Tumor Dormancy: Biologic and Therapeutic Implications
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
Metastatic cancer can arise years after treatment of the primary tumor because residual tumor cells can enter dormancy and evade elimination by anti-neoplastic therapies. The mechanisms underlying this phenomenon have been investigated and a number of hypotheses have been proposed. Tumor mass dormancy involves a balance between apoptotic and proliferative cells, keeping a micrometastatic lesion constant in size. This induces a need for blood supply which involves angiogenic dormancy. Cellular dormancy is also considered a mechanism of dormancy, where dormancy is induced due to cells entering a quiescent, reversible, growth-arrested state. In addition to all of these mechanisms, important changes in the tumor microenvironment, including the extracellular matrix, the oxygenation levels of the environment, and endoplasmic reticulum stress, are involved in inducing and maintaining tumor dormancy. Since dormant tumors are commonly known to be resistant to chemotherapy, gaining more knowledge of the mechanism of dormant tumor cells is of importance, as it can lead to the development of future treatment strategies.
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) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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