Characterization of a Novel Primary Mammary Tumor Cell Line Reveals that Cyclin D1 Is Regulated by the Type I Insulin-Like Growth Factor Receptor
Bibliographic record
Abstract
The importance of type I insulin-like growth factor receptor (IGF-IR) overexpression in mammary tumorigenesis was recently shown in two separate transgenic models. One of these models, the MTB-IGFIR transgenics, was generated in our lab to overexpress IGF-IR in mammary epithelial cells in a doxycycline (Dox)-inducible manner. To complement this transgenic model, primary cells that retained Dox-inducible expression of IGF-IR were isolated from a transgenic mammary tumor. This cell line, RM11A, expressed high levels of IGF-IR, phosphorylated Akt, and phosphorylated extracellular signal-regulated kinase 1/2 in the presence of Dox. IGF-IR overexpression provided the primary tumor cells with a survival advantage in serum-free media and seemed to induce ligand-independent activation of the IGF-IR because RM11A cells cultured in the presence of Dox were largely nonresponsive to exogenous IGFs. IGF-IR overexpression also augmented the growth of RM11A cells in vivo because injection of these cells into mammary glands of wild-type mice produced palpable tumors in 15.8 +/- 3.4 days when the mice were administered Dox, compared with 57.8 +/- 6.3 days in the absence of Dox. DNA microarray analysis revealed a number of genes regulated by IGF-IR, one of which was cyclin D1. Suppression of IGF-IR expression in vitro or in vivo was associated with a decrease in cyclin D1 protein, suggesting that at least some of the proliferative actions of IGF-IR are mediated through cyclin D1. Therefore, this article characterizes the first primary murine mammary tumor cell line with inducible IGF-IR expression. These cells provide a powerful in vitro/in vivo model to examine the function of IGF-IR in mammary tumorigenesis.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".