Adhesion Dependent Signalling in the Tumour Microenvironment: The Future of Drug Targetting
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
Cellular adhesion molecules are critical components during carcinogenesis and cancer metastasis and contribute to the mechanisms underlying resistance to chemotherapeutic drugs. Since drug resistance is associated with a very poor prognosis for patients with cancer, a better understanding of the role of adhesion molecules could improve patient outcome by identifying novel mechanisms that promote drug resistance. Epigenetic factors, such as cellular adhesion, are shown to promote the resistance of cancers to various chemotherapeutic drugs by altering cellular signalling pathways that activate cellular growth and inhibit apoptosis. In addition, cellular adhesion molecules can provide a means to specifically target more conventional chemotherapy to the unique tumour microenvironment. However, the expression and function of cellular adhesion molecules, and the signals activated by adhesion, are highly interrelated making the development of rational therapies more difficult.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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