Copy Number Aberrations in Mouse Breast Tumors Reveal Loci and Genes Important in Tumorigenic Receptor Tyrosine Kinase Signaling
Bibliographic record
Abstract
Receptor tyrosine kinase (RTK) signaling plays a key role in the development of breast cancer. Defining the genes and pathways in the RTK signaling network that are important regulators of tumorigenesis in vivo will unveil potential candidates for targeted therapeutics. To this end, we used microarray comparative genomic hybridization to identify and compare copy number aberrations in five mouse models of breast cancer induced by wild-type and mutated forms of oncogenic ErbB2 or the polyomavirus middle T antigen (PyMT). We observed distinct genomic alterations among the various models, including recurrent chromosome 11 amplifications and chromosome 4 deletions, syntenic with human 17q21-25 and 1p35-36, respectively. Expression of oncogenic Erbb2 (NeuNT) under control of the endogenous Erbb2 promoter results in frequent (85%) amplification at the Erbb2 locus with striking structural similarity to the human amplicon, resulting in overexpression of at least two of the genes, Erbb2 and Grb7. Chromosome 11 amplicons distal to Erbb2 arise in a model (DB) overexpressing a mutant variant of PyMT (Y315/322F) unable to activate phosphatidylinositol 3-kinase. These amplicons are not observed in DB hyperplasias or in tumors overexpressing wild-type PyMT and result in overexpression of Grb2 and Itgb4. Distal chromosome 4 deletions occur in a significantly higher proportion of Erbb2 than PyMT tumors and encompass 14-3-3sigma (Stratifin), which is expressed at low or undetectable levels in the majority of NeuNT tumors. Our studies highlight loci and genes important in the regulation of tumorigenic RTK signaling in mammary epithelial cells in vivo.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".