Jacques A. Hagenaars and Allan L. McCutcheon, Eds. Applied Latent Class Analysis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Genistein is a naturally occurring dietary protein tyrosine kinase (PTK) inhibitor that is hypothesized to be responsible for the lower rate of breast cancer observed in Asian women consuming soy. Although genistein is a potent in vitro PTK inhibitor, its mechanism of action in vivo is not known. In vivo, breast cancer growth is regulated by estrogens and peptide growth factors, such as epidermal growth factor (EGF), the receptor of which has intrinsic PTK activity. Therefore, genistein may block mammary epithelial cell growth by interfering with signal transduction events stimulated by estradiol or growth factors. The effect of genistein, related isoflavones, and other tyrosine kinase inhibitors on fetal bovine serum-, estradiol-, and EGF-stimulated cell growth and signal transduction pathways was examined in five human breast cancer cell lines. Genistein inhibited the growth of these cells by each of the growth stimuli with IC50 values ranging from 2.6 to over 20 micrograms/ml. Growth inhibition by genistein was cytostatic and reversible at IC50 concentrations. Related isoflavones were less potent growth inhibitors than genistein, whereas the synthetic PTK inhibitor tyrphostin A25 was an equally potent growth inhibitor. The mechanism of genistein growth inhibition in human breast cancer cells did not depend on the presence of functional estrogen receptor signaling pathways or on inhibition of EGF-receptor PTK activity. Furthermore, genistein (< or = 20 micrograms/ml) did not decrease constitutive or EGF-induced tyrosine phosphorylation as determined by Western blotting with antiphosphotyrosine antibodies. These data suggest that although genistein inhibits the growth of breast cancer cells in culture, it does so without gross inhibition of PTK activity.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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 it