BACKGROUND: Diffuse large-B-cell lymphoma is curable, but when treatment fails, outcome is poor. Although imaging can help to identify patients at risk of treatment failure, they are often imprecise, and radiation exposure is a potential health risk. We aimed to assess whether circulating tumour DNA encoding the clonal immunoglobulin gene sequence could be detected in the serum of patients with diffuse large-B-cell lymphoma and used to predict clinical disease recurrence after frontline treatment. METHODS: We used next-generation DNA sequencing to retrospectively analyse cell-free circulating tumour DNA in patients assigned to one of three treatment protocols between May 8, 1993, and June 6, 2013. Eligible patients had diffuse large-B-cell lymphoma, no evidence of indolent lymphoma, and were previously untreated. We obtained serial serum samples and concurrent CT scans at specified times during most treatment cycles and up to 5 years of follow-up. VDJ gene segments of the rearranged immunoglobulin receptor genes were amplified and sequenced from pretreatment specimens and serum circulating tumour DNA encoding the VDJ rearrangements was quantitated. FINDINGS: Tumour clonotypes were identified in pretreatment specimens from 126 patients who were followed up for a median of 11 years (IQR 6·8-14·2). Interim monitoring of circulating tumour DNA at the end of two treatment cycles in 108 patients showed a 5-year time to progression of 41·7% (95% CI 22·2-60·1) in patients with detectable circulating tumour DNA and 80·2% (69·6-87·3) in those without detectable circulating tumour DNA (p<0·0001). Detectable interim circulating tumour DNA had a positive predictive value of 62·5% (95% CI 40·6-81·2) and a negative predictive value of 79·8% (69·6-87·8). Surveillance monitoring of circulating tumour DNA was done in 107 patients who achieved complete remission. A Cox proportional hazards model showed that the hazard ratio for clinical disease progression was 228 (95% CI 51-1022) for patients who developed detectable circulating tumour DNA during surveillance compared with patients with undetectable circulating tumour DNA (p<0·0001). Surveillance circulating tumour DNA had a positive predictive value of 88·2% (95% CI 63·6-98·5) and a negative predictive value of 97·8% (92·2-99·7) and identified risk of recurrence at a median of 3·5 months (range 0-200) before evidence of clinical disease. INTERPRETATION: Surveillance circulating tumour DNA identifies patients at risk of recurrence before clinical evidence of disease in most patients and results in a reduced disease burden at relapse. Interim circulating tumour DNA is a promising biomarker to identify patients at high risk of treatment failure. FUNDING: National Cancer Institute and Adaptive Biotechnologies.
BACKGROUND: Diffuse large-B-cell lymphoma is curable, but when treatment fails, outcome is poor. Although imaging can help to identify patients at risk of treatment failure, they are often imprecise, and radiation exposure is a potential health risk. We aimed to assess whether circulating tumour DNA encoding the clonal immunoglobulin gene sequence could be detected in the serum of patients with diffuse large-B-cell lymphoma and used to predict clinical disease recurrence after frontline treatment. METHODS: We used next-generation DNA sequencing to retrospectively analyse cell-free circulating tumour DNA in patients assigned to one of three treatment protocols between May 8, 1993, and June 6, 2013. Eligible patients had diffuse large-B-cell lymphoma, no evidence of indolent lymphoma, and were previously untreated. We obtained serial serum samples and concurrent CT scans at specified times during most treatment cycles and up to 5 years of follow-up. VDJ gene segments of the rearranged immunoglobulin receptor genes were amplified and sequenced from pretreatment specimens and serum circulating tumour DNA encoding the VDJ rearrangements was quantitated. FINDINGS:Tumour clonotypes were identified in pretreatment specimens from 126 patients who were followed up for a median of 11 years (IQR 6·8-14·2). Interim monitoring of circulating tumour DNA at the end of two treatment cycles in 108 patients showed a 5-year time to progression of 41·7% (95% CI 22·2-60·1) in patients with detectable circulating tumour DNA and 80·2% (69·6-87·3) in those without detectable circulating tumour DNA (p<0·0001). Detectable interim circulating tumour DNA had a positive predictive value of 62·5% (95% CI 40·6-81·2) and a negative predictive value of 79·8% (69·6-87·8). Surveillance monitoring of circulating tumour DNA was done in 107 patients who achieved complete remission. A Cox proportional hazards model showed that the hazard ratio for clinical disease progression was 228 (95% CI 51-1022) for patients who developed detectable circulating tumour DNA during surveillance compared with patients with undetectable circulating tumour DNA (p<0·0001). Surveillance circulating tumour DNA had a positive predictive value of 88·2% (95% CI 63·6-98·5) and a negative predictive value of 97·8% (92·2-99·7) and identified risk of recurrence at a median of 3·5 months (range 0-200) before evidence of clinical disease. INTERPRETATION: Surveillance circulating tumour DNA identifies patients at risk of recurrence before clinical evidence of disease in most patients and results in a reduced disease burden at relapse. Interim circulating tumour DNA is a promising biomarker to identify patients at high risk of treatment failure. FUNDING: National Cancer Institute and Adaptive Biotechnologies.
