Survivin Promotes Stem Cell Competence for Skin Cancer Initiation
Bibliographic record
Abstract
Abstract Stem cells (SC) and not progenitors (P) act as cells of origin of basal cell carcinoma (BCC). The mechanisms promoting BCC formation in SCs or restricting tumor development in Ps are currently unknown. In this study, we transcriptionally profiled SCs and Ps and found that Survivin, a pleiotropic factor that promotes cell division and inhibits apoptosis, was preferentially expressed in SCs. Using genetic gain- and loss-of-function mouse models, we showed that Survivin deletion in oncogene-expressing SCs prevents BCC formation. Survivin overexpression renders Ps competent to BCC formation by promoting cell survival and division while preventing apoptosis and differentiation. We identified Serum glucocorticoid–regulated kinase 1 (Sgk1) as a key downstream factor of Survivin and that its inhibition prevents BCC formation. This study uncovers the role and mechanisms by which Survivin regulates the competence of SCs to initiate BCC formation, promoting the survival of oncogene-expressing SCs and self-renewing division while restricting differentiation and apoptosis. Significance: This study identifies Survivin as a key regulator of the different ability of SCs and Ps to initiate skin cancer. Survivin expression in oncogene-targeted SCs is essential for their survival and self-renewal and to prevent their differentiation and apoptosis, allowing SCs and not Ps to initiate skin cancer.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".