Prognostic risk signature in patients with acute myeloid leukemia treated with hypomethylating agents and venetoclax.
Alex BatallerAlexandre BazinetCourtney D D DiNardoAbhishek MaitiGautam BorthakurNaval G DaverNicholas James ShortElias J JabbourGhayas C IssaNaveen PemmarajuMusa YilmazGuillermo Montalban-BravoKoichi TakahashiSanam LoghaviGuillermo Garcia-ManeroFarhad RavandiHagop M KantarjianTapan M KadiaPublished in: Blood advances (2023)
Hypomethylating agents (HMAs) and venetoclax (Ven) represent the standard of care for patients with acute myeloid leukemia (AML) who are ineligible for intensive chemotherapy. However, the European LeukemiaNet (ELN) risk classifications have been validated in patients treated with intensive therapy. In this study we validate a recently proposed new molecular prognostic risk signature (mPRS) for patients with AML treated with HMAs and Ven. This classification allocated patients to favorable, intermediate (N/KRAS or FLT3-internal tandem duplication mutations) and lower (TP53 mutations) benefit groups. We retrospectively analyzed 159 patients treated with HMA and Ven. The mPRS classification allocated 74 (47%), 31 (19%), and 54 (34%) patients to the higher, intermediate, and lower benefit groups, respectively. The overall response rate was 71% (86%, 54%, and 59% in the higher, intermediate, and lower benefit groups, respectively). The median OS and EFS times were 30 and 19 months, respectively, in the higher benefit group; 12 and 8 months, respectively, in the intermediate benefit group; and 5 and 4 months, respectively, in the lower benefit group (p < .001). The C-index for OS and EFS was higher when stratifying patients according to mPRS classification, compared with the ELN 2022 classification. The 2-year cumulative incidence of relapse was 35%, 70%, and 60% in the higher, intermediate, and lower benefit groups, respectively (p = .005). The mPRS classification accurately segregated groups of AML patients treated with HMA plus Ven. In these patients, N/KRAS and TP53 mutations appear to negatively impact outcomes and therefore new treatment approaches are warranted.
Keyphrases
- acute myeloid leukemia
- end stage renal disease
- newly diagnosed
- chronic kidney disease
- machine learning
- healthcare
- prognostic factors
- patient reported outcomes
- risk factors
- type diabetes
- single molecule
- allogeneic hematopoietic stem cell transplantation
- acute lymphoblastic leukemia
- mesenchymal stem cells
- weight loss
- health insurance
- chronic pain
- rectal cancer
- patient reported
- cell therapy