AI Article Synopsis

  • Acute lymphoblastic leukemia (ALL) is the most common cancer in children, characterized by fusion genes that are crucial for risk assessment and targeted treatment.
  • Current detection methods, like fluorescence in situ hybridization and polymerase chain reaction, have limitations in sensitivity, missing new fusion genes.
  • A new simplified procedure using RNA CaptureSeq and a specialized bioinformatics pipeline successfully identified both known and new fusion genes in pediatric samples previously deemed negative, enhancing diagnostic accuracy and potential treatment outcomes.

Article Abstract

Acute lymphoblastic leukemia (ALL) is the most frequent pediatric cancer. Fusion genes are hallmarks of ALL, and they are used as biomarkers for risk stratification as well as targets for precision medicine. Hence, clinical diagnostics pursues broad and comprehensive strategies for accurate discovery of fusion genes. Currently, the gold standard methodologies for fusion gene detection are fluorescence in situ hybridization and polymerase chain reaction; these, however, lack sensitivity for the identification of new fusion genes and breakpoints. In this study, we implemented a simple operating procedure (OP) for detecting fusion genes. The OP employs RNA CaptureSeq, a versatile and effortless next-generation sequencing assay, and an in-house as well as a purpose-built bioinformatics pipeline for the subsequent data analysis. The OP was evaluated on a cohort of 89 B-cell precursor ALL (BCP-ALL) pediatric samples annotated as negative for fusion genes by the standard techniques. The OP confirmed 51 samples as negative for fusion genes, and, more importantly, it identified known ( rearrangements) as well as new fusion events ( rearrangements) in the remaining 38 investigated samples, of which 16 fusion genes had prognostic significance. Herein, we describe the OP and its deployment into routine ALL diagnostics, which will allow substantial improvements in both patient risk stratification and precision medicine.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6746019PMC
http://dx.doi.org/10.1097/HS9.0000000000000250DOI Listing

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