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. Author manuscript; available in PMC: 2017 Oct 1.
Published in final edited form as: Leuk Lymphoma. 2016 Feb 8;57(10):2441–2444. doi: 10.3109/10428194.2016.1138295

A phase II study of the efficacy, safety, and determinants of response to 5-azacitidine (Vidaza®) in patients with chronic myelomonocytic leukemia

Srinivas K Tantravahi a, Philippe Szankasi b, Jamshid S Khorashad a, Kim-Hien Dao c, Tibor Kovacsovics a, Todd W Kelley b, Michael W Deininger a
PMCID: PMC5152569  NIHMSID: NIHMS782946  PMID: 26752680

Chronic myelomonocytic leukemia (CMML) is a hematopoietic stem cell neoplasm with features of both myelodysplasia and myeloproliferation.[1] Cytopenias and progression to acute myeloid leukemia (AML) account for majority of the morbidity and mortality in CMML. CMML is clinically heterogeneous with poor prognosis and median survival is approximately 2.5 years from diagnosis.[2] The risk of progression to AML and overall survival (OS) is correlated with certain clinical and hematological parameters, cytogenetic abnormalities, and gene mutations such as ASXL1.[25] Additionally somatic mutations in several genes correlate with adverse outcomes, although no consistent picture has emerged thus far. Stem cell transplantation offers a potential cure and reduced intensity conditioning regimens make this option available to older patients, but relapse rates remain high.[6,7] Transplant ineligible patients are typically managed with supportive care and/or hydroxyurea to alleviate symptoms related to myeloproliferation and splenomegaly.[8] Hypomethylating agents (HMAs), 5-azacitidine, and decitabine received regulatory approval for myelodysplastic syndromes (MDSs), based on two separate phase 3 studies.[9,10] Both studies included a small number of CMML patients, which formed the basis for the clinical use of HMAs in CMML. Several studies predominantly retrospective reported overall response rates of 20–70% and median survival ranging from 12 to 37 months (Supplementary Table 1). Prospective trials of 5-azacitidine specifically in CMML patients are limited and predictors of response are unknown. We designed a prospective non-randomized phase 2 study to determine safety and efficacy of 5-azacitidine in CMML, and to identify predictive biomarkers. The study (NCT01350947) was conducted at University of Utah Huntsman Cancer Institute and Oregon Health and Science Knight Cancer Institute. Institutional Review Board of each institution approved the study. Informed consent was obtained prior to enrollment in accordance with the Declaration of Helsinki. Celgene Corporation supported the trial. Inclusion criteria were age ≥18 years with a diagnosis of CMML, ECOG performance status ≤2 and adequate organ function. Progression to AML (≥20% blasts in the blood or bone marrow) or prior therapy with HMAs was not allowed (See Supplementary Appendix). Primary objective was to determine the rates of hematologic response (complete response, CR; partial response, PR; stable disease, SD; and hematologic improvement, HI) according to the IWG 2006 criteria.[11] The secondary objectives were to determine OS and progression free survival (PFS) at 24 months follow-up. As an exploratory objective, targeted sequencing of 5-azacitidine naïve samples was performed by next generation sequencing (NGS) to establish correlations between somatic mutations and response to 5-azacitidine (Methods, supplementary Appendix). 5-Azacitidine at a dose of 75 mg/m2 was given by subcutaneous (sc) or intravenous (iv) routes for days 1–7 every 28-days, for at least 8 cycles unless progression to acute leukemia (≥20% blasts) or continuation of treatment was not determined to be in patient's best interest. All patients received 100% dose for cycle 1, dosing for subsequent cycles was adjusted utilizing an algorithm based on nadir counts, hematologic response, bone marrow cellularity, and renal toxicity (Supplementary Figure 1). Patients with an objective hematologic response at completion of cycle 8 (CR, PR or HI) or deemed to be benefiting from therapy by treating physician were continued for a maximum of 24 cycles. All other patients including those with stable disease but no objective response were discontinued. Adverse events were graded as per the CTCAEv4.0. Response evaluations were performed by bone marrow biopsy prior to cycle 2, cycle 4, and cycle 7. For patients continuing on study beyond 12 months, bone marrow biopsies were obtained prior to cycles 13 and 17, at the end of study or at progression, whichever came first. All patients were followed for at least 24 months for survival outcomes. OS and PFS were analyzed by utilizing the Kaplan–Meier method. Between November 2010 and December 2012, 11 patients were enrolled, of whom six were men and five were women. Median age was 69 years (range 56–85 years). Demographics are reported in Table 1. Prior treatments were hydroxyurea in one patient and another patient received ruxolitinib due to an incorrect initial diagnosis of primary myelofibrosis. Median number of cycles administered was 6 (range 1–24). Five patients received the planned minimum of 8 cycles: two patients received 24 cycles, one patient discontinued after 18 