scholarly journals Predicting time to relapse in acute myeloid leukemia through stochastic modeling of minimal residual disease based on clonality data

2021 ◽  
Vol 1 (3) ◽  
Author(s):  
Khanh N. Dinh ◽  
Roman Jaksik ◽  
Seth J. Corey ◽  
Marek Kimmel
Keyword(s):  
Acute Myeloid Leukemia ◽  
Minimal Residual Disease ◽  
Stochastic Modeling ◽  
Myeloid Leukemia ◽  
Residual Disease ◽  
Time To Relapse ◽  
Minimal Residual ◽  
Acute Myeloid

scholarly journals Predicting Minimal Residual Disease in Acute Myeloid Leukemia through Stochastic Modeling of Clonality

2019 ◽  
Author(s):  
Khanh Dinh ◽  
Roman Jaksik ◽  
Seth J. Corey ◽  
Marek Kimmel
Keyword(s):  
Acute Myeloid Leukemia ◽  
Minimal Residual Disease ◽  
Myeloid Leukemia ◽  
Residual Disease ◽  
The Cancer Genome Atlas ◽  
Current Evidence ◽  
Random Events ◽  
Time To Relapse ◽  
Minimal Residual ◽  
Acute Myeloid

AbstractEvent-free and overall survival remains poor for acute myeloid leukemia (AML). Chemo-resistant clones contributing to relapse of the disease arise from minimal residual disease (MRD) rather than resulting from newly acquired mutations during or after chemotherapy. MRD is the presence of measurable leukemic cells using non-morphologic assays. It is considered a strong predictor of relapse. The dynamics of clones comprising MRD is poorly understood and is considered influenced by a form of Darwinian selection. We propose a stochastic model based on a multitype (multi-clone) age-dependent Markov branching process to study how random events in MRD contribute to the heterogeneity in response to treatment in a cohort of six patients from The Cancer Genome Atlas database with whole genome sequencing data at two time points. Our model offers a more accurate understanding of how relapse arises and which properties allow a leukemic clone to thrive in the Darwinian competition among leukemic and normal hematopoietic clones. The model suggests a quantitative relationship between MRD and time to relapse and therefore may aid clinicians in determining when and how to implement treatment changes to postpone or prevent the time to relapse.Author summaryRelapse affects about 50% of AML patients who achieved remission after treatment, and the prognosis of relapsed AML is poor. Current evidence has shown that in many patients, mutations giving rise to relapse are already present at diagnosis and remain in small numbers in remission, defined as the minimal residual disease (MRD). We propose a mathematical model to analyze how MRD develops into relapse, and how random events in MRD may affect the patient’s fate. This work may aid clinicians in predicting the range of outcomes of chemotherapy, given mutational data at diagnosis. This can help in choosing treatment strategies that reduce the risk of relapse.

scholarly journals Minimal residual disease eradication with epigenetic therapy in core binding factor acute myeloid leukemia

2017 ◽  
Vol 92 (9) ◽  
pp. 845-850 ◽  
Author(s):  
Brittany Knick Ragon ◽  
Naval Daver ◽  
Guillermo Garcia-Manero ◽  
Farhad Ravandi ◽  
Jorge Cortes ◽  
...  
Keyword(s):  
Acute Myeloid Leukemia ◽  
Minimal Residual Disease ◽  
Myeloid Leukemia ◽  
Residual Disease ◽  
Epigenetic Therapy ◽  
Core Binding Factor ◽  
Disease Eradication ◽  
Binding Factor ◽  
Minimal Residual ◽  
Acute Myeloid

Monitoring of minimal residual disease in acute myeloid leukemia

2009 ◽  
Vol 21 (6) ◽  
pp. 582-588 ◽  
Author(s):  
Francesco Buccisano ◽  
Luca Maurillo ◽  
Alessandra Spagnoli ◽  
Maria Ilaria Del Principe ◽  
Eleonora Ceresoli ◽  
...  
Keyword(s):  
Acute Myeloid Leukemia ◽  
Minimal Residual Disease ◽  
Myeloid Leukemia ◽  
Residual Disease ◽  
Minimal Residual ◽  
Acute Myeloid

Patient-specific microRNA expression profiles as a marker for minimal residual disease in acute myeloid leukemia

Hematology ◽  
2013 ◽  
Vol 19 (1) ◽  
pp. 18-21 ◽  
Author(s):  
Velizar Shivarov ◽  
Angel Stoimenov ◽  
Branimir Spassov ◽  
Svetlana Angelova ◽  
Monika Niagolov ◽  
...  
Keyword(s):  
Acute Myeloid Leukemia ◽  
Minimal Residual Disease ◽  
Myeloid Leukemia ◽  
Residual Disease ◽  
Expression Profiles ◽  
Microrna Expression ◽  
Patient Specific ◽  
Minimal Residual ◽  
Acute Myeloid
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