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Early prediction of therapy response in patients with acute myeloid leukemia by nucleosomal DNA fragments

  • Susanne Mueller
  • , Stefan Holdenrieder
  • , Petra Stieber
  • , Torsten Haferlach
  • , Andreas Schalhorn
  • , Jan Braess
  • , Dorothea Nagel
  • , Dietrich Seidel
  • Ludwig-Maximilians-Universität München

Research output: Contribution to journalArticlepeer-review

32 Scopus citations

Abstract

Background: Elevated levels of nucleosomal DNA fragments can be detected in plasma and sera of patients with malignant diseases. Methods: We investigated the course of nucleosomal DNA, thymidine kinase, lactate dehydrogenase and leukocytes in sera of 25 patients with acute myeloid leukemia during the first cycle of induction chemotherapy and tested their power to distinguish between patients with complete remission and those with no remission. Results: Almost all patients showed strongly decreasing levels of nucleosomal DNA during the first week, in some cases after initial peaks. In overall analysis of variance, DNA levels could clearly distinguish between patients with complete remission, who had higher DNA values, and those with insufficient response (p = 0.017). The area under the curve of DNA values of days 2-4 after start of therapy (AUC 2-4) discriminated between both groups with a sensitivity of 56% at a specificity of 100%. Further, pretherapeutic levels and AUC 2-4 of nucleosomal DNA correlated significantly with blast reduction after 16 days. A tendency to higher levels in patients with complete response was also found for thymidine kinase, lactate dehydrogenase and leukocytes, however the difference did not reach the level of significance (p = 0.542, p = 0.260, and p = 0.144, respectively). Conclusion: Our results indicate that nucleosomal DNA fragments are valuable markers for the early prediction of therapeutic efficacy in patients with acute myeloid leukemia.

Original languageEnglish
Article number143
JournalBMC Cancer
Volume6
DOIs
StatePublished - 30 May 2006
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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