WT1 modulates apoptosis by transcriptionally upregulating the bcl-2 proto-oncogene
Bibliographic record
Abstract
The Wilms' tumor suppressor gene, WT1, encodes a zinc finger transcription factor that has been demonstrated to negatively regulate several growth factor and cognate receptor genes. However, inconsistent with its tumor suppressor function, WT1 has also been demonstrated to be required to inhibit programmed cell death in vitro and in vivo. Moreover, anaplastic Wilms' tumors, which typically express wild-type WT1, display extreme resistance to chemotherapeutic agents that kill tumor cells through the induction of apoptosis. Although p53 mutations in anaplastic Wilms' tumors have been associated with chemoresistance, this event is believed to occur late during tumor progression. Therefore, since dysregulated WT1 expression occurs relatively early in Wilms' tumors, we hypothesized that WT1 was required to transcriptionally upregulate genes that provide a cell survival advantage to tumor cells. Here we demonstrate that sporadic Wilms' tumors coexpress WT1 and the anti-apoptotic Bcl-2 protein. Using rhabdoid cell lines overexpressing WT1, we show that WT1 activates the endogenous bcl-2 gene through a transcriptional mechanism. Transient transfections and electromobility shift assays demonstrate that WT1 positively stimulates the bcl-2 promoter through a direct interaction. Moreover, WT1 expressing cells displaying upregulated Bcl-2 were found to be resistant to apoptosis induced by staurosporine, vincristine and doxorubicine. These data suggest that in certain cellular contexts, WT1 exhibits oncogenic potential through the transcriptional upregulation of anti-apoptotic genes such as bcl-2.
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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".