PubMed HealthSearch

PubMed · 42691457

Clinical Relevance of Genomics Defined WHO5 Subtypes of Pediatric B-ALL in the Context of Measurable Residual Disease-Directed Risk-Based Therapy.

Abstract

PURPOSE: WHO5 (2022) classification of B-lymphoblastic leukemia (B-ALL) incorporates several novel entities requiring high-throughput sequencing for their accurate characterization. The clinical relevance of this classification in the context of contemporary measurable residual disease (MRD)-directed therapy is unclear. METHODS: We analyzed 533 pediatric B-ALL uniformly treated with Indian Collaborative Childhood Leukaemia group (ICiCLe)-ALL-14 protocol as defined by WHO-2016 and reclassified them as per WHO5 using targeted sequencing, FISH, and cytogenetics. RESULTS: Subtype-defining genomic abnormalities were identified in 81.2% of the cohort as per the WHO5 classification. Among the new subtypes, PAX5alt and MEF2D-r were associated with a trend toward an inferior 3-year event-free survival (EFS) of 32.8% (P = .003) and 33.7% (P = .091), respectively. We developed a three-tier genomic risk stratification model incorporating 15 genomic subtypes and the IKZF1 deletion. Children with standard (SGR), intermediate (IGR), and high genomic risk (HGR) demonstrated 3-year EFS of 80.4%, 59.3%, and 45.8% (P < .0001), and 3-year overall survival of 89.6%, 75.3%, and 62.3% (P < .0001), respectively. Genomic risk further identified heterogeneous outcomes among ICiCLe risk groups (P < .0001). SGR was associated with superior EFS irrespective of MRD status (3-year EFS 80.5% in postinduction [PI] MRD-negative v 80.8% PI-MRD-positive patients, P = .530). On multivariable analysis, genomic risk (hazard ratio [HR], 1.7 [95% CI, 1.41 to 2.01]; P < .0001), initial ICiCLe risk (HR, 1.3 [95% CI, 1.06 to 1.49]; P = .009), and PI-MRD (HR, 2.2 [95% CI, 1.66 to 2.90]; P < .0001) independently predicted EFS. CONCLUSION: The study demonstrates the potential role of genomic risk stratification, in conjunction with MRD, in stratifying patients into clinically relevant risk categories.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Sweta Rajpal, Gaurav Chatterjee, Prasanna Bhanshe, Vishram Terse, Swapnali Joshi, Shruti Chaudhary, Dhanalaxmi Shetty, Purvi Mohanty, Chetan Dhamne, Prashant Ramesh Tembhare, Shyam Srinivasan, Akanksha Chichra, Nirmalya Roy Moulik, Shripad Banavali, Sumeet Gujral, Gaurav Narula, Papagudi G Subramanian, Nikhil Patkar. 2026-09-03. Clinical Relevance of Genomics Defined WHO5 Subtypes of Pediatric B-ALL in the Context of Measurable Residual Disease-Directed Risk-Based Therapy.. https://doi.org/10.1200/go-25-00665

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Global Genomic Surveillance.

Global genomic surveillance has emerged as a foundational pillar of public health in the twenty-first century, enabling real-time tracking of pathogen evolution and informing outbreak response. This chapter examines the strategic architecture of global genomic surveillance, focusing on its application to arboviruses such as chikungunya virus (CHIKV). It explores the integration of genomic data with epidemiological, clinical, and environmental information within a One Health framework, while addressing critical challenges in governance, equity, and interoperability. The discussion covers the entire genomic surveillance workflow, from sample collection and sequencing to bioinformatic analysis and phylogenetic inference, and highlights the transformative role of artificial intelligence (AI) in predictive surveillance. By analyzing global initiatives, operational barriers, and emerging technologies, this chapter underscores the necessity of sustainable, equitable, and interoperable genomic systems to proactively address current and future infectious disease threats.

Humans

Systematic Dissection of Key Driver Perturbation Signatures in Single Cells via ECCITE-seq.

CRISPR screens, such as expanded CRISPR-compatible cellular indexing of transcriptomes and epitopes by sequencing (ECCITE-seq), enable the simultaneous measurement of transcriptomes, gRNA identity, and cell-surface protein expression at single-cell resolution to systematically interrogate gene function. This platform provides a powerful and scalable experimental approach for validating disease-associated regulators identified by large-scale association studies and other computational methods, including network-based analyses of multi-omics data. Here, as an example application, we describe an ECCITE-seq framework to characterize the transcriptomic consequences of perturbing multiple neuronal key driver genes associated with Alzheimer's disease (AD) in human-induced pluripotent stem cell (hiPSC)-derived neurons. More broadly, by integrating customized pooled gRNA libraries with different CRISPR effectors across multiple cell types, this approach allows for the assessment of the regulatory impact of candidate genes implicated in development and disease processes.

Humans

Identification of Genome-Wide Chromatin Structural Aberration in Cancer by Hi-C Analysis.

Aberrant three-dimensional genome organization is a hallmark of cancer, often driving oncogene activation through mechanisms such as enhancer hijacking. High-throughput chromosome conformation capture (Hi-C) maps these interactions on a genome-wide scale. Unlike earlier dilution-based methods, in situ Hi-C performs proximity ligation within intact nuclei, minimizing random ligation noise and enabling fine-scale structure detection. This chapter describes an optimized in situ Hi-C protocol tailored for cancer cell lines using MboI digestion and biotin-mediated pull-down to generate high-complexity libraries. We further outline a computational workflow that extends beyond standard topological mapping of compartments and topologically associating domains to identify cancer-specific aberrations. Specifically, we focus on detecting chromosomal rearrangements (structural variants) and characterizing the distinct circular topology of extrachromosomal DNA. This integrated experimental and analytical framework provides the necessary tools to dissect the spatial dysregulation underlying tumor evolution.

Humans