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 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".