Mutational and genomic landscape of acute myeloid leukemia: Insights from a South Asian targeted next-generation sequencing cohort

Objectives: Acute myeloid leukemia (AML) is a genetically heterogeneous malignancy, yet comprehensive genomic data from South Asian populations remain limited. Population-specific mutation profiling is critical for accurate risk stratification and optimal use of targeted therapies. This study characterizes the genomic landscape of AML in a South Asian cohort using next-generation sequencing (NGS). Material and Methods: We analyzed 167 AML patients with pathogenic variants using the Myeloid HAEM DNA-RNA NGS panel (Oncomine Myeloid Research Assay) (Thermo Fisher Scientific, Waltham, Massachusetts), covering 40 DNA-based genes and 29 fusion transcripts. Variants were interpreted according to American Society of Hematology (ASH)/Association for Molecular Pathology/European Hematology Association (EHA) recommendations and classified using the OncoKB Tier system, which stratifies alterations based on their therapeutic, diagnostic, and prognostic relevance into Tier I (strong clinical significance), Tier II (potential clinical significance), and Tier III (unknown clinical significance). Mutation frequencies, co-mutation patterns, and age distributions of genetic aberrations were also analyzed. Results: Tier I alterations constituted 31.35% of pathogenic findings and were enriched for established driver mutations, including FLT3, NPM1, IDH1, IDH2, and recurrent fusion genes such as PML-RARA and RUNX1-RUNX1T1, reflecting their direct therapeutic and prognostic relevance. Tier II variants accounted for 67.33% of cases and involved genes with emerging or context-dependent clinical significance, including ASXL1, BCOR, BRAF, CEBPA, DNMT3A, EZH2, KRAS, NRAS, and RUNX1, frequently observed in co-mutation patterns. Tier III variants, such as STAG2 and RB1, represented 1.32% of pathogenic findings for which definite clinical relevance remains uncertain. Conclusion: This study delineates a distinct genomic landscape of South Asian AML, characterized by a high burden of Tier I driver mutations, and a substantial proportion of Food and Drug Administration-approved actionable alterations of 23.4% was noted. The unique co-mutational patterns highlighted the complexity and heterogeneity of the mutational spectrum in leukemia. The findings highlight the clinical utility of comprehensive NGS-based profiling combined with Tier-based variant stratification to enhance risk assessment, refine prognostication, and enable precision-guided therapeutic decision-making in underrepresented populations.

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Journal
Journal of Hematology and Allied Sciences
Published
2026-09-24
DOI
https://doi.org/10.25259/jhas_27_2026
Primary Topic
Acute Myeloid Leukemia Research
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article
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article

Mutational and genomic landscape of acute myeloid leukemia: Insights from a South Asian targeted next-generation sequencing cohort

Kunal Goyal, Nishant Jindal, Amrit Kaur Kaler, Manali Ajagekar et al.
Journal of Hematology and Allied Sciences
Acute Myeloid Leukemia Research
article

Mutational and genomic landscape of acute myeloid leukemia: Insights from a South Asian targeted next-generation sequencing cohort

Kunal Goyal, Nishant Jindal, Amrit Kaur Kaler, Manali Ajagekar, Vatsal Kothari, Sameer Tulpule, Santanu Sen, Isha Rajwade
article en

Abstract

Objectives: Acute myeloid leukemia (AML) is a genetically heterogeneous malignancy, yet comprehensive genomic data from South Asian populations remain limited. Population-specific mutation profiling is critical for accurate risk stratification and optimal use of targeted therapies. This study characterizes the genomic landscape of AML in a South Asian cohort using next-generation sequencing (NGS). Material and Methods: We analyzed 167 AML patients with pathogenic variants using the Myeloid HAEM DNA-RNA NGS panel (Oncomine Myeloid Research Assay) (Thermo Fisher Scientific, Waltham, Massachusetts), covering 40 DNA-based genes and 29 fusion transcripts. Variants were interpreted according to American Society of Hematology (ASH)/Association for Molecular Pathology/European Hematology Association (EHA) recommendations and classified using the OncoKB Tier system, which stratifies alterations based on their therapeutic, diagnostic, and prognostic relevance into Tier I (strong clinical significance), Tier II (potential clinical significance), and Tier III (unknown clinical significance). Mutation frequencies, co-mutation patterns, and age distributions of genetic aberrations were also analyzed. Results: Tier I alterations constituted 31.35% of pathogenic findings and were enriched for established driver mutations, including FLT3, NPM1, IDH1, IDH2, and recurrent fusion genes such as PML-RARA and RUNX1-RUNX1T1, reflecting their direct therapeutic and prognostic relevance. Tier II variants accounted for 67.33% of cases and involved genes with emerging or context-dependent clinical significance, including ASXL1, BCOR, BRAF, CEBPA, DNMT3A, EZH2, KRAS, NRAS, and RUNX1, frequently observed in co-mutation patterns. Tier III variants, such as STAG2 and RB1, represented 1.32% of pathogenic findings for which definite clinical relevance remains uncertain. Conclusion: This study delineates a distinct genomic landscape of South Asian AML, characterized by a high burden of Tier I driver mutations, and a substantial proportion of Food and Drug Administration-approved actionable alterations of 23.4% was noted. The unique co-mutational patterns highlighted the complexity and heterogeneity of the mutational spectrum in leukemia. The findings highlight the clinical utility of comprehensive NGS-based profiling combined with Tier-based variant stratification to enhance risk assessment, refine prognostication, and enable precision-guided therapeutic decision-making in underrepresented populations.

Journal of Hematology and Allied SciencesVol. 0
Dr. Balabhai Nanavati Hospital (IN), Max Super Speciality Hospital (IN), Kokilaben Dhirubhai Ambani Hospital (IN), Bharat Serums and Vaccines (India) (IN)
Good health and well-being
Openalex Percentile: Top 11%
Acute Myeloid Leukemia Research
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