Prognostic Validation of SKY92 and Its Combination With ISS in an Independent Cohort of Patients With Multiple Myeloma

Erik H. van Beers, Martin H. van Vliet, Rowan Kuiper, Leonie de Best, Kenneth C. Anderson, Ajai Chari, Sundar Jagannath, Andrzej Jakubowiak, Shaji K Kumar, Joan B. Levy, Daniel Auclair, Sagar Lonial, Donna Reece, Paul Richardson, David S. Siegel, Alexander Keith Stewart, Suzanne Trudel, Ravi Vij, Todd M. Zimmerman, Rafael Fonseca

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Background: High risk and low risk multiple myeloma patients follow a very different clinical course as reflected in their PFS and OS. To be clinically useful, methodologies used to identify high and low risk disease must be validated in representative independent clinical data and available so that patients can be managed appropriately. A recent analysis has indicated that SKY92 combined with the International Staging System (ISS) identifies patients with different risk disease with high sensitivity. Patients and Methods: Here we computed the performance of eight gene expression based classifiers SKY92, UAMS70, UAMS80, IFM15, Proliferation Index, Centrosome Index, Cancer Testis Antigen and HM19 as well as the combination of SKY92/ISS in an independent cohort of 91 newly diagnosed MM patients. Results: The classifiers identified between 9%-21% of patients as high risk, with hazard ratios (HRs) between 1.9 and 8.2. Conclusion: Among the eight signatures, SKY92 identified the largest proportion of patients (21%) also with the highest HR (8.2). Our analysis also validated the combination SKY92/ISS for identification of three classes; low risk (42%), intermediate risk (37%) and high risk (21%). Between low risk and high risk classes the HR is >10.

Original languageEnglish (US)
JournalClinical Lymphoma, Myeloma and Leukemia
DOIs
StateAccepted/In press - 2017

Keywords

  • Biomarker
  • Gene expression
  • In vitro diagnostic clinical assay
  • Signature

ASJC Scopus subject areas

  • Hematology
  • Oncology
  • Cancer Research

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