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Abstract A005: Synergistically Engaging a b-Selective IL-2 Agonist with PD1/PDL-1 Blockade in a Bifunctional Superkine, MDNA223

2023· article· en· W4389240203 on OpenAlexaboutno aff
Anchal Sharma, Minh D. To, Hardeep Kataria, Qian Liu, Rosemina Merchant, Fahar Merchant

Bibliographic record

VenueCancer Immunology Research · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer, Hypoxia, and Metabolism
Canadian institutionsnot available
Fundersnot available
KeywordsCD8In vivoCancer researchPharmacologyFlow cytometryCancer immunotherapyPeripheral blood mononuclear cellTumor-infiltrating lymphocytesChemistryImmunotherapyAgonistBlockadeT cellIn vitroMedicineReceptorImmunologyImmune systemBiologyBiochemistry

Abstract

fetched live from OpenAlex

Abstract Introduction: Combination treatment with a long-acting IL-2 superkine (MDNA109FEAA-Fc; aka MDNA19) and anti-PD1 or anti-CTLA4 has shown clear evidence of synergy in blunting tumor growth. To further leverage this synergism, we designed MDNA223, a BiSKIT (Bifunctional SuperKine for ImmunoTherapy) comprising MDNA109FEAA with enhanced affinity for IL-2Rb and no binding to IL-2Ra, fused to either human or mouse anti-PD1. We present in vitro and in vivo characterization of MDNA223 and demonstrate its enhanced IL-2R agonism and effective PD1/PDL-1 blockade in multiple “hot” and “cold” syngeneic tumor models. Experimental Procedure: In vitro studies included human PBMCs and cell-based reporter assays. In vivo studies were conducted in CT26, B16F10, E0771 and TRAMP-C1 tumor models by intraperiotonneal (IP) administration. Intratumoral treatment was performed in a CT26 bilateral tumor model with or without a STING agonist. Analysis of tumor infiltrating lymphocytes (TILs) was performed using flow cytometry. Results: In studies with human PBMCs, MDNA223 showed increased p-STAT5 signaling in CD8+ T cells and reduced activity in Tregs compared to rhIL-2, consistent with its enhanced receptor selectivity. MDNA223 and anti-PD1 were similarly potent at PD1/PDL-1 blockade in a cell-based reporter assay. In mice, MDNA223 induced proliferation (based on Ki67 expression) and expansion of peripheral CD8+ T cells for over 7 days. IP treatment with MDNA223 resulted in significantly greater inhibition of CT26, B16F10, E0771 and TRAMP-C1 tumor growth when compared to combination of MDNA19 with anti-PD1 at equimolar dosage. This observation is consistent with the proposed cis-binding mechanism of MDNA223 to both, IL-2R and PD1 on the same effector immune cell. In a bilateral CT26 tumor model, IT treatment with MDNA223 not only inhibited the treated tumor but also exhibited an abscopal effect by slowing growth of the untreated tumor implanted on the opposite flank. TILs analysis of B16F10 melanoma following a single dose of MDNA223 showed increased infiltration of CD8+ T cells over Tregs compared to single agent treatment with MDNA19 or anti-PD1 as well as their combination. Treatment with MDNA223 also resulted in a larger population of functional effector CD8+ T cells expressing low levels of the Tim-3 exhaustion marker and high levels of the cytotoxic Granzyme-B protease. Conclusion: MDNA223 demonstrated superior therapeutic activity over the combination of MDNA19 and anti-PD1 in both immunologically ‘hot’ (CT26) and ‘cold’ (B16F10, E0771 and TRAMP-C1) tumor models. Additional studies with variants of MDNA223 capable of tumor selective targeting and/or conditional activation within the tumor micro-environment are in progress to maximize activity at the tumor site with tunable peripheral stimulation. Citation Format: Aanchal Sharma, Minh D To, Hardeep Kataria, Qian Liu, Rosemina Merchant, Fahar Merchant. Synergistically Engaging a b-Selective IL-2 Agonist with PD1/PDL-1 Blockade in a Bifunctional Superkine, MDNA223 [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Tumor Immunology and Immunotherapy; 2023 Oct 1-4; Toronto, Ontario, Canada. Philadelphia (PA): AACR; Cancer Immunol Res 2023;11(12 Suppl):Abstract nr A005.

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)0.001
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 score0.844
Threshold uncertainty score0.925

Codex and Gemma teacher scores by category

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

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 head0.040
GPT teacher head0.344
Teacher spread0.304 · 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
Published2023
Admission routes1
Has abstractyes

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