Session: 634. Myeloproliferative Syndromes: Clinical and Epidemiological: Poster III
METHODS: We retrospectively analyzed patients who received targeted gene sequencing at Massachusetts General Brigham / Dana Farber Cancer Institute (N=977) from 2014-2023, and met WHO 2016 criteria for PV, ET, MF, or pre-fibrotic MF. CV RFs were identified through ICD-9 or 10 codes present prior to MPN diagnosis, and defined as hypertension, hyperlipidemia, diabetes, current smoking status, or BMI>30. Patient and treatment characteristics were described with summary statistics. Genomic profiles were compared between ET, PV, and MF patients with vs without a CV RF. Primary outcome was overall death. Secondary outcomes were venous thromboembolism, arterial thrombosis (including myocardial infarction and stroke), and transformation to MF or acute myeloid leukemia (AML). We calculated cumulative incidence functions of arterial/venous thrombosis as well as overall survival in patients with or without a CV RF. Hazard ratios (HR) were estimated for outcomes using Cox proportional hazards regression.
RESULTS: Our cohort contained 399 (39.6%) ET, 312 (31.0%) PV, and 237 (23.5%) MF or pre-fibrotic MF patients. The median age at diagnosis was 58.5 years, and 47.9% of patients were male. The overall prevalence of hyperlipidemia, hypertension, and diabetes at MPN diagnosis was 16%, 20%, and 8%. The average BMI at diagnosis in all MPNs was 27.28, with 64% and 23% of patients having a BMI of >25 and >30. Six percent of MPN patients were current smokers at time of diagnosis, compared to 39% former smokers and 56% never smokers.
ET and PV patients with ≥1 CV RF at MPN (N = 234, 32.9%) diagnosis were older (mean age 61.1 vs 52.1 years, p<0.001), and more likely to be male (50.9% vs 41.3%, p=0.02), non-White (12.4% vs 7.6%, p=0.015), and have a prior history of atherosclerotic disease (16.2% vs 4.4%, p<0.001), thrombosis (13.7% vs 5.0%, p<0.001), and heart failure (2.1% vs 0.4%, p=0.042). MF patients with ≥1 CV RF (N = 120, 50.6%) were also more likely to be older (mean age 67.5 vs 60.4 years, p<0.001), male (66.7% vs 53.9%, p=0.047), and have a prior history of atherosclerotic disease (19.2% vs 6.0%, p=0.003) (Table).
Results of targeted gene sequencing closest to MPN diagnosis were analyzed. A similar proportion of driver (JAK2, CALR, MPL) and concomitant (TET2, ASXL1, DNMT3A, SRSF2, SF3B1, U2AF1, ZRSR2) mutations were seen in MPN patients with or without a CV RF. However, patients with ET or PV with ≥1 CV RF had a lower variant allele fraction (VAF) of their driver mutation (mean 41.0% vs 48.1%, p = 0.004), which was primarily driven by JAK2 (mean 43.5% vs 52.0%, p=0.003).
In ET and PV, after adjusting for variables significant on univariate analysis, the presence of ≥1 CV RF was associated with higher risk of death from any cause (HR 1.73, 95% CI 1.08-2.76) and arterial thrombosis (HR 2.33, 95% CI 1.22-4.42). Among patients with MF, the presence of ≥1 CV RF was not associated with increased risk of death when adjusted for age, sex, and prior thrombosis (HR 1.36, 95% CI 0.84 – 2.20). MPN patients with ≥1 CV RF did not have increased rates of MF or leukemia progression (Fig).
DISCUSSION: In our study, CV RFs are common among patients with MPN. CV RFs were associated with adverse outcomes, including death and thrombosis among patients with ET or PV. We found no differences in the molecular profiles in MPN patients with or without CV RFs, although a lower JAK2 VAF was seen in patients without CV RFs, which will need to be explored further. MPN patients with a CV RF had significantly worse overall survival and cumulative arterial thrombosis rates, although the presence of CV RFs does not impact MF or leukemia progression. However, our results highlight the importance of addressing CV RFs in MPN care to improve morbidity and mortality.
Disclosures: Weeks: Abbvie: Consultancy; Sobi: Membership on an entity's Board of Directors or advisory committees; Vertex: Consultancy. Stahl: Boston Consulting: Consultancy; Rigel: Membership on an entity's Board of Directors or advisory committees; Sierra Oncology: Membership on an entity's Board of Directors or advisory committees; Dedham group: Consultancy; Clinical care options: Other: GME activity ; Haymarket Media: Other: GME activity ; Novartis: Membership on an entity's Board of Directors or advisory committees, Other: GME activity ; Curis Oncology: Other: GME activity ; Kymera: Membership on an entity's Board of Directors or advisory committees; GSK: Membership on an entity's Board of Directors or advisory committees. DeAngelo: Takeda: Honoraria; Servier: Honoraria; Kite: Honoraria; Incyte: Honoraria; Novartis: Research Funding; Novartis: Honoraria; AbbVie: Research Funding; Pfizer: Honoraria; Gilead: Honoraria; Blueprint: Honoraria; Jazz: Honoraria; Autolus: Honoraria; Blueprint: Research Funding; GlycoMimetics: Research Funding; Amgen: Honoraria. Lindsley: Jazz Pharmaceuticals: Consultancy; Verve Therapuetics: Consultancy; Sarepta Therapuetics: Consultancy; Qiagen: Consultancy; Bluebird bio: Consultancy, Membership on an entity's Board of Directors or advisory committees; Takeda Pharmaceuticals: Consultancy; Vertex Pharmaceuticals: Consultancy. Luskin: Novartis: Honoraria; Novartis: Research Funding; Pfizer: Honoraria; Jazz: Honoraria; AbbVie: Research Funding. Hobbs: Abbvie: Membership on an entity's Board of Directors or advisory committees; Incyte: Research Funding; BMS: Membership on an entity's Board of Directors or advisory committees; Pfizer: Membership on an entity's Board of Directors or advisory committees; Pharmaxis: Membership on an entity's Board of Directors or advisory committees; Regeneron: Current holder of stock options in a privately-held company; Novartis: Membership on an entity's Board of Directors or advisory committees; Morphosys: Membership on an entity's Board of Directors or advisory committees, Research Funding; Protagonist: Membership on an entity's Board of Directors or advisory committees; Keros: Membership on an entity's Board of Directors or advisory committees.
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