Abstract B25: Porous silicon microparticles exhibit immunomodulatory effects leading to suppression of tumor growth.
Bibliographic record
Abstract
Abstract Nanoparticles, such as polymeric delivery platforms, can exhibit intrinsic immunostimulant properties, dependent on size, charge, surface modification, and composition. To function as effective adjuvants, a balance between immunostimulatory properties and biocompatibility is essential. We have demonstrated that porous silicon (pSi) microparticles are effective delivery vehicles, with uptake by target cell populations. A peritonitis mouse model was used to access early innate immune responses 24 hours following administration of pSi microparticles. C57BL/6 mice were injected intraperitoneally with microparticles of various shapes and sizes and cytokine production and cell infiltration were assessed. pSi microparticles were found to have proinflammatory effects. The microparticles induced significant leukocyte infiltration into the site of injection and elevated IL-1β levels in lavage fluid. As cancer progresses, immune responses become more tolerant and cancer cells become more refractory to chemotherapies. Select chemotherapeutics, including cyclophosphamide, doxorubicin, and paclitaxel, have immunodulatory effects. Based on the immunopotentiating effects of pSi microparticles, and the ability of monophosphoryl lipid A (MPL) adsorbed pSi microparticles to activate antigen presenting cells, we sought to potentiate the doxorubicin-mediated immune response through co-delivery of MPL-pSi microparticles. When tumors in mice bearing intramammary 4T1-luc breast tumors reached a volume of 100 mm3, mice were injected with doxorubicin loaded liposomes (5 mg/kg) and MPL-pSi microparticles (5x108 microparticles; 10 µg MPL equivalent) by means of tail vein injection. Tumor growth was monitored by calipher measurements and luciferase expression using the IVIS Imaging System 200. While MPL-pSi microparticle-treated mice exhibited reduced tumor growth, mice receiving MPL-pSi microparticles and doxorubicin-loaded liposomes exhibited arrest of tumor growth. Thus pSi microparticles are an attractive immunopotentiating platform, with applications for both drug and antigen delivery. Citation Format: Ismail M. Meraz, Laura Williams, Marie Yang, Edward C. Lavelle, Rita E. Serda. Porous silicon microparticles exhibit immunomodulatory effects leading to suppression of tumor growth. [abstract]. In: Proceedings of the AACR Special Conference on Tumor Immunology: Multidisciplinary Science Driving Basic and Clinical Advances; Dec 2-5, 2012; Miami, FL. Philadelphia (PA): AACR; Cancer Res 2013;73(1 Suppl):Abstract nr B25.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".