Literature DB >> 22160699

High-throughput VDJ sequencing for quantification of minimal residual disease in chronic lymphocytic leukemia and immune reconstitution assessment.

Aaron C Logan1, Hong Gao, Chunlin Wang, Bita Sahaf, Carol D Jones, Eleanor L Marshall, Ismael Buño, Randall Armstrong, Andrew Z Fire, Kenneth I Weinberg, Michael Mindrinos, James L Zehnder, Scott D Boyd, Wenzhong Xiao, Ronald W Davis, David B Miklos.   

Abstract

The primary cause of poor outcome following allogeneic hematopoietic cell transplantation (HCT) for chronic lymphocytic leukemia (CLL) is disease recurrence. Detection of increasing minimal residual disease (MRD) following HCT may permit early intervention to prevent clinical relapse; however, MRD quantification remains an uncommon diagnostic test because of logistical and financial barriers to widespread use. Here we describe a method for quantifying CLL MRD using widely available consensus primers for amplification of all Ig heavy chain (IGH) genes in a mixture of peripheral blood mononuclear cells, followed by high-throughput sequencing (HTS) for disease-specific IGH sequence quantification. To achieve accurate MRD quantification, we developed a systematic bioinformatic methodology to aggregate cancer clone sequence variants arising from systematic and random artifacts occurring during IGH-HTS. We then compared the sensitivity of IGH-HTS, flow cytometry, and allele-specific oligonucleotide PCR for MRD quantification in 28 samples collected from 6 CLL patients following allogeneic HCT. Using amplimer libraries generated with consensus primers from patient blood samples, we demonstrate the sensitivity of IGH-HTS with 454 pyrosequencing to be 10(-5), with a high correlation between quantification by allele-specific oligonucleotide PCR and IGH-HTS (r = 0.85). From the same dataset used to quantify MRD, IGH-HTS also allowed us to profile IGH repertoire reconstitution after HCT-information not provided by the other MRD methods. IGH-HTS using consensus primers will broaden the availability of MRD quantification in CLL and other B cell malignancies, and this approach has potential for quantitative evaluation of immune diversification following transplant and nontransplant therapies.

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Year:  2011        PMID: 22160699      PMCID: PMC3248502          DOI: 10.1073/pnas.1118357109

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  35 in total

1.  The prognostic impact of minimal residual disease assessment after stem cell transplantation for chronic lymphocytic leukemia: is achievement of molecular remission worthwhile?

Authors:  P Dreger; M Ritgen; S Böttcher; N Schmitz; M Kneba
Journal:  Leukemia       Date:  2005-07       Impact factor: 11.528

Review 2.  Minimal residual disease in chronic lymphocytic leukaemia: is it ready for primetime?

Authors:  Chadi Nabhan; Steven Coutré; Peter Hillmen
Journal:  Br J Haematol       Date:  2006-11-27       Impact factor: 6.998

3.  Flow cytometric protein expression profiling as a systematic approach for developing disease-specific assays: identification of a chronic lymphocytic leukaemia-specific assay for use in rituximab-containing regimens.

Authors:  A C Rawstron; R de Tute; A S Jack; P Hillmen
Journal:  Leukemia       Date:  2006-10-19       Impact factor: 11.528

4.  Hematopoietic cell transplantation after nonmyeloablative conditioning for advanced chronic lymphocytic leukemia.

Authors:  Mohamed L Sorror; Michael B Maris; Brenda M Sandmaier; Barry E Storer; Monic J Stuart; Ute Hegenbart; Edward Agura; Thomas R Chauncey; Jose Leis; Michael Pulsipher; Peter McSweeney; Jerald P Radich; Christopher Bredeson; Benedetto Bruno; Amelia Langston; Michael R Loken; Haifa Al-Ali; Karl G Blume; Rainer Storb; David G Maloney
Journal:  J Clin Oncol       Date:  2005-04-04       Impact factor: 44.544

5.  Protective conditioning for acute graft-versus-host disease.

Authors:  Robert Lowsky; Tsuyoshi Takahashi; Yin Ping Liu; Sussan Dejbakhsh-Jones; F Carl Grumet; Judith A Shizuru; Ginna G Laport; Keith E Stockerl-Goldstein; Laura J Johnston; Richard T Hoppe; Daniel A Bloch; Karl G Blume; Robert S Negrin; Samuel Strober
Journal:  N Engl J Med       Date:  2005-09-29       Impact factor: 91.245

6.  Guidelines for the diagnosis and treatment of chronic lymphocytic leukemia: a report from the International Workshop on Chronic Lymphocytic Leukemia updating the National Cancer Institute-Working Group 1996 guidelines.

Authors:  Michael Hallek; Bruce D Cheson; Daniel Catovsky; Federico Caligaris-Cappio; Guillaume Dighiero; Hartmut Döhner; Peter Hillmen; Michael J Keating; Emili Montserrat; Kanti R Rai; Thomas J Kipps
Journal:  Blood       Date:  2008-01-23       Impact factor: 22.113

7.  Quantitative MRD monitoring identifies distinct GVL response patterns after allogeneic stem cell transplantation for chronic lymphocytic leukemia: results from the GCLLSG CLL3X trial.

