Klin Padiatr 2020; 232(03): e8
DOI: 10.1055/s-0040-1709801
Abstracts

Therapy assessment of pediatric chronic myeloid leukemia (CML) using combined analyses of RNA/DNA response dynamics

C Volz
1   University Hospital Erlangen, Department of Pediatrics, Erlangen
,
A Gottschalk
2   Institute for Medical Informatics and Biometry, Faculty of Medicine, TU Dresden, Dresden
,
M Krumbholz
1   University Hospital Erlangen, Department of Pediatrics, Erlangen
,
C Albert
1   University Hospital Erlangen, Department of Pediatrics, Erlangen
,
S Semper
1   University Hospital Erlangen, Department of Pediatrics, Erlangen
,
M Suttorp
3   Pediatric Hematology and Oncology, Department of Pediatrics, TU Dresden, Dresden, Germany
,
I Glauche
2   Institute for Medical Informatics and Biometry, Faculty of Medicine, TU Dresden, Dresden
,
M Metzler
1   University Hospital Erlangen, Department of Pediatrics, Erlangen
› Author Affiliations
 

Background Optimal treatment of pediatric CML requires a patient specific risk stratification and the comparability of individual therapy responses. A deeper understanding of the CML cells eradication dynamic is needed to make earlier therapy decisions. Methods: Besides transcript-based monitoring, DNA-based quantification was performed using the droplet digital PCR (ddPCR). A total of 1348 specimens from 65 pediatric CML patients were included. Therapy response models were designed separately for RNA-/DNA-monitoring. Data was evaluated using moving quantiles analyses. Results: Combined analyses show a stronger reduction of BCR-ABL1 transcripts compared to BCR-ABL1 copy numbers in the first three months of therapy. These data suggest that the initial reduction of CML cells is lower than the transcript-monitoring indicates. By applying moving quantiles analyses, patient specific therapy responses can be assigned to risk groups. Conclusion: RNA/DNA response models and moving quantiles analyses represent advanced diagnostic techniques to detect poor responders earlier. Prospectively, combined RNA-/DNA quantification may be used to assess the practicability of therapy stop trials.



Publication History

Article published online:
13 May 2020

© Georg Thieme Verlag KG
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