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Risk assessment with low-pass whole-genome sequencing of cell-free DNA before CD19 CAR T-cell therapy for large B-cell lymphoma

Authors :
Hua-Jay J. Cherng
Ryan Sun
Bryant Sugg
Russell Irwin
Haopeng Yang
Cao Cuong Le
Qing Deng
Luis Fayad
Nathan H. Fowler
Simrit Parmar
Raphael Steiner
Fredrick Hagemeister
Ranjit Nair
Hun Ju Lee
Maria Rodriguez
Felipe Samaniego
Swaminathan P. Iyer
Christopher R. Flowers
Linghua Wang
Loretta J. Nastoupil
Sattva S. Neelapu
Sairah Ahmed
Paolo Strati
Michael R. Green
Jason Westin
Source :
Blood. 140:504-515
Publication Year :
2022
Publisher :
American Society of Hematology, 2022.

Abstract

Patients with relapsed or refractory large B-cell lymphomas (rrLBCL) can achieve long-term remission after CD19 chimeric antigen receptor T-cell therapy (CART19). However, more than half of recipients will experience treatment failure. Thus, approaches are needed to identify high-risk patients who may benefit from alternative or consolidative therapy. We evaluated low-pass whole-genome sequencing (lpWGS) of cell-free DNA (cfDNA) before CART19 as a new approach for risk stratification. We performed lpWGS on pretreatment plasma samples from 122 patients at time of leukapheresis who received standard-of-care CART19 for rrLBCL to define DNA copy number alterations (CNAs). In multivariable selection, high focal CNA score (FCS) denoting genomic instability was the most significant pretreatment variable associated with inferior 3-month complete response rates (28% vs 56%, P = .0029), progression-free survival (PFS; P = .0007; hazard ratio, 2.11), and overall survival (OS; P = .0026; hazard ratio, 2.10). We identified 34 unique focal CNAs in 108 (89%) patients; of these, deletion 10q23.3 leading to loss of FAS death receptor was the most highly associated with poor outcomes, leading to inferior PFS (P 1 extranodal site), we built a simple risk model that could reliably risk stratify patients. Thus, lpWGS of cfDNA is a minimally invasive assay that could rapidly identify high-risk patients and may guide patient selection for and targeted therapies to evaluate in future clinical trials.

Details

ISSN :
15280020 and 00064971
Volume :
140
Database :
OpenAIRE
Journal :
Blood
Accession number :
edsair.doi...........9911912d2c35d7d55a44638dfed2abbb
Full Text :
https://doi.org/10.1182/blood.2022015601