Abstract 3161: The macrolide toxin mycalolide B disrupts actin-driven invasion and metastasis of HER2-positive cancers
Bibliographic record
Abstract
Abstract HER2 is a driver and clinical target in cancers afflicting women. HER2-positive (HER2+) cancers have high rates of metastasis and lower overall survival rates compared to other cancer subtypes. The goal of this study is to test the vulnerability of HER2+ cancer cells and tumors to disruption of their actin cytoskeleton using the marine macrolide toxin mycalolide B (Myc B), as these cells are highly dependent on rapid actin polymerization and remodeling for migration and invasion into new sites of tumor growth. The effects of Myc B treatment on HER2+ breast (HCC1954) and ovarian (SKOV3) cancer cell lines were profiled in assays of cell viability, motility, and invasion. Treatments of Myc B alone or in combination with Trastuzumab were also performed in HER2+ tumor xenograft assays. Myc B showed potent growth suppressive and cytotoxic effects on HER2+ cancer cells at doses in the 70-100 nM range. At sub-lethal doses, Myc B caused a rapid loss of leading edge protrusions, and sustained defects in HER2+ cancer cell motility and invasion. HER2 internalization and killing of HER2+ cancer cells by Trastuzumab-emtansine was not compromised with Myc B treatment. In a HER2+ tumor xenograft model, Myc B treatment alone, or in combination with Trastuzumab, led to significant reductions in tumor growth and metastasis. Together, these findings identify a major vulnerability in metastasis-initiating HER2+ cancer cells to the actin toxin Myc B, and provide a rationale to exploit this vulnerability with the development of new therapeutics targeting actin. Citation Format: Sarah Nersesian, Rodette Williams, Dr. Andrew Evans, Dr. John Allingham, Dr. Andrew Craig. The macrolide toxin mycalolide B disrupts actin-driven invasion and metastasis of HER2-positive cancers [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 3161.
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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".