Role of selectins in the triggering, growth, and dissemination of T-lymphoma cells: implication of L-selectin in the growth of thymic lymphoma
Bibliographic record
Abstract
We previously showed that intercellular adhesion molecule-1 (ICAM-1) expression by the host is essential for lymphoma dissemination. Because selectins usually act in a coordinated fashion with ICAM-1 in the recruitment of circulating normal cells, we investigated their implication in lymphomagenesis and metastasis. Using selectin-deficient mice, we found that though the absence of E-, P-, or L-selectins did not affect the triggering of radiation-induced thymic lymphoma, the absence of L-selectin on lymphoma cells reduced their capacity to grow in the thymus. This defect, however, was overcome by altering the integrity of the L-selectin-mediated interactions in the thymus, as shown in L-selectin-deficient mice and by adoptive transfer experiments. We also found that lack of selectin expression by the host significantly delayed the dissemination of lymphomas to peripheral tissues. This resistance of selectin-deficient mice to lymphoma metastasis was dependent on the intrinsic properties of lymphoma cells because highly tumorigenic variants were insensitive to the absence of selectins. Observations that lymphoma cells disseminate with the same efficiency in normal and selectin-deficient mice suggest that selectins exert their influence at the posthoming stage of metastasis, as does ICAM-1. These results provide definitive evidence that selectins play a significant role at different steps of T-cell lymphoma development.
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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 | 0.001 | 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) | 0.000 | 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 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".