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SKY92 Identifies High-Risk Newly Diagnosed Multiple Myeloma With Inferior Progression-Free Survival and Implicates NUF2 as a Candidate Driver

  • Roisin M. McAvera
  • , Izabela Cymer
  • , John Quinn
  • , Phillip T. Murphy
  • , Patrick Thornton
  • , Niamh McAuley
  • , Harmony Black
  • , Omar Abdelzaher
  • , Catherine Duane
  • , Tatiana Cichocka
  • , Eva Szegezdi
  • , Meegahage Perera
  • , Gerard M. Crotty
  • , Michelle Connolly
  • , Aileen Walsh
  • , Ruth Clifford
  • , Janusz Krawczyk
  • , Teresa Meenaghan
  • , Vitaliy Mykytiv
  • , Ezzat Elhassadi
  • Mark Coyne, Robert J. Cummins, Rowan Kuiper, Michael O'Dwyer, Siobhan V. Glavey
  • Royal College of Surgeons in Ireland
  • Beaumont RCSI Cancer Centre
  • University of Galway
  • Mid-Western Regional Hospital Limerick
  • University Hospitals Limerick
  • University College Cork
  • University College Dublin
  • SkylineDx B.V.

Research output: Contribution to journalArticlepeer-review

Abstract

Objectives: To determine the prevalence and prognostic significance of the SKY92 gene-expression signature, evaluate minimal/measurable residual disease (MRD), and identify molecular drivers of high-risk disease in transplant-eligible newly diagnosed multiple myeloma (TE-NDMM) patients in the Republic of Ireland. Methods: Baseline genomic risk was assessed using the MMprofiler microarray in 114 TE-NDMM patients. MRD was evaluated 100 days after autologous stem cell transplantation using next-generation sequencing at the International Myeloma Working Group-recommended sensitivity of 10−5. Differential gene expression and copy number analyses were performed and compared with digital MLPA and retrospective fluorescence in situ hybridisation (FISH). Results: SKY92 classified 25.4% (29/114) of patients as high-risk and was associated with inferior progression-free survival and other adverse disease features. MRD assessment achieved 10−5 sensitivity, although MRD negativity was not associated with SKY92 risk status. High-risk disease demonstrated enrichment of pathways involved in chromosomal stability and DNA repair. NUF2 emerged as a key independent prognostic marker, showing strong association with high-risk biology and identifying a potential molecular driver of aggressive disease. Copy number abnormality detection showed high concordance between MMprofiler, digital MLPA, and retrospective FISH. Conclusions: This first characterisation of SKY92-defined high-risk multiple myeloma in Ireland supports integrated genomic profiling for clinical risk stratification and identifies NUF2 as a promising candidate driver, demonstrating that deep profiling of high-risk disease may help to discover new targets for this challenging entity.

Original languageEnglish
JournalEuropean Journal of Haematology
DOIs
Publication statusAccepted/In press - 2026
Externally publishedYes

Keywords

  • gene expression profiling
  • high-risk
  • MRD
  • NUF2
  • SKY92

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