Myelodysplastic syndromes (MDS) are a heterogenous group of neoplastic bone marrow failure diseases.1 The Revised International Prognostic Scoring System (IPSS-R) is the most widely used prognostic scoring system to tailor therapy for MDS patients. The IPSS-R incorporated severe neutropenia (SN) defined as absolute neutrophil count (ANC) <0.8x109/L as a prognostic variable. Among MDS patients (pts), 18% had ANC <0.8x109/L.2 Current treatment guidelines recommend considering hypomethylating agents or immunosuppressive therapy for treating MDS pts with neutropenia with low neutrophil response reported in clinical studies (<10-20%).3 Recurrent infections remain a major cause of morbidity and mortality in MDS pts.1 Identification of the genomic landscape of MDS pts with SN is crucial given the large unmet clinical need in this patient population which may assist identifying potential targeted therapy.
IDH somatic mutations (MT) are described in 8-12% of acute myeloid leukemia (AML) cases and MDS.4,5 These recurrent MT in key metabolic enzymes lead to the production of the oncometabolite 2-hydroxyglutarate (2-HG), which promotes leukemogenesis through a block in normal myeloid differentiation. Selective oral inhibitors of mutant IDH1 and IDH2 have subsequently been developed and are now approved for AML4 and are under investigation for MDS.6,7
We analyzed all MDS pts treated at Moffitt Cancer Center with known ANC values around time of diagnosis and who had next-generation sequencing (NGS) as part of routine clinical care using standard Illumina platform as previously described.8 We defined SN around time of diagnosis for the purpose of this study according to the IPSS-R cut-off (ANC 0.8x109/L) and stratified pts into two groups based on this definition.
We identified 1,972 MDS pts among whom 466 pts (24%) had SN. Table 1 summarizes baseline characteristics comparing SN and non-SN pts. Neutropenic pts were slightly younger, had higher myeloblasts percentage, lower platelet counts, higher risk disease and were more likely to be classified as MDS-EB subtypes. Ninety-three pts had isolated SN (hemoglobin [Hgb] >10 g/dL and platelets >100x109/L).
IDH MT (IDH-1/IDH-2) were the only MT observed at higher rate among neutropenic pts. Figure 1A summarizes landscape of common MT observed comparing SN and non-SN pts in the whole group and stratified by IPSS-R (lower risk defined as very low to intermediate and higher risk as high and very high groups). Among the whole cohort, 13% of MDS pts (61/462) with SN harbored IDH MT compared to 6% in non-SN pts (85/1,489) (P<0.005). Both IDH-1 and IDH-2 MT were more common in SN pts and among both lower and higher risk IPSS-R groups. The most common observed hot spot in IDH-2 was R140, although the R172 hotspot was observed more in SN pts. Among pts with isolated SN, 18% harbored IDH MT compared to 12% in non-isolated SN (P=0.1). IDH-1 MT were more common in pts with isolated SN (11% vs. 4%; P=0.01) but no difference in IDH-2 MT (8% in both isolated SN and non-isolated SN groups; P=0.8). TP53 was observed in 26% compared to 19% respectively for SN and non-SN pts, P<0.005 but no statistical difference was observed when examined among IPSS-R risk groups.
Figure 1B illustrates the presence of SN among MT and wild-type (WT) commonly observed somatic MT in MDS pts. Among pts with IDH1/2 MT 42% of pts had SN compared to 22% among WT, 40% IDH-1 MT MDS pts had SN compared to 23% of IDH-1 WT, and 44% of IDH-2 MT had SN compared to 23% of IDH-2 WT. SN was present in 30% of TP53 MT MDS pts compared to 23% among those with WT. SF3B1 MT MDS pts were less likely to have SN. The median overall survival (mOS) was shorter (25 months [mo] vs. 42 mo; P<0.005) and the rate of AML transformation higher (49% vs. 26%; P<0.005) in SN versus non-SN pts respectively. SN was not associated with worse outcome when adjusted for myeloblast percentage, (hazard ratio [HR]: 1.0; 95% confidence interval [CI]: 0.83-1.2; P<0.98). The mOS was worse for SN IDH WT compared to non-SN IDH-WT, (24 mo vs. 43.5 mo; P<0.005). This observation reflects enrichment of TP53 MT among SN IDH-WT (29%) compared to non-SN IDH WT (8%) (P=0.001). There was no difference in mOS comparing SN IDH-MT compared to non-SN IDH MT (mOS 33 mo vs. 30 mo; P=0.3). Among SN pts, there was no difference in mOS among IDH MT compared to WT (mOS 33 mo vs. 24 mo; P=0.1). Among non-SN pts IDH-MT was associated with worse OS with a mOS 31 mo compared to 42 mo for non-SN IDH-WT (P=0.04) in univariable analysis. In multivariable analysis adjusting for IPSS-R, IDH MT in non-SN pts was not statistically significantly associated with worse outcome (HR: 1.3; P=0.08)
The complete response rate (CR) to azacitidine was 20% among SN pts. There was no difference in response to azacitidine among SN pts based on IDH MT status (CR rates 20% [n=51/254] for IDH-WT and 15% [n=5/33] for IDH-MT; P=0.9).
