Abstract 2192: Fusogenic targeted liposomes as next-generation nanomedicine for prostate cancer
Bibliographic record
Abstract
Abstract Metastatic or castrate-resistant is the second-leading cause of cancer mortality in males. In the past 3 years, chemotherapies have extended survival, but efficacy is limited by dose-limiting toxicities due to suboptimal biodistribution. We address the lack of specificity and accumulation in Castrate Resistant Prostate Cancer (CRPC) by developing a unique nano-carrier for drug delivery: targeted fusogenic liposomes. We have developed a platform whereby liposomes are formulated with fusion associated small transmembrane protein p14 displaying targeting ligands. The p14 protein catalyzes mixing of the liposomal bilayer with cell membranes to deliver the cargo directly into the cytoplasm, while the targeting ligand bombesin, allows for targeting to the Gastrin-releasing Peptide (GRPR) that is overexpressed in prostate cancer. We hypothesized that this novel targeted fusogenic liposome formulation would significantly improve the biodistribution and efficacy of chemotherapy. A clinical liposomal doxorubicin formulation (DOXIL) was modified to incorporate targeted fusogenic p14 protein. We then evaluated the efficacy and biodistribution of these new formulations using in vitro and in vivo models of CRPC. In PC3 cells, compared to conventional liposomes, intracellular levels of doxorubicin are increased by 15 and 25 times when p14 or p14-bombesin liposomes are used. Additionally, the IC50 is reduced from 85mM to 2mM. In mice bearing PC3 tumors treated with targeted fusogenic liposomal doxorubicin, we observed tumor growth inhibition of 57% (vs control). This establishes a proof of concept for an innovative targeted drug delivery system that may improve the outcome of patients with CRPC by enhancing the effect of approved drugs. Citation Format: Jihane M. Mriouah, Rae Lynn Nesbitt, Deborah Sosnowski, Desmond Pink, Roy Duncan, Andries Ziljstra, John D. Lewis. Fusogenic targeted liposomes as next-generation nanomedicine for prostate cancer. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 2192.
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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 | 0.001 |
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".