cycles due to cytopenias, and two discontinued after 18 and 22 cycles due to progressive disease without transformation to AML. Six patients discontinued study medication before completing 8 cycles: two progressed to AML after 5 and 6 cycles, respectively, three proceeded SCT and one due to cytopenias. Overall best hematologic response rates were: CR in three (27%), SD in four (36%), marrow CR in two (18%), progression to AML in one (9%); response was not evaluable in one patient who discontinued therapy before completing 3 cycles. Overall, two patients progressed to AML; one demonstrated primary resistance without any response and the second progressed after an initial stable disease. At 24 months, five patients had died including two patients who succumbed to complications of SCT. At two years, OS was 55% and median OS and PFS were 30 and 14.1 months, respectively [Figure 1]. Treatment was given on outpatient basis. Dose reductions were performed as per predefined protocol (Supplementary Figure 1). Most common treatment related side effects were cytopenias: grade 3 or 4 neutropenia in four patients (36%); grade 3 or 4 anemia in four patients (36%), grade 3 or 4 thrombocytopenia in one patient (9%). Dose reduction or interruption due to cytopenias was required for at least 1 cycle in six patients (54%). Total number of 5-azacidine cycles administered was 135; 61 (45%) of which required dose reduction. One patient (9%) experienced grade 3 GI bleeding and epistaxis. Targeted sequencing of a panel of 53 genes revealed at least two somatic mutations in each patient (Supplementary Tables 2 and 3). TET2 and SRSF2 were mutated in 63% (n = 7) and ASXL1 was mutated in 45% (n = 5). TET2 mutations occurred frequently in association with splicing gene mutations (SRSF2 in 5 and ZRSR2 in 1). Response rates to 5-azacitidine in CMML patients were not reported separately in the randomized studies.[9,10] One of seven patients (17%) treated with decitabine had a response compared to no responses in the best supportive care.[10] Subsequently, studies reported variable response and outcomes in CMML patients treated with HMAs (Supplementary Table 1). In a prospective trial of decitabine (included up to 29% marrow blasts), ORR was 38% with four CRs (10%). OS was 48% at two years and median OS was 18.5 months.[12] The UK MDS group prospectively studied the efficacy of 5-azacitidine in CMML. ORR was 20% by IWG criteria and median OS was 16 months. Majority of patients were at high risk, which may explain poor ORR. Our results were comparable to previously published reports. Notably, a predefined stringent algorithm was followed to avoid arbitrary dose adjustments. Our study was limited by poor accrual with only 11 enrolled of planned 50 patients. Major obstacles were the rarity of CMML, inconvenience of receiving treatment available on label on study, and reluctance to initiate therapy in asymptomatic elderly patients. These difficulties underscore the importance of multicenter studies in rare malignancies like CMML. Finally, predictive factors of response to HMAs in CMML are unknown. Cytogenetic abnormalities are present in ~30% of patients and have a strong prognostic impact.[3] All of our patients had a normal karyotype. Majority of CMML patients have recurrent somatic mutations on NGS.[13] Mutations in diverse cellular pathways were described including signal transduction (KRAS, NRAS, CBL, JAK2), epigenetic regulation (TET2, DNMT3A, ASXL1, EZH2, IDH1/2), transcriptional regulation (RUNX1), and mRNA splicing (SRSF2, UTX). TET2, ASXL1, and SRSF2 mutations are most frequent (~50%), followed by RUNX1 (10%).[14] The prognostic relevance of some somatic mutations is unclear, but ASXL1 mutations are consistently associated with poor outcomes.[4,5] Little is known about the molecular determinants of response to HMAs in CMML. In two separate cohorts, somatic mutations were not predictive of response to treatment.[12,15] Using gene expression analysis, Braun et al. found that lower CJUN and CMYB gene expression was independently predictive of improved OS.[12] In a more recent analysis of patients treated with decitabine, NGS identified differential methylated regions (DMRs) between responders and nonresponders. DMRs were primarily localized to nonpromoter and distal regulatory enhancer regions. Transcriptional analysis confirmed up-regulation of genes associated with cell cycle in responders, whereas chemokines, CXCL4, CXCL7, and integrin β3 were exclusively overexpressed in resistant patients.[15] In another analysis of a large Mayo-French cohort, age <65 years, AXSL1 and SRSF2 mutations negatively impacted survival. Predictors of response to HMAs were not reported.[16] Similar pattern of somatic gene mutations and frequencies were observed in our cohort. All three patients who obtained CR were TET2 mutated, and responses observed in four other TET2 mutated patients (three SD and one marrow CR). Interestingly, two patients who progressed to AML were positive for SRSF2 mutation. The significance of these observations is unclear given the small sample size emphasizing the need to study CMML in larger multicenter trials. Our results support the use of HMAs as first line in CMML patients requiring treatment.

