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Record W4282974171 · doi:10.1158/1538-7445.am2022-1076

Abstract 1076: The peptide-drug conjugate TH1902 inhibits growth of subcutaneous melanoma xenografts and formation of lung metastases in a syngeneic mouse model

2022· article· en· W4282974171 on OpenAlexaff
Michel Demeule, Jean-Christophe Currie, Cyndia Charfi, Alain Zgheib, Sophie Kozelko, Richard Béliveau, Christian Marsolais, Borhane Annabi

Bibliographic record

VenueCancer Research · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtein Degradation and Inhibitors
Canadian institutionsUniversité du Québec à MontréalTheratechnologies (Canada)
Fundersnot available
KeywordsDocetaxelMelanomaMedicineLungCancer researchSubcutaneous injectionCancerLung cancerPharmacologyPathologyInternal medicine

Abstract

fetched live from OpenAlex

Abstract Syngeneic mouse models provide an effective approach for studying how cancer therapies perform in the presence of a functional immune system. Here TH1902, a peptide-drug conjugate (PDC) which consists of two molecules of docetaxel attached by a cleavable succinyl linker to a peptide (TH19P01) that targets the scavenger receptor sortilin (SORT1), was investigated using subcutaneous implantation of murine B16-F10 melanoma cells within the flanks of syngeneic C57BL/6 mice. Tumor growth was at most inhibited by half upon weekly administration of docetaxel compared to vehicle-treated mice, while administration of TH1902 was well tolerated and led to tumor regression. The B16-F10 SORT1-expressing melanoma cell line is also known to produce distant lung metastases when injected intravenously into the mice. Tail vein injection of these cells (1.25x105 cells per implantation) created a model system for evaluating TH1902’s effects on metastatic nodules formation. Each implantation produced 70 to 100 visible, black surface nodules on the lungs at 13 days following cancer cell implantation, appropriate for nodule quantification. No black nodules were detected elsewhere within the mice tissues other than those detected in the lungs. This model was next used to demonstrate that the formation of lung metastases could be sharply curtailed by bi-weekly intravenous administration of either 10 mg/kg docetaxel or 23 mg/kg TH1902 (equivalent to the docetaxel injection in terms of docetaxel content) during this period. Administration of docetaxel routinely decreased the number of metastatic lung nodules by about 50%, whereas administration of TH1902 decreased the number of nodules by more than 85%. Similar results were obtained whether the test articles were administered i) one time as a bolus at one hour prior to implantation of the cells, ii) as a bolus twice weekly beginning 3 days post-implantation, or iii) both prior to and following implantation as described. Although little weight loss was recorded over the 13-day treatment duration, all TH1902-treated mice showed better tolerability profile in terms of weight compared to docetaxel for all conditions tested. In a subsequent experiment using prolonged administration at the same dosage (up to 24 days of treatment), TH1902 was able to inhibit metastatic formation over a longer period compared to docetaxel. In fact, after six cycles of treatment, TH1902-treated mice significantly sustained its inhibitory effect on melanoma lungs metastasis formation (-77%) whereas docetaxel was unable to maintain its effect (-7%). Moreover, considerable weight loss was associated with docetaxel treatment over 24 days while TH1902 treatments resulted in no net change in mouse body weights. In this syngeneic model, TH1902 is more tolerated and effective than docetaxel at inhibiting both melanoma xenograft growth and metastatic formation. Citation Format: Michel Demeule, Jean-Christophe Currie, Cyndia Charfi, Alain Larocque, Alain Zgheib, Sophie Kozelko, Richard Béliveau, Christian Marsolais, Borhane Annabi. The peptide-drug conjugate TH1902 inhibits growth of subcutaneous melanoma xenografts and formation of lung metastases in a syngeneic mouse model [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 1076.

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 score0.002
Threshold uncertainty score0.007

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)0.0020.001

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 head0.030
GPT teacher head0.316
Teacher spread0.287 · 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".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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