Assessment of Molecular Residual Disease Using Circulating Tumor DNA to Identify Multiple Myeloma Patients at High Risk of Relapse. Front Oncol 2022;12:786451
Date
02/22/2022Pubmed ID
35186734Pubmed Central ID
PMC8848740DOI
10.3389/fonc.2022.786451Scopus ID
2-s2.0-85124893548 (requires institutional sign-in at Scopus site) 2 CitationsAbstract
BACKGROUND: Despite treatment with high-dose chemotherapy followed by autologous stem cell transplantation (AHCT), patients with multiple myeloma (MM) invariably relapse. Molecular residual disease (MRD)-negativity post-AHCT has emerged as an important prognostic marker predicting the duration of remission. Current techniques for MRD assessment involve bone marrow (BM) aspirate sampling, which is invasive, subject to sample variability and is limited by spatial heterogeneity. We compared the performance of a non-invasive, circulating tumor DNA (ctDNA)-based MRD assay with multiparameter flow cytometry (MFC) of marrow aspirate to predict relapse in AHCT recipients with MM.
METHODS: MRD assessment using ctDNA was retrospectively analyzed on 80 plasma samples collected at different time points from 28 patients, post-AHCT. MFC was used to assess MRD from BM biopsy. Individual archived BM aspirate slides or formalin-fixed paraffin-embedded slides from the time of MM diagnosis and matched blood were used to assess MRD at 3 months, post-AHCT, using a personalized, tumor-informed ctDNA assay.
RESULTS: ctDNA was detectable in 70.8% (17/24) of pre-AHCT patients and 53.6% (15/28) of post-AHCT patients (3-month time point). Of the 15 post-AHCT ctDNA-positive patients, 14 relapsed on follow-up. The median PFS for ctDNA-positive patients was 31 months, and that for ctDNA-negative patients was 84 months (HR: 5.6; 95%CI: 1.8-17;p=0.0003). No significant difference in PFS was observed in patients stratified by MFC-based MRD status (HR 1.2; 95%CI: 0.3-3.4;p=0.73). The positive predictive value for ctDNA was also significantly higher than MFC (93.3% vs. 68.4%).
CONCLUSIONS: This study demonstrates tumor-informed ctDNA analysis is strongly predictive of MM relapse.
Author List
Dhakal B, Sharma S, Balcioglu M, Shchegrova S, Malhotra M, Zimmermann B, Billings PR, Harrington A, Sethi H, Aleshin A, Hari PNAuthors
Binod Dhakal MD Associate Professor in the Medicine department at Medical College of WisconsinAlexandra M. Harrington MD Professor in the Pathology department at Medical College of Wisconsin