Authors: Sandra J Horning; Malik E Juweid; Heiko Schöder; Gregory Wiseman; Alex McMillan; Lode J Swinnen; Ranjana Advani; Randy Gascoyne; Andrew Quon Journal: Blood Date: 2009-09-18 Impact factor: 22.113
Authors: Craig H Moskowitz; Heiko Schöder; Julie Teruya-Feldstein; Camelia Sima; Alexia Iasonos; Carol S Portlock; David Straus; Ariela Noy; Maria L Palomba; Owen A O'Connor; Steven Horwitz; Sarah A Weaver; Jessica L Meikle; Daniel A Filippa; James F Caravelli; Paul A Hamlin; Andrew D Zelenetz Journal: J Clin Oncol Date: 2010-03-08 Impact factor: 44.544
Authors: Andreas Agathangelidis; Nikos Darzentas; Anastasia Hadzidimitriou; Xavier Brochet; Fiona Murray; Xiao-Jie Yan; Zadie Davis; Ellen J van Gastel-Mol; Cristina Tresoldi; Charles C Chu; Nicola Cahill; Veronique Giudicelli; Boris Tichy; Lone Bredo Pedersen; Letizia Foroni; Lisa Bonello; Agnieszka Janus; Karin Smedby; Achilles Anagnostopoulos; Helene Merle-Beral; Nikolaos Laoutaris; Gunnar Juliusson; Paola Francia di Celle; Sarka Pospisilova; Jesper Jurlander; Christian Geisler; Athanasios Tsaftaris; Marie-Paule Lefranc; Anton W Langerak; David Graham Oscier; Nicholas Chiorazzi; Chrysoula Belessi; Frederic Davi; Richard Rosenquist; Paolo Ghia; Kostas Stamatopoulos Journal: Blood Date: 2012-03-13 Impact factor: 22.113
Authors: Amanda F Cashen; Farrokh Dehdashti; Jingqin Luo; Andrew Homb; Barry A Siegel; Nancy L Bartlett Journal: J Nucl Med Date: 2011-02-14 Impact factor: 10.057
Authors: Kieron Dunleavy; Richard F Little; Stefania Pittaluga; Nicole Grant; Alan S Wayne; Jorge A Carrasquillo; Seth M Steinberg; Robert Yarchoan; Elaine S Jaffe; Wyndham H Wilson Journal: Blood Date: 2010-02-03 Impact factor: 22.113
Authors: Christian Gisselbrecht; Bertram Glass; Nicolas Mounier; Devinder Singh Gill; David C Linch; Marek Trneny; Andre Bosly; Nicolas Ketterer; Ofer Shpilberg; Hans Hagberg; David Ma; Josette Brière; Craig H Moskowitz; Norbert Schmitz Journal: J Clin Oncol Date: 2010-07-26 Impact factor: 44.544
Authors: Wyndham H Wilson; Kieron Dunleavy; Stefania Pittaluga; Upendra Hegde; Nicole Grant; Seth M Steinberg; Mark Raffeld; Martin Gutierrez; Bruce A Chabner; Louis Staudt; Elaine S Jaffe; John E Janik Journal: J Clin Oncol Date: 2008-03-31 Impact factor: 44.544
Authors: Neerav N Shukla; Juber A Patel; Heather Magnan; Ahmet Zehir; Daoqi You; Jiabin Tang; Fanli Meng; Aliaksandra Samoila; Emily K Slotkin; Srikanth R Ambati; Alexander J Chou; Leonard H Wexler; Paul A Meyers; Ellinor I Peerschke; Agnes Viale; Michael F Berger; Marc Ladanyi Journal: JCO Precis Oncol Date: 2017-05-23