Development of a unique mouse model for pancreatic cancer lymphatic metastasis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 it