Abstract 5099: Abrogation of cancer cell extravasation in renal cell carcinoma PDX lines via invadopodia dysregulation mediated by PAK1 inhibitors
Bibliographic record
Abstract
Abstract Cellular remodeling of the extracellular matrix (ECM), facilitating tumour cell invasion, is a key intrinsic quality in metastatic cells. Invadopodia are actin-driven protease-rich subcellular membrane protrusions formed by tumor cells for localized degradation and remodeling of the ECM. Invadopodia mediate tumor cell extravasation, a key step in the metastatic cascade in which tumor cells undergo transendothelial migration when arrested at distant sites. Using several PDX cell lines, we determine that treatment with PAK1 inhibitors leads to significantly decreased rates of cancer cell extravasation in vivo (IPA-3, 1 uM final concentration) with no impacts on cell viability in vitro. Interestingly, in vitro, there was no significant change in the number of cells forming invadopodia; however, there was more gelatin degradation per cell as determined by in vitro gelatin-Alexa594 invadopodia assays. Time lapse imaging of invadopodia formation in PDX cell lines reveal a decrease in invadopodia disassembly in vitro, resulting in alterations to adhesions to maintain tumor cell anchorage to the CAM vessel wall in vivo. These results reveal the feasibility of targeting extravasation through other mechanisms whilst impairing invadopodia disassembly prior to cancer cell transportation to the underlying tissue. Citation Format: Karla Williams, Clarisse Mazzola, James Brugarolas, Nicholas Power, Ann Chambers, Hon Leong. Abrogation of cancer cell extravasation in renal cell carcinoma PDX lines via invadopodia dysregulation mediated by PAK1 inhibitors. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 5099. doi:10.1158/1538-7445.AM2015-5099
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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 | 0.001 |
| 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".