Involvement of the PI 3-kinase signaling pathway in progression of colon adenocarcinoma
Bibliographic record
Abstract
The phosphoinositide 3-kinase (PI 3-kinase) signaling pathway has been shown to play a pivotal role in intracellular signal transduction pathways involved in cell growth, cellular transformation and tumorigenesis. Analysis of several colon adenocarcinoma cell lines indicates that the PI 3-kinase signaling pathway is up-regulated in colon cancers. In particular, the protein levels and phosphorylation status of Akt and p70 S6 kinase are up-regulated in colon adenocarcinoma cell lines. More significantly, we have demonstrated for the first time that the phosphorylation of FKHR, a downstream target of Akt, is increased in these cell lines. Intriguingly, phosphorylation of three components of the PI 3-kinase signaling pathway, namely Akt, p70 S6 kinase and FKHR, are in direct correlation with the degree of tumorigenic potential of the colon cell lines tested. No differences in the protein levels of the two subunits of PI 3-kinase, p85 and p110alpha, and PTEN were noted. Real-time quantitative PCR indicated an increase in levels of Akt message only, and not of the other signaling pathway components. Inhibition of the PI 3-kinase with wortmannin decreased the anchorage-independent growth of colon cells in a soft agar assay. Hence, the components of the PI 3-kinase signaling pathway could serve as potential candidates for drug development in treatment of colon 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 | 0.001 | 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".