EGF-receptor signaling and epithelial-mesenchymal transition in human carcinomas
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
The epidermal growth factor receptor (EGF-R) signaling pathway maintains a balance between cell proliferation, differentiation and apoptosis, and thus it is believed that EGF-R signaling pathways play an important role in the development and progression of several human carcinomas. Epithelial-mesenchymal transition (EMT) describes the dedifferentiation switch between polarized epithelial cancer cells and contractile and motile mesenchymal (invasive) cells during cancer progression and metastasis. Activation of EGF-R signaling regulates EMT-associated invasion and migration in normal and malignant epithelial cells. In contrast, blocking EGF-R and consequently its pathways, by a monoclonal antibody (mAb) or a tyrosine kinase inhibitor (TKI), inhibit cellular migration and invasion, suggesting an essential role for EGF-R inhibitors in the control of cancer metastasis. The purpose of this review is to summarize current information regarding the role of EGF-R signaling on EMT during human cancer progression and metastasis.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 it