Abstract 5613: Enhanced treatment of lung metastasis of triple negative breast cancer by doxorubicin-mitomycin C co-loaded polymer lipid nanoparticles.
Bibliographic record
Abstract
Abstract Background: Treatment of triple negative breast cancer (TNBC) is a big challenge due to its aggressiveness, metastases, lack of therapeutic target and receptor proteins. Our laboratory has developed doxorubicin (Dox) -mitomycin C (MMC) co-loaded stealth polymer lipid hybrid nanoparticles (DMsPLN) and demonstrated their anti-cancer synergy in vitro and high efficacy in vivo. The purpose of this study is to evaluate the biodistribution, in vivo efficacy and safety of DMsPLN in a lung metastatic human TNBC model. Method: Lung metastasis of breast tumor was established using MDA-MB 231-luc-D3H2LN, a luciferase expressing cell line that was derived from spontaneous lymph node metastasis. The cells were injected via tail vein to develop lung metastasis in SCID mice. The biodistribution and tumor accumulation of the nanoparticles were examined by whole animal optical imaging using near infrared fluorescence labeled nanoparticles. The efficacy and systemic toxicity of DMsPLN were evaluated against clinically used doxorubicin (Dox). DMsPLN and free Dox solution were administered intravenously at various equivalent Dox doses. The tumor burden was monitored weekly by bioluminescence imaging. The size and number of tumor nodules in the lungs were examined at different time points and the systemic toxicity was monitored by repeated measurement of body weight. Results: A lung metastatic breast tumor model was successfully developed using the MDA-MB 231-luc-D3H2LN which allowed for non-destructive monitoring of tumor growth and metastases using bioluminescence imaging. Whole animal imaging demonstrated the accumulation of the fluorescent nanoparticles in the lung metastatic site. Treatment with free Dox (10 mg/kg) resulted in severe total body weight loss over 20% which is ruled as a toxic endpoint. However, the DMsPLN (10 mg/kg equivalent Dox dose) group did not show any systemic toxicity. Treatment with DMsPLN at various Dox doses resulted in a reduction in tumor burden compared to the saline and Dox-treated groups. Citation Format: Preethy Prasad, Ping Cai, Andrew Rauth, Xiao Wu. Enhanced treatment of lung metastasis of triple negative breast cancer by doxorubicin-mitomycin C co-loaded polymer lipid nanoparticles. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 5613. doi:10.1158/1538-7445.AM2013-5613 Note: This abstract was not presented at the AACR Annual Meeting 2013 because the presenter was unable to attend.
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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".