Table 1.

Patient characteristics, 5-azacitidine administration, and best response.

ID Age
(years)
Gender ECOG
PS
Prior
therapy
WBC count
(k/μl)
Hb
(g/dL)
Platelet
(k/μl)
PB
Mon%
PB
blasts%
BM
blast%
LDH
(U/L)
WHO
subtype
CPSS Mutation(s) Route of
5-aza
Cycles of
5-aza
Best HR Last follow
up status
1-001 74 Female 0 None 20 14.1 118 33% <1% 1% 512 CMML-1 Int-1 KRAS, SRSF2, TET2 sc 24 CR Alive
1-002 85 Female 1 None 8.6 10.6 31 20% 0% 4.30% 457 CMML-1 Low PHF6, RUNX1,TET2 sc 18 SD Alive
1-003 56 Male 0 None 44 13.4 197 3% 0% 0% 436 CMML-1 Int-2 CSF3R, RAD21 iv 5 SD Dead
1-004 69 Female 0 Ruxolitinib 19 13.6 285 6% 0% 1.20% 487 CMML-1 Int-2 ASXL1, CBL, SRSF2, TET2 iv 24 CR Alive
1-005 65 Male 2 None 248 7.8 58 14% 0% 8.40% 1176 CMML-1 High ASXL1, BRINP3, GATA2, PTPN11, RUNX1, SRSF2 iv 1 N/E Alive
2-001 70 Female 2 None 58 12.7 108 28% 0% 14% 267 CMML-2 Int-2 ASXL1, CBL, SRSF2, TET2 iv 22 SD Dead
2-002 57 Male 0 None 29 13.6 97 29% 0% 18% 191 CMML-2 Int-2 KRAS, SRSF2, TET2 iv 4 Marrow CR Dead
2-003 78 Male 1 Hydroxyurea 3.8 8.1 29 47% 1% 7.50% 105 CMML-1 Int-2 CBL, SRSF2, TET2 iv 5 SD Dead
2-004 70 Male 0 None 62 12.1 132 22% 0% <20% 335 CMML-2 Int-2 RUNX1, SRSF2 iv 6 PD Dead
2-005 61 Female 1 None 20 12.2 353 16% 0% 4% 292 CMML-1 Int-1 ASXL1, SETBP1 iv 6 Marrow CR Alive
2-006 67 Male 2 None 34 10.7 126 36% 0% 0% 226 CMML-1 Int-1 ASXL1, NRAS, RUNX1, TET2, ZRSR2 iv 20 CR Alive

ECOG PS, eastern cooperative oncology group performance status; WBC, white blood cell; Hb, hemoglobin; PB, peripheral blood; BM, bone marrow; LDH, lactate dehydrogenase; WHO, world health organization; CPSS, CMML specific risk score; BM, bone marrow; 5-aza, 5-azacytidine; HR, Hematologic response; CR, complete remission; mCR, marrow complete remission; N/E, not evaluable; SD, Stable disease; PD, progressive disease.

Figure 1.

Figure 1

Kaplan–Meier survival estimates: progression free survival (PFS) and overall survival (OS).

Supplementary Material

Supplementary Appendix
Supplementary Table 1
Supplementary Table 2
Supplementary Table 3

Acknowledgements

The authors thank all the patients and their families for participating in the study, nurses, and clinical research coordinators.

Funding information

This work was supported by a Specialized Center of Research Program Award (GCNCR0314A-UTAH to M.W.D) from The Leukemia & Lymphoma Society (LLS) and by The V Foundation for Cancer Research (to M.W.D). S.K.T is a recipient of 2013 Research Training Award for Fellows from the American Society of Hematology (ASH). J.S.K is a Special Fellow of the LLS and was supported by a Translational Research Training in Hematology Award from the ASH.

Footnotes

Supplemental data for this article can be accessed at http://dx.doi.org/10.3109/10428194.2016.1138295.

Potential conflict of interest: Disclosure forms provided by the authors are available with the full text of this article at http://dx.doi.org/10.3109/10428194.2016.1138295.

