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Record W4408362108 · doi:10.1158/2326-6066.cir-24-0758

IL-15 Complex Enhances Agonistic Anti-CD40 + Anti-PDL1 by Correcting the T-bet to Tox Ratio in CD8+ T cells Infiltrating Pancreatic Ductal Adenocarcinoma

2025· article· en· W4408362108 on OpenAlexafffund
Zoe C. Schmiechen, Hezkiel A. Nanda, Adam L. Burrack, Grant H. Hickok, Jonah Z. Butler, Eduardo Cruz-Hinojoza, Nicholas J. Maurice, Michael J. Geuenich, Chengxin Yu, Alexander K. Tsai, Cara-lin Lonetree, Madeline A. Ellefson, Audrey L. Hilk, Brandon M. Larsen, Ebony A. Miller, A. Rizzo, Kieran R. Campbell, Steven S. Shen, Ingunn M. Stromnes

Bibliographic record

VenueCancer Immunology Research · 2025
Typearticle
Languageen
FieldMedicine
TopicCAR-T cell therapy research
Canadian institutionsVector InstituteAmgen (Canada)Lunenfeld-Tanenbaum Research InstituteOntario Institute for Cancer ResearchUniversity of Toronto
FundersNational Center for Advancing Translational SciencesNational Institute on AgingCongressionally Directed Medical Research ProgramsNational Institute of Allergy and Infectious DiseasesNatural Sciences and Engineering Research Council of CanadaAmerican Cancer SocietyCanadian Institutes of Health ResearchNational Cancer InstituteNational Institutes of HealthPancreatic Cancer Action Network
KeywordsCD8CD40T cellCancer researchCytotoxic T cellBiologyImmunologyAntigenImmune systemGeneticsIn vitro

Abstract

fetched live from OpenAlex

Agonistic anti-CD40 with anti-PD-1 can elicit objective responses in a small number of patients with pancreatic ductal adenocarcinoma (PDA). Better understanding of their individual effects on the pancreatic tumor microenvironment will help inform new strategies to further improve outcomes. In this study, we map tumor-specific CD8+ T-cell differentiation following agonistic anti-CD40 and/or anti-PDL1 in PDA. Rare Tcf1+Slamf6+ tumor-specific CD8+ T cells are identified and likely seed memory precursors that transition into exhausted or effector T cells. In tumors, anti-PDL1 drove the clonal expansion of Gzmk+ progenitor exhausted CD8+ T cells, whereas anti-CD40 promoted CD4+ T-cell clonal expansion and accumulation of Tcf1+Slamf6+ CD8+ T cells. Cloning the most frequent intratumoral T-cell receptors revealed identical neoepitope specificity, yet the top T-cell receptors from anti-PDL1 ± anti-CD40 cohorts lacked tetramer binding, suggesting lower affinity. Anti-CD40 + anti-PDL1 markedly drove the clonal hyperexpansion of a unique exhausted T-cell subset in the spleen. Exhausted T cells were enriched for IL-2Rβ, and provision of IL-15 complex (IL-15C) mitigated systemic and intratumoral T-cell exhaustion when combined with anti-CD40 + anti-PDL1, resulting in enhanced antitumor effects, prolongation of animal survival, and resistance to orthotopic tumor rechallenge. Mechanistically, anti-CD40 + anti-PDL1 decreased Tox, whereas IL-15C + anti-CD40 + anti-PDL1 increased T-bet, thereby conferring a higher T-bet:Tox ratio in tumor-specific CD8+ T cells. Collectively, agonistic anti-CD40 + anti-PDL1 drove systemic and intratumoral CD8+ T-cell clonal expansion and acquisition of exhaustion features in a tissue-specific manner. Provision of IL-15C altered the trajectory of T-cell differentiation induced by immunotherapy, resulting in PDA eradication and long-lived antitumor memory T cells.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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 integrity0.0000.001
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 head0.067
GPT teacher head0.400
Teacher spread0.333 · 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 source (direct Gemma or distilled Codex), 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

Citations6
Published2025
Admission routes2
Has abstractyes

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