Abstract 3224: Targeted non-invasive therapy of prostate cancer using fusogenic liposomes
Bibliographic record
Abstract
Abstract Prostate cancer is the most common cancer in Canadian men. Most chemotherapeutic drugs do not preferentially target the tumour and therefore subject the patient's healthy cells to significant toxicity. There is therefore an urgent need for a novel strategy to deliver chemotherapeutic drugs specifically to the tumour. P14 is a fusion associated small transmembrane (FAST) protein which mediates efficient cell-cell interaction. When we incorporate this p14 FAST protein into liposomes we increase the fusion of the liposome to cell membranes. I hypothesize that targeted ablation of prostate cancer may be achieved by delivering chemotherapeutics encapsulated inside fusogenic liposomes targeted to the gastrin releasing peptide receptors. The objectives of the study are to i) validate the fusogenic properties of p14-containg liposomes ii) express and purify p14-bomesin fusion protein, iii) assemble targeted fusogenic lipsoomes iv) and assess the targeted ablation of human prostate cancer in a xenograft model. To validate the fusogenic properties of p14-containing liposomes in our cell lines, we encapsulated fluorescent dextran inside liposomes containing either no p14, mutant p14 (fusogenic incompetent) or an active p14. We incubated the liposomes on human fibrosarcoma cells (HT1080) and measured the uptake of fluorescent dextran using fluorescent microscopy. To construct a fusion protein, we used PCR amplification to fuse bombesin to the C-terminus of the p14 protein. Our analysis demonstrates that the incorporation of the p14 protein significantly increased the fluorescent dextran uptake in the cytoplasm of the HT1080 cells compared to the liposomes that contained no p14 and the mutant p14. Protein purification of the p14-bombesin fusion protein is still in progress. I propose to use these targeted fusogenic liposomes for future studies to evaluate the ability of bombesin-coated fusogenic liposomes to target prostate cells in vitro and deliver a toxic therapeutic payload to prostate tumours in vivo and assess tumour reduction. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 102nd Annual Meeting of the American Association for Cancer Research; 2011 Apr 2-6; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2011;71(8 Suppl):Abstract nr 3224. doi:10.1158/1538-7445.AM2011-3224
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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) | 0.001 | 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".