Affiliations 

  • 1 Department of Biological Sciences, School of Medical and Life Sciences, Sunway University, Petaling Jaya, Selangor, Malaysia
  • 2 Clinical Research Centre, Sunway Medical Centre, Petaling Jaya, Selangor Darul Ehsan, Malaysia
  • 3 Molecular Diagnostics Laboratory, Sunway Medical Centre, Petaling Jaya, Selangor Darul Ehsan, Malaysia
  • 4 Haematology Unit, Department of Medicine, Sunway Medical Centre, Petaling Jaya, Selangor Darul Ehsan, Malaysia
  • 5 Haematology Department, Ampang Hospital, Kuala Lumpur, Malaysia
  • 6 Haematology Unit, Department of Medicine, Universiti Kebangsaan Malaysia Medical Centre, Kuala Lumpur, Malaysia
  • 7 School of Data Sciences, Perdana University, Serdang, Selangor, Malaysia
  • 8 Centre for Haematology, Hammersmith Hospital, London, UK
  • 9 Department of Biological Sciences, School of Medical and Life Sciences, Sunway University, Petaling Jaya, Selangor, Malaysia. wongchiehlee@hotmail.com
BMC Med Genomics, 2022 01 15;15(1):10.
PMID: 35033063 DOI: 10.1186/s12920-021-01145-0

Abstract

BACKGROUND: The Philadelphia (Ph)-negative myeloproliferative neoplasms (MPNs), namely essential thrombocythaemia (ET), polycythaemia vera (PV) and primary myelofibrosis (PMF), are a group of chronic clonal haematopoietic disorders that have the propensity to advance into bone marrow failure or acute myeloid leukaemia; often resulting in fatality. Although driver mutations have been identified in these MPNs, subtype-specific markers of the disease have yet to be discovered. Next-generation sequencing (NGS) technology can potentially improve the clinical management of MPNs by allowing for the simultaneous screening of many disease-associated genes.

METHODS: The performance of a custom, in-house designed 22-gene NGS panel was technically validated using reference standards across two independent replicate runs. The panel was subsequently used to screen a total of 10 clinical MPN samples (ET n = 3, PV n = 3, PMF n = 4). The resulting NGS data was then analysed via a bioinformatics pipeline.

RESULTS: The custom NGS panel had a detection limit of 1% variant allele frequency (VAF). A total of 20 unique variants with VAFs above 5% (4 of which were putatively novel variants with potential biological significance) and one pathogenic variant with a VAF of between 1 and 5% were identified across all of the clinical MPN samples. All single nucleotide variants with VAFs ≥ 15% were confirmed via Sanger sequencing.

CONCLUSIONS: The high fidelity of the NGS analysis and the identification of known and novel variants in this study cohort support its potential clinical utility in the management of MPNs. However, further optimisation is needed to avoid false negatives in regions with low sequencing coverage, especially for the detection of driver mutations in MPL.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.