Literature DB >> 24769317

Immunoglobulin and T cell receptor gene high-throughput sequencing quantifies minimal residual disease in acute lymphoblastic leukemia and predicts post-transplantation relapse and survival.

Aaron C Logan1, Nikita Vashi2, Malek Faham3, Victoria Carlton3, Katherine Kong3, Ismael Buño4, Jianbiao Zheng3, Martin Moorhead3, Mark Klinger3, Bing Zhang5, Amna Waqar5, James L Zehnder5, David B Miklos2.   

Abstract

Minimal residual disease (MRD) quantification is an important predictor of outcome after treatment for acute lymphoblastic leukemia (ALL). Bone marrow ALL burden ≥ 10(-4) after induction predicts subsequent relapse. Likewise, MRD ≥ 10(-4) in bone marrow before initiation of conditioning for allogeneic (allo) hematopoietic cell transplantation (HCT) predicts transplantation failure. Current methods for MRD quantification in ALL are not sufficiently sensitive for use with peripheral blood specimens and have not been broadly implemented in the management of adults with ALL. Consensus-primed immunoglobulin (Ig), T cell receptor (TCR) amplification and high-throughput sequencing (HTS) permit use of a standardized algorithm for all patients and can detect leukemia at 10(-6) or lower. We applied the LymphoSIGHT HTS platform (Sequenta Inc., South San Francisco, CA) to quantification of MRD in 237 samples from 29 adult B cell ALL patients before and after allo-HCT. Using primers for the IGH-VDJ, IGH-DJ, IGK, TCRB, TCRD, and TCRG loci, MRD could be quantified in 93% of patients. Leukemia-associated clonotypes at these loci were identified in 52%, 28%, 10%, 35%, 28%, and 41% of patients, respectively. MRD ≥ 10(-4) before HCT conditioning predicted post-HCT relapse (hazard ratio [HR], 7.7; 95% confidence interval [CI], 2.0 to 30; P = .003). In post-HCT blood samples, MRD ≥10(-6) had 100% positive predictive value for relapse with median lead time of 89 days (HR, 14; 95% CI, 4.7 to 44, P < .0001). The use of HTS-based MRD quantification in adults with ALL offers a standardized approach with sufficient sensitivity to quantify leukemia MRD in peripheral blood. Use of this approach may identify a window for clinical intervention before overt relapse.
Copyright © 2014 American Society for Blood and Marrow Transplantation. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Acute lymphoblastic leukemia; Allogeneic hematopoietic cell transplantation; High-throughput sequencing; Minimal residual disease; Next-generation sequencing

Mesh:

Substances:

Year:  2014        PMID: 24769317      PMCID: PMC5259557          DOI: 10.1016/j.bbmt.2014.04.018

Source DB:  PubMed          Journal:  Biol Blood Marrow Transplant        ISSN: 1083-8791            Impact factor:   5.742


  36 in total

1.  TCRB gene rearrangements in childhood and adult precursor-B-ALL: frequency, applicability as MRD-PCR target, and stability between diagnosis and relapse.

Authors:  V H J van der Velden; M Brüggemann; P G Hoogeveen; M de Bie; P G Hart; T Raff; H Pfeifer; S Lüschen; T Szczepański; E R van Wering; M Kneba; J J M van Dongen
Journal:  Leukemia       Date:  2004-12       Impact factor: 11.528

2.  Adult patients with acute lymphoblastic leukemia and molecular failure display a poor prognosis and are candidates for stem cell transplantation and targeted therapies.

Authors:  Nicola Gökbuget; Michael Kneba; Thorsten Raff; Heiko Trautmann; Claus-Rainer Bartram; Renate Arnold; Rainer Fietkau; Mathias Freund; Arnold Ganser; Wolf-Dieter Ludwig; Georg Maschmeyer; Harald Rieder; Stefan Schwartz; Hubert Serve; Eckhard Thiel; Monika Brüggemann; Dieter Hoelzer
Journal:  Blood       Date:  2012-03-22       Impact factor: 22.113

3.  Has MRD monitoring superseded other prognostic factors in adult ALL?

Authors:  Monika Brüggemann; Thorsten Raff; Michael Kneba
Journal:  Blood       Date:  2012-10-02       Impact factor: 22.113

4.  Residual leukaemia after bone marrow transplant in children with acute lymphoblastic leukaemia after first haematological relapse or with poor initial presenting features.

