Preclinical Investigations of Drug and Radionuclide Conjugates of Bisphosphonates for the Treatment of Metastatic Bone Cancer
Bibliographic record
Abstract
The potential targeting of therapeutic bisphosphonate conjugates to bone metastatic lesions was evaluated in vivo in mice. A bisphosphonate conjugate with 5-fluorouracil was synthesized as a potential chemotherapy agent, and a bisphosphonate conjugate with diethylenetriaminepentaacetic acid (DTPA) was prepared as a potential carrier of cytotoxic radionuclides. The compounds are hypothesized to be able to deliver either high doses of radiation or a high concentration of chemotherapy agents at sites of increased osteoclastic activity in patients with bony metastases while exhibiting minimal toxicity to normal tissues. Tissue distribution studies with the 99mTc-labeled bisphosphonate conjugates with DTPA and 5-fluorouracil showed rapid blood clearance and excretion of unbound activity, clearance from most tissues, and substantial retention of the bisphosphonates in bone. For the DTPA conjugate, activity in the bone represents 13.6% of the total injected dose at 8 hours following injection, representing 54.3% of the total whole-body activity at this time period. Under the same conditions, the 5-fluorouracil conjugate showed a 17.1% bone uptake at 60.2% of the whole-body activity. This normal bone uptake predicts that high concentrations of conjugates are expected to be achieved at sites of bone metastatic disease. Chemotherapy and radiotherapy studies with these compounds in animal models of metastatic bone cancer are underway.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".