Michael Boe Møller

Syddansk Universitet Det Sundhedsvidenskabelige Fakultet
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Articles (18)

Year:

2025

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2025

Year:

2025

Year:

2025

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Purpose: Tumor-infiltrating B lymphocytes (TIL-B) have demonstrated prognostic and predictive significance in solid cancers. In this study, we aimed to distinguish TIL-Bs from malignant B-cells in diffuse large B-cell lymphoma (DLBCL) and determine the clinical and biological significance. Experimental Design: A total of 269 patients with de novo DLBCL from the International DLBCL R-CHOP Consortium Program were studied. Ultra-deep sequencing of the immunoglobulin genes was performed to determine B-cell clonotypes. The frequencies and numbers of TIL-B clonotypes in individual repertoires were correlated with patient survival, gene expression profiling (GEP) data, and frequencies of DLBCL-infiltrating immune cells quantified by fluorescent multiplex IHC at single-cell resolution. Results: TIL-B abundance, evaluated by frequencies of normal B-cell clonotypes in the immunoglobulin repertoires, remarkably showed positive associations with significantly better survival of patients in our sequenced cohorts. DLBCLs with high versus low TIL-B abundance displayed distinct GEP signatures, increased pre-memory B-cell state and naïve CD4 T-cell state fractions, and higher CD4+ T-cell infiltration. TIL-B frequency, as a new biomarker in DLBCL, outperformed the germinal center (GC) B-cell–like/activated B-cell–like classification and TIL-T frequency. The identified TIL-B–high GEP signature, including genes upregulated during T-dependent B-cell activation and those highly expressed in normal GC B cells and T cells, showed significant favorable prognostic effects in several external validation cohorts. Conclusions: TIL-B frequency is a significant prognostic factor in DLBCL and plays a crucial role in antitumor immune responses. This study provides novel insights into the prognostic determinants in DLBCL and TIL-B functions with important therapeutic implications.

Year:

2023

Year:

2023

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2022

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2022

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2022

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2022

Year:

2022

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2021

Year:

2021

Year:

2021

Collaborators (21)

Raquel Martin-Iguacel

Associate Professor

University of Southern Denmark

DENMARK
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Dianna Hussmann

Aarhus University

DENMARK
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Karen Dybkaer

Aalborg University

DENMARK
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Iben Daugaard

Aarhus University

DENMARK
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Ken H. Young

Duke University Medical Center

UNITED STATES
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Charlotte G. Nyvold

-

DENMARK
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Yong Li

Professor

Baylor College of Medicine

UNITED STATES
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Oke Gerke

Professor in Clinical Biostatistics in Diagnostic Research

University of Southern Denmark

DENMARK
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Anna Starnawska

Aarhus University

DENMARK
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Martin B. Pedersen

Aarhus University

DENMARK
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Simon Husby

University of Copenhagen

DENMARK
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Anette Drøhse Kjeldsen

-

DENMARK
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Bente Jespersen

MD professor

Aarhus University Hospital

DENMARK
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Thomas Stauffer Larsen

Odense University Hospital

DENMARK
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Malene G. Hildebrandt

-

DENMARK
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Hanne Merete Lindegaard

University of Southern Denmark

DENMARK
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Maja Ludvigsen

Aarhus University

DENMARK
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Stephen Hamilton-Dutoit

Aarhus University

DENMARK
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Jesper Rømhild Davidsen

Odense University Hospital

DENMARK
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Daniel El Fassi

Consultant, associate professor

Copenhagen University Hospital

DENMARK
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Charlotte G. Mortz

-

DENMARK
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