ALDH1A3 promotes aggressive basal-like pancreatic cancer through an AP-1/RUNX2 enhancer network
Bibliographic record
Abstract
The basal-like transcriptional subtype of pancreatic ductal adenocarcinoma (PDAC) is linked to therapy resistance and poor prognosis. The cancer stem cell marker aldehyde dehydrogenase 1A3 (ALDH1A3) is a critical enzyme in acetaldehyde metabolism, but the interconnection to the basal-like subtype is poorly understood. Here, we identified ALDH1A3 as a key gene, which correlates with reduced survival and increased tumor growth. Functional studies revealed interaction of ALDH1A3 with genes like FAM3C, MCC, PMEPA1, and IRS2, forming a network driving PDAC progression. Chromatin profiling showed that ALDH1A3 affects acetylation of histone 3, mediating AP-1 activity, particularly via FOS family members, activating oncogenic pathways such as MAPK and TNF signaling. RUNX2 emerged as a therapeutic target within this network, as its knockdown disrupted MAPK signaling and reduced tumor growth. These findings emphasize the role of ALDH1A3 in linking nuclear metabolic-epigenetic programming in basal-like PDAC, highlighting it as a promising therapeutic target for novel treatment strategies.
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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) | 0.003 | 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".