- December 27, 2024
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Background
Risk stratification in acute myeloid leukemia (AML) is critical to tailor timely induction therapy. The most widely utilized risk stratification approach is the European LeukemiaNet (ELN) that usually requires bone marrow biopsy and genomic testing. Inflammation is increasingly recognized as a critical factor in AML. Novel biomarkers from robust blood-based tests are needed to accurately and efficiently risk stratify patients with newly diagnosed AML.
Methods
— Inflammatory proteome was evaluated through blood-based proteomic profiling of 251 soluble inflammatory proteins using NUcleic acid Linked Immuno-Sandwich Assay (NULISA), a proximity-ligation assay based on NGS or PCR allowing attomolar (10-18) detection in 543 newly diagnosed AML patients
— Multivariable cox models with L1 regularization were used to test the independent
prognostic ability. A seven-protein prognostic score (Leukemia Inflammatory Risk Score, LIRS) was developed
— Model performance was assessed by cumulative concordance index (C-index) and time-dependent area under the curve (tdAUC).
— Findings were validated in internal and external cohorts, including a prospective cohort of newly diagnosed AML patients.
Authors & Affiliations
HA Abbas1, B Wang1, J Marvin-Peek1, B Yuan1, A Garza1, J Root1, A Arruda2, Y Liu1, CD DiNardo1, TM Kadia1, NG Daver1, PL Lorenzi1, K Sasaki1, S Kornblau1, MD Minden2, F Ravandi1, HM Kantarjian1, PK Reville1
1The University of Texas MD Anderson Cancer Center, Houston, TX, USA. 2Princess Margaret Cancer Centre, Toronto, Ontario, Canada
