Galectin-7 in Lymphoma: Elevated Expression in Human Lymphoid Malignancies and Decreased Lymphoma Dissemination by Antisense Strategies in Experimental Model
Bibliographic record
Abstract
Galectin-7 is found mainly in stratified squamous epithelia as well as in various other types of cancer cells. As with other members of the galectin family, the expression of galectin-7 has been shown to negatively regulate the development of some tumors while correlating with the progression of other tumor types. For example, up-regulation of galectin-7 is associated with rat mammary carcinomas and with progression to T-cell malignancy. Here, we provide evidence indicating that galectin-7 functions as an important molecule in the dissemination of lymphoma cells in vivo. We found that stable transfection of lymphoma cells with a plasmid encoding antisense galectin-7 cDNA significantly inhibited the dissemination and invasion of lymphoma cells to peripheral organs, thereby increasing the survival of mice. We also found that inhibition of galectin-7 in aggressive lymphoma cells correlated with a decreased invasion of tumor cells in target organs and a reduced expression of matrix metalloproteinase-9, a gene associated with a poor prognosis in non-Hodgkin's lymphoma. We finally examined the expression of galectin-7 in 50 specimens of different mature B-cell neoplasms and found high galectin-7 expression levels in a significant proportion of mature B-cell neoplasms but not in normal B cells. Taken together, these findings suggest that galectin-7 is a potential therapeutic target in the treatment of lymphoid malignancies.
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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 | 0.001 | 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".