Abstract 5911: <i>In vivo</i> efficacy of a novel peptide-conjugated drug in patient-derived xenograft models of breast cancer
Bibliographic record
Abstract
Abstract Introduction: Antibody and peptide-conjugated drugs are rapidly entering the clinic for the treatment of patients with early and advanced breast cancer. These drugs are designed to achieve more targeted delivery of cytotoxic agents to tumor cells with robust clinical activity. ARB-1-6, a sortilin (SORT1) targeted peptide conjugated to the cytotoxic agent MMAE, has demonstrated pre-clinical activity and tolerability in cell line xenografts of breast cancer. To further characterize its spectrum of antitumor activity and biomarker correlates we evaluated ARB-1-6 in a collection of clinically and genomically annotated breast cancer patient-derived xenografts (PDX). Methods: Breast cancer PDX models were generated and propagated under IRB approved protocols [14-8358]. ARB-1-6 was dosed in tumor-bearing SCID mice by tail vein injection at 3 mg/kg weekly x 4 doses. Tumor volume was measured twice weekly until day 35 or until models reached humane endpoints, after which tumors were collected. Animals were weighed regularly and assessed for treatment-related toxicity. Results: 7 models (5 TN and 2 HR) have completed efficacy assessment to date. 3/7 models were derived from treatment naïve patients while 4/7 were derived from pre-treated patients (Table 1). Complete response (mRECIST) was seen in 5/7 (71.4%) models with stable disease occurring in 2/7 (28.6%). ARB-1-6 was well tolerated with no weight loss observed. Complete tumor regression was seen in a PDX derived from a patient with clinical resistance to a TROP2 antibody drug conjugate (ADC). Antitumor activity was observed in models with low SORT1 RNA expression; SORT1 IHC and other correlatives studies are underway. Conclusion: ARB-1-6 demonstrates substantial preclinical activity in PDX models at doses that are well tolerated in mice. Treatment of additional models is ongoing. Full results and correlative analyses including relationships between antitumor activity and target protein expression will be presented. PDX Model Characteristics and Patient Treatment PDX Subtype Pt. Treatment 1 TN AC-T 2 TN FEC-D, Gem+Carbo 3 TN AC-T 4 TN No 5 TN No 6 HR No 7 HR TC, ET, Cape, Gem+Cis, TROP2-ADC Citation Format: Mitchell J. Elliott, Meghan Mcguire, Jennifer Silvester, Chantal Tobin, Samah El Ghamrasni, Francine Lui, Andrew Zhai, Ozge Yoluk, Aron Broom, Tracy Stone, Glenn Butterfoss, Serban Popa, Tianyu Lu, Chris Ing, David White, David W. Cescon. In vivo efficacy of a novel peptide-conjugated drug in patient-derived xenograft models of breast cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 5911.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".