Tug of war: Understanding the dynamic interplay of tumor biomechanical environment on dendritic cell function
Bibliographic record
Abstract
Dendritic cells (DCs) play a pivotal role in bridging the innate and adaptive immune systems. From their immature state, scavenging tissue for foreign antigens to uptake, then maturation, to their trafficking to lymph nodes for antigen presentation, these cells are exposed to various forms of mechanical forces. Particularly, in the tumor microenvironment, it is widely known that microenvironmental biomechanical cues are heightened. The source of these forces arises from cell-to-extracellular matrix (ECM) and cell-to-cell interactions, as well as being exposed to increased microenvironmental pressures and fluid shear forces typical of tumors. DCs then integrate these forces, influencing their immune functions through mechanotransduction. This aspect of DC biology holds alternative, but important clues to understanding suppressed/altered DC responses in tumors, or allow the artificial enhancement of DCs for therapeutic purposes. This review discusses the current understanding of DC mechanobiology from the perspectives of DCs as sensors of mechanical forces and providers of mechanical forces.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".