| Autor: |
Era L. Pogosova-Agadjanyan, Anna Moseley, Megan Othus, Frederick R. Appelbaum, Thomas R. Chauncey, I-Ming L. Chen, Harry P. Erba, John E. Godwin, Isaac C. Jenkins, Min Fang, Mike Huynh, Kenneth J. Kopecky, Alan F. List, Jasmine Naru, Jerald P. Radich, Emily Stevens, Brooke E. Willborg, Cheryl L. Willman, Brent L. Wood, Qing Zhang, Soheil Meshinchi, Derek L. Stirewalt |
| Jazyk: |
angličtina |
| Rok vydání: |
2020 |
| Předmět: |
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| Zdroj: |
Biomarker Research, Vol 8, Iss 1, Pp 1-13 (2020) |
| Druh dokumentu: |
article |
| ISSN: |
2050-7771 |
| DOI: |
10.1186/s40364-020-00208-1 |
| Popis: |
Abstract Background The recently updated European LeukemiaNet risk stratification guidelines combine cytogenetic abnormalities and genetic mutations to provide the means to triage patients with acute myeloid leukemia for optimal therapies. Despite the identification of many prognostic factors, relatively few have made their way into clinical practice. Methods In order to assess and improve the performance of the European LeukemiaNet guidelines, we developed novel prognostic models using the biomarkers from the guidelines, age, performance status and select transcript biomarkers. The models were developed separately for mononuclear cells and viable leukemic blasts from previously untreated acute myeloid leukemia patients (discovery cohort, N = 185) who received intensive chemotherapy. Models were validated in an independent set of similarly treated patients (validation cohort, N = 166). Results Models using European LeukemiaNet guidelines were significantly associated with clinical outcomes and, therefore, utilized as a baseline for comparisons. Models incorporating age and expression of select transcripts with biomarkers from European LeukemiaNet guidelines demonstrated higher area under the curve and C-statistics but did not show a substantial improvement in performance in the validation cohort. Subset analyses demonstrated that models using only the European LeukemiaNet guidelines were a better fit for younger patients (age |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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