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1830 Genetic Diversity Drives Differing Morphological and Clinical Presentation and Survival in Myelodysplastic-Type CMML with a Low Absolute Monocyte Count

Program: Oral and Poster Abstracts
Session: 637. Myelodysplastic Syndromes: Clinical and Epidemiological: Poster I
Hematology Disease Topics & Pathways:
CMML, Chronic Myeloid Malignancies, Diseases, Myeloid Malignancies
Saturday, December 7, 2024, 5:30 PM-7:30 PM

Curtis A Lachowiez, MD1, Georgios Asimomitis2*, Elsa Bernard, PhD3*, Yanis Tazi, MSc, BSc4*, Maria Creignou, MD5*, Ulrich Germing, MD6*, Norbert Gattermann, MD7, Amanda Gilkes, PhD8*, Ian Thomas9*, Lars Bullinger10, Konstanze Döhner, MD11, Luca Malcovati, MD12, Nigel H. Russell, MD13, Mario Cazzola, MD14, Hartmut Döhner, MD11, Brian J P Huntly, MD15*, Robert P Hasserjian, MD16, Eva Hellstrom Lindberg, MD, PhD17*, Sanam Loghavi, MD18 and Elli Papaemmanuil19

1Knight Cancer Institute, Oregon Health & Science University, Portland, OR
2Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, Memorial Sloan Kettering Cancer Center, New York, NY
3Gustave Roussy, université Paris-Saclay, Inserm U981, Villejuif, France
4Memorial Sloan Kettering Cancer Center, New York
5Phase 1 Unit, Center for Clinical Cancer Studies, Karolinska University Hospital, Stockholm, Sweden
6Department of Hematology, Oncology and Clinical Immunology, University Medical Center Düsseldorf, Heinrich-Heine-University, Düsseldorf, Germany
7Heinrich-Heine-Universitat, Dusseldorf, Germany
8Department of Haematology, Division of Cancer & Genetics School of Medicine, Cardiff University, Cardiff, United Kingdom
9Centre for Trials Research, Cardiff University, Cardiff, United Kingdom
10Department of Hematology, Oncology, and Cancer Immunology, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
11Department of Internal Medicine III, University Hospital of Ulm, Ulm, Germany
12Department of Molecular Medicine, University of Pavia, Piazzale Golgi 2, Italy
13Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom
14University of Pavia, Pavia, Italy
15Department of Haematology, University of Cambridge, Cambridge, United Kingdom
16Department of Pathology, Massachusetts General Hospital, Boston, MA
17Center for Hematology and Regenerative Medicine (HERM), Department of Medicine Huddinge, Karolinska Institutet, Stockholm, Sweden
18Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX
19Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY

Background:

The World Health Organization (WHO 5th ) and International Consensus Classification (ICC) revised the defining criteria of chronic myelomonocytic leukemia (CMML), lowering the absolute monocyte count (AMC) threshold for diagnosing CMML from 1 x109/ L to 0.5 x109/ L while retaining the requirement for a relative monocyte count of ≥10%. This study aimed to compare the phenotypic manifestations and genetic landscape of AMC of 0.5- <1.0 x 109/L (AMClow) CMML to cases of CMML with AMC of ≥1 × 109/ L (AMChigh).

Methods

As all AMClow cases are (by definition) myelodysplastic-type CMML (MD-CMML; WBC <13 × 109 /L) we restricted comparisons to AMChigh MD-CMML. Molecular and clinical data were queried from the International Working Group for Prognosis in MDS (IWG-PM) cohort of adult patients with myeloid neoplasms (N= 3,323).

Demographics were analyzed using descriptive statistics with between-group differences assessed using the Wilcoxon rank-sum test or Fisher’s exact test. Leukemia free (LFS) and overall survival (OS) were analyzed using the log-rank method. Factor analysis of mixed data was employed for dimensionality reduction to assess the inter-relationship between categorical features (i.e., mutation present vs. absent) and quantitative variables (i.e., AMC, hemoglobin, etc.). Multivariable analysis (MVA) utilized Cox proportional hazards regression modeling.

Results

469 patients (pts) met WHO 5th and ICC criteria for MD-CMML, including 264 pts with AMClow and 205 pts with AMChigh. Notable clinical differences between AMClow vs. AMChigh cases included lower median BM blasts (3% vs. 3.4%, p: 0.007), median absolute neutrophil count (2.2 vs. 3 x109/L, p < 0.001), hemoglobin (9.8 vs. 10.7 g/dL, p: 0.001), relative monocytes (14% vs. 25%, p < 0.001) and a higher median platelet count (159 vs. 121 x109/L, p: 0.002).

