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Benchmarking miRNA reference genes in B-cell precursor acute lymphoblastic leukemia.

Teresa Mack1, Tommaso Gianferri1, Alexandra Niedermayer1,2

  • 1Department of Pediatrics and Adolescent Medicine, Ulm University Medical Center, Ulm, Germany.

Scientific Reports
|November 3, 2024
PubMed
Summary

Accurate microRNA (miRNA) analysis in B-cell precursor acute lymphoblastic leukemia (BCP ALL) requires stable references. This study identified miR-103a-3p and miR-532-5p as the most reliable references for miRNA normalization in BCP ALL research.

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Area of Science:

  • Molecular Biology
  • Oncology
  • Genetics

Background:

  • MicroRNAs (miRNAs) exhibit dual roles in acute lymphoblastic leukemia (ALL), acting as both tumor suppressors and oncogenes.
  • Accurate miRNA expression profiling is essential for patient risk stratification and understanding gene regulation in BCP ALL.
  • Quantitative real-time polymerase chain reaction (qPCR) is a standard method for miRNA analysis, but requires stable reference genes for normalization.

Purpose of the Study:

  • To evaluate the stability of commonly used miRNA reference genes in B-cell precursor ALL (BCP ALL) models.
  • To identify the most stable miRNA references for accurate normalization in BCP ALL studies.
  • To emphasize the importance of stable reference selection for reliable miRNA data interpretation.

Main Methods:

  • Stability of six candidate miRNA references was assessed across BCP ALL cell lines, patient-derived xenograft (PDX) samples, and healthy donor PBMCs.
  • Four algorithms (Normfinder, ∆CT, geNorm, BestKeeper) were employed to determine reference gene stability.
  • Validation of selected references was performed on an independent set of PDX ALL samples and healthy controls.

Main Results:

  • miR-103a-3p and miR-532-5p were identified as the most stable miRNA references across all tested BCP ALL samples.
  • The stability of reference genes varied significantly depending on the sample type and experimental conditions.
  • Inconsistent normalization using unstable references can lead to misinterpretation of miRNA expression data.

Conclusions:

  • miR-103a-3p and miR-532-5p are recommended as reliable endogenous controls for miRNA expression studies in BCP ALL.
  • Proper selection of stable reference genes is critical for the accurate quantification and interpretation of miRNA data in BCP ALL research.
  • This finding supports the use of miRNA expression profiles for risk stratification and therapeutic target identification in BCP ALL.