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Related Concept Videos

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Identification of Key Factors Regulating Self-renewal and Differentiation in EML Hematopoietic Precursor Cells by RNA-sequencing Analysis
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Comparative Analysis of Targeted RNA-Seq and Optical Genome Mapping for Detecting Gene Rearrangements in Acute

Chi Young Ok1, Guilin Tang1, Sanam Loghavi1

  • 1Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.

Cancers
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PubMed
Summary
This summary is machine-generated.

Targeted RNA sequencing and Optical Genome Mapping (OGM) are complementary tools for acute leukemia diagnosis. While RNA-Seq excels at detecting fusion transcripts, OGM is superior for identifying enhancer-hijacking events, with both methods offering unique insights into gene rearrangements.

Keywords:
acute leukemiaoptical genome mappingtargeted RNA sequencing

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Area of Science:

  • Hematology and Oncology
  • Genomics and Molecular Diagnostics
  • Cancer Genetics

Background:

  • Gene rearrangements in oncogenes are critical drivers of acute leukemia, impacting classification, prognosis, and treatment.
  • Targeted RNA sequencing (RNA-Seq) panels are increasingly utilized for detecting gene fusions in diagnostics.
  • Comparative evaluations of RNA-Seq with orthogonal technologies like Optical Genome Mapping (OGM) are limited.

Purpose of the Study:

  • To compare the diagnostic performance of a 108-gene anchored multiplex PCR (AMP)-based RNA-Seq panel against Optical Genome Mapping (OGM).
  • To evaluate the concordance and unique detection capabilities of both RNA-Seq and OGM in a large cohort of acute leukemia cases.

Main Methods:

  • A comparative study involving 467 acute leukemia patients (360 AML, 89 B-ALL, 12 T-ALL, 6 MPAL).
  • Performance evaluation of a 108-gene AMP-based RNA-Seq panel versus Optical Genome Mapping (OGM).
  • Analysis of concordance rates, unique findings, and specific aberration types (e.g., enhancer-hijacking, deletions).

Main Results:

  • Overall concordance between RNA-Seq and OGM was 74.7% for 234 detected gene/rearrangement fusions, with significant variation across leukemia types (80.2% in B-ALL vs. 41.7% in T-ALL).
  • OGM uniquely identified 15.8% of rearrangements, while RNA-Seq exclusively identified 9.4%.
  • Enhancer-hijacking events showed markedly lower concordance (20.6%) compared to other aberrations (93.1%). OGM detected these events effectively, while RNA-Seq identified some deletions as simple deletions rather than rearrangements.

Conclusions:

  • Targeted RNA-Seq is effective for detecting chimeric fusion transcripts and slightly better for identifying deletion-driven fusions.
  • Optical Genome Mapping (OGM) is superior for detecting enhancer-hijacking events that do not produce fusion transcripts.
  • Both RNA-Seq and OGM are complementary diagnostic tools for comprehensive workup of acute leukemia cases.