Co-mutation analysis across discretized AMC categories (AMClow vs. AMChigh) revealed distinct associations between genotype and AMC. AMChigh cases were enriched for mutations (mut) in TET2 (60% vs. 46%, p: 0.005), SRSF2 (31% vs. 19%, p: 0.002), CBL (10% vs. 4%, p:0.008), KRAS (14% vs. 2%, p < 0.001), NRAS (9% vs. 3%, p: 0.008), and PTPN11 (5% vs. 0.3%, p < 0.001), while SF3B1 (34% vs. 15% p < 0.001) and DNMT3A mut (19% vs. 9%, p: 0.005) were more frequent in AMClow cases. Biallelic TET2 mut (48% vs. 22%, p < 0.001) and co-occurring mut in TET2 and SRSF2 (24% vs.11%, p < 0.001) were also more frequent in AMChigh cases while del(5q) abnormalities were more common in AMClow cases (7% vs. 3%, p: 0.022)

When evaluating the overlap of presenting clinical and molecular features using factor analysis of mixed data, biallelic TET2 and TET2/SRSF2 mut (versus wild-type TET2 and SRSF2) were associated with higher AMC, while SF3B1 mut was associated with lower hemoglobin and higher platelet counts. RAS pathway mut (N/KRAS, CBL, NF1, and PTPN11) correlated with increased BM blasts, AMC, and monocyte percentage.

In accordance with the varied genetic landscape of AMClow vs. AMChigh, LFS was superior in AMClow vs. AMChigh MD-CMML (median 2.87 vs. 4.03 years, p: 0.037), with a trend towards longer OS (median 3.61 vs. 4.33 years, p: 0.055). However, genetic factors influenced survival more robustly, irrespective of the AMC group. In MVA, after adjusting for baseline hematologic parameters and differing molecular aberrations, RAS pathway mut were associated with an increased risk (HR: 1.60, 95% CI 1.13-2.26, p: 0.007) and SF3B1 mut was associated with a decreased risk of death (HR: 0.72, 95% CI: 0.50-1.05, p: 0.016) while AMClow vs. AMChigh did not retain significance (HR: 0.76, 95% CI: 0.52-1.09, p: 0.13).

Conclusions

In patients with MD-CMML, the clinical disease presentation and patient outcomes appear to be driven by underlying molecular abnormalities rather than AMC. Accordingly, with the recent reduction in the AMC count to 0.5 x109/ L for the classification of CMML, a portion of newly included CMML cases share overlapping genetics and blood count parameters with myelodysplastic neoplasms (MDS) . The molecular profile of a subset of AMClow cases overlapped with AMChigh cases, suggesting the AMClow group is genetically heterogeneous, with some cases more similar to AMChigh CMML and others more similar to MDS. This shared molecular ontogeny correlates with the clinical features of disease presentation, suggesting that molecular-based criteria may better define AMClow CMML and refine disease classification.

Disclosures: Lachowiez: COTA Healthcare: Consultancy; Rigel: Membership on an entity's Board of Directors or advisory committees; Servier: Membership on an entity's Board of Directors or advisory committees; BMS: Membership on an entity's Board of Directors or advisory committees; Syndax: Membership on an entity's Board of Directors or advisory committees; AbbVie: Membership on an entity's Board of Directors or advisory committees, Research Funding. Germing: BMS: Research Funding; JAZZ: Research Funding; Abbvie: Research Funding; Novatis: Honoraria; BMS: Honoraria. Gattermann: Novartis: Honoraria; Bristol-Meyers-Squibb: Honoraria; Takeda: Research Funding. Bullinger: Seattle Genetics: Consultancy, Honoraria; Sanofi: Consultancy, Honoraria; Pfizer: Consultancy, Honoraria; Novartis: Consultancy, Honoraria; Menarini: Consultancy, Honoraria; Jazz Pharmaceuticals: Consultancy, Honoraria, Research Funding; Janssen: Consultancy, Honoraria; Hexal: Consultancy, Honoraria; Gilead: Consultancy, Honoraria; Daiichi Sankyo: Consultancy, Honoraria; Celgene: Consultancy, Honoraria; BMS: Consultancy, Honoraria; Astellas: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Abbvie: Consultancy, Honoraria; Bayer: Research Funding. Döhner: Novartis, AbbVie, Astellas, Bristol Myers Squibb, Celegne, Jazz Pharmaceuticals, Kronos Bio, Servier: Research Funding; AbbVie, AOP Health, Janssen, Jazz, Novartis, Bristol Myers Squibb, Celegne: Consultancy, Honoraria. Russell: Jazz: Research Funding; Servier: Honoraria; Pfizer: Honoraria, Research Funding; Astellas: Honoraria. Huntly: Janpix: Membership on an entity's Board of Directors or advisory committees; Istesso: Consultancy; Amphista: Consultancy; Menerini: Consultancy; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees; AstraZeneca: Research Funding; Pfizer: Honoraria, Membership on an entity's Board of Directors or advisory committees. Hasserjian: Bluebird Bio: Consultancy. Loghavi: Pathology Education Partners; VJ HemeOnc, College of American Pathologists, OncLive, ICCS, MD Education, NCCN, MashUp Media, NCTN, Aptitude Health: Honoraria; Guidepoint; QualWorld; Gerson Lehrman Group, AlphaSight, Arima, Qiagen, Opinion Health: Consultancy; Astellas, Amgen: Research Funding; Abbvie: Current holder of stock options in a privately-held company; Syndx, Servier, BMS: Membership on an entity's Board of Directors or advisory committees; Abbvie, Daiichi Sankyo, BluePrint Medicine, Caris Diagnostics, Recordati, Servier: Consultancy. Papaemmanuil: Isabl Inc.: Current holder of stock options in a privately-held company, Other: CEO, Patents & Royalties; TenSixteen Bio: Current holder of stock options in a privately-held company.

*signifies non-member of ASH