Addressing the Role of Cell Adhesion in Tumor Cell Dormancy
Bibliographic record
Abstract
The dissemination of tumor cells prior to the surgical resection of early stage tumors poses a serious risk to the disease free survival of cancer patients. This risk arises from the latent capacity of these cells to form solid metastatic lesions after a prolonged period of dormancy, exacerbated by the fact that these cells are often refractory to adjuvant chemotherapeutic protocols. Ensuring the long term survival of cancer patients therefore necessitates an understanding of the mechanisms of tumor cell dormancy and the accompanying drug resistance. Experiments designed to compare the biological behavior of metastatic versus nonmetastatic variants of tumor cells provide evidence that there exists a phenomenon of single-cell dormancy which may depend on a reciprocal dialogue between the tumor cell and the tissue microenvironment. Through a combination of 3-dimensional cell culture technique and in vivo models investigators are now beginning to elucidate the molecular mechanisms underlying this phenomenon. Here we review the results of a series of experiments describing the role of cell adhesion events in dictating tumor cell behavior, including the balance between proliferation and dormancy, and the acquisition of drug resistance.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".