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


Journal

American journal of hematology
ISSN: 1096-8652
Titre abrégé: Am J Hematol
Pays: United States
ID NLM: 7610369

Informations de publication

Date de publication:
12 2019
Historique:
received: 26 07 2019
revised: 12 09 2019
accepted: 16 09 2019
pubmed: 2 10 2019
medline: 14 4 2020
entrez: 2 10 2019
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 31571261
doi: 10.1002/ajh.25641
pmc: PMC7449571
mid: NIHMS1614219
doi:

Substances chimiques

Biomarkers, Tumor 0
Complementarity Determining Regions 0
Immunoglobulin Heavy Chains 0
Immunoglobulin Light Chains 0
RNA, Messenger 0
RNA, Neoplasm 0

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1364-1373

Subventions

Organisme : NCI NIH HHS
ID : P30 CA008748
Pays : United States
Organisme : Multiple Myeloma Research Foundation
Pays : International

Informations de copyright

© 2019 Wiley Periodicals, Inc.

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Auteurs

Even H Rustad (EH)

Department of Medicine, Myeloma Service, Memorial Sloan Kettering Cancer Center, New York, New York.
Department of Clinical and Molecular Medicine, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway.

Kristine Misund (K)

Department of Clinical and Molecular Medicine, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway.

Elsa Bernard (E)

Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.

Eivind Coward (E)

Department of Clinical and Molecular Medicine, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway.

Venkata D Yellapantula (VD)

Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.

Malin Hultcrantz (M)

Department of Medicine, Myeloma Service, Memorial Sloan Kettering Cancer Center, New York, New York.

Caleb Ho (C)

Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.

Dickran Kazandjian (D)

Myeloma Program, Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.

Neha Korde (N)

Department of Medicine, Myeloma Service, Memorial Sloan Kettering Cancer Center, New York, New York.

Sham Mailankody (S)

Department of Medicine, Myeloma Service, Memorial Sloan Kettering Cancer Center, New York, New York.

Jonathan J Keats (JJ)

Translational Genomics Research Institute (TGen), Phoenix, Arizona.

Theresia Akhlaghi (T)

Department of Medicine, Myeloma Service, Memorial Sloan Kettering Cancer Center, New York, New York.

Aaron D Viny (AD)

Department of Medicine, Leukemia Service, Memorial Sloan Kettering Cancer Center, New York, New York.
Human Oncology & Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York.

David J Mayman (DJ)

Adult Reconstruction and Joint Replacement Division, Hospital for Special Surgery, New York, New York.

Kaitlin Carroll (K)

Adult Reconstruction and Joint Replacement Division, Hospital for Special Surgery, New York, New York.

Minal Patel (M)

Center for Hematological Malignancies, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.

Christopher A Famulare (CA)

Center for Hematological Malignancies, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.

Davine Hofste Op Bruinink (DH)

Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands.

Kasey Hutt (K)

Invivoscribe, Inc, San Diego, California.

Austin Jacobsen (A)

Invivoscribe, Inc, San Diego, California.

Ying Huang (Y)

Invivoscribe, Inc, San Diego, California.

Jeffrey E Miller (JE)

Invivoscribe, Inc, San Diego, California.

Francesco Maura (F)

Department of Medicine, Myeloma Service, Memorial Sloan Kettering Cancer Center, New York, New York.

Elli Papaemmanuil (E)

Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.

Anders Waage (A)

Department of Clinical and Molecular Medicine, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway.

Maria E Arcila (ME)

Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.

Ola Landgren (O)

Department of Medicine, Myeloma Service, Memorial Sloan Kettering Cancer Center, New York, New York.

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Classifications MeSH