References

  • 1.Vardiman JW, Thiele J, Arber DA, et al. The 2008 revision of the World Health Organization (WHO) classification of myeloid neoplasms and acute leukemia: rationale and important changes. Blood. 2009;114:937–951. doi: 10.1182/blood-2009-03-209262. [DOI] [PubMed] [Google Scholar]
  • 2.Such E, Germing U, Malcovati L, et al. Development and validation of a prognostic scoring system for patients with chronic myelomonocytic leukemia. Blood. 2013;121:3005–3015. doi: 10.1182/blood-2012-08-452938. [DOI] [PubMed] [Google Scholar]
  • 3.Such E, Cervera J, Costa D, et al. Cytogenetic risk stratification in chronic myelomonocytic leukemia. Haematologica. 2011;96:375–383. doi: 10.3324/haematol.2010.030957. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Itzykson R, Kosmider O, Renneville A, et al. Prognostic score including gene mutations in chronic myelomonocytic leukemia. J Clin Oncol. 2013;31:2428–2436. doi: 10.1200/JCO.2012.47.3314. [DOI] [PubMed] [Google Scholar]
  • 5.Patnaik MM, Padron E, LaBorde RR, et al. Mayo prognostic model for WHO-defined chronic myelomonocytic leukemia: ASXL1 and spliceosome component mutations and outcomes. Leukemia. 2013;27:1504–1510. doi: 10.1038/leu.2013.88. [DOI] [PubMed] [Google Scholar]
  • 6.Eissa H, Gooley TA, Sorror ML, et al. Allogeneic hematopoietic cell transplantation for chronic myelomonocytic leukemia: relapse-free survival is determined by karyo-type and comorbidities. Biol Blood Marrow Transplant. 2011;17:908–915. doi: 10.1016/j.bbmt.2010.09.018. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Cheng H, Kirtani VG, Gergis U. Current status of allogeneic HST for chronic myelomonocytic leukemia. Bone Marrow Transplant. 2012;47:535–541. doi: 10.1038/bmt.2011.141. [DOI] [PubMed] [Google Scholar]
  • 8.Wattel E, Guerci A, Hecquet B, et al. A randomized trial of hydroxyurea versus VP16 in adult chronic myelomonocytic leukemia. Groupe Français des Myélodysplasies and European CMML Group. Blood. 1996;88:2480–2487. [PubMed] [Google Scholar]
  • 9.Silverman LR, Demakos EP, Peterson BL, et al. Randomized controlled trial of azacitidine in patients with the myelodysplastic syndrome: a study of the cancer and leukemia group B. J Clin Oncol. 2002;20:2429–2440. doi: 10.1200/JCO.2002.04.117. [DOI] [PubMed] [Google Scholar]
  • 10.Kantarjian H, Issa JP, Rosenfeld CS, et al. Decitabine improves patient outcomes in myelodysplastic syndromes: results of a phase III randomized study. Cancer. 2006;106:1794–1803. doi: 10.1002/cncr.21792. [DOI] [PubMed] [Google Scholar]
  • 11.Cheson BD, Greenberg PL, Bennett JM, et al. Clinical application and proposal for modification of the International Working Group (IWG) response criteria in myelodysplasia. Blood. 2006;108:419–425. doi: 10.1182/blood-2005-10-4149. [DOI] [PubMed] [Google Scholar]
  • 12.Braun T, Itzykson R, Renneville A, et al. Molecular predictors of response to decitabine in advanced chronic myelomonocytic leukemia: a phase 2 trial. Blood. 2011;118:3824–3831. doi: 10.1182/blood-2011-05-352039. [DOI] [PubMed] [Google Scholar]
  • 13.Kohlmann A, Grossmann V, Klein HU, et al. Next-generation sequencing technology reveals a characteristic pattern of molecular mutations in 72.8% of chronic myelomonocytic leukemia by detecting frequent alterations in TET2, CBL, RAS, and RUNX1. J Clin Oncol. 2010;28:3858–3865. doi: 10.1200/JCO.2009.27.1361. [DOI] [PubMed] [Google Scholar]
  • 14.Meggendorfer M, Roller A, Haferlach T, et al. SRSF2 mutations in 275 cases with chronic myelomonocytic leukemia (CMML). Blood. 2012;120:3080–3088. doi: 10.1182/blood-2012-01-404863. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Meldi K, Qin T, Buchi F, et al. Specific molecular signatures predict decitabine response in chronic myelomonocytic leukemia. J Clin Invest. 2015;125:1857–1872. doi: 10.1172/JCI78752. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Patnaik MM, Wassie EA, Padron E, et al. Chronic myelomonocytic leukemia in younger patients: molecular and cytogenetic predictors of survival and treatment outcome. Blood Cancer J. 2015;5:e270. doi: 10.1038/bcj.2014.90. [DOI] [PMC free article] [PubMed] [Google Scholar]

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Supplementary Materials

Supplementary Appendix
Supplementary Table 1
Supplementary Table 2
Supplementary Table 3

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