Authors:  Nancy Bunin; Dennis A Johnston; W Mark Roberts; Maia V Ouspenskaia; Victor Z Papusha; Mark A Brandt; Theodore F Zipf
Journal:  Br J Haematol       Date:  2003-02       Impact factor: 6.998

5.  Chromosome 14 copy number-dependent IGH gene rearrangement patterns in high hyperdiploid childhood B-cell precursor ALL: implications for leukemia biology and minimal residual disease analysis.

Authors:  E Csinady; V H J van der Velden; R Joas; S Fischer; J F de Vries; H B Beverloo; M König; U Pötschger; J J M van Dongen; G Mann; O A Haas; E R Panzer-Grümayer
Journal:  Leukemia       Date:  2009-01-15       Impact factor: 11.528

6.  Minimal residual disease (MRD) status prior to allogeneic stem cell transplantation is a powerful predictor for post-transplant outcome in children with ALL.

Authors:  P Bader; J Hancock; H Kreyenberg; N J Goulden; D Niethammer; A Oakhill; C G Steward; R Handgretinger; J F Beck; T Klingebiel
Journal:  Leukemia       Date:  2002-09       Impact factor: 11.528

7.  Minimal residual disease detection in childhood acute lymphoblastic leukaemia patients at multiple time-points reveals high levels of concordance between molecular and immunophenotypic approaches.

Authors:  Jacqueline Ryan; Fiona Quinn; Armelle Meunier; Ludmila Boublikova; Mireille Crampe; Prerna Tewari; Aengus O'Marcaigh; Ray Stallings; Michael Neat; Ann O'Meara; Fin Breatnach; Shaun McCann; Paul Browne; Owen Smith; Mark Lawler
Journal:  Br J Haematol       Date:  2008-11-11       Impact factor: 6.998

8.  Measurement and clinical monitoring of human lymphocyte clonality by massively parallel VDJ pyrosequencing.

Authors:  Scott D Boyd; Eleanor L Marshall; Jason D Merker; Jay M Maniar; Lyndon N Zhang; Bita Sahaf; Carol D Jones; Birgitte B Simen; Bozena Hanczaruk; Khoa D Nguyen; Kari C Nadeau; Michael Egholm; David B Miklos; James L Zehnder; Andrew Z Fire
Journal:  Sci Transl Med       Date:  2009-12-23       Impact factor: 17.956

9.  Minimal residual disease quantification using consensus primers and high-throughput IGH sequencing predicts post-transplant relapse in chronic lymphocytic leukemia.

Authors:  A C Logan; B Zhang; B Narasimhan; V Carlton; J Zheng; M Moorhead; M R Krampf; C D Jones; A N Waqar; M Faham; J L Zehnder; D B Miklos
Journal:  Leukemia       Date:  2013-02-19       Impact factor: 11.528

10.  Implementation of the standard strategy for identification of Ig/TCR targets for minimal residual disease diagnostics in B-cell precursor ALL pediatric patients: Polish experience.

Authors:  Małgorzata Dawidowska; Justyna Jółkowska; Tomasz Szczepański; Katarzyna Derwich; Jacek Wachowiak; Michał Witt
Journal:  Arch Immunol Ther Exp (Warsz)       Date:  2008-12-01       Impact factor: 4.291

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  44 in total

Review 1.  Recommendations for the assessment and management of measurable residual disease in adults with acute lymphoblastic leukemia: A consensus of North American experts.

