Notch2 expression in association with pancreatic cancer stem cells
Bibliographic record
Abstract
Objective: To isolate and identify the pancreatic cancer stem cells based on surface marker Notch2. Methods: The Notch2＋ cells in pancreatic cancer Bxpc-3 and Panc-1 cells were separated by magnetic activated cell sorting (MACS) technique. The tumorigenic potent of these cells was evaluated via transplantation of the cells into NOD-SCID mice. Notch2＋ cells were cultured with serum-free medium to detect the tumorsphere formation ability. The expressions of stem cell-related markers—octamer-binding transcription factor 4 (Oct4), Nanog and pancreatic stem cell marker pancreatic and duodenal homeobox 1 (PDX1) in the isolated cells were measured by immunofluorescent staining. The K-ras mutation was detected by DNA sequencing technology. Results: The Notch2＋ cells possessed a markedly tumorigenic ability. The positive expressions of core transcription factors (Oct4, Nanog and PDX1) of embryonic stem cells were observed in these Notch2＋ cells. The Notch2＋ cells were able to form spheres when cultured in serum-free medium. K-ras mutations were found in these cells. Conclusion: The Notch2＋ cells in human pancreatic cancer Bxpc-3 and Panc-1 cells exhibit the properties of cancer stem cells. DOI:10.3781/j.issn.1000-7431.2011.08.006
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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) | 0.002 | 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".