High Dimensional Immune Profiling of Smoldering Multiple Myeloma Distinguishes Distinct Tumor Microenvironments.


Journal

Clinical lymphoma, myeloma & leukemia
ISSN: 2152-2669
Titre abrégé: Clin Lymphoma Myeloma Leuk
Pays: United States
ID NLM: 101525386

Informations de publication

Date de publication:
11 2022
Historique:
received: 20 05 2022
accepted: 06 07 2022
pubmed: 10 8 2022
medline: 27 10 2022
entrez: 9 8 2022
Statut: ppublish

Résumé

Multiple myeloma (MM) is a malignancy of plasma cells that arises from premalignant Monoclonal Gammopathy of Undetermined Significance (MGUS) and often progresses through an asymptomatic Smoldering (SMM) phase. Understanding the interactions between abnormal clonal plasma cells and the tumor microenvironment (TME) in the early disease states (MGUS, SMM) may inform risk assessment and therapy. We performed high dimensional immunologic analysis of bone marrow specimens from 73 subjects with SMM by mass cytometry and T cell receptor sequencing of CD138-depleted bone marrow (BM) mononuclear cells, and proteomics and seromic profiling of BM plasma. Analysis of individual assay data identified self-organizing subgroups of SMM patients. We then applied novel bioinformatic methods to integrate data from pairs, trios, and quartets of assays. Mass cytometry, TCRSeq and proteomics identified three taxa (sing. taxon) of subjects that shared common characteristics across all three assays. Differential levels of BM plasma pleiotropin (PTN) and BM T cells and their productive clonality emerged as strong distinguishing factors among these taxa. These results suggest that the continuum from MGUS to MM does not consist of a single pathway in the TME, and that complex interactions between myeloma cells and the TME may ultimately determine progression and inform clinical management.

Sections du résumé

BACKGROUND
Multiple myeloma (MM) is a malignancy of plasma cells that arises from premalignant Monoclonal Gammopathy of Undetermined Significance (MGUS) and often progresses through an asymptomatic Smoldering (SMM) phase. Understanding the interactions between abnormal clonal plasma cells and the tumor microenvironment (TME) in the early disease states (MGUS, SMM) may inform risk assessment and therapy.
PATIENTS AND METHODS
We performed high dimensional immunologic analysis of bone marrow specimens from 73 subjects with SMM by mass cytometry and T cell receptor sequencing of CD138-depleted bone marrow (BM) mononuclear cells, and proteomics and seromic profiling of BM plasma. Analysis of individual assay data identified self-organizing subgroups of SMM patients. We then applied novel bioinformatic methods to integrate data from pairs, trios, and quartets of assays.
RESULTS
Mass cytometry, TCRSeq and proteomics identified three taxa (sing. taxon) of subjects that shared common characteristics across all three assays. Differential levels of BM plasma pleiotropin (PTN) and BM T cells and their productive clonality emerged as strong distinguishing factors among these taxa.
CONCLUSION
These results suggest that the continuum from MGUS to MM does not consist of a single pathway in the TME, and that complex interactions between myeloma cells and the TME may ultimately determine progression and inform clinical management.

Identifiants

pubmed: 35945129
pii: S2152-2650(22)00220-8
doi: 10.1016/j.clml.2022.07.001
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

853-862

Informations de copyright

Copyright © 2022 Elsevier Inc. All rights reserved.

Auteurs

Nicolas Fernandez (N)

Precision Immunology Institute.

Deepak Perumal (D)

Tisch Cancer Institute.

Adeeb Rahman (A)

Human Immune Monitoring Center.

Seunghee Kim-Schulze (S)

Human Immune Monitoring Center.

Jen Yesil (J)

Multiple Myeloma Research Foundation, Norwalk, CT.

Daniel Auclair (D)

Multiple Myeloma Research Foundation, Norwalk, CT.

Homer Adams (H)

Janssen Research & Development, LLC, Spring House, PA.

Samir Parekh (S)

Precision Immunology Institute; Tisch Cancer Institute; Department of Oncological Sciences, Icahn School of Medicine at Mt. Sinai, New York, NY.

Sacha Gnjatic (S)

Precision Immunology Institute; Tisch Cancer Institute; Human Immune Monitoring Center.

Hearn Jay Cho (HJ)

Precision Immunology Institute; Tisch Cancer Institute; Multiple Myeloma Research Foundation, Norwalk, CT. Electronic address: hearn.jay.cho@mssm.edu.

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Classifications MeSH