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April 22, 2026Molecular Cancer1 citationsOpen Access

Genetically driven immune microenvironment states associate with therapeutic responses in MYD88 mutant lymphomas

JCJon CelayMRMiriam RecaldeMRMaria V. Revuelta

Key Points

  • This research investigates how genetically driven immune microenvironment states affect therapeutic responses in MYD88 mutant lymphomas.
  • Utilized murine models with MYD88L265P mutation and additional genetic lesions.
  • Analyzed immune evasion mechanisms and their impact on lymphoma microenvironment states.
  • Assessed therapeutic efficacy based on individual T-cell features.
  • Lymphomas displayed behaviors ranging from indolent small-cell tumors to aggressive DLBCL.
  • Identified unique immune microenvironment states influenced therapeutic responses across lymphoma subtypes.
  • Experimental targeting of immune mechanisms improved treatment outcomes in vivo.

Abstract

The interaction between lymphoma cells and immune microenvironment cells and the impact of this functional interplay on therapeutic responses remain largely unexplored. Here, we utilized murine models with oncogenically active MYD88 and additional genetic lesions co-triggered at selected B cell stages to generate human-like lymphomas harboring the MYD88L265P mutation. Lymphomas exhibited behaviors ranging from clinically indolent small-cell tumors to aggressive diffuse large B-cell lymphoma (DLBCL). Genetically diverse lymphoma cells employ distinct immune evasion mechanisms that shape unique lymphoma microenvironment (LME) states. In this setting, clonally expanded T-cells function as a double-edged sword, either sustaining indolent lymphoma cell survival or promoting antitumor responses in DLBCL. Consequently, the efficacy of standard-of-care and novel immunotherapies was determined using individual T-cell features. Furthermore, the experimental targeting of newly identified immune mechanisms has improved therapeutic responses in vivo. Our results elucidate that genetically driven LME landscapes influence therapeutic outcomes across distinct lymphoma subtypes, providing proof-of-concept for personalized treatment based on immune LME information.

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Cite This Study

Celay et al. (2026) studied this question.

synapsesocial.com/papers/69e865926e0dea528ddea08ahttps://doi.org/10.1186/s12943-026-02646-1
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