ETS transcription factors and targets in tumour invasion, angiogenesis and bone metastasis
Bibliographic record
Abstract
The ETS gene family encodes unique transcription regulators that have a common ETS DNA binding domain. At least 25 distinct ETS related genes have been isolated from various species. The ETS family transcription factors are known to regulate genetic programs essential for differentiation and development processes and play diverse roles in a number of biological processes such as organogenesis and tissue remodelling during murine development, hematopoiesis, B-cell development, activation of T-cells and signal transduction, as well as osteogenesis, osteoblast differentiation and extracellular matrix mineralization. Based on the observation of overexpression of ETS related genes in various primary and metastatic tumors, their utility as potential therapeutic targets has been suggested. Antisense oligonucleotides, transdominant, and dominant-negative mutants have been exploited to target and inhibit ETS gene expression selectively. These ETS-targeted studies are being pursued to assess their antitumour effect, and hold the potential that such specific ETS-targeted inhibitors may become a viable option for cancer therapy. Collectively, these studies also demonstrate that Ets factors can regulate multiple aspects of the malignant phenotype of many tumor cells in particular neoangiogenesis and extracellular matrix-regulated (ECM-regulated) cell proliferation, motility and invasiveness.
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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 | 0.000 | 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) | 0.000 | 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".