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In-depth cell-free DNA sequencing reveals genomic landscape of Hodgkin's lymphoma and facilitates ultrasensitive residual disease detection.

Authors :
Sobesky S
Mammadova L
Cirillo M
Drees EEE
Mattlener J
Dörr H
Altmüller J
Shi Z
Bröckelmann PJ
Weiss J
Kreissl S
Sasse S
Ullrich RT
Reinke S
Klapper W
Gerhard-Hartmann E
Rosenwald A
Roemer MGM
Nürnberg P
Hagenbeek A
Zijlstra JM
Pegtel DM
Engert A
Borchmann P
von Tresckow B
Borchmann S
Source :
Med (New York, N.Y.) [Med] 2021 Oct 08; Vol. 2 (10), pp. 1171-1193.e11.
Publication Year :
2021

Abstract

Background: Individualization of treatment in Hodgkin's lymphoma is necessary to improve cure rates and reduce treatment side effects. Currently, it is hindered by a lack of genomic characterization and sensitive molecular response assessment. Sequencing of cell-free DNA is a powerful strategy to understand the cancer genome and can be used for extremely sensitive disease monitoring. In Hodgkin's lymphoma, a high proportion of cell-free DNA is tumor-derived, whereas traditional tumor biopsies only contain a little tumor-derived DNA.<br />Methods: We comprehensively genotype and assess minimal residual disease in 121 patients with baseline plasma as well as 77 follow-up samples from a subset of patients with our targeted cell-free DNA sequencing platform.<br />Findings: We present an integrated landscape of mutations and copy number variations in Hodgkin's lymphoma. In addition, we perform a deep analysis of mutational processes driving Hodgkin's lymphoma, investigate the clonal structure of Hodgkin's lymphoma, and link several genotypes to Hodgkin's lymphoma phenotypes and outcome. Finally, we show that minimal residual disease assessment by repeat cell-free DNA sequencing, as early as a week after treatment initiation, predicts treatment response and progression-free survival, allowing highly improved treatment guidance and relapse prediction.<br />Conclusions: Our targeted cell-free DNA sequencing platform reveals the genomic landscape of Hodgkin's lymphoma and facilitates ultrasensitive detection of minimal residual disease.<br />Funding: Mildred Scheel School of Oncology Aachen-Bonn-Cologne-Düsseldorf MD Research Stipend, Next Generation Sequencing Competence Network grant 423957469, Deutsche Krebshilfe grant 70112502, Deutsche Forschungsgemeinschaft (DFG) grant EN 179/13-1, the HL MRD consortium, and the Frau-Weiskam und Christel Ruranski-Stiftung.<br />Competing Interests: Declaration of Interests P.J.B. reports research grants from BeiGene, Bristol Myers Squibb, Merck Sharpe & Dohme, and Takeda and personal fees and non-financial support from Bristol-Myers Squibb, Celgene, and Takeda, all outside the submitted work. S.S. received travel grants from GSK. D.M.P. reports being founder and CSO of Exbiome and an occasional advisor for Takeda. B.v.T. reports personal fees and nonfinancial support from Bristol-Myers Squibb; personal fees from Amgen, Pfizer, Gilead Sciences, Pentixapharm, and Roche; grants, personal fees, and nonfinancial support from MSD and Takeda; and grants, personal fees, and nonfinancial support from Novartis. S.B. reports being founder, CEO, and shareholder of Liqomics and personal fees and non-financial support from Bristol-Myers Squibb and Takeda outside the submitted work.<br /> (Copyright © 2021 Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
2666-6340
Volume :
2
Issue :
10
Database :
MEDLINE
Journal :
Med (New York, N.Y.)
Publication Type :
Academic Journal
Accession number :
35590205
Full Text :
https://doi.org/10.1016/j.medj.2021.09.002