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Published on: April 27, 2018
Prognostic gene alterations and clonal changes in childhood B-ALL.
Yucel Erbilgin1, Sinem Firtina2, Sevcan Mercan3
1Aziz Sancar Institute of Experimental Medicine, Istanbul University, Istanbul, Turkey.
Genomic profiling of pediatric B-cell acute lymphoblastic leukemia (B-ALL) reveals key gene alterations. CDKN2A/2B and JAK2 variations impact survival, while CRLF2 alterations predict better outcomes.
Area of Science:
- Genomics and Molecular Biology
- Pediatric Oncology
- Hematology
Background:
- Genomic profiling is crucial for classifying leukemia risk, predicting outcomes, and guiding therapy.
- Understanding genetic variations in pediatric B-cell acute lymphoblastic leukemia (B-ALL) is essential for improving patient management.
Purpose of the Study:
- To analyze common leukemia-associated gene variations (CRLF2, JAK2, PAX5, IL7R) and copy number alterations (CNAs) in pediatric B-ALL.
- To evaluate clonal changes from diagnosis to relapse.
- To determine the prognostic value of specific genetic alterations in B-ALL.
Main Methods:
- Deep sequencing was used to detect single nucleotide variations (SNVs) in diagnostic (n=77) and relapsed (n=31) pediatric B-ALL samples.
- Multiplex ligation proximity assay (MLPA) was employed to identify CNAs in genes including CDKN2A/2B, PAX5, and CRLF2.
- Clonal dynamics and their association with clinical outcomes were assessed.
Main Results:
- SNVs were detected in 19% of diagnostic and 15.3% of relapse samples.
- CNAs were present in 55% of diagnostic samples, with CDKN2A/2B, PAX5, and CRLF2 being most frequently affected.
- Relapse samples showed clonal dynamics rather than a significant increase in SNVs or CNAs; CDKN2A/2B alterations and/or JAK2 variations were linked to decreased relapse-free survival, while CRLF2 CNAs predicted better survival.
Conclusions:
- Specific alterations in CDKN2A/2B and CRLF2 have significant prognostic value in pediatric B-ALL.
- Clonal evolution plays a role in relapse, with specific gene variations accumulating or disappearing.
- Integrating genomic data into clinical practice can improve patient stratification and understanding of B-ALL relapse.
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