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Individual outcome prediction for myelodysplastic syndrome (MDS) and secondary acute myeloid leukemia from MDS after allogeneic hematopoietic cell transplantation
- Source :
- Ann Hematol, Annals of Hematology
- Publication Year :
- 2017
-
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.
- 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
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Ann Hematol, Annals of Hematology
- Accession number :
- edsair.doi.dedup.....1df625bbb5bfe99e97416a61874d3db8