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Next Generation Sequencing for the Detection of Actionable Mutations in Solid and Liquid Tumors
Published on: September 20, 2016
Next-Generation Sequencing-Based Genomic Profiling of Children with Acute Myeloid Leukemia
Szilvia Krizsán1, Borbála Péterffy2, Bálint Egyed1
1HCEMM-SE Molecular Oncohematology Research Group, Department of Pathology and Experimental Cancer Research, Semmelweis University, Budapest, Hungary; Department of Pediatrics, Semmelweis University, Budapest, Hungary.
Insights
This study reveals distinct genetic mutations in pediatric acute myeloid leukemia (AML), identifying novel mutations and highlighting the role of tumor suppressor genes in treatment resistance and disease progression.
Area of Science:
- Oncology
- Genetics
- Pediatrics
Background:
- Pediatric acute myeloid leukemia (AML) is a significant cause of childhood cancer mortality.
- Limited research exists on the molecular characteristics of pediatric AML.
- Understanding the genetic landscape is crucial for improving treatment outcomes.
Purpose of the Study:
- To perform an integrative analysis of cytogenetic and molecular profiles in a cohort of pediatric AML patients.
- To identify recurrently mutated genes and compare findings with previous studies.
- To investigate the association of specific mutations with treatment response and disease progression.
Main Methods:
- Targeted next-generation sequencing of 54 genes in 75 pediatric AML patients.
- Analysis of a multicentric, real-world patient cohort treated per Berlin-Frankfurt-Münster protocols.
- Comparison of mutational profiles at diagnosis and relapse.
Main Results:
- Seventeen genes were recurrently mutated in over 5% of patients.
- Identified higher frequencies of BCORL1, CUX1, KDM6A, PHF6, and STAG2 mutations than previously reported.
- Discovered novel BCORL1 mutations in 9% of patients and found tumor suppressor gene mutations (PHF6, TP53, WT1) associated with induction failure and shorter event-free survival.
- Observed an enrichment of mutations in tumor suppressor genes and transcription factors at relapse compared to diagnosis.
Conclusions:
- The molecular landscape of pediatric AML shows considerable heterogeneity and differs from previous findings.
- Specific mutations, particularly in tumor suppressor genes, are linked to poor treatment outcomes and disease progression.
- Relapse in pediatric AML is characterized by an increased burden of mutations in tumor suppressor genes and transcription factors.
- These findings contribute to a better molecular understanding and risk stratification for pediatric AML.
Abstract:
Pediatric acute myeloid leukemia (AML) represents a major cause of childhood leukemic mortality, with only a limited number of studies investigating the molecular landscape of the disease. Here, we present an integrative analysis of cytogenetic and molecular profiles of 75 patients with pediatric AML from a multicentric, real-world patient cohort treated according to AML Berlin-Frankfurt-Münster protocols. Targeted next-generation sequencing of 54 genes revealed 17 genes that were recurrently mutated in >5% of patients. Considerable differences were observed in the mutational profiles compared with previous studies, as BCORL1, CUX1, KDM6A, PHF6, and STAG2 mutations were detected at a higher frequency than previously reported, whereas KIT, NRAS, and KRAS were less frequently mutated. Our study identified novel recurrent mutations at diagnosis in the BCORL1 gene in 9% of the patients. Tumor suppressor gene (PHF6, TP53, and WT1) mutations were found to be associated with induction failure and shorter event-free survival, suggesting important roles of these alterations in resistance to therapy and disease progression. Comparison of the mutational landscape at diagnosis and relapse revealed an enrichment of mutations in tumor suppressor genes (16.2% versus 44.4%) and transcription factors (35.1% versus 55.6%) at relapse. Our findings shed further light on the heterogeneity of pediatric AML and identify previously unappreciated alterations that may lead to improved molecular characterization and risk stratification of pediatric AML.
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