Tumor–stroma interaction in orthotopic primary pancreatic cancer xenografts during hedgehog pathway inhibition
Bibliographic record
Abstract
To test the effects of hedgehog (Hh) pathway inhibition on the stroma of orthotopically grown primary pancreatic cancer xenografts, and investigate the potential to monitor these effects non-invasively using magnetic resonance imaging (MRI), mice bearing orthotopically grown primary pancreatic cancer xenografts were treated with the Hh neutralizing antibody 5E1. Pathway inhibition was determined by RT-PCR using primer sets for human and mouse Hh pathway genes, and effects on stroma assessed by automated image analysis of tissue sections stained for collagen and α-smooth muscle actin (αSMA). MRI provided quantitative biomarkers of stromal density based on magnetization transfer (MT-MRI) and dynamic contrast enhancement (DCE-MRI). Modest growth inhibition was seen in both models tested using 5E1, but was greater in OCIP19, which showed high expression of mouse Hh pathway genes and an extensive fibrous stroma. However, despite profound inhibition of both mouse and human Hh pathway genes, in neither model did we observe depletion of the stroma. Alignment of MT-MRI ratio images to histological sections showed co-registration with areas of fibrosis, although this was confounded by the presence of tumor necrosis. Due to the lack of stromal depletion by 5E1 it was not possible to determine the utility of MT-MRI for monitoring this effect. Cancer- and stromal cell-derived Hh signaling elements are expressed in orthotopic primary pancreatic cancer xenografts, and selective targeting is growth-inhibitory. In contrast to some recent reports, growth inhibition does not involve attenuation of the tumor stroma, pointing to additional effects of Hh signaling in pancreatic cancer.
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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 | 0.000 | 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) | 0.000 | 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".