Given the lack of effective treatment options for neutropenia in general, two symptomatic IDH1 SN lower risk MDS pts have been treated with ivosidenib. The first pt had IDH1 R123 C (variant allele frequency [VAF] 44%) and SRSF2 P95R (VAF 43%). Hemoglobin improved from 9.4 g/dL to 14 g/dL, platelets were normal at baseline. There were 1-2% circulating peripheral blood blasts which resolved on therapy. The pt has been in remission for 31 months. The second pt had DNMT3A and IDH1 R132 C mutations at baseline (VAF at 7% for both). Platelets improved from 111x109/L to 180x109/L. Hgb also improved from 11.8 g/dL to 14.1 g/dL. The pt has been in durable remission for 11 months now. Both pts achieved a complete hematologic response within 2 weeks of initiation of therapy (ANC 0.3 to 2.8 and ANC 0.21 to 2.4), which has been durable, with therapy ongoing.
Severe neutropenia is present in almost one fourth of MDS pts and it is associated with worse outcome.2 SN is more commonly observed with higher-risk disease, complex karyotype and excess myeloblasts. SN is less encountered in lower-risk MDS which may dictate choice of therapy and isolated neutropenia as sole indication for treatment in lower-risk MDS is even more rare.9 There are limited options for treating neutropenia.9 Granulocyte colony stimulating factors have not been shown to improve outcomes.10 Anti-thymocyte globulin/cyclosporine may yield trilineage response including neutrophil response in selected subset of young or hypoplastic lower-risk MDS but is rarely utilized.11 Hypomethylating agents, widely used to treat patients with bi/pancytopenia, only yield up to 20% neutrophil response compared to 19% with conventional care regimens.12
We observed that IDH MT are enriched among SN MDS pts regardless of IPSS-R risk group. Notably, in two of two IDH-1 MT SN pts, treatment with ivosidenib resulted in ongoing, durable complete hematologic responses.
The IDH MT genotype and the neutropenia phenotype association have been observed in patients with AML. IDH mutations were also commonly observed among patients with chronic idiopathic neutropenia and evidence of clonal hematopoiesis.13 Potentially, treatment early on in disease course may lead to higher response rates, particularly in the absence of other driver co-mutations.
Patnaik et al. reported IDH MT in 12% of MDS patients There was no difference in ANC based on IDH MT status. Patients with IDH-1 MT had a lower white blood cell count and were all red blood cell transfusion dependent. IDH-1 but not IDH-2 mutation in multivariable analysis was associated with inferior OS and LFS.5
The molecular IPSS was recently proposed to refine the IPSS-M prognostic utility and incorporate molecular data. Notably, the new molecular model excluded neutropenia as a clinical variable.14 A new personalized precision model using artificial intelligence retained neutrophil count as a clinical variable but did not include IDH MT.15
Early promising data using IDH inhibitors in MDS were reported in different setting including post hypomethylating agent failure higher-risk disease, first-line higher-risk MDS as single agent and in lower risk after erythroid stimulating agents’ failure.6,7 Responses were reported in 50% of lower-risk MDS patients treated with IDH inhibitors after erythroid stimulating agents failure.
Our study limitation includes its retrospective nature, not fully examining the co-occurrence of somatic mutations and the interplay with other clinical variables. The underlying biology of this observation (likely differentiation block or inhibition of dioxygenase enzymes) for MDS pts with neutropenia should be further explored. IDH inhibitors through reduction of 5-HG and promotion of differentiation may improve granulopoiesis. Our data demonstrating enrichment of IDH MT among MDS pts with SN and the anecdotal durable responses observed in two cases of lower risk MDS with SN merit further exploring this targeted therapy in the context of clinical trials.
Footnotes
- Received July 4, 2022
- Accepted November 11, 2022
Correspondence
Disclosures
RM received honoraria from BMS, Novartis, Geron, Abbvie, JAZZ, Servier and PharmaEssentia; he is part of the Speaker's Bureau of Acceleron, JAZZ, Servier and PharmaEssentia. AK received honoraria from BluePrint Medicines, Novartis, PharmaEssentia, Incyte, Prelude and Celgene/BMS; he is part of the Speaker's Bureau of Novartis and Celgene/BMS; he received research funding from Abbvie and PharmaEssentia; he consults for PharmaEssentia and CTI Biopharma; he is a member of PharmaEssentiaity's Board of Directors or advisory committees. KS is a member of Gilead, Novartis, Astellas, AROG and Bristol Meyers Squibb Board of Directors or advisory committees; he received honoraria from Novartis and Bristol Meyers Squibb. JL consults for BerGenBio, AbbVie, ElevateBio Management, Celgene/BMS, Astellas, Daiichi Sankyo, Millenium Pharma/Takeda, Servier and Jazz.EP consults for Taiho; he received honoraria from Blueprint, Kura and Stemline; he received research funding from Incyte and BMS. DAS is part of the Speaker's Bureau of Incyte, AbbVie; he is a member of Shattuck Labs, Syndax, Bristol-Myer, Magenta, Aprea, Kite and Servier Board of Directors or advisory committees; he is part of the Speaker's Bureau of Intellia; he consults for Takeda, Novartis and Aprea; he received research funding from Kite. All other authors have no conflicts of interest to disclose.
