1. Individual outcome prediction for myelodysplastic syndrome (MDS) and secondary acute myeloid leukemia from MDS after allogeneic hematopoietic cell transplantation
- Author
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Alessandro Liebich, Thomas Schroeder, Vera Dobbernack, Uwe Platzbecker, Victoria Panagiota, Christian Koenecke, Gudrun Göhring, Robert Geffers, Mira Pankratz, Patrick Löffeld, Sabrina Klesse, Arnold Ganser, Henriette Kreimeyer, Brigitte Schlegelberger, Felicitas Thol, Ulrich Germing, Hans-Heinrich Kreipe, Martin Wichmann, Rabia Shahswar, Christian Thiede, Nicolaus Kröger, Michael Heuser, Razif Gabdoulline, Guido Kobbe, Madita Flintrop, and Michael Stadler
- Subjects
Neuroblastoma RAS viral oncogene homolog ,Oncology ,Adult ,Male ,medicine.medical_specialty ,Multivariate analysis ,IDH2 ,Risk Assessment ,Article ,03 medical and health sciences ,Young Adult ,0302 clinical medicine ,Risk Factors ,Internal medicine ,Complex Karyotype ,Outcome Assessment, Health Care ,Medicine ,Secondary Acute Myeloid Leukemia ,Humans ,Transplantation, Homologous ,Cumulative incidence ,Precision Medicine ,10. No inequality ,Aged ,Proportional Hazards Models ,Hematology ,business.industry ,Hematopoietic Stem Cell Transplantation ,Neoplasms, Second Primary ,General Medicine ,Sequence Analysis, DNA ,Middle Aged ,Prognosis ,Survival Analysis ,3. Good health ,Transplantation ,Leukemia, Myeloid ,030220 oncology & carcinogenesis ,Myelodysplastic Syndromes ,Immunology ,Acute Disease ,Multivariate Analysis ,Mutation ,Female ,business ,Algorithms ,030215 immunology - Abstract
We integrated molecular data with available prognostic factors in patients undergoing allogeneic hematopoietic cell transplantation (alloHCT) for myelodysplastic syndrome (MDS) or secondary acute myeloid leukemia (sAML) from MDS to evaluate their impact on prognosis. Three hundred four patients were sequenced for mutations in 54 genes. We used a Cox multivariate model and competing risk analysis with internal and cross validation to identify factors prognostic of overall survival (OS), cumulative incidence of relapse (CIR), and non-relapse mortality (NRM). In multivariate analysis, mutated NRAS, U2AF1, IDH2, and TP53 and/or a complex karyotype were significant prognostic markers for OS besides age above 60 years, remission status, IPSS-R cytogenetic risk, HCT-CI > 2 and female donor sex. Mutated NRAS, IDH1, EZH2, and TP53 and/or a complex karyotype were genetic aberrations with prognostic impact on CIR. No molecular markers were associated with the risk of NRM. The inclusion of molecular information results in better risk prediction models for OS and CIR when assessed by the Akaike information criterion. Internal cross validation confirmed the robustness of our comprehensive risk model. In summary, we propose to combine molecular, cytogenetic, and patient- and transplantation-associated risk factors into a comprehensive risk model to provide personalized predictions of outcome after alloHCT.
- Published
- 2017