), del(20q), translocation/duplication of chromosome 1 and loss of Y chromosome, while the latter includes all other abnormalities5. It is currently unknown whether or not the prognostic integrity of “normal” karyotype in PMF is affected by the number of metaphases examined, or the presence of single-metaphase abnormalities classically associated with myeloid disorders that do not otherwise meet the International System for Human Cytogenetic Nomenclature (ISCN) criteria for constituting “clonal” changes6. The current study addresses these issues in a consecutive series of 604 patients with PMF and “normal” karyotype.
The current study was approved by the institutional review board of Mayo Clinic (Rochester, MN). Study patients were recruited from the institutional database of MPN. Diagnosis of PMF was according to the World Health Organization criteria1. Clinical and laboratory data, and cytogenetic information were collected at the time of diagnosis. Cytogenetic analysis and reporting were done according to the ISCN6. Fresh bone marrow aspirates were processed according to standard techniques using GTL banding with trypsin and Leishman stain7. Chromosomal abnormalities were considered “clonal” if the same structural abnormality or extra chromosome appeared in at least two and monosomy in at least three metaphases. Driver mutation screening and targeted next generation sequencing were performed as previously described8, 9. Differences in the distribution of continuous variables between categories were analyzed by Mann–Whitney or Kruskal–Wallis test. Patient groups with nominal variables were compared by χ2 test. Overall survival (OS) was considered from the date of diagnosis or referral to the date of death (uncensored) or last follow-up (censored). Leukemia-free survival (LFS) was calculated from the time of diagnosis or referral to the time of leukemic transformation (uncensored) or last contact or date of death (censored). Survival curves were prepared by the Kaplan–Meier methods and compared by the log–rank test. Cox proportional hazard regression model was applied for multivariable analysis. P-value <0.05 was considered significant. The Stat View (SAS Institute, Cary, NC, USA) statistical package was used for all calculations.
A total of 604 PMF patients with normal karyotype constituted the current study population. Clinical and laboratory characteristics at time of diagnosis or referral are listed in Table 1. Median age of the study patients was 65 years and 62% were males. Two hundred and seven (34%) patients were red cell transfusion dependent at time of initial evaluation, with median values of hemoglobin, leukocytes and platelets at 10.2 g/dl, 9 × 109/l, and 242 × 109/l, respectively. Constitutional symptoms were documented in 32% of patients and circulating blasts ≥1% in 50%. DIPSS10 and DIPSS-plus risk stratification were 9 and 30 high, 41 and 40% intermediate-2, 35 and 16% intermediate-1, and 15 and 14% low, respectively. Driver mutation analysis was available in 389 patients and included 250 (64%) patients with JAK2, 61 (16%) type 1/like CALR, 16 (4%) type 2/like CALR, 21 (5%) MPL, and 41 (11%) triple-negative mutational status. In addition, a subset of patients were screened for mutations in ASXL1 (n = 245; 41% mutated), and SRSF2 (n = 256; 15% mutated).
The study population was stratified into four groups according to the number of metaphases studied and the presence or absence of the single-metaphase abnormalities classically associated with myeloid disorders that did not meet the ISCN criteria for clonal changes. The latter occurred in 18 (3%) patients, whereas among the remaining 586 cases, the number of metaphases studied was 20 or more in 451 (75%), 10–19 in 84 (14%), and <10 in 51 (8%). After a median follow-up of 3.5 years, 427 (71%) deaths and 40 (7%) leukemic transformations were documented. Phenotypic correlative studies disclosed no significant differences in the aforementioned four operational groups of “normal” karyotype, in terms of age (p = 0.2), red cell transfusion need (p = 0.7) hemoglobin level (p = 0.2), platelet count (p = 0.3), circulating blast count (p = 0.7), or constitutional symptoms (p = 0.7). DIPSS (p = 0.1) and DIPSS-plus risk distributions were also similar among the four groups (p = 0.3), as were driver mutational status (p = 0.7) and ASXL1 (p = 0.3) and SRSF2 (p = 0.7) mutational frequencies. The only difference of note was an association between leukocytosis and number of metaphases studied; the respective percentage of patients with ≥20, 10–19, <10 metaphases studied or with one abnormality were 82, 10, 5, and 3% in the presence and 68, 17, 12, and 3% in the absence of leukocytosis (p = 0.0005). In addition, we noted significantly more male patients with <10 metaphases analyzed (73 vs 61% for ≥20 metaphases, 70% for 10–19 metaphases and 28% for one abnormality; p = 0.003).
