Abundant expression of interleukin-21 receptor in follicular lymphoma cells is associated with more aggressive disease
Bibliographic record
Abstract
Recombinant interleukin-21 (IL-21) has potential utility in cancer therapy. Stimulation with IL-21 can induce apoptosis in follicular lymphoma (FL) cells, and existing studies have suggested that IL-21 signaling may function in tumor suppression. In order to elucidate the relationship between IL-21 receptor (IL-21R) expression and clinical and pathological features in FL, IL-21R was quantified in 114 pretreatment biopsy samples using either conventional immunohistochemistry or immunofluorescence microscopy and automated quantitative analysis (AQUA). Reduced expression of IL-21R was associated with favorable overall survival (p = 0.048). AQUA analysis showed an association with the presence of diffuse large B-cell lymphoma (DLBCL) in the biopsy sample (p = 0.03), and expression of IL-21R was up-regulated upon transformation of FL to DLBCL in two cases. Our results based on the largest survey to date raise the possibility that IL-21 signaling in FL cells, rather than being tumor suppressive, supports tumor progression and that therapeutic benefit could be realized by blocking IL-21R instead of stimulating it.
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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 | 0.000 | 0.001 |
| 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) | 0.003 | 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 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".