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Abstract LB137: Bispecific antibody-based redirection of endogenous IL-15 to PD-1 positive cells enhances antitumor activity over checkpoint inhibition alone

2025· article· en· W4409821181 on OpenAlexaff
Surjit B. Dixit, Mark H. Fogg, Stacey Tom-Yew, Harsh Pratap, Vivian Li, Abhishek Mukhopadhyay, Jason Baardsnes, Yuneivy Cepero Donates, David de Graaf

Bibliographic record

VenueCancer Research · 2025
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmune Cell Function and Interaction
Canadian institutionsNational Research Council CanadaiCo Therapeutics (Canada)
Fundersnot available
KeywordsCancer researchEndogenyBispecific antibodyAntibodyPD-L1ChemistryMedicineCancerImmunologyImmunotherapyInternal medicineMonoclonal antibody

Abstract

fetched live from OpenAlex

Abstract Cytokines have the potential to reinvigorate the immune response against tumors, address shortcomings of checkpoint inhibition and expand the reach of immunotherapy. Yet, development efforts with recombinant cytokines, their engineered muteins and fusion molecules have encountered challenges. We are developing a novel therapeutic modality using bispecific antibodies we refer to as Amplify•R. These antibodies engage the naturally present endogenous cytokines in vivo, enhance persistence of the bound cytokine, while regulating and redirecting its therapeutic effect to target cells of interest. We hypothesize that this modality will overcome limitations such as systemic toxicity, increased immunogenicity, and manufacturing challenges often associated with traditional recombinant cytokine treatment approaches. As a proof of concept, we have designed a panel of bispecific antibodies capable of co-engaging the T and NK cell stimulating cytokine, IL-15, and the immune checkpoint, PD-1. The bispecific antibodies can bind IL-15 and selectively present it to its cognate receptor on PD-1+ cells. In reporter cell-based assays, the panel of antibodies were able to mediate IL-15 signaling in a controlled manner. Further, these bispecific antibodies were as efficient at PD-1 signal blockade as a clinical benchmark. The ability of the bispecific antibodies to stimulate IL-15 dependent STAT5 phosphorylation in human peripheral blood mononuclear cells (PBMC) was tested. In a dose-dependent manner, the bispecific antibodies were able to selectively stimulate pSTAT5 activity in PD-1+ T cells versus NK cells, whereas IL-15 alone stimulated greater pSTAT5 activity in NK cells compared to T cells. The ability of the bispecific antibodies to induce cell proliferation was determined by culturing PBMC in the presence of antibodies complexed with IL-15. After 4 days of culture, a dose dependent expression of Ki67 was detected in CD8+ T cells cultured with bispecific antibodies while they failed to stimulate Ki67 expression in NK cells. These in vitro results demonstrate redirection of IL-15 activity towards PD-1 expressing T cells, and away from NK cells. We have further explored the Amplify•R antibody effect in vivo. Using C57BL/6 mice engineered with human PD1, engrafted with the MC38 colorectal cancer cell line humanized for PD-L1, we observed significantly more efficient control of tumor growth with the bispecific antibodies in the presence of IL-15 relative to pembrolizumab alone or in combination with IL-15. In addition, upon repeated dosing, CD8+ T cells were preferentially expanded over CD4+ and NK cells in the Amplify•R antibody treated animals. In summary, we show that the Amplify•R modality of endogenous cytokine engagement and redirection may be a viable approach in clinic, capable of overcoming limitations encountered with traditional cytokine treatment. Citation Format: Surjit Dixit, Mark Fogg, Stacey Tom-Yew, Harsh Pratap, Vivian Li, Abhishek Mukhopadhyay, Jason Baardsnes, Yuneivy Cepero Donates, David de Graaf. Bispecific antibody-based redirection of endogenous IL-15 to PD-1 positive cells enhances antitumor activity over checkpoint inhibition alone [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 2 (Late-Breaking, Clinical Trial, and Invited Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_2):Abstract nr LB137.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.008

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)0.0020.000

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 head0.044
GPT teacher head0.360
Teacher spread0.316 · 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 designNot applicable
Domainnot available
GenreOther

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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