Authors:  M Ritgen; S Böttcher; S Stilgenbauer; D Bunjes; J Schubert; S Cohen; A Humpe; M Hallek; M Kneba; N Schmitz; H Döhner; P Dreger
Journal:  Leukemia       Date:  2008-04-17       Impact factor: 11.528

8.  Stem cell transplantation in poor-risk chronic lymphocytic leukemia: assessment of post-transplant minimal residual disease using four- and six-color flow cytometry and allele-specific RQ-PCR.

Authors:  Maija Itälä; Anna-Riina Huhtinen; Vesa Juvonen; Veli Kairisto; Tarja-Terttu Pelliniemi; Tarja-Leena Penttilä; Auvo Rauhala; Anri Tienhaara; Kari Remes
Journal:  Eur J Haematol       Date:  2008-04-10       Impact factor: 2.997

9.  Subclonal phylogenetic structures in cancer revealed by ultra-deep sequencing.

Authors:  Peter J Campbell; Erin D Pleasance; Philip J Stephens; Ed Dicks; Richard Rance; Ian Goodhead; George A Follows; Anthony R Green; P Andy Futreal; Michael R Stratton
Journal:  Proc Natl Acad Sci U S A       Date:  2008-08-22       Impact factor: 11.205

10.  Characterization of mutation spectra with ultra-deep pyrosequencing: application to HIV-1 drug resistance.

Authors:  Chunlin Wang; Yumi Mitsuya; Baback Gharizadeh; Mostafa Ronaghi; Robert W Shafer
Journal:  Genome Res       Date:  2007-06-28       Impact factor: 9.043

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  66 in total

1.  Ultra-high-throughput sequencing of the immune receptor repertoire from millions of lymphocytes.

Authors:  Jonathan R McDaniel; Brandon J DeKosky; Hidetaka Tanno; Andrew D Ellington; George Georgiou
Journal:  Nat Protoc       Date:  2016-02-04       Impact factor: 13.491

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

Authors:  Aaron C Logan; Nikita Vashi; Malek Faham; Victoria Carlton; Katherine Kong; Ismael Buño; Jianbiao Zheng; Martin Moorhead; Mark Klinger; Bing Zhang; Amna Waqar; James L Zehnder; David B Miklos
Journal:  Biol Blood Marrow Transplant       Date:  2014-04-24       Impact factor: 5.742

3.  In-depth determination and analysis of the human paired heavy- and light-chain antibody repertoire.

Authors:  Brandon J DeKosky; Takaaki Kojima; Alexa Rodin; Wissam Charab; Gregory C Ippolito; Andrew D Ellington; George Georgiou
Journal:  Nat Med       Date:  2014-12-15       Impact factor: 53.440

Review 4.  New criteria for response assessment: role of minimal residual disease in multiple myeloma.

Authors:  Bruno Paiva; Jacques J M van Dongen; Alberto Orfao
Journal:  Blood       Date:  2015-04-02       Impact factor: 22.113

5.  High-throughput sequencing of B- and T-lymphocyte antigen receptors in hematology.

Authors:  Edus H Warren; Frederick A Matsen; Jeffrey Chou
Journal:  Blood       Date:  2013-05-08       Impact factor: 22.113

6.  High-resolution antibody dynamics of vaccine-induced immune responses.

Authors:  Uri Laserson; Francois Vigneault; Daniel Gadala-Maria; Gur Yaari; Mohamed Uduman; Jason A Vander Heiden; William Kelton; Sang Taek Jung; Yi Liu; Jonathan Laserson; Raj Chari; Je-Hyuk Lee; Ido Bachelet; Brendan Hickey; Erez Lieberman-Aiden; Bozena Hanczaruk; Birgitte B Simen; Michael Egholm; Daphne Koller; George Georgiou; Steven H Kleinstein; George M Church
Journal:  Proc Natl Acad Sci U S A       Date:  2014-03-17       Impact factor: 11.205

7.  Towards error-free profiling of immune repertoires.

Authors:  Mikhail Shugay; Olga V Britanova; Ekaterina M Merzlyak; Maria A Turchaninova; Ilgar Z Mamedov; Timur R Tuganbaev; Dmitriy A Bolotin; Dmitry B Staroverov; Ekaterina V Putintseva; Karla Plevova; Carsten Linnemann; Dmitriy Shagin; Sarka Pospisilova; Sergey Lukyanov; Ton N Schumacher; Dmitriy M Chudakov
Journal:  Nat Methods       Date:  2014-05-04       Impact factor: 28.547

8.  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

9.  Deep-sequencing approach for minimal residual disease detection in acute lymphoblastic leukemia.

Authors:  Malek Faham; Jianbiao Zheng; Martin Moorhead; Victoria E H Carlton; Patricia Stow; Elaine Coustan-Smith; Ching-Hon Pui; Dario Campana
Journal:  Blood       Date:  2012-10-16       Impact factor: 22.113

10.  IGHV-unmutated and IGHV-mutated chronic lymphocytic leukemia cells produce activation-induced deaminase protein with a full range of biologic functions.

Authors:  Piers E M Patten; Charles C Chu; Emilia Albesiano; Rajendra N Damle; Xiao-Jie Yan; Dorothy Kim; Lu Zhang; Amanda R Magli; Jacqueline Barrientos; Jonathan E Kolitz; Steven L Allen; Kanti R Rai; Sergio Roa; Patricia K Mongini; Thomas MacCarthy; Matthew D Scharff; Nicholas Chiorazzi
Journal:  Blood       Date:  2012-10-15       Impact factor: 22.113

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