Akt activity in endometrial cancer cells: Regulation of cell survival through cIAP-1
Bibliographic record
Abstract
In a number of different cancer including endometrial cancers, tumor suppressor phosphatase tensin homologue (PTEN, a lipid phosphatase) is frequently mutated. PTEN dephosphorylates PI 3-K product, phosphatidylinositol 3,4,5-triphosphate (PIP3), into inactive PIP2 which blocks Akt activation/phosphorylation. In the present study, we have used an endometrial cancer cell line known to possess wild-type PTEN (HEC-1-A) and two mutated inactive PTEN protein cell lines (RL-95-2 and Ishikawa) to investigate importance of PI 3-K/PTEN/Akt survival pathway in endometrial cancers. As hypothesised, results showed high levels of Akt1/2 mRNAs and protein phosphorylation in the two mutated PTEN human endometrial cancer cells. To test the possible involvement of Akt in the regulation of survival factors, Bcl-2, XIAP, cIAP-1 and cIAP-2 expression were measured. cIAP-1 protein expression was high in cells expressing phospho-Akt. XIAP and cIAP-2 protein expression was not influenced by the presence of active Akt. Akt phosphorylation decreased and apoptosis was strongly increased in mutated PTEN human endometrial cancer cells in the presence of PI 3-K inhibitor (Wortmannin) which was accompanied by a down-regulation of cIAP-1 protein. Wortmannin had no effect on wild-type PTEN HEC-1-A cell line. Although, Bcl-2 expression was strongly expressed in mutated-PTEN cells, expression remained stable in the presence of Wortmannin suggesting that Bcl-2 is not regulated by Akt. Overexpression of Akt using a constitutively active Akt expression vector resulted in an up-regulation of cIAP-1 expression. These results suggest a pivotal role of Akt in the regulation of endometrial cancer cell survival through the up-regulation of a specific inhibitor of apoptosis protein.
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".