Genomic Characterization of Epigenetic Regulator Gene Alterations in Juvenile Myelomonocytic Leukemia Through Whole-Exome Sequencing
Harsh Goel, Ravi Kumar Majhi, Jagdish Prasad Meena, Anita Chopra, Sameer Bakhshi, Lata Singh, Rachna Seth, Pranay Tanwar, Aditya Kumar GuptaBackground/Objectives: Juvenile myelomonocytic leukemia (JMML) is a rare, highly aggressive form of pediatric myelodysplastic/myeloproliferative neoplasm characterized by molecular heterogeneity and constitutive activation of the RAS signaling pathway. This study aimed to characterize the mutational landscape, driver genes, mutational signatures, functional pathways, and therapeutic potential of mutated epigenetic regulator genes in JMML. Methods: Tumor and matched buccal swab samples were collected from 35 JMML patients, and whole-exome sequencing was performed. Somatic variants were called with GATK-Mutect2 and annotated with ANNOVAR. maftools and OncodriveCLUST were used for mutational profiling, co-occurrence analysis, driver gene identification, and protein domain mapping. Drug–gene interactions were explored using DGIdb, mutational signatures for genes were characterized by MutationalPatterns, and functional enrichment analysis was performed by the clusterProfiler package. Results: A total of 28 variants were detected in epigenetic regulator genes, with missense mutations being the most common class of variants and a C>T nucleotide substitution pattern being the most frequent. EP300, SETD2, and DNMT3B were the genes most frequently altered, with 8.57% of cases each, followed by ASXL1, BCORL1, ATRX, KMT2A, and TET2 (5.71% each). Driver gene analysis identified ASXL1 as the top candidate driver gene, followed by BCORL1, EP300, and SETD2. Functional enrichment analysis revealed a high number of genes involved in chromatin organization, histone modification, transcriptional regulation, and oncogenic signaling pathways. The mutational signatures identified were SBS5-like, which are dominated by C>T and T>C transitions, indicating endogenous mutational processes. Analysis of drug–gene interactions revealed KMT2A, EP300, and ATRX as the most interconnected and potentially actionable therapeutic targets. Conclusions: This study provides a comprehensive characterization of epigenetic regulator gene alterations in JMML and highlights the importance of epigenetic dysregulation in disease pathogenesis.