A novel 3D in vitro tissue model for bone‐metastasized breast cancer: A preclinical tool in drug discovery and testing
Bibliographic record
Abstract
Abstract Bone metastasis is a frequent occurrence following breast cancer. The bone‐tumor microenvironment is heterogeneous and complicated to recapitulate. The development of new chemotherapeutics is ineffective partly due to a lack of precise in vitro tissue models. We developed a three‐dimensional (3D) bone‐tumor interface model for customized chemotherapeutic screening. It comprises a plasma‐modified electrospun mat seeded with osteoblasts to mimic a bone tissue, with a cell‐seeded hydrogel layer containing more and less aggressive or noncancerous cells on top, mimicking the tumor compartment. By screening the model with doxorubicin, we observed different migratory behaviors, with IC50 values that were largely in accordance with those cell lines' characteristics. Our 3D model reproduces the bone microenvironment and has great potential as a drug screening tool for personalized medicine.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".