CISPLATIN RELEASE CHARACTERISTICS FROM AMORPHOUS CALCIUM POLYPHOSPHATE MATRICES FOR THE ADJUNCTIVE TREATMENT OF ORAL SQUAMOUS CELL CARCINOMA
Bibliographic record
Abstract
Cisplatin is an effective chemotheraputic agent for head and neck squamous cell\ncarcinoma particularly in conjunction with radiation therapy. Unfortunately, its cytotoxic\nprofile and associated systemic side effects limit its clinical efficacy. A localized\ndelivery system was developed for cisplatin by processing calcium polyphosphate (CPP)\nin a multistep gelling protocol, with the goal of limiting its systemic toxicity and\nenhancing its overall clinical applicability. In addition, a novel method for processing the\nmaterial was examined utilizing cold isostatic pressure (CIP) to allow for miniaturization\nof the system into an implantable device. The integration of cisplatin into the matrix was\nexamined for efficient and dose dependent loading via dissolution of the final product\nand measurement of platinum concentrations by inductively coupled plasma optical\nemission spectrometry (ICP-OES). Drug release was measured in vitro by placing the\nCPP-cisplatin matrix into TRIS buffer solution while measuring the platinum\nconcentration at given intervals from 0.5 hours to 14 days. The cytotoxicity of the\ncisplatin against L1210 cells was examined using an MTT assay following a 12-hour\nelution. The material demonstrated a predictable and dose dependent loading of cisplatin,\nalthough the release of the drug showed variability exemplified by a more pronounced\nburst release with aging of the stock CPP glass particulate. The CPP/cisplatin matrix\nexhibited cytotoxic effects after processing. This work suggests that further evaluation of\nthis material as a matrix for cisplatin delivery should be undertaken in an attempt to\nnormalize release, maximize the concentration within the system and further optimize the\nbead format in order to improve the potential for clinical usage.
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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".