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Updated: Sep 14, 2025

VDJ-Seq: Deep Sequencing Analysis of Rearranged Immunoglobulin Heavy Chain Gene to Reveal Clonal Evolution Patterns of B Cell Lymphoma
Published on: December 28, 2015
Genetics of B-Cell Acute Lymphoblastic Leukemia (B-ALL): Recent Updates and Indian Perspective
Sanjeev Kumar Gupta1, Gadha K Leons1
1Laboratory Oncology Unit, Dr BRA IRCH, All India Institute of Medical Sciences (AIIMS), Ansari Nagar, New Delhi, 110029 India.
Abstract:
B-cell acute lymphoblastic leukemia (B-ALL) is the most common hematological malignancy of childhood. The initial risk-stratification includes the genetic evaluation for common recurrent translocations and aneuploidies in B-ALL using karyotyping, fluorescence in-situ hybridization (FISH), reverse transcription polymerase chain reaction (RT-PCR), etc. However, many cases remain genetically unclassified and are labeled as B-other ALL. Recent advances in the high throughput genomics have provided new insights and many distinct genetic subtypes have been identified in B-ALL. These new subtypes have been incorporated in the latest World Health Organization (WHO)-HAEM5 classification of haematolymphoid tumors and the International Consensus Classification. Besides the driver mutations, there is also a role of secondary genetic events like copy number alterations (CNAs) in the pathogenesis of B-ALL as well as for better risk-stratification. New molecular genetic risk evaluation like Moorman's criteria, IKZF1plus and MRplus scores have been recently validated which can risk-stratify B-ALL patients at baseline based on the CNA profile. The new diagnostic armamentarium now also includes flow-based ploidy analysis, cytokine receptor like factor 2 (CRLF2/TSLPR) overexpression screening on flow cytometry, multiplex ligation dependent probe amplification (MLPA) for CNAs, targeted RNA sequencing and whole transcriptome sequencing for detection of known and novel fusions. The gene expression profiling data can also be assessed with the machine learning based genetic classifiers for prediction of the newly identified subtypes of B-ALL. This review attempts to provide updates about the latest developments in the field of B-ALL genetics with inputs of Indian data, wherever available.
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