Literature DB >> 31571261

Stability and uniqueness of clonal immunoglobulin CDR3 sequences for MRD tracking in multiple myeloma.

Even H Rustad1,2, Kristine Misund2, Elsa Bernard3, Eivind Coward2, Venkata D Yellapantula3, Malin Hultcrantz1, Caleb Ho4, Dickran Kazandjian5, Neha Korde1, Sham Mailankody1, Jonathan J Keats6, Theresia Akhlaghi1, Aaron D Viny7,8, David J Mayman9, Kaitlin Carroll9, Minal Patel10, Christopher A Famulare10, Davine Hofste Op Bruinink11, Kasey Hutt12, Austin Jacobsen12, Ying Huang12, Jeffrey E Miller12, Francesco Maura1, Elli Papaemmanuil3, Anders Waage2, Maria E Arcila4, Ola Landgren1.   

Abstract

Minimal residual disease (MRD) tracking, by next generation sequencing of immunoglobulin sequences, is moving towards clinical implementation in multiple myeloma. However, there is only sparse information available to address whether clonal sequences remain stable for tracking over time, and to what extent light chain sequences are sufficiently unique for tracking. Here, we analyzed immunoglobulin repertoires from 905 plasma cell myeloma and healthy control samples, focusing on the third complementarity determining region (CDR3). Clonal heavy and/or light chain expression was identified in all patients at baseline, with one or more subclones related to the main clone in 3.2%. In 45 patients with 101 sequential samples, the dominant clonal CDR3 sequences remained identical over time, despite differential clonal evolution by whole exome sequencing in 49% of patients. The low frequency of subclonal CDR3 variants, and absence of evolution over time in active multiple myeloma, indicates that tumor cells at this stage are not under selective pressure to undergo antibody affinity maturation. Next, we establish somatic hypermutation and non-templated insertions as the most important determinants of light chain clonal uniqueness, identifying a potentially trackable sequence in the majority of patients. Taken together, we show that dominant clonal sequences identified at baseline are reliable biomarkers for long-term tracking of the malignant clone, including both IGH and the majority of light chain clones.
© 2019 Wiley Periodicals, Inc.

Entities:  

Mesh:

Substances:

Year:  2019        PMID: 31571261     DOI: 10.1002/ajh.25641

Source DB:  PubMed          Journal:  Am J Hematol        ISSN: 0361-8609            Impact factor:   10.047


  11 in total

Review 1.  Monitoring minimal residual disease in the bone marrow using next generation sequencing.

Authors:  Even H Rustad; Eileen M Boyle
Journal:  Best Pract Res Clin Haematol       Date:  2020-01-17       Impact factor: 3.020

2.  Clinical value of measurable residual disease testing for assessing depth, duration, and direction of response in multiple myeloma.

Authors:  Joaquin Martinez-Lopez; Sandy W Wong; Nina Shah; Natasha Bahri; Kaili Zhou; Ying Sheng; Chiung-Yu Huang; Thomas Martin; Jeffrey Wolf
Journal:  Blood Adv       Date:  2020-07-28

3.  Capture Rate of V(D)J Sequencing for Minimal Residual Disease Detection in Multiple Myeloma.

Authors:  Malin Hultcrantz; Even H Rustad; Venkata Yellapantula; Allison Jacob; Theresia Akhlaghi; Neha Korde; Sham Mailankody; Alexander M Lesokhin; Hani Hassoun; Eric L Smith; Oscar B Lahoud; Heather J Landau; Gunjan L Shah; Michael Scordo; David J Chung; Sergio Giralt; Elli Papaemmanuil; Ola Landgren
Journal:  Clin Cancer Res       Date:  2022-05-13       Impact factor: 13.801

4.  Timing the initiation of multiple myeloma.

Authors:  Even H Rustad; Venkata Yellapantula; Daniel Leongamornlert; Niccolò Bolli; Guy Ledergor; Ferran Nadeu; Nicos Angelopoulos; Kevin J Dawson; Thomas J Mitchell; Robert J Osborne; Bachisio Ziccheddu; Cristiana Carniti; Vittorio Montefusco; Paolo Corradini; Kenneth C Anderson; Philippe Moreau; Elli Papaemmanuil; Ludmil B Alexandrov; Xose S Puente; Elias Campo; Reiner Siebert; Herve Avet-Loiseau; Ola Landgren; Nikhil Munshi; Peter J Campbell; Francesco Maura
Journal:  Nat Commun       Date:  2020-04-21       Impact factor: 14.919

5.  Isabl Platform, a digital biobank for processing multimodal patient data.

Authors:  Juan S Medina-Martínez; Juan E Arango-Ossa; Max F Levine; Yangyu Zhou; Gunes Gundem; Andrew L Kung; Elli Papaemmanuil
Journal:  BMC Bioinformatics       Date:  2020-11-30       Impact factor: 3.169

6.  Circulating T-Cell Repertoires Correlate With the Tumor Response in Patients With Breast Cancer Receiving Neoadjuvant Chemotherapy.

Authors:  Gengxi Cai; Zhanwen Guan; Yabin Jin; Zuhui Su; Xiangping Chen; Qing Liu; Chunlin Wang; Xiaoxia Yin; Lifang Zhang; Guolin Ye; Wei Luo
Journal:  JCO Precis Oncol       Date:  2022-01

Review 7.  Minimal Residual Disease Assessment in Multiple Myeloma Patients: Minimal Disease With Maximal Implications.

Authors:  Charalampos Charalampous; Taxiarchis Kourelis
Journal:  Front Oncol       Date:  2022-01-26       Impact factor: 6.244

8.  Single-cell RNA-seq reveals clonal diversity and prognostic genes of relapsed multiple myeloma.

Authors:  Haiyan He; Zifeng Li; Jing Lu; Wanting Qiang; Sihan Jiang; Yaochen Xu; Weijun Fu; Xiaowen Zhai; Lin Zhou; Maoxiang Qian; Juan Du
Journal:  Clin Transl Med       Date:  2022-03

9.  Comprehensive detection of recurring genomic abnormalities: a targeted sequencing approach for multiple myeloma.

Authors:  Venkata Yellapantula; Malin Hultcrantz; Even H Rustad; Ester Wasserman; Dory Londono; Robert Cimera; Amanda Ciardiello; Heather Landau; Theresia Akhlaghi; Sham Mailankody; Minal Patel; Juan Santiago Medina-Martinez; Juan Esteban Arango Ossa; Max Fine Levine; Niccolo Bolli; Francesco Maura; Ahmet Dogan; Elli Papaemmanuil; Yanming Zhang; Ola Landgren
Journal:  Blood Cancer J       Date:  2019-12-11       Impact factor: 11.037

10.  Monitoring multiple myeloma in the peripheral blood based on cell-free DNA and circulating plasma cells.

Authors:  Elisabeth K M Mack; Sören Hartmann; Petra Ross; Ellen Wollmer; Christoph Mann; Andreas Neubauer; Cornelia Brendel; Jörg Hoffmann
Journal:  Ann Hematol       Date:  2022-02-01       Impact factor: 3.673

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.