Abstract 1864: Pharmacologic inhibition of NAMPT sensitizes pancreatic cancer cells to the antineoplastic effects of metformin
Bibliographic record
Abstract
Abstract The use of the anti-diabetic drug metformin has been correlated with a reduced cancer incidence, suggesting an unexpected anti-neoplastic activity for this compound. Since metformin treatment is safe and economical, there is considerable interest in exploring its anticancer activity in patients. Pancreatic cancer (pancreatic ductal adenocarcinoma: PDAC) is one of the most aggressive neoplastic diseases, for which there is no treatment significantly increasing patient's survival. Metformin use was associated with reduced pancreatic cancer incidence or better survival in diabetics. In vitro, metformin decreases cell survival and growth of pancreatic cancer cells and appears to target tumor-initiating cells. In vivo, metformin decreases growth of human pancreatic cancer cell lines xenografts in mice. However, clinical trials using metformin failed to decrease pancreatic cancer progression in patients, raising important questions about molecular mechanisms that protect tumor cells from the antineoplastic activities of metformin. We discovered a new mechanism of resistance to the anti-oncogenic properties of metformin in PDAC cells through up-regulation of NAMPT and increase of NAD+ synthesis. Using an inhibitor specific to NAMPT, FK866, we sensitized PDAC cells to the effects of metformin in vitro. In vivo, FK866 increased the efficiency of metformin treatment on KP4 cells xenografts. As both metformin and FK866 clinical trials have failed to efficiently treat cancer, the combination of these two compounds may be a promising strategy to treat pancreatic cancer and maybe other malignancies. Citation Format: Gerardo Ferbeyre, Maxime Parisotto, Marie-Camille Rowell, Véronique Bourdeau, Andreea R. Schmitzer. Pharmacologic inhibition of NAMPT sensitizes pancreatic cancer cells to the antineoplastic effects of metformin [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 1864.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".