A novel in vitro 3D cancer model based on modular tissue engineering approach
Bibliographic record
Abstract
Abstract An emerging tool to better recapitulate the complexity of tumor biology in vitro is 3D culture models. Here, we describe a free-floating collagen-based hydrogel system with embedded cancer cells, called microtissues. The microtissues are based on the well-established modular tissue engineering method. They mimic the natural development of the tumor microenvironment, with features such as hypoxia and treatment resistance. To demonstrate the utility of microtissues as a 3D tumor model system, triple negative breast cancer cells were cultured using this method and were shown to maintain cell viability and proliferation with minimal cell death, along with mimicking natural emergence of tumor properties such as, a hypoxic core. Furthermore, by screening the model with commonly used anti-breast cancer chemotherapeutics, we observed drug resistance to concentrations which are largely in accordance with the used doses in the clinics. Therefore, our model offers the opportunity to naturally reproduce fundamental features of a tumor in vitro, leading to emergence of a similar cell reprogramming which is responsible for clinical drug resistance.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".