Dissociation of Gemcitabine Sensitivity and Protein Kinase B Signaling in Pancreatic Ductal Adenocarcinoma Models
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
OBJECTIVE: To understand the impact of protein kinase B (PKB; Akt) signaling on growth and protection from apoptosis in pancreatic ductal adenocarcinoma models demonstrating differences in PKB activity. METHODS: Gemcitabine sensitivity was investigated in a panel of cell lines, characterized by differences in levels of activated PKB. Suppression of PKB activity was achieved with an inhibitor of phosphatidylinositol 3-kinase (wortmannin) and silencing RNA. RESULTS: Enhanced gemcitabine (2',2'-difluoro-2'-deoxycytidine)-induced cytotoxicity in vitro was achieved with suppression of high PKB activity with wortmannin in BxPC-3, PK-1, and PK-8 cells and silencing RNA targeted to total PKB, rather than PKBbeta, in PANC-1 cells. Opposite to gemcitabine sensitivity levels in vitro, the growth of PANC-1 xenografts was inhibited with gemcitabine treatment, whereas BxPC-3 became drug resistant. Monolayer cell cultures reestablished from solid tumors behaved similarly to original cultures, suggesting that the tumor microenvironment has a critical role in determining drug sensitivity. A comparison of transcript profiles of the models indicated that PKB signaling might be modulated by a number of pathways responsive to the tumor hypoxia microenvironment. CONCLUSIONS: These results suggested that gemcitabine efficacy involving the PKB pathway depends on PKB activity, its mechanisms of enhanced activity, as well as its function in a signaling network.
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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 | 0.001 | 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