Angiogenesis impairment in Id-deficient mice cooperates with an Hsp90 inhibitor to completely suppress HER2/neu-dependent breast tumors
Bibliographic record
Abstract
Id proteins bind basic helix-loop-helix transcription factors and function as dominant negative inhibitors of gene expression. Id1 and Id3 are required for the recruitment of bone marrow-derived endothelial cell precursors and tumors transplanted into Id-deficient mice demonstrate impaired angiogenesis. Mouse mammary tumor virus-neu mice were bred with Id1-/-Id3+/- mice to ascertain the role of Id1 and Id3 in mammary tumorigenesis in a more physiologically relevant model. In mammary tumors from these mice, Id1 and Id3 expression was restricted to the vascular endothelium. Id1 and Id3 deficiency did not prevent or delay tumor formation but did alter tumor phenotype. The tumors that developed in the Id-deficient mice were larger and cystic with a viable rim of tumor cells surrounding a nonviable core of cellular debris. The Hsp90 chaperone protein is required for cellular survival under condition of environmental stress and for the stability of the neu oncogene. 17-Allylamino-17-demethoxygeldanamycin, an Hsp90 inhibitor, was used to treat these mice. Whereas 17-allylamino-17-demethoxygeldanamycin only modestly delayed the growth of established mammary tumors in WT mice for Id, tumor suppression was dramatically more effective in an Id1- or Id3-deficient background. These data suggest that tumorigenesis can occur in a background of defective angiogenesis but that tumors developing in such an environment may be especially sensitive to inhibitors of neu and stress-activated survival pathways. Thus angiogenesis inhibitors in combination with inhibitors of Hsp90 function should be evaluated for the treatment of advanced breast cancer.
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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) | 0.000 | 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) | 0.000 | 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".