Document Type
Article
Journal Title
Nature Communications
Publication Date
2025
Volume
16
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.
MeSH Headings
Lymphoma, Mantle-Cell, Humans, Tumor Microenvironment, Prognosis, Tumor Suppressor Protein p53, Genomics, Ataxia Telangiectasia Mutated Proteins, Mutation, Female, Male, Middle Aged, Aged, Gene Expression Profiling, Gene Expression Regulation, Neoplastic, Rituximab
DOI Link
ISSN
2041-1723
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Recommended Citation
Sharma, Sunandini; Ali, Roshia; Bouska, Alyssa; Jochum, Dylan T.; Kesireddy, Meghana; Mahov, Simeon; Lownik, Joseph; Zhang, Weiwei; Lone, Waseem; Soma, Mahfuza Afroz; Gamboa, Alicia; Devarakonda, Vaishnavi; El-Gamal, Dalia; Fariha, Atqiya; Mansoor, Adnan; Stewart, Douglas; Martin, Peter; Link, Brian K.; Advani, Ranjana H.; Barr, Paul M.; Goy, Andre H.; Mehta, Amitkumar; Kamdar, Manali; Stephens, Deborah M.; Bachanova, Veronika; Smith, Lynette M.; Morin, Ryan; Pararajalingam, Prasath; Lunning, Matthew A.; Fu, Kai; Weisenburger, Dennis D.; Chan, Wing C.; Khoury, Joseph; Greiner, Timothy C.; Vose, Julie M.; Merchant, Akil; Bi, Chengfeng; Iqbal, Javeed; and North American Mantle Cell Lymphoma Project (NAMCLP), "Functional Genomics and Tumor Microenvironment Analysis Reveal Prognostic Biological Subtypes in Mantle Cell Lymphoma" (2025). Journal Articles: Oncology and Hematology. 21.
https://digitalcommons.unmc.edu/com_onchem_articles/21
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