P1 promoter-driven HNF4α isoforms are specifically repressed by β-catenin signaling in colorectal cancer cells
Bibliographic record
Abstract
HNF4α is a key nuclear receptor for regulating gene expression in the gut. Although both P1 and P2 isoform classes of HNF4α are expressed in colonic epithelium, specific inhibition of P1 isoforms is commonly found in colorectal cancer. Previous studies have suggested that P1 and P2 isoforms might regulate different cellular functions. Despite these advances, it remains unclear whether these isoform classes are functionally divergent in the context of human biology. Here, the consequences of specific inhibition of P1 or P2 isoform expression was measured in a human colorectal cancer cell transcriptome. Results indicate that P1 isoforms were specifically associated with the control of cell metabolism, whereas P2 isoforms globally supported aberrant oncogenic signalization, promoting cancer cell survival and progression. P1 promoter-driven isoform expression was found to be repressed by β-catenin, one of the earliest oncogenic pathways to be activated during colon tumorigenesis. These findings identify a novel cascade by which the expression of P1 isoforms is rapidly shut down in the early stages of colon tumorigenesis, allowing a change in HNF4α-dependent transcriptome, thereby promoting colorectal cancer progression.This article has an associated First Person interview with the first author of the paper.
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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".