Development of a high-resolution melting curve analysis screening test for SRSF2 splicing factor gene mutations in myelodysplastic syndromes

Eduardo Garza, Emiliano Fabiani, Nelida Noguera, Paola Panetta, Maria L. Piredda, Loredana Borgia, Luca Maurillo, Gianfranco Catalano, Maria T. Voso, Francesco Lo-Coco

Research output: Contribution to journalArticle

Abstract

Somatic mutations of the spliceosome machinery have been recently identified by whole genome analysis in hematologic diseases, such as myelodysplastic syndrome, chronic lymphocytic leukemia, myeloproliferative neoplasms, acute myeloid leukemia, and advanced forms of mastocytosis, and also in nonhematologic conditions. SRSF2 is a member of the serine/arginine-rich family pre-mRNA splicing factors that plays a role in mRNA export from the nucleus and translation. We describe a high-resolution melting (HRM) curve analysis to screen for SRSF2 hotspot mutations in a fast, sensitive, and reliable way. Fifty bone marrow samples from patients with myelodysplastic syndrome were analyzed by the HRM assay and by direct sequencing. HRM screening identified four melting patterns corresponding to a negative (wild-type) group and three different mutated groups. Each mutated group was identified according to the positive control used: P95H, P95L, and P95R, respectively. An HRM mutated pattern was identified in seven patients. Positive and negative results from HRM were compared with direct sequencing results with a sensitivity and specificity of 100% (95% CI, 0.56-1, and 95% CI, 0.89-1, respectively). Analytical sensitivity analysis revealed a detection threshold of up to 1:9 (mutated/wild type) dilution. This rapid screening method may provide useful information for clinical decision making and be helpful to optimize laboratory resources and reduce turnaround time.

Original languageEnglish
Pages (from-to)85-89
Number of pages5
JournalJournal of Molecular Diagnostics
Volume17
Issue number1
DOIs
Publication statusPublished - Jan 1 2015

ASJC Scopus subject areas

  • Molecular Medicine
  • Pathology and Forensic Medicine

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