A FOXA1/SPDEF Co-regulatory Axis Drives ERBB2 and Suppresses TEAD/YAP-Driven EMT to Maintain Luminal Identity in HER2+ Breast Cancer
Bibliographic record
Abstract
Abstract The function of the pioneer factor forkhead box A1 (FOXA1) in estrogen receptor (ER)-negative, human epidermal growth factor receptor 2 (HER2, encoded by the ERBB2 gene)-positive breast cancer represents a critical gap in our understanding of lineage identity in tumorigenesis. Here, we solve this enigma by addressing this question through the identification of an indispensable, co-dependent regulatory circuit formed between FOXA1 and the SAM pointed domain containing ETS-family transcription factor (SPDEF). Using integrative multi-omics analyses of patient tumors and experimental models, we demonstrate that this circuit functions as the master guardian of the HER2-positive luminal state. It executes this role via two distinct, essential mechanisms: it directly binds regulatory elements to drive high-level expression of the ERBB2 oncogene, and it simultaneously preserves epithelial identity by suppressing a latent program of epithelial-to-mesenchymal transition (EMT). Mechanistically, the FOXA1/SPDEF circuit promotes the expression of the transcriptional repressor TRPS1, which in turn antagonizes the pro-mesenchymal activity of the TEAD/YAP complex. Our findings define a central regulatory node that couples lineage fidelity to oncogenic output in HER2-positive cancer, revealing the FOXA1/SPDEF–TRPS1 axis as a critical determinant of tumor plasticity and a potential therapeutic target for overcoming resistance in HER2-positive breast cancer.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".