Contributions
RK designed the study, analyzed data and wrote the manuscript; NA collected and analyzed data; OC, KS, AK, JL and EP reviewed, edited and approved the final version of the manuscript and contributed patients; DS designed the study, reviewed the manuscript and contributed patients.
Data-sharing statement
No data will be shared.
References
- Volpe VO, Garcia-Manero G, Komrokji RS. Myelodysplastic syndromes: a new decade. Clin Lymphoma Myeloma Leuk. 2022; 22(1):1-16. https://doi.org/10.1016/j.clml.2021.07.031PubMedGoogle Scholar
- Greenberg PL, Tuechler H, Schanz J. Revised international prognostic scoring system for myelodysplastic syndromes. Blood. 2012; 120(12):2454-2465. https://doi.org/10.1182/blood-2012-03-420489PubMedPubMed CentralGoogle Scholar
- Greenberg PL, Stone RM, Al-Kali A. Myelodysplastic Syndromes, Version 2.2017, NCCN Clinical Practice Guidelines in Oncology. J Natl Canc Netw. 2017; 15(1):60-87. https://doi.org/10.6004/jnccn.2017.0007PubMedGoogle Scholar
- Issa GC, DiNardo CD. Acute myeloid leukemia with IDH1 and IDH2 mutations: 2021 treatment algorithm. Blood Cancer J. 2021; 11(6):107-107. https://doi.org/10.1038/s41408-021-00497-1PubMedPubMed CentralGoogle Scholar
- Patnaik MM, Hanson CA, Hodnefield JM. Differential prognostic effect of IDH1 versus IDH2 mutations in myelodysplastic syndromes: a Mayo Clinic Study of 277 patients. Leukemia. 2012; 26(1):101-105. https://doi.org/10.1038/leu.2011.298PubMedGoogle Scholar
- Ades L, Dimicoli-Salazar S, Sebert M. Enasidenib (ENA) is effective in patients with IDH2 mutated myelodysplastic syndrome (MDS) : the ideal phase 2 study by the GFM group. Blood. 2021; 138(Suppl 1):S63. https://doi.org/10.1182/blood-2021-147898Google Scholar
- Sebert M, Cluzeau T, Beyne Rauzy O. Ivosidenib monotherapy is effective in patients with IDH1 mutated myelodysplastic syndrome (MDS): the Idiome phase 2 study by the GFM group. Blood. 2021; 138(Suppl 1):S62. https://doi.org/10.1182/blood-2021-146932Google Scholar
- Sallman DA, Komrokji R, Vaupel C. Impact of TP53 mutation variant allele frequency on phenotype and outcomes in myelodysplastic syndromes. Leukemia. 2016; 30(3):666-673. https://doi.org/10.1038/leu.2015.304PubMedPubMed CentralGoogle Scholar
- Volpe VO, Komrokji RS. Treatment options for lower-risk myelodysplastic syndromes. Where are we now?. Ther Adv Hematol. 2021; 12:2040620720986641. https://doi.org/10.1177/2040620720986641PubMedPubMed CentralGoogle Scholar
- Hutzschenreuter F, Monsef I, Kreuzer KA, Engert A, Skoetz N. Granulocyte and granulocyte-macrophage colony stimulating factors for newly diagnosed patients with myelodysplastic syndromes. Cochrane Database Syst Rev. 2016; 2:CD009310. https://doi.org/10.1002/14651858.CD009310.pub2PubMedGoogle Scholar
- Komrokji RS, Mailloux AW, Chen DT. A phase II multicenter rabbit anti-thymocyte globulin trial in patients with myelodysplastic syndromes identifying a novel model for response prediction. Haematologica. 2014; 99(7):1176-1183. https://doi.org/10.3324/haematol.2012.083345PubMedPubMed CentralGoogle Scholar
- Fenaux P, Mufti GJ, Hellstrom-Lindberg E. Efficacy of azacitidine compared with that of conventional care regimens in the treatment of higher-risk myelodysplastic syndromes: a randomised, open-label, phase III study. Lancet Oncol. 2009; 10(3):223-232. https://doi.org/10.1016/S1470-2045(09)70003-8PubMedPubMed CentralGoogle Scholar
- Tsaknakis G, Galli A, Papadakis S. Incidence and prognosis of clonal hematopoiesis in patients with chronic idiopathic neutropenia. Blood. 2021; 138(14):1249-1257. https://doi.org/10.1182/blood.2021010815PubMedGoogle Scholar
- Bernard E, Tuechler H, Greenberg PL. Molecular international prognosis scoring system for myelodysplastic syndromes. NEJM Evid. 2022; 1(7)Google Scholar
- Nazha A, Komrokji R, Meggendorfer M. Personalized prediction model to risk stratify patients with myelodysplastic syndromes. J Clin Oncol. 2021; 39(33):3737-3746. https://doi.org/10.1200/JCO.20.02810PubMedPubMed CentralGoogle Scholar
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