Resistance of ICAM-1–deficient mice to metastasis overcome by increased aggressiveness of lymphoma cells
Bibliographic record
Abstract
Our recent finding that resistance to lymphoma cell metastasis in intercellular adhesion molecule-1-(ICAM-1)-deficient mice was manifested after homing suggested that the mechanism could involve the capacity of ICAM-1 to induce, via leukocyte function-associated antigen-1 (LFA-1) signaling, the expression of new genes necessary for migration and survival of lymphoma cells after homing. This hypothesis would imply that lymphoma cells, on repeated metastatic cycles, would acquire such a highly aggressive phenotype that they no longer require contact with ICAM-1 at later stages of metastasis. We addressed this question by generating highly aggressive lymphoma variants to determine if increased tumorigenicity would allow lymphoma cells to grow into tumors in ICAM-1-deficient mice. We found that on repeated in vivo passages, a selective pressure favored the lymphoma cells that constitutively express high levels of matrix metalloproteainse-9 (MMP-9), a gene associated with a poor clinical outcome in non-Hodgkins's lymphoma. We further found that although the parent lymphoma cells could not grow tumors in ICAM-1-deficient mice, the aggressive lymphoma variants could. This indicates that, at late stages of the disease, tumor cells with a high metastatic efficiency, encoded by the repertoire of selected genes, no longer require some of the signals normally delivered by cell adhesion molecules. In light of these findings, the possibility of inhibiting dissemination of lymphoma cells at the late stage of the disease by acting against cell adhesion molecules must be reconsidered. (Blood. 2000;95:314-319)
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".