Development of a unique mouse model for pancreatic cancer lymphatic metastasis
Bibliographic record
Abstract
Lymphatic metastasis of pancreatic cancer is a predictor of poor prognosis. However, the molecular mechanisms are largely unknown, thus, making the development of appropriate cell lines and experimental models critically important for future investigations. The purpose of the present study was to establish a 'pancreatic cancer cell and mouse model with high lymphatic metastasis potential' for in-depth study of the underlying mechanisms. The BxPC-3-LN subline, derived from the BxPC-3 human pancreatic cancer cell line, was established through serial passages in nude mice via footpad injections. The subline was able to develop notable lymphatic metastases in 100% of the recipient mice 8 weeks after tumor cell implantation. Compared with the parental BxPC-3 cells, BxPC-3-LN cells were more aggressive, displaying invasive ultrastructure, increased migration and invasion ability, and chemoresistance. Metastasis-related gene alteration including upregulation of MMP14, MMP24, MIF and ADRM1, and downregulation of TGFB2 and ROBO1 were also observed in BxPC-3-LN cells by cDNA microarrays. Thus, the newly selected BxPC-3-LN subline can serve as a unique model for further study of lymphatic metastasis of pancreatic cancer.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".