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Real-life disease monitoring in follicular lymphoma patients using liquid biopsy ultra-deep sequencing and PET/CT.

Authors :
Jiménez-Ubieto A
Poza M
Martin-Muñoz A
Ruiz-Heredia Y
Dorado S
Figaredo G
Rosa-Rosa JM
Rodriguez A
Barcena C
Navamuel LP
Carrillo J
Sanchez R
Rufian L
Juárez A
Rodriguez M
Wang C
de Toledo P
Grande C
Mollejo M
Casado LF
Calbacho M
Baumann T
Rapado I
Gallardo M
Sarandeses P
Ayala R
Martínez-López J
Barrio S
Source :
Leukemia [Leukemia] 2023 Mar; Vol. 37 (3), pp. 659-669. Date of Electronic Publication: 2023 Jan 03.
Publication Year :
2023

Abstract

In the present study, we screened 84 Follicular Lymphoma patients for somatic mutations suitable as liquid biopsy MRD biomarkers using a targeted next-generation sequencing (NGS) panel. We found trackable mutations in 95% of the lymph node samples and 80% of the liquid biopsy baseline samples. Then, we used an ultra-deep sequencing approach with 2 · 10 <superscript>-4</superscript> sensitivity (LiqBio-MRD) to track those mutations on 151 follow-up liquid biopsy samples from 54 treated patients. Positive LiqBio-MRD at first-line therapy correlated with a higher risk of progression both at the interim evaluation (HR <subscript>INT</subscript> 11.0, 95% CI 2.10-57.7, p = 0.005) and at the end of treatment (HR <subscript>EOT</subscript> , HR 19.1, 95% CI 4.10-89.4, p < 0.001). Similar results were observed by PET/CT Deauville score, with a median PFS of 19 months vs. NR (p < 0.001) at the interim and 13 months vs. NR (p < 0.001) at EOT. LiqBio-MRD and PET/CT combined identified the patients that progressed in less than two years with 88% sensitivity and 100% specificity. Our results demonstrate that LiqBio-MRD is a robust and non-invasive approach, complementary to metabolic imaging, for identifying FL patients at high risk of failure during the treatment and should be considered in future response-adapted clinical trials.<br /> (© 2023. The Author(s), under exclusive licence to Springer Nature Limited.)

Details

Language :
English
ISSN :
1476-5551
Volume :
37
Issue :
3
Database :
MEDLINE
Journal :
Leukemia
Publication Type :
Academic Journal
Accession number :
36596983
Full Text :
https://doi.org/10.1038/s41375-022-01803-x