Abstract 756: Development of next-generation antibody-drug conjugates for resistant HER2-positive tumors
Bibliographic record
Abstract
Abstract Antibody-Drug Conjugates (ADC) represent a promising therapeutic modality for improving the clinical management of cancer. However, there now exists resistant mechanisms by cancer cells that are effective at ultimately reducing the cellular accumulation of the delivered drug and hence, reducing cytotoxic effectiveness. Kadcyla® (trastuzumab-emtansine [T-DM1]) is a benchmark as it is the first solid-tumor approved ADC. Despite this new therapeutic option, approximately 43% of patients achieve complete or partial response and most who initially respond develop resistance soon after. In order to transform current ADCs to more effective products improved intracellular delivery strategies could provide solutions. Our group developed is a natural composite compound (termed Accum) that conjugates to surface lysines and enables antibodies to escape endosomal entrapment followed by active routing to the nucleus. Modified antibodies retain high tumor cell selectivity, enhanced cellular accumulation, and improved tumor delivery of molecular payloads in vivo. We asked whether the modification of Accum-modified T-DM1 maintained its intracellular delivery mechanism and cytotoxic effectiveness in T-DM1-resistant cells. The cancer cell lines N87, OE19 (gastric), JIMT1, SK-BR-3 (breast), SKOV3 and SKOV3.IP1 (ovarian) were treated with increasing concentrations of T-DM1 in a 3 day on, 10 days off fashion for a period of 1 to 2 months. Resistant clones were identified. Parental and resistant cells were placed and passaged in SILAC (Stably Labeled Amino acid for Cell culture) media for proteomic analysis by liquid chromatography tandem mass spectrometry (LC-MS/MS). Cells were also treated with Accum-T-DM1 and mechanistic underpinnings determined. The IC50 of Accum-T-DM1 was increased 50- and 10-fold relative to T-DM1 in parental OE19, and JIMT1 cells, respectively. T-DM1 resistant cell lines were successfully generated for each tumor type. Typically, the T-DM1 IC50 values were increased ≥100-fold in resistant cells compared to parental cells. Preliminary proteomic studies revealed HER2 expression is marginally reduced in resistant cells. IP of Accum-T-DM1 co-precipitated showed the interaction with α-importin. This study is a work in progress of modifying T-DM1 with Accum and demonstrating enhanced cytotoxicity in T-DM1 resistant HER2-positive tumor cells. Ongoing studies will determine DM1 accumulation levels, potential resistance mechanisms, and ultimately cytotoxic effectiveness. Citation Format: Vincent Lacasse, Jeffrey V. Leyton, Simon Beaudoin, Mark Barok, Heikki Joensuu. Development of next-generation antibody-drug conjugates for resistant HER2-positive tumors [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 756.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".