In univariate analysis, all seven non-cytogenetic variables included in the DIPSS-plus risk model were significantly associated with shortened survival (p < 0.0001 for all instances). Significant risk factors in univariate analyses also included driver mutation status (p < 0.0001) and presence of ASXL1 (p < 0.0001, HR 1.8; 95% CI 1.3–2.5) or SRSF2 (p = 0.0001, HR 2.2; 95% CI 1.5–3.2) mutations. In univariate analyses LFS was adversely affected by hemoglobin <10 × 109/L (p = 0.008, HR 2.4; 95% CI 1.3–4.5), circulating blasts count (p < 0.0001, HR 1.3; 95% CI 1.2–1.4) and presence of SRSF2 mutation (p < 0.0001, HR 6.5; 95% CI 3–14.5). In contrast, neither OS nor LFS was affected by either the number of metaphases analyzed (p = 0.44; Fig. 1) or the presence of single-metaphase abnormalities classically associated with myeloid disorders that do not qualify as clonal changes (p = 0.42). This lack of prognostic impact from number of metaphases analyzed or presence of single abnormalities was confirmed by multivariable analysis that included age, gender, conventional risk stratification, or driver mutational status, as covariates.
The current study suggests that neither the number of metaphases studied nor the presence of single-metaphase abnormalities classically associated with myeloid disorders that do not qualify as clonal changes, per ISCN criteria, affect the prognostic integrity of a normal karyotype designation in PMF. Previous studies had cautioned that the number of analyzable metaphases from unstimulated blood and from bone marrow samples might be too few to confirm the absence of a cytogenetically detectable clone11. Consistent with this view, standard laboratory practice requires a minimum of 20 metaphases to be analyzed before reporting cytogenetic results out as “normal”. Other investigators generally agree on the need to examine at least 20 metaphases but suggested that full analysis of only 5 metaphases might be adequate12. In routine clinical practice, it is important for patients to be assured of the prognostic implication of a “normal” karyotype, particularly when this information is derived from the analysis of less than the standard 20 metaphases. Another practical implication of the current study concerns eligibility for a cytogenetic study inclusion of patients, in the absence of at least 20 or 10 metaphases analyzed. Regardless, we would like to underscore the fact that the current study was not designed to undermine the need for robust cytogenetic studies in PMF or other myeloid malignancies, but rather to provide a comparable statistical resource of prognostic integrity when a complete 20 metaphase chromosome study is not achievable.
References
Arber, D. A., Orazi, A. & Hasserjian, R. The 2016 revision to the World Health Organization classification of myeloid neoplasms and acute leukemia. Blood 128, 462–463 (2016).
Tefferi, A. Novel mutations and their functional and clinical relevance in myeloproliferative neoplasms: JAK2, MPL, TET2, ASXL1, CBL, IDH and IKZF1. Leukemia 24, 1128–1138 (2010).
Vannucchi, A. M. et al. Calreticulin mutation-specific immunostaining in myeloproliferative neoplasms: pathogenetic insight and diagnostic value. Leukemia 28, 1811–1818 (2014).
Gangat, N. et al. DIPSS plus: a refined Dynamic International Prognostic Scoring System for primary myelofibrosis that incorporates prognostic information from karyotype, platelet count, and transfusion status. J. Clin. Oncol. 29, 392–397 (2011).
Tefferi, A. et al. Predictors of greater than 80% 2-year mortality in primary myelofibrosis: a Mayo Clinic study of 884 karyotypically annotated patients. Blood 118, 4595–4598 (2011).
International Standing Committee on Human Cytogenomic Nomenclature, McGowan-Jordan, J., Simons, A. & Schmid, M. ISCN: an international system for human cytogenomic nomenclature. (Karger, Basel; New York, 2016).
Dewald, G. W., Broderick, D. J., Tom, W. W., Hagstrom, J. E. & Pierre, R. V. The efficacy of direct, 24-hour culture, and mitotic synchronization methods for cytogenetic analysis of bone marrow in neoplastic hematologic disorders. Cancer Genet. Cytogenet. 18, 1–10 (1985).
Tefferi, A. et al. CALR vs JAK2 vs MPL-mutated or triple-negative myelofibrosis: clinical, cytogenetic and molecular comparisons. Leukemia 28, 1472–1477 (2014).
Patnaik, M. M. et al. ASXL1 and SETBP1 mutations and their prognostic contribution in chronic myelomonocytic leukemia: a two-center study of 466 patients. Leukemia 28, 2206–2212 (2014).
Passamonti, F. et al. Dynamic International Prognostic Scoring System (DIPSS) predicts progression to acute myeloid leukemia in primary myelofibrosis. Blood 116, 2857–2858 (2010).
Hastings, R. J. et al. Cytogenetic Guidelines and Quality Assurance: a common European framework for quality assessment for constitutional and acquired cytogenetic investigations. Eur. J. Hum. Genet. 15, 525–527 (2007).
Haferlach, C. et al. Proposals for standardized protocols for cytogenetic analyses of acute leukemias, chronic lymphocytic leukemia, chronic myeloid leukemia, chronic myeloproliferative disorders, and myelodysplastic syndromes. Genes. Chromosomes Cancer 46, 494–499 (2007).
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors declare that they have no conflict of interest.
Additional information
Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Nicolosi, M., Mudireddy, M., Gangat, N. et al. Normal karyotype in myelofibrosis: is prognostic integrity affected by the number of metaphases analyzed?. Blood Cancer Journal 8, 8 (2018). https://doi.org/10.1038/s41408-017-0046-3
Received:
Accepted:
Published:
DOI: https://doi.org/10.1038/s41408-017-0046-3