GATA6: A Molecular Regulator of Pancreatic Tumour Growth and Phenotype
Bibliographic record
Abstract
Pancreatic ductal adenocarcinoma (PDAC) has been classified into two main transcriptional subtypes, Basal-like and Classical. The Classical subtype correlates with GATA6 expression, and ~16% of tumors show amplification in GATA6. The goal of this project is to understand the role of GATA6 as a molecular regulator of the Classical subtype. Competition assays show loss of GATA6 reduced cell fitness. Gene expression analysis showed GATA6 was integral in maintaining Classical gene expression and loss led to shifts towards more Basal-like expression and pathways. Despite a transcriptional shift towards Basal-like expression, phenotypic characteristics of the Basal-like subtype were notably absent (i.e., no EMT, MYC expression, or aggressive growth). This data suggests that loss of GATA6 is not sufficient to cause a full Basal-like phenotype and may lead to a transitional state that does not offer the same growth advantages as being in a full Basal-like state.
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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".