AI Article Synopsis

  • Only 5-15% of AML patients over 60 achieve a cure with chemotherapy, highlighting the need for better patient identification for treatment.
  • A study on 423 older AML patients used genetic profiling to classify them into good, intermediate, and poor-risk groups based on their likelihood of achieving complete remission and survival rates.
  • The findings suggest that incorporating genetic mutations into patient classification could improve predictions for treatment outcomes, potentially refining existing classification criteria in older AML patients.

Article Abstract

Thus far, only 5-15% of AML patients aged ≥60 years are cured with chemotherapy. Identification of patients who are less (more) likely to respond to standard chemotherapy might enable early risk stratification toward alternative treatment regimens. We used a next-generation sequencing panel of 80 cancer- and/or leukemia-associated genes to profile molecularly 423 older patients with de novo AML. Using variables identified in multivariable models and co-occurring mutations in NPM1-mutated AML, we classified the patients into good-, intermediate-, and poor-risk groups for complete remission (CR) attainment, disease-free (DFS), and overall survival (OS). Whereas 81% of good-risk patients (comprising NPM1-mutated patients harboring mutations in chromatin remodeling, cohesin complex, methylation-related, spliceosome, and/or RAS pathway genes, FLT3-TKD, and/or patients without FLT3-ITD) achieved a CR, only 32% of poor-risk patients (with U2AF1, WT1 mutations and/or complex karyotype) did. Intermediate-risk patients had a 50% CR rate. Similarly, using NPM1 co-mutation patterns and SF1 mutation status, we identified patients with favorable DFS and OS 3-year rates of 46% and 45%, respectively. Patients with adverse genetic features had DFS and OS rates of only 2% and 4%. We show that application of our proposed criteria may refine the 2017 European LeukemiaNet classification for older patients treated with chemotherapy.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5992022PMC
http://dx.doi.org/10.1038/s41375-018-0068-2DOI Listing

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