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Record W4414465206 · doi:10.1158/2326-6074.cimm25-b007

Abstract B007: Tissue-Specific B Cell Differentiation Limits Anti-Tumor Efficacy of Radiation and Immunotherapy

2025· article· en· W4414465206 on OpenAlexaboutno aff
Maud Charpentier, David E. Sprott, Sandra Demaria

Bibliographic record

VenueCancer Immunology Research · 2025
Typearticle
Languageen
FieldMedicine
TopicCancer Immunotherapy and Biomarkers
Canadian institutionsnot available
Fundersnot available
KeywordsImmunotherapyMyeloidTumor microenvironmentImmune systemB cellT cellContext (archaeology)CD40Blockade

Abstract

fetched live from OpenAlex

Abstract Despite recent advances in triple-negative breast cancer (TNBC) biology and new therapies, this aggressive subtype remains difficult to treat. A key obstacle is the immunosuppressive tumor microenvironment (TME), often dominated by myeloid cells that impair anti-tumor immunity. Radiation therapy (RT), used as an in-situ vaccine, enhances tumor immunogenicity and has shown promise when combined with immune checkpoint blockade (ICB) in preclinical and clinical settings1-3. We previously found that combining RT with CTLA-4 blockade and a CD40 agonist antibody (CD40a), which activates myeloid cells, led to profound tumor regression and occasional complete responses in a rapidly metastasizing TNBC mouse model4. However, CD40a did not improve control of lung metastases beyond that achieved with RT and CTLA-4 blockade. In tumors, CD40a induced remodeling of dendritic cell and macrophage populations, along with enrichment in B cell–associated gene signatures. As CD40 signaling can promote either effector or regulatory B cell responses depending on context5, we hypothesized that triple therapy induces organ-specific B cell differentiation that may hinder systemic immune control. We first assessed systemic versus local effects of CD40a on B cells in naïve and tumor-bearing (4T1) mice. In both settings, CD40a expanded splenic B cells and increased MHC-II+ expression. In lungs, tumor implantation alone led to increased B cell infiltration, even without CD40a. However, these lung B cells showed reduced activation in untreated tumor-bearing mice, only partially restored by CD40a, suggesting a distinct, potentially immunosuppressive phenotype. To evaluate this in the context of RT + CTLA-4 blockade + CD40a, we analyzed B cells from lungs and tumors via multiparametric flow cytometry and observed that CD40a consistently shifted B cell profiles across compartments. Among B cells, we identified regulatory B cells (Breg) as expressing TIM1, CD138, CD5, CD39, and FasL. CD40a decreased Breg infiltration in tumors but significantly increased it in lungs. In both tissues, Breg marker expression correlated with tumor or lung burden. Given TIM1’s role in IL-10–producing Bregs—and its capacity to suppress T cells independently of IL-10—6-8 we tested a TIM1-blocking antibody in combination with RT + CTLA-4 blockade + CD40a. While TIM1 blockade did not enhance tumor control, it markedly reduced lung Bregs. Our data highlight organ-specific B cell responses following CD40a-based immunotherapy and suggest that lung-resident Bregs may limit systemic immune efficacy. Ongoing work focuses on defining mechanisms of Breg-mediated suppression and, in collaboration with bioengineers, on developing intra-tumoral delivery strategies to reduce systemic immunosuppressive effects of agents like CD40a. 1-PMID: 29180535 2-PMID: 33476307 3-PMID: 30397353 4-PMID: 37620372 5-PMID: 19265127 6-PMID: 25582854 7-PMID: 31511630 8-PMID: 31685302 Citation Format: Maud Charpentier, David Sprott, Sandra Demaria. Tissue-Specific B Cell Differentiation Limits Anti-Tumor Efficacy of Radiation and Immunotherapy [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Mechanisms of Cancer Immunity and Cancer-related Autoimmunity; 2025 Sep 24-27; Montreal, QC, Canada. Philadelphia (PA): AACR; Cancer Immunol Res 2025;13(9 Suppl):Abstract nr B007.

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.584
Threshold uncertainty score0.645

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.045
GPT teacher head0.377
Teacher spread0.332 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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