Investigating the Role of Inositol Polyphosphate 4-Phosphatase Type II (INPP4B) in Pancreatic Cancer
Bibliographic record
Abstract
Pancreatic cancer is one of the deadliest malignancies, with 5-year survival rates of less than 5%. Survival analyses of pancreatic cancer patient databases revealed that high expression of Inositol Polyphosphate 4-Phosphatase Type II (INPP4B) was associated with poor survival. Thus, we hypothesized that INPP4B promotes pancreatic cancer aggressiveness. Herein, the functional role of INPP4B on pancreatic cancer cell biology was explored in vitro. Analyses of independent patient databases revealed that INPP4B is frequently upregulated in pancreatic tumours compared to normal cells. Exogenous INPP4B expression in vitro enhanced proliferation, anchorage-independent growth, clonogenic potential, migration, invasion, and resistance to gemcitabine, a standard of care agent in pancreatic cancer therapy. Conversely, INPP4B knockdown attenuated these phenotypes. The underlying perturbations in signalling mechanisms associated with INPP4B remain unclear, however these findings support a tumour promoting function for INPP4B in pancreatic cancer, with implications for the development of novel therapy targeting INPP4B.
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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) | 0.001 | 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".