Authors:  Nicholas J Short; Elias Jabbour; Maher Albitar; Marcos de Lima; Lia Gore; Jeffrey Jorgensen; Aaron C Logan; Jae Park; Farhad Ravandi; Bijal Shah; Jerald Radich; Hagop Kantarjian
Journal:  Am J Hematol       Date:  2018-11-26       Impact factor: 10.047

Review 2.  Minimal residual disease diagnostics in acute lymphoblastic leukemia: need for sensitive, fast, and standardized technologies.

Authors:  Jacques J M van Dongen; Vincent H J van der Velden; Monika Brüggemann; Alberto Orfao
Journal:  Blood       Date:  2015-05-21       Impact factor: 22.113

Review 3.  Patient selection for allogeneic hematopoietic cell transplantation (HCT): the evolution of HCT risk assessment.

Authors:  Lori Muffly
Journal:  Curr Hematol Malig Rep       Date:  2015-03       Impact factor: 3.952

4.  Somatic mutations of cell-free circulating DNA detected by next-generation sequencing reflect the genetic changes in both germinal center B-cell-like and activated B-cell-like diffuse large B-cell lymphomas at the time of diagnosis.

Authors:  Elodie Bohers; Pierre Julien Viailly; Sydney Dubois; Philippe Bertrand; Catherine Maingonnat; Sylvain Mareschal; Philippe Ruminy; Jean-Michel Picquenot; Christian Bastard; Fabienne Desmots; Thierry Fest; Karen Leroy; Hervé Tilly; Fabrice Jardin
Journal:  Haematologica       Date:  2015-03-06       Impact factor: 9.941

5.  Genome-wide assessment of recurrent genomic imbalances in canine leukemia identifies evolutionarily conserved regions for subtype differentiation.

Authors:  Sarah C Roode; Daniel Rotroff; Anne C Avery; Steven E Suter; Dorothee Bienzle; Joshua D Schiffman; Alison Motsinger-Reif; Matthew Breen
Journal:  Chromosome Res       Date:  2015-06-03       Impact factor: 5.239

6.  Next-Generation Sequencing in Adult B Cell Acute Lymphoblastic Leukemia Patients.

Authors:  Olga Sala Torra; Megan Othus; David W Williamson; Brent Wood; Ilan Kirsch; Harlan Robins; Lan Beppu; Margaret R O'Donnell; Stephen J Forman; Frederick R Appelbaum; Jerald P Radich
Journal:  Biol Blood Marrow Transplant       Date:  2017-01-03       Impact factor: 5.742

7.  Reliability of immune receptor rearrangements as genetic markers for minimal residual disease monitoring.

Authors:  V I Nazarov; A A Minervina; A Y Komkov; M V Pogorelyy; M A Maschan; Y V Olshanskaya; I V Zvyagin; D M Chudakov; Y B Lebedev; I Z Mamedov
Journal:  Bone Marrow Transplant       Date:  2016-05-23       Impact factor: 5.483

Review 8.  Hematopoietic Cell Transplantation for Acute Lymphoblastic Leukemia in Adults.

Authors:  Craig Speziali; Kristjan Paulson; Matthew Seftel
Journal:  Curr Hematol Malig Rep       Date:  2016-06       Impact factor: 3.952

9.  High-throughput T cell receptor sequencing identifies clonally expanded CD8+ T cell populations in alopecia areata.

Authors:  Annemieke de Jong; Ali Jabbari; Zhenpeng Dai; Luzhou Xing; Dustin Lee; Mei Mei Li; Madeleine Duvic; Maria Hordinsky; David A Norris; Vera Price; Julian Mackay-Wiggan; Raphael Clynes; Angela M Christiano
Journal:  JCI Insight       Date:  2018-10-04

10.  GvL effects in T-prolymphocytic leukemia: evidence from MRD kinetics and TCR repertoire analyses.

Authors:  L Sellner; M Brüggemann; M Schlitt; H Knecht; D Herrmann; T Reigl; A Krejci; V Bystry; N Darzentas; M Rieger; S Dietrich; T Luft; A D Ho; M Kneba; P Dreger
Journal:  Bone Marrow Transplant       Date:  2016-12-12       Impact factor: 5.483

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