Challenging the concept of functional high-risk myeloma through transcriptional and genetic profiling

S Sina A. Beer D David A. Cairns (3Leeds Cancer Research UK Clinical Trials Unit, Leeds Institute of Clinical Trials Research, Leeds, United Kingdom) C Charlotte Pawlyn A Amy Holroyd (1Division of Genetics and Epidemiology, The Institute of Cancer Research, London, United Kingdom) E Elsa Ferris (1Division of Genetics and Epidemiology, The Institute of Cancer Research, London, United Kingdom) G Gordon Cook M Mark Drayson (5Department of Immunology and Immunotherapy, University of Birmingham, Birmingham, United Kingdom) K Kevin Boyd (1Division of Genetics and Epidemiology, The Institute of Cancer Research, London, United Kingdom) P Paula Proszek (6Clinical Genomics Department, Molecular Diagnostics, The Royal Marsden Hospital, Sutton, United Kingdom) F Faith E. Davies (1Multiple Myeloma Research Program, Perlmutter Cancer Center, NYU Langone Health, New York, NY) R Ruth de Tute M Matthew Jenner G Gareth J. Morgan R Roger Owen (8Haematological Malignancy Diagnostic Service, St James’s University Hospital, Leeds, United Kingdom) M Michael Hubank (6Clinical Genomics Department, Molecular Diagnostics, The Royal Marsden Hospital, Sutton, United Kingdom) R Richard Houlston G Graham Jackson (10Department of Haematology, Newcastle University, Newcastle upon Tyne, United Kingdom) M Martin F. Kaiser (4Division of Genetics and Epidemiology, The Institute of Cancer Research, London, United Kingdom)

Abstract

Abstract Functional high-risk (FHR) multiple myeloma (MM) is defined as an unexpected, early relapse (ER) of disease in the absence of baseline molecular or clinical risk factors (RF), making FHR MM inherently dependent on which RFs were assessed at diagnosis, and what treatment patients received. To establish the true incidence of FHR, we analyzed uniformly treated, transplant-eligible patients from the Myeloma-XI (MyXI) trial that had been profiled for the International Myeloma Society and Working Group (IMS/IMWG) defined high-risk cytogenetic aberrations (HRCA), and the SKY92 gene expression HR signature (GEP-HR). A total of 135 MyXI patients were studied, with a median follow-up of 88 months; 25 (18.5%) experienced ER, defined as relapse <18 months from maintenance randomization post–autologous stem-cell transplantation. Hereof, 15 (60%) were IMS/IMWG-HR at diagnosis, of whom 8 were also GEP-HR. Another 6 patients were GEP-HR only and would have been missed by IMS/IMWG-HR. Among 4 patients with IMS/IMWG– and GEP–standard risk, 2 had isolated HR markers at diagnosis, leaving only 2 patients (8% of ER; 1.5% of all) truly meeting all FHR-criteria. Combined IMS/IMWG-HR and GEP-HR profiling identified 84% of ER, and differentiated long-term outcome across all 135 patients: co-occurring IMS/IMWG and GEP-HR was associated with very short overall survival compared to the absence of both (HR = 13.1; 95% CI, 6.5-26.1, P < .0001), followed by GEP-HR only (HR = 5.1; 95% CI, 2.4-11.1, P < .0001) and IMS/IMWG-HR only (HR = 3.2; 95% CI, 1.6-6.2, P = .0007). Our results support more comprehensive baseline diagnostic profiling to identify those at risk of ER upfront. The trials were registered at the ISRCTN Registry as ISRCTN49407852 and at clinicaltrials.gov as #NCT01554852.

Article Details

Journal Blood
Volume / Issue Vol. 146, Issue 22
Published November 27, 2025
Pages 2670-2680
ISSN 0006-4971
Publisher Elsevier BV

Journal Info

Blood

Elsevier BV

ISSN: 0006-4971 Health Sciences

Authors (18)

S

Sina A. Beer

D

David A. Cairns

3Leeds Cancer Research UK Clinical Trials Unit, Leeds Institute of Clinical Trials Research, Leeds, United Kingdom

C

Charlotte Pawlyn

A

Amy Holroyd

1Division of Genetics and Epidemiology, The Institute of Cancer Research, London, United Kingdom

E

Elsa Ferris

1Division of Genetics and Epidemiology, The Institute of Cancer Research, London, United Kingdom

G

Gordon Cook

M

Mark Drayson

5Department of Immunology and Immunotherapy, University of Birmingham, Birmingham, United Kingdom

K

Kevin Boyd

1Division of Genetics and Epidemiology, The Institute of Cancer Research, London, United Kingdom

P

Paula Proszek

6Clinical Genomics Department, Molecular Diagnostics, The Royal Marsden Hospital, Sutton, United Kingdom

F

Faith E. Davies

1Multiple Myeloma Research Program, Perlmutter Cancer Center, NYU Langone Health, New York, NY

R

Ruth de Tute

M

Matthew Jenner

G

Gareth J. Morgan

R

Roger Owen

8Haematological Malignancy Diagnostic Service, St James’s University Hospital, Leeds, United Kingdom

M

Michael Hubank

6Clinical Genomics Department, Molecular Diagnostics, The Royal Marsden Hospital, Sutton, United Kingdom

R

Richard Houlston

G

Graham Jackson

10Department of Haematology, Newcastle University, Newcastle upon Tyne, United Kingdom

M

Martin F. Kaiser

4Division of Genetics and Epidemiology, The Institute of Cancer Research, London, United Kingdom