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Record W4415373268 · doi:10.3389/fimmu.2025.1688281

The 41BB-agonist potentiates the therapeutic efficacy of a combined irreversible electroporation ablation treatment of lung cancer by promoting unexpected CD8+CD103+ cDC1 and tissue-resident memory T cell responses

2025· article· en· W4415373268 on OpenAlexaff
Fang Chen, Zhaojia Wu, Scot C. Leary, Yiling Bai, Michelle Yu, Nicolas Baniak, Shahid Ahmed, Gary Groot, Mike Moser, Wenjun Zhang, Bing Zhang, Junqiong Huang, Haitao Ma, Yu F, Jim Xiang

Bibliographic record

VenueFrontiers in Immunology · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicrobial Inactivation Methods
Canadian institutionsSaskatchewan Cancer AgencyUniversity of Saskatchewan
Fundersnot available
KeywordsLung cancerElectroporationImmunotherapyFlow cytometryIrreversible electroporationT cellRegimenCancer immunotherapyTumor microenvironment

Abstract

fetched live from OpenAlex

Irreversible electroporation (IRE) is a relatively new, non-thermal ablation technology for cancer treatment that requires further investigation to optimize its therapeutic efficacy. To improve IRE-ablation, we developed an IRE+Combo-treatment regimen that included the Combo adjuvants poly-I:C (pIC)/CpG, anti-PD-L1 antibody (PD-L1-Ab) and the 41BB-agonist, and investigated its anti-tumor immunity in a 3LL OVA lung cancer model. We demonstrated that inclusion of the 41BB-agonist in the IRE+Combo-ablation stimulated a more efficient CD8 + T cell response (5.3%) than that observed in the absence of 41BB-agonist (3.0%) or upon IRE ablation alone (0.4%), leading to eradication of subcutaneous 3LL OVA cancer in 75% of 3LL OVA -bearing mice. We further showed that the IRE+Combo-treatment regimen resulted in the eradication of both 3LL OVA cancer and lung tumor metastases. Interestingly, our flow cytometry analyses argued that addition of the 41BB-agonist to the IRE+Combo-ablation stimulated a higher frequency of novel CD8 + CD103 + conventional type-1 dendritic cells (cDC1) (14.4%) in tumor-drainage lymph-nodes (TDLNs) relative to control IRE+CpG/pIC/PD-L1-Ab- (7.5%) and IRE- (4.0%) treatment groups. This novel cDC1 subpopulation exhibited the most robust expression of DC maturation markers and costimulatory 41BBL and 41BB of all cDC1 subsets. The 41BB-agonist also stimulated a higher frequency of 41BB + CD103 + TCF-1 + tissue-resident memory T (T RM ) cells (14.5%) in TDLNs when compared with the two control (2.6% and 0.3%) treatment groups. Importantly, the IRE+Combo-treatment regimen was more efficient than the two control groups at converting the immunosuppressive tumor microenvironment (TME), an effect that was mitigated by reducing the frequency of inhibitory myeloid-derived suppressive cells while increasing that of immunogenic cDC1 and CD8 + T cells and rescuing T cell exhaustion. Taken together, our data establish that the 41BB-agonist potentiates the efficacy of IRE+Combo-therapy for lung cancer treatment by promoting unexpected cDC1 and T RM cell responses, and emphasize the importance of targeting this promising molecular signal to improve current cancer IRE-ablation protocols.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

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)0.000
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.339

Codex and Gemma teacher scores by category

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

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 head0.006
GPT teacher head0.280
Teacher spread0.274 · 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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