Mutant p53 binds and controls estrogen receptor activity to drive endocrine resistance in ovarian cancer
Bibliographic record
Abstract
High-grade serous ovarian cancer (HGSOC) is a highly lethal gynecologic malignancy in women. Women diagnosed with HGSOC initially respond to chemotherapy, but there is a >80% rate of relapse. There is thus a significant unmet need for new therapeutic targets for HGSOC. Estrogen receptor α (ERα) is a particularly attractive candidate, as ∼70% of HGSOC tumors stain positively for ERα and there are approved inhibitors that show limited toxicity. However, unlike the case for breast cancer, endocrine therapy for HGSOC has not shown consistently promising results. In this work, we show that missense mutant forms of p53, which occur in >60% of HGSOC, bind and inhibit ERα function and confer resistance to fulvestrant and elacestrant. Mechanistically, we show that mutant p53 predominantly inhibits one arm of the ERα pathway—the transactivation of jointly regulated ERα–SP1 target genes such as the mTOR regulator DEPTOR . We show that silencing mutant p53 restores the ability of ERα to transactivate ERα–SP1 target genes and renders HGSOC markedly more sensitive to endocrine therapy. Consistent with this premise, we show that the p53 mutant Y220C refolding compound rezatapopt enhances fulvestrant response in a Y220C mutant cell line.
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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) | 0.000 | 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) | 0.000 | 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".