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Abstract P062: The CL2A-SN38 linker-payload system conjugated to trastuzumab results in improved cellular cytotoxicity over time relative to T-DM1

2021· article· en· W4200592628 on OpenAlexaff
Hardeep Singh, Victor Jeffrey Leyton

Bibliographic record

VenueMolecular Cancer Therapeutics · 2021
Typearticle
Languageen
FieldMedicine
TopicHER2/EGFR in Cancer Research
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsLinkerCytotoxicityChemistryConjugateTrastuzumabConjugated systemAntibody-drug conjugateInternalizationProdrugEndosomeCancer cellBiophysicsCombinatorial chemistryBiochemistryMonoclonal antibodyCancerIn vitroAntibodyBiologyIntracellularCell

Abstract

fetched live from OpenAlex

Abstract Background The approved antibody-drug conjugate (ADC) sacituzumab-govitecan (SG) that exploits the topoisomerase I inhibitor SN38, represents a substantial advance in the ADC field. SN38 is the first payload with low nanomolar cytotoxicity. This deviates from current design principles, which utilize ultracytotoxic payloads. The CL2A linker has a short non-cleavable seven polyethylene glycol segment that enables a higher number of hydrophobic SN38 molecules to be attached to reduced cysteines. CL2A is also designed to permit the release of SN38 in an acidic environment via a pH-sensitive benzyl carbonate bond to SN38’s lactone ring. There is no cathepsin B cleavage site. Key to the performance of SG is the SN38 release half-life of 1-2 days. This also deviates from very stable linker systems that require full ADC internalization and lysosomal processing for payload release. As a result of these novel ADC properties, SG is given in higher and repeated doses, which results in slow release at the tumor site and enhanced uptake by target cancer cells and reduced toxicity on healthy cells due to low potency SN38 alone. Our goal is to further evaluate the CL2A-SN38 system when conjugated to trastuzumab. Material and methods Trastuzumab was conjugated to CL2A-SN38 to reduced cysteines (T-SN38). Monitoring the changes in DAR over time was performed to determine the stability of T-SN38 in PBS at pH values of 7.4, 5.72, and 4.58, to mimic circulating blood, early endosomes, and lysosomes, respectively. Cytotoxicity assays for 72 h on HER2-positive ovarian cancer SKOV3.ip and HER2-negative CHO cells were performed and compared to the approved anti-HER2 ADC trastuzumab-emtansine (T-DM1). Cytotoxicity assays were also performed between T-SN38 and T-DM1 at their respective IC50 values and the percent of cell survival determined daily from 24-96 h. Results T-SN38 was generated with a DAR of 6.97. Surprisingly, the half-life of SN38 release in acidic pH was extremely slow (t1/2=~120 h) and at the final evaluated time point (120 h) 69% of SN38 remained conjugated to trastuzumab. As anticipated, as a function of concentration T-DM1 was significantly more potent than T-SN38 (IC50=0.0013 vs 0.0832 mg/mL). However, when cytotoxicity was evaluated as a function of time T-SN38 switched to the more potent ADC at the late time points. T-SN38 killed SKOV3.ip cells 36% more effectively than T-DM1 at 96 h. Conclusions Our data from SN38 release experiments in acidic buffer suggest that pH-induced cleavage of the CL2A linker is not a contributable release mechanism of SN38 when bound to trastuzumab and is counterintuitive for what is currently described for SG. However, traceless release of hydrophobic SN38 capable of traversing cell membranes is only possible by hydrolysis of the benzyl carbonate bond. Our cytotoxicity studies over time suggest that pH-dependent release does occur. Further investigations are ongoing to more precisely determine the contribution of the carbonate bond for SN38 release and cytotoxic potency. Citation Format: Hardeep Singh, Victor Jeffrey Leyton. The CL2A-SN38 linker-payload system conjugated to trastuzumab results in improved cellular cytotoxicity over time relative to T-DM1 [abstract]. In: Proceedings of the AACR-NCI-EORTC Virtual International Conference on Molecular Targets and Cancer Therapeutics; 2021 Oct 7-10. Philadelphia (PA): AACR; Mol Cancer Ther 2021;20(12 Suppl):Abstract nr P062.

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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 score0.003
Threshold uncertainty score0.010

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)0.0030.001

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 head0.036
GPT teacher head0.337
Teacher spread0.301 · 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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Citations3
Published2021
Admission routes1
Has abstractyes

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