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Record W2740132397 · doi:10.1158/1538-7445.am2017-61

Abstract 61: Zymelink drug conjugate platform: redefining the therapeutic window for ADCs

2017· article· en· W2740132397 on OpenAlexaff
Stuart D. Barnscher, John S. Babcook, Jamie Rich, Geoff Winters, Graham A. E. Garnett, Andrea Hernández, Vincent Fung, Kevin Yin, Kevin J. Hamblett, R. H. Davies

Bibliographic record

VenueCancer Research · 2017
Typearticle
Languageen
FieldMedicine
TopicMonoclonal and Polyclonal Antibodies Research
Canadian institutionsZymeworks (Canada)
Fundersnot available
KeywordsMedicineTrastuzumabPharmacologyTolerabilityAntibody-drug conjugateDrugTherapeutic indexNeutropeniaPharmacokineticsIrinotecanCancerToxicityInternal medicineMonoclonal antibodyBreast cancerAntibodyAdverse effectImmunologyColorectal cancer

Abstract

fetched live from OpenAlex

Abstract Antibody drug conjugates (ADCs) combine the specificity of monoclonal antibodies with potent antineoplastic small molecules, and promise efficacy without the systemic toxicity of chemotherapy. Despite this tremendous potential, most clinical ADCs have failed to provide sufficient therapeutic benefit before the onset of off-target dose-limiting platform toxicities. Here we report the development of proprietary protease cleavable N-acyl sulfonamide linked hemiasterlin and auristatin payloads, Zymelink, that allow the generation of an efficacious ADC platform with improved tolerability. Both Zymelink drug-linkers were conjugated via maleimides to endogenous cysteines. As Zymelink drug-linkers are more polar than maleimide valine citrulline monomethyl auristatin E drug-linker, the resulting ADCs can be produced with potential advantages in PK, efficacy and safety. The resulting ADCs exhibit potent in vitro cytotoxicity. A trastuzumab-based ADC prepared with Zymelink drug-linker and demonstrated at least equivalent efficacy compared to a trastuzumab-based ADC prepared with MMAE, promoting durable complete regressions in a patient-derived xenograft model. Zymelink hemiasterlin and auristatin ADCs were tolerated at 5-6 fold higher doses compared to a MMAE ADC in cynomolgus monkeys. The maximum tolerated dose of the MMAE ADC was just 3 mg/kg based on severe neutropenia. Zymelink hemiasterlin ADC was tolerated at 15 mg/kg with no evidence of neutropenia or elevations in transaminases. Zymelink auristatin ADC was tolerated at 18 mg/kg based on increased levels of transaminases at 24 mg/kg. Moreover, Zymelink ADCs exhibited greater serum exposure at equivalent doses. These results suggest Zymelink ADCs have a greatly expanded therapeutic window compared to MMAE conjugates. Citation Format: Stuart Barnscher, John Babcook, Jamie Rich, Geoff Winters, Graham Garnett, Andrea Hernandez, Vincent Fung, Kevin Yin, Kevin Hamblett, Rupert Davies. Zymelink drug conjugate platform: redefining the therapeutic window for ADCs [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 61. doi:10.1158/1538-7445.AM2017-61

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.257
GPT teacher head0.486
Teacher spread0.229 · 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

Citations2
Published2017
Admission routes1
Has abstractyes

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