Apoptosis effects of Xrel3 c-Rel/Nuclear Factor-kappa B homolog in human cervical cancer cells
Bibliographic record
Abstract
Cervical cancer is considered a common yet preventable cause of death in women. In this report, we studied the role of the NF-kappaB gene family in HeLa human cervical cancer cells, using the Xrel3 c-Rel homologue of Xenopus laevis. The expression of Xrel3/c-Rel slowed cell growth 6-fold, consistent with an upregulated expression of the cell cycle inhibitor p21. The activated PARP apoptosis effector was significantly increased (P<0.01). Based on cell viability assays Xrel3 provided an anti-apoptotic effect in 1 microM cisplatin, and this was associated with significantly lower levels of the apoptotic proteins Bax and MDM-2 (P<0.05). Furthermore, there was a 3-fold drop in the level of the tumor suppressor protein p53. In 5 microM cisplatin, expression of HeLa Xrel3 enhanced apoptosis by significantly increasing the expression of the apoptotic proteins Bax and MDM-2 (P<0.05). However, the tumor suppressor protein p53 showed a significant decrease (P<0.05) relative to the control. Thus, c-Rel/NF-kappaB may potentially be of clinical significance, especially in tumors exhibiting resistance to high-level chemotherapy.
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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".