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Abstract B125: Neutralizing acidosis with L-DOS47 urease immunoconjugate enhances responses to anti-PD1 checkpoint blockade in a preclinical orthotopic model of pancreatic adenocarcinoma

2023· article· en· W4389242040 on OpenAlexaff
Bruna V. Jardim‐Perassi, Pietro Irrera, Dominique Abrahams, Christopher J. Whelan, Matthew Beatty, Samantha Byrne, Andrew A Odeja, Dario Livio Longo, Young Ou, Kim Gaspar, Martin Köebel, Shari Pilon‐Thomas, Christof Boehler, Gabrielle M. Siegers, Robert J. Gillies, Arig Ibrahim‐Hashim

Bibliographic record

VenueMolecular Cancer Therapeutics · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer, Hypoxia, and Metabolism
Canadian institutionsHelix Biopharma (Canada)University of Calgary
Fundersnot available
KeywordsCancer researchMedicinePancreatic cancerTumor microenvironmentCancerImmunoconjugatePharmacologyInternal medicineImmunologyAntibody

Abstract

fetched live from OpenAlex

Abstract Background: Acidosis in the tumor microenvironment is an important immunosuppressive mechanism that leads to tumor growth. We have shown that neutralization of tumor pH using sodium bicarbonate improves responses to immune checkpoint blockade (ICB) in pre-clinical models, but phase I/IIa clinical trials failed due to poor patient compliance. Thus, we aimed to test clinically translatable agents to neutralize tumor acidity and improve cancer outcomes in response to ICB. We tested L-DOS47, a targeted urease immunoconjugate designed to directly neutralize tumor acidity that has been well-tolerated in phase I/IIa trials. The nanobody component of L-DOS47 binds carcinoembryonic antigen cell adhesion molecule 6 (CEACAM6), a cell surface protein highly expressed in gastrointestinal and lung cancers; the urease moiety cleaves endogenous urea into two NH4+ and one CO2 thereby raising local pH. Materials and Methods: Immunohistochemistry screening for CEACAM6 expression and L-DOS47 binding was performed on tumor microarrays from pancreatic ductal adenocarcinoma (PDAC) cases (n=10 plus 2 normal tumor adjacent cases). We established a preclinical in vivo PDAC model by orthotopically inoculating human CEACAM6-expressing KPC961 into immunocompetent mice. Pharmacodynamic studies were performed using chemical exchange saturation transfer-magnetic resonance imaging (CEST-MRI) to measure tumor extracellular pH (pHe) at baseline (pre-L-DOS47) and at various time points post-L-DOS47 (4, 18, 24, 48, 72 and 96 hours). Mean tumor pHe and histograms of pHe distributions were compared among groups. Additional biological replicates were conducted to assess therapeutic efficacy. For these experiments, mice were randomized, after measurable tumors are established, into groups with equal tumor volume averages to initiate twice-weekly therapies with 300 µg anti-PD1 or 90 µg/kg L-DOS47 monotherapies, 300 µg anti-PD1 + 90 µg/kg L-DOS47 compared to a control group receiving no therapy. Tumor volumes were measured weekly by ultrasound imaging up to 4 weeks. Results: Immunohistochemistry screening of patient tumor microarrays confirmed high CEACAM6 expression and L-DOS47 binding to PDAC tissues. CEST-MRI results showed that L-DOS47 increased tumor pHe from 4h to 96h post-injection; however, pHe increases were only evident in tumors with baseline pHe ≤ 6.60. Efficacy studies in the PDAC model showed that the combination of anti-PD1 + L-DOS47 significantly reduced tumor growth when compared with control, L-DOS47 and anti-PD1 groups at week 3 (p<.0001; <.0001 and 0.0368, respectively) and week 4 (p<.0001; <.0001 and 0.0142, respectively). Conclusion: These studies provide strong evidence that L-DOS47, by neutralizing acidic tumor pH, significantly improves responses to anti-PD1 immunotherapy. Citation Format: Bruna V Jardim-Perassi, Pietro Irrera, Dominique Abrahams, Christopher J Whelan, Matthew S Beatty, Samantha R Byrne, Andrew A Odeja, Dario L Longo, Young Ou, Kim Gaspar, Martin Koebel, Shari A Pilon-Thomas, Christof Boehler, Gabrielle M Siegers, Robert J Gillies, Arig A Ibrahim-Hashim. Neutralizing acidosis with L-DOS47 urease immunoconjugate enhances responses to anti-PD1 checkpoint blockade in a preclinical orthotopic model of pancreatic adenocarcinoma [abstract]. In: Proceedings of the AACR-NCI-EORTC Virtual International Conference on Molecular Targets and Cancer Therapeutics; 2023 Oct 11-15; Boston, MA. Philadelphia (PA): AACR; Mol Cancer Ther 2023;22(12 Suppl):Abstract nr B125.

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 score0.005

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 head0.044
GPT teacher head0.326
Teacher spread0.281 · 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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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