ΔNp63α induces quiescence and downregulates the BRCA1 pathway in estrogen receptor‐positive luminal breast cancer cell line MCF7 but not in other breast cancer cell lines
Bibliographic record
Abstract
Despite apparent resection of tumors, breast cancer patients often suffer relapse due to remnant dormant tumor cells. Although quiescence of cancer stem cells is thought as one of the mechanisms regulating dormancy, the mechanism underlying quiescence is unclear. Since ΔNp63α, an isoform of p51/p63, is crucial in the maintenance of stem cells within mammary epithelium, we investigated its roles in the regulation of dormancy in normal and malignant breast cells. Inducible expression of ΔNp63α in MCF7 estrogen receptor positive (ER+) luminal breast cancer cells led to quiescence and acquisition of progenitor-like properties. Judging from mRNA-microRNA microarray analysis, activation of bone morphogenetic protein (BMP) signaling and inhibition of Wnt signaling emerged as prominent mechanisms underlying ΔNp63α-dependent induction of quiescence and acquisition of stemness in MCF7. More interestingly, through Ingenuity Pathway analysis, we found for the first time that BRCA1 pathway was the most significantly downregulated pathway by ΔNp63α expression in quiescent MCF7 cells, where miR-205 was a downstream mediator. Furthermore, ΔNp63α-expressing MCF7 cells exhibited resistance to paclitaxel and doxorubicin. Expression of ΔNp63α in normal MCF10A basal cells increased proliferation and stemness, but did not affect more aggressive luminal (T47D) and basal (MDA-MB-231) cells with p53 mutation. Gene expression datasets analyses suggested that ΔNp63 expression is associated with relapse-free survival of luminal A/B-type patients, but not of the other subtypes. Our results established a cell type-specific function of ΔNp63α in induction of quiescence and downregulation of the BRCA1 pathway which suggested a role of ΔNp63α in the dormancy of luminal breast cancers.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| 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 | 0.000 |
| 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".