FBP1, A Tumor Suppressor and Negative Regulator of Glycolysis, was Epigenetically Silenced in Pancreatic Cancer
Bibliographic record
Abstract
Background: Pancreatic cancer is characterized by severe hypoxic regions, and in order to survive and proliferate under such adverse tumor microenvironment with limited supplies of nutrients and oxygen, pancreatic cancer cells must rely on their ability to reprogram canonical metabolic pathways. Thus, the understanding of pancreatic cellular metabolic transformation could shed light on the discovery of novel therapeutic approaches. Methods: The physiological role of FBP1 (Fructose-1,6-bisphosphatase 1) in pancreatic cancer proliferation and glycolysis was assessed by lentivirus mediated introduction of this enzyme into PANC-1 cells. Subsequently, the reasons accounted for the down-regulation of FBP1 were explored. Results: FPB1 was a negative regulator of pancreatic cancer cell proliferation and invasiveness. Moreover, it plays an adverse role in glycolysis by reduction in glucose uptake, lactate production and transcription in key glycolytic genes. In the end, our preliminary data indicates that FPB1 was epigenetically silenced in PANC-1 cells through DNA methylation and chromatin modifications. Conclusion: FBP1 is a negative regulator of pancreatic cancer cell proliferation, invasion and glycolysis. Moreover, FBP1 was epigenetically silenced through DNA methylation and chromatin modification. Keywords: Epigenetic regulation, FBP1, glycolysis, 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.
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) | 0.001 | 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".