cfDNA WGS vs plasma proteomics for minimally invasive MRD assessment in multiple myeloma.

D Dor Abelman (1Princess Margaret Cancer Center - University Health Network, Toronto, Canada) A Aimée Wong (3University of New Brunswick, Department of Biological Sciences, Saint John, Canada) J Jenna Eagles (2Princess Margaret Cancer Centre, Toronto, Canada) S Saumil Shah J Jeff Bruce (Princess Margaret Cancer Centre, UHN, Toronto, ON, Canada) S Stephanie Pedersen (2Princess Margaret Cancer Centre, Toronto, Canada) D David S. Scott (Princess Margaret Cancer Centre, UHN, Toronto, ON, Canada) C Cecilia Bonolo de Campos (1Princess Margaret Cancer Centre, University Health Network, Toronto, Canada) S Signy Chow (Sunnybrook Health Sciences Center, Toronto, Canada) D Darrell White (10Queen Elizabeth II Health Sciences Centre, Halifax, Canada) I Irwindeep Sandhu (1University of Alberta, Hematology, Edmonton, Canada) K Kevin W. Song (The Vancouver General Hospital, Vancouver, Canada) E Esteban Braggio (2Department of Medicine, Mayo Clinic, Phoenix, AZ) A Alli Murugesan (4Dalhousie University, Faculty of Medicine, Saint John, Canada) K Keith Stewart (1Princess Margaret Cancer Center - University Health Network, Toronto, Canada) T Tony Reiman (St. John Regional Hospital, Saint John, NB, Canada) S Suzanne Trudel (Princess Margaret Cancer Centre, Toronto) T Trevor John Pugh (Princess Margaret Cancer Centre, University Health Network. Ontario Institute for Cancer Research, Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada)

Abstract

7546 Background: MRD assessment informs relapse risk in MM but is typically bone marrow-based and invasive. We therefore compared two minimally invasive MRD assays: BM-informed cfDNA whole-genome sequencing (cfWGS) and plasma proteomic MRD (EasyM). Methods: 71 longitudinal plasma samples (22 diagnosis, 49 follow-up) from 22 newly diagnosed MM patients across 8 Canadian sites (TFRIM4) had paired cfWGS and EasyM (Rapid Novor Inc). cfWGS MRD used patient-specific mutation lists from diagnostic BM WGS (Abelman et al., medRxiv 2025). EasyM used mass spectrometry to quantify residual M-protein from baseline. The primary endpoint was progression-free survival (PFS). Results: Among 22 MM patients (8 male, 14 female; median age at diagnosis 62 years), 8 progressed at a median follow-up of 52.6 months (range: 10-79 months). At 1-year maintenance (n = 18 available), cfWGS MRD+ (6/18) predicted inferior PFS (HR 20.12, 95% CI 2.23-181.60, p = 0.007). EasyM any-detect positivity was frequent (16/18, reflecting delayed clearance) and not prognostic (p = 0.99), with poor agreement vs cfWGS (44.4%, κ = 0.118). An exploratory EasyM clearance threshold of 0.93% (hypothesis-generating) classified 5/18 patients as MRD+ and stratified PFS (HR 8.78, 95% CI 1.55-49.82, p = 0.004), improving agreement with cfWGS (17/18, 94.4%, κ = 0.870). Progression clustered in cfWGS+/EasyM-high patients (EasyM >0.93%; 4/5; median 11.9 months post-collection [1.9–22.8]) and occurred once in cfWGS−/EasyM-low patients (1/12, 27.6 months). The only discordant case (cfWGS+/EasyM−) progressed 8.7 months after collection. Higher quantitative MRD burden was associated with inferior PFS (cfWGS: HR 2.92 per 1 SD, 95% CI 1.29-6.59, p = 0.01; EasyM: HR 5.48 per 1 SD, 95% CI 0.79-37.90, p = 0.085). At ~100 days post-autologous stem cell transplantation (ASCT; n = 16 available), EasyM was uniformly MRD+ (16/16) while cfWGS was MRD+ in 7/16 patients. Applying an EasyM clearance threshold (2.13%; 9 cleared vs 7 residual) improved agreement with cfWGS (14/16; 87.5%; κ = 0.746). Of two discordant cases, one cfWGS+/EasyM-cleared patient relapsed 38.6 months post-collection and one cfWGS−/EasyM-residual patient remained progression-free at last follow-up. At post-ASCT, both assays showed consistent but underpowered associations with PFS (cfWGS HR 6.32, 95% CI 0.70–56.76, p = 0.100; EasyM-clearance HR 2.36, 95% CI 0.39–14.18, p = 0.335). Across all post-treatment samples (n = 49), continuous cfWGS burden correlated with EasyM residual M-protein (rho = 0.535, p < 0.001). Conclusions: BM-informed cfWGS MRD strongly stratified PFS, whereas EasyM required a clearance definition due to near-universal early positivity. Concordant plasma burdens support complementary MRD information. Future work will validate these findings in larger cohorts and quantify the incremental value of combined cfWGS and proteomic MRD for early relapse prediction.

Article Details

Volume / Issue Vol. 44, Issue 16_suppl
Published June 01, 2026
Pages 7546-7546
ISSN 0732-183X
Publisher Lippincott Williams & Wilkins

Journal Info

Journal of Clinical Oncology

Lippincott Williams & Wilkins

ISSN: 0732-183X Health Sciences

Authors (18)

D

Dor Abelman

1Princess Margaret Cancer Center - University Health Network, Toronto, Canada

A

Aimée Wong

3University of New Brunswick, Department of Biological Sciences, Saint John, Canada

J

Jenna Eagles

2Princess Margaret Cancer Centre, Toronto, Canada

S

Saumil Shah

J

Jeff Bruce

Princess Margaret Cancer Centre, UHN, Toronto, ON, Canada

S

Stephanie Pedersen

2Princess Margaret Cancer Centre, Toronto, Canada

D

David S. Scott

Princess Margaret Cancer Centre, UHN, Toronto, ON, Canada

C

Cecilia Bonolo de Campos

1Princess Margaret Cancer Centre, University Health Network, Toronto, Canada

S

Signy Chow

Sunnybrook Health Sciences Center, Toronto, Canada

D

Darrell White

10Queen Elizabeth II Health Sciences Centre, Halifax, Canada

I

Irwindeep Sandhu

1University of Alberta, Hematology, Edmonton, Canada

K

Kevin W. Song

The Vancouver General Hospital, Vancouver, Canada

E

Esteban Braggio

2Department of Medicine, Mayo Clinic, Phoenix, AZ

A

Alli Murugesan

4Dalhousie University, Faculty of Medicine, Saint John, Canada

K

Keith Stewart

1Princess Margaret Cancer Center - University Health Network, Toronto, Canada

T

Tony Reiman

St. John Regional Hospital, Saint John, NB, Canada

S

Suzanne Trudel

Princess Margaret Cancer Centre, Toronto

T

Trevor John Pugh

Princess Margaret Cancer Centre, University Health Network. Ontario Institute for Cancer Research, Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada