Validation and refinement of the 2022 European LeukemiaNet genetic risk stratification of acute myeloid leukemia.
Christian RauschMaja Rothenberg-ThurleyAnnika DufourStephanie SchneiderHanna GittingerCristina SauerlandDennis GörlichUtz KrugWolfgang E BerdelBernhard J WoermannWolfgang HiddemannJan BraessMichael von Bergwelt-BaildonKarsten SpiekermannTobias HeroldKlaus H MetzelerPublished in: Leukemia (2023)
The revised 2022 European LeukemiaNet (ELN) AML risk stratification system requires validation in large, homogeneously treated cohorts. We studied 1118 newly diagnosed AML patients (median age, 58 years; range, 18-86 years) who received cytarabine-based induction chemotherapy between 1999 and 2012 and compared ELN-2022 to the previous ELN-2017 risk classification. Key findings were validated in a cohort of 1160 mostly younger patients. ELN-2022 reclassified 15% of patients, 3% into more favorable, and 12% into more adverse risk groups. This was mainly driven by patients reclassified from intermediate- to adverse-risk based on additional myelodysplasia-related mutations being included as adverse-risk markers. These patients (n = 79) had significantly better outcomes than patients with other adverse-risk genotypes (5-year OS, 26% vs. 12%) and resembled the remaining intermediate-risk group. Overall, time-dependent ROC curves and Harrel's C-index controlling for age, sex, and AML type (de novo vs. sAML/tAML) show slightly worse prognostic discrimination of ELN-2022 compared to ELN-2017 for OS. Further refinement of ELN-2022 without including additional genetic markers is possible, in particular by recognizing TP53-mutated patients with complex karyotypes as "very adverse". In summary, the ELN-2022 risk classification identifies a larger group of adverse-risk patients at the cost of slightly reduced prognostic accuracy compared to ELN-2017.
Keyphrases
- newly diagnosed
- end stage renal disease
- acute myeloid leukemia
- chronic kidney disease
- ejection fraction
- peritoneal dialysis
- prognostic factors
- machine learning
- emergency department
- type diabetes
- squamous cell carcinoma
- metabolic syndrome
- adverse drug
- electronic health record
- drug induced
- clinical evaluation
- dna methylation
- skeletal muscle