A prognostic model of therapy-related myelodysplastic syndrome for predicting survival and transformation to acute myeloid leukemia

Alfonso Quintás-Cardama, Naval Daver, Hawk Kim, Courtney Dinardo, Elias Jabbour, Tapan Kadia, Gautam Borthakur, Sherry Pierce, Jianqin Shan, Marylou Cardenas-Turanzas, Jorge Cortes, Farhad Ravandi, William Wierda, Zeev Estrov, Stefan Faderl, Yue Wei, Hagop Kantarjian, Guillermo Garcia-Manero

Research output: Contribution to journalArticle

36 Scopus citations

Abstract

Results: Multivariate Cox regression analysis identified 7 factors that independently predicted short survival in t-MDS: age ≥ 65 years (hazard ratio [HR], 1.63), Eastern Cooperative Oncology Group performance status 2-4 (HR, 1.86), poor cytogenetics (-7 and/or complex; HR, 2.47), World Health Organization MDS subtype (RARs or RAEB-1/2; HR, 1.92), hemoglobin (< 11 g/dL; HR, 2.24), platelets (< 50 × 109/dL; HR, 2.01), and transfusion dependency (HR, 1.59). These risk factors were used to create a prognostic model that segregated patients into 3 groups with distinct median overall survival: good (0-2 risk factors; 34 months), intermediate (3-4 risk factors; 12 months), and poor (5-7 risk factors; 5 months) (P < .001) and 1-year leukemia-free survival (96%, 84%, and 72%, respectively, P = .003). This model also identified distinct survival groups according to t-MDS therapy.

Conclusion: In summary, we devised a prognostic model specifically for patients with t-MDS that predicted overall survival and leukemia-free survival. This model might facilitate the development of risk-adapted therapeutic strategies.

We propose a prognostic model specific to patients with therapy-related myelodysplastic syndrome (t-MDS). This model identifies three distinct survival groups among patients with t-MDS. The model is applicable in routine clinical practice and might facilitate the development of risk-adapted therapeutic strategies. Introduction/Background: We evaluated the characteristics of a cohort of patients with myelodysplastic syndrome (MDS) related to therapy (t-MDS) to create a prognostic model.

Patients and Methods: We identified 281 patients with MDS who had received previous chemotherapy and/or radiotherapy for previous malignancy. Potential prognostic factors were determined using univariate and multivariate analyses.

Original languageEnglish (US)
Pages (from-to)401-410
Number of pages10
JournalClinical Lymphoma, Myeloma and Leukemia
Volume14
Issue number5
DOIs
StatePublished - Oct 1 2014
Externally publishedYes

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Keywords

  • Prognostic model
  • Secondary
  • Survival
  • Therapy-related MDS
  • Transformation

ASJC Scopus subject areas

  • Hematology
  • Oncology
  • Cancer Research

Cite this

Quintás-Cardama, A., Daver, N., Kim, H., Dinardo, C., Jabbour, E., Kadia, T., Borthakur, G., Pierce, S., Shan, J., Cardenas-Turanzas, M., Cortes, J., Ravandi, F., Wierda, W., Estrov, Z., Faderl, S., Wei, Y., Kantarjian, H., & Garcia-Manero, G. (2014). A prognostic model of therapy-related myelodysplastic syndrome for predicting survival and transformation to acute myeloid leukemia. Clinical Lymphoma, Myeloma and Leukemia, 14(5), 401-410. https://doi.org/10.1016/j.clml.2014.03.001