IGFBP‐2 Expression in MCF‐7 Cells is Regulated by the PI3K/AKT/mTOR Pathway through Sp1 Induced Increase in Transcription
Bibliographic record
Abstract
Insulin‐like growth factor binding protein 2 (IGFBP‐2) has been implicated in the pathophysiology of neoplasia. The PI3K/AKT/mTOR pathway has recently been implicated as a predominant regulator of IGFBP‐2 at the protein level in MCF‐7 breast cancer cells. Objective To elucidate the specific molecular mechanisms that underlie this regulation. Results We show that the PI3K/AKT/mTOR pathway regulates IGFBP‐2 protein levels by modulating IGFBP‐2 mRNA abundance in MCF‐7 cells. This change is achieved by regulating transcription through a critical region present in the first 200 bp upstream of the transcription initiation site where Sp1 transcription factor binds and drives transcription. Manipulations of the PI3K/AKT/mTOR pathway lead to changes in posttranslational modifications and nuclear abundance of Sp1 transcription factor. Methods used QRT‐PCR, ELISA, Western Blot, Luciferase reporter assays, Immunofluorescence, Chromatin immunoprecipitation. Conclusion This work provides a mechanistic explanation for the observed effects of the PI3K/AKT/mTOR pathway on IGFBP‐2 levels in MCF‐7 cells. Matei Mireuta was supported by the graduate studentship from the Weekend to End Breast Cancer of the Jewish General Hospital Foundation.
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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) | 0.002 | 0.001 |
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".