ΔNp63α Up-Regulates the <i>Hsp70</i> Gene in Human Cancer
Bibliographic record
Abstract
Abstract HSP70, a stress response protein, is known to be a determinant of cell death and cell transformation. We show that different isoforms of p63 have different transcriptional activities on hsp70 genes. ΔNp63α, an abundantly expressed isoform of p63, activates (in vitro and in vivo), whereas TAp63γ down-regulates the expression of hsp70. We further show that the transactivation domain at the NH2 terminus of p63 represses, whereas the COOH terminus activates hsp70 transcription. In addition, ΔNp63α regulates transcription of the hsp70 gene through its interaction with the CCAAT binding factor and NF-Y transcription factors which are known to form a complex with the CCAAT box located in the hsp70 promoter. Moreover, ΔNp63α expression correlates with HSP70 expression in all head and neck cancer cell lines. Finally, we show colocalization of ΔNp63α and HSP70 in the epithelium and coexpression of both proteins in 41 primary head and neck cancers. Our study provides strong evidence for the physiologic association between ΔNp63α and hsp70 in human cancer, thus further supporting the oncogenic potential of ΔNp63α.
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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) | 0.002 | 0.001 |
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".