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Functional genomics and tumor microenvironment analysis reveal prognostic biological subtypes in Mantle cell lymphoma

Author

Listed:
  • Sunandini Sharma

    (University of Nebraska Medical Center)

  • Roshia Ali

    (University of Nebraska Medical Center)

  • Alyssa Bouska

    (University of Nebraska Medical Center)

  • Dylan Jochum

    (University of Nebraska Medical Center)

  • Meghana Kesireddy

    (University of Nebraska Medical Center)

  • Simeon Mahov

    (Cedars-Sinai Medical Center)

  • Joseph Lownik

    (Cedars-Sinai Medical Center)

  • Weiwei Zhang

    (University of Nebraska Medical Center)

  • Waseem Lone

    (University of Nebraska Medical Center)

  • Mahfuza Afroz Soma

    (University of Nebraska Medical Center)

  • Alicia Gamboa

    (Cedars-Sinai Medical Center)

  • Vaishnavi Devarakonda

    (Cedars-Sinai Medical Center)

  • Dalia El-Gamal

    (University of Nebraska Medical Center)

  • Atqiya Fariha

    (University of Nebraska Medical Center)

  • Adnan Mansoor

    (University of Calgary)

  • Douglas Stewart

    (University of Calgary)

  • Peter Martin

    (Weill Cornell Medical College)

  • Brian K. Link

    (University of Iowa Hospitals & Clinics)

  • Ranjana H. Advani

    (Stanford Cancer Institute)

  • Paul M. Barr

    (University of Rochester Medical Center)

  • Andre H. Goy

    (John Theurer Cancer Center at Hackensack University Medical Center)

  • Amitkumar Mehta

    (University of Alabama at Birmingham)

  • Manali Kamdar

    (University of Colorado)

  • Deborah M. Stephens

    (Huntsman Cancer Institute at the University of Utah)

  • Veronika Bachanova

    (University of Minnesota)

  • Lynette Smith

    (University of Nebraska Medical Center)

  • Ryan Morin

    (Simon Fraser University)

  • Prasath Pararajalingam

    (Simon Fraser University)

  • Matthew A. Lunning

    (University of Nebraska Medical Center)

  • Kai Fu

    (University of Nebraska Medical Center
    Roswell Park Comprehensive Cancer Center)

  • Dennis Weisenburger

    (University of Nebraska Medical Center)

  • Wing C. Chan

    (City of Hope National Medical Center)

  • Joseph Khoury

    (University of Nebraska Medical Center)

  • Timothy C. Greiner

    (University of Nebraska Medical Center)

  • Julie M. Vose

    (University of Nebraska Medical Center)

  • Akil Merchant

    (Cedars-Sinai Medical Center)

  • Chengfeng Bi

    (University of Nebraska Medical Center)

  • Javeed Iqbal

    (University of Nebraska Medical Center)

Abstract

Mantle cell lymphoma (MCL) is a genetically and clinically heterogeneous B-cell malignancy. We studied two MCL cohorts with differing treatment patterns: one enriched for immunochemotherapy, the other for chemotherapy alone. TP53 alterations are consistently associated with poor prognosis, whereas ATM mutations correlate with improved outcomes following rituximab-based chemotherapy. Based on recurrent genetic events, six clusters are identified and refined into three prognostic groups: high-risk (TP53 mutations and deletions at 17p13.3, 13q14.2, and 19p13.3), intermediate-risk (ATM and epigenetic regulator mutations, or gains at 8q/17q/15q), and low-risk (lacking TP53 alterations, rare ATM mutations without 11q deletions, gains at 3q, deletions at 6q). Transcriptomic analysis reveals enrichment of proliferation, metabolism-promoting gene signatures in high-risk; angiogenesis and NOTCH signaling in intermediate-risk; and proinflammatory-related (i.e., IFNα, TNFα) in low-risk MCLs. Multi-proteomic spatial profiling using imaging mass cytometry (IMC) demonstrates enrichment of CD4⁺ T cells with high expression of exhaustion markers and a dominant population of myeloid cells skewed toward an M2-like phenotype. Spatially, TP53-perturbed MCLs are immune-infiltrated yet exhausted, while ATM-perturbed cases remain immune-cold with dense tumors. Functional analysis shows that p53 represses BCR signaling through PTPN6 activation. Collectively, these findings highlight distinct molecular and immune landscapes and reveal therapeutic vulnerabilities in high-risk TP53-perturbed MCL.

Suggested Citation

  • Sunandini Sharma & Roshia Ali & Alyssa Bouska & Dylan Jochum & Meghana Kesireddy & Simeon Mahov & Joseph Lownik & Weiwei Zhang & Waseem Lone & Mahfuza Afroz Soma & Alicia Gamboa & Vaishnavi Devarakond, 2025. "Functional genomics and tumor microenvironment analysis reveal prognostic biological subtypes in Mantle cell lymphoma," Nature Communications, Nature, vol. 16(1), pages 1-21, December.
  • Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-64666-7
    DOI: 10.1038/s41467-025-64666-7
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    References listed on IDEAS

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    1. Michael Lawrence & Wolfgang Huber & Hervé Pagès & Patrick Aboyoun & Marc Carlson & Robert Gentleman & Martin T Morgan & Vincent J Carey, 2013. "Software for Computing and Annotating Genomic Ranges," PLOS Computational Biology, Public Library of Science, vol. 9(8), pages 1-10, August.
    2. Christina Bligaard Pedersen & Søren Helweg Dam & Mike Bogetofte Barnkob & Michael D. Leipold & Noelia Purroy & Laura Z. Rassenti & Thomas J. Kipps & Jennifer Nguyen & James Arthur Lederer & Satyen Har, 2022. "cyCombine allows for robust integration of single-cell cytometry datasets within and across technologies," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
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