Differentiation of immature DCs into endothelial-like cells in human esophageal carcinoma tissue homogenates
Bibliographic record
Abstract
We previously reported endothelial-like differentiation (ELD) of immature dendritic cells (iDCs) in the microenvironment derived from EC9706 human esophageal squamous cell carcinoma conditioned medium (CM). However, the CM is far different from the esophageal carcinoma tissue of patients. In addition, the potential role of peri-esophageal carcinoma in the ELD of iDCs is also unknown. In the present study, we showed that the tumor microenvironment derived from esophageal carcinoma homogenate promoted iDCs to differentiate from the DC pathway toward endothelial cells, while the peri-esophageal carcinoma homogenate did not have this function. During the course of ELD, ERK signaling pathway and CREB were activated. Blocking MEK, both the phosphorylation of ERK and CREB, and the ELD of iDCs were inhibited. These data suggest that esophageal carcinoma tissue, not peri-esophageal carcinoma tissue, can drive iDCs to differentiate into endothelial-like cells, instead of differentiation into mature DCs, thereby losing the ability of antigen presentation.
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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".