Impact of leukocytosis on outcomes in patients with myelofibrosis: A propensity-matched analysis.

K Kanishka Uttam Chandani (4Mayo Clinic, Hematology-Oncology, Phoenix, United States) J Jatin Thukral (Landmark Medical Center, Woonsocket, Cumberland, Rhode Island, United States) R Riya Shah (New York Medical College, Landmark Medical Center, Woonsocket, RI) V Vida Tajiknia (1New York Medical College/Landmark Medical Center, Hematology-Oncology, Woonsocket, United States) P Pyush Moudgil (Gian Sagar Medical College, Ramnagar, Punjab, India) S Sooraj Srirangadhamu Gopu (1New York Medical College/Landmark Medical Center, Hematology-Oncology, Woonsocket, United States) A Amanda Lussier (1New York Medical College/Landmark Medical Center, Hematology-Oncology, Woonsocket, United States) D Diana Zamora (Mayo Clinic Hospital, Phoenix, AZ) A Akshaya Keerti (Mtmh, Jamshedpur, India) A Ashish Sharma A Apoorva Kondapally (6Asante Rogue Regional Medical Center, Medford, United States) U Usman Ilyas (1Mayo Clinic, Phoenix, United States) S Sarah Elizabeth Monick (Mayo Clinic Arizona, Phoenix, AZ) V Vishnu Yanamaladoddi (Creighton University School of Medicine-Phoenix, Phoenix, AZ) M Muhammad Ali Khan J Jeanne M. Palmer (Division of Hematology, Mayo Clinic Arizona, Scottsdale, AZ)

Abstract

e18608 Background: Myelofibrosis (MF) is a myeloproliferative neoplasm (MPN) that is characterized by bone marrow fibrosis and inefficient hematopoiesis, leading to extramedullary hematopoiesis. Leukocytosis, a common disease manifestation and a minor criterion for the diagnosis of MF, has been associated with poorer clinical outcomes. This study evaluates the long term impact of leukocytosis on clinical outcomes at different time points in the real-world population of patients with MF. Methods: We conducted a retrospective cohort study using de-identified EHR data from the TriNetX Global Federated Health Research Network. Adults (≥18 years) with myelofibrosis were identified using ICD-10 and ICD-O-3 codes and stratified into leukocytosis (WBC ≥25.0 ×10³/µL; L+) and non-leukocytosis (L−) cohorts at the index diagnosis. Patients with prior or current hematopoietic stem cell transplantation were excluded. Cohorts were propensity score–matched 1:1 for demographics, comorbidities, and baseline laboratory values. Outcomes at 1, 3, and 5 years included all-cause mortality, pulmonary embolism, venous thromboembolism, and transformation to acute myeloid leukemia, with hazard ratios estimated using Cox proportional hazards models. Results: After matching, 13237 patients with MF were identified, of whom 52.12% were male, and 47.8% were female. The mean age in L+ and L- was 66.5 +/- 16.6 years and 68.1 +/- 15.5 years, respectively. The mean hemoglobin in L+ was 10.9+/- 2.8 g/dL, and in L- was 12.9+/- 2.3 g/dL. The mean platelet count in L+ was 303.4+/- 294.9 and in L- was 239.5+/- 151.4 ×10³/µL. HR for all-cause mortality in L+ when compared to L- at years 1, 3, and 5 were statistically significant at 4.079 (95% CI 3.691-4.508), 3.215 (95% CI 2.982-3.466), and 2.787 (95% CI 2.608-2.978), respectively, with log-rank p < 0.01. The HR for PE in L+ when compared to L- was statistically significant at years 1, 3, and 5 at 2.014 (95% CI 1.455-2.787), 1.883 (95% CI 1.451-2.787) and 1.659 (95% CI 1.318-2.088) with log-rank p<0.01. HR for VTE in L+ when compared to L- was statistically significant at years 1, 3, and 5 at 2.501 (95% CI 1.937-3 .229), 1.802 (95% CI 1.491-2.178), and 1.561 (95% CI 1.32-1.847) with log-rank p<0.01. Risk of transformation to AML in L+ when compared to L- at years 1, 3, and 5 was significant with HRs being 9.806 (95% CI 6.575-14.627), 8.823 (95% CI 6.334-12.29), 9.371 (95% CI 6.813-12.891) with log-rank p<0.01. Conclusions: In this large real-world, propensity-matched cohort, leukocytosis in myelofibrosis was associated with significantly higher risks of all-cause mortality, thromboembolic events, and transformation to acute myeloid leukemia across 1-, 3-, and 5-year time points. These findings underscore leukocytosis as a powerful adverse prognostic marker in MF and highlight the need for closer surveillance and risk-adapted therapeutic strategies in this high-risk population.

Article Details

Volume / Issue Vol. 44, Issue 16_suppl
Published June 01, 2026
ISSN 0732-183X
Publisher Lippincott Williams & Wilkins

Journal Info

Journal of Clinical Oncology

Lippincott Williams & Wilkins

ISSN: 0732-183X Health Sciences

Authors (16)

K

Kanishka Uttam Chandani

4Mayo Clinic, Hematology-Oncology, Phoenix, United States

J

Jatin Thukral

Landmark Medical Center, Woonsocket, Cumberland, Rhode Island, United States

R

Riya Shah

New York Medical College, Landmark Medical Center, Woonsocket, RI

V

Vida Tajiknia

1New York Medical College/Landmark Medical Center, Hematology-Oncology, Woonsocket, United States

P

Pyush Moudgil

Gian Sagar Medical College, Ramnagar, Punjab, India

S

Sooraj Srirangadhamu Gopu

1New York Medical College/Landmark Medical Center, Hematology-Oncology, Woonsocket, United States

A

Amanda Lussier

1New York Medical College/Landmark Medical Center, Hematology-Oncology, Woonsocket, United States

D

Diana Zamora

Mayo Clinic Hospital, Phoenix, AZ

A

Akshaya Keerti

Mtmh, Jamshedpur, India

A

Ashish Sharma

A

Apoorva Kondapally

6Asante Rogue Regional Medical Center, Medford, United States

U

Usman Ilyas

1Mayo Clinic, Phoenix, United States

S

Sarah Elizabeth Monick

Mayo Clinic Arizona, Phoenix, AZ

V

Vishnu Yanamaladoddi

Creighton University School of Medicine-Phoenix, Phoenix, AZ

M

Muhammad Ali Khan

J

Jeanne M. Palmer

Division of Hematology, Mayo Clinic Arizona, Scottsdale, AZ