A promoter polymorphism in human interleukin-32 modulates its expression and influences the risk and the outcome of epithelial cell-derived thyroid carcinoma
Bibliographic record
Abstract
Interleukin (IL)-32 is an intracellular proinflammatory mediator that strongly modulates the inflammatory reaction. Recent studies have suggested the involvement of IL-32 in the pathogenesis of malignancies. We aimed to assess whether a known germ-line polymorphism in the IL32 promoter modulates IL-32 expression, and whether it influences susceptibility and/or outcome of epithelial cell-derived thyroid carcinoma (TC). In this study, IL32 genotype was assessed in 139 TC patients and 138 healthy controls and was correlated with TC susceptibility and clinical outcome. Furthermore, IL-32 messenger RNA expression and protein were assessed in TC tissues and functional consequences of genetic variants of IL32 were studied in a model of human primary immune cells. Results demonstrate substantial IL-32 expression in TC tumor tissue. Lipopolysaccharide (LPS) stimulation of primary immune cells revealed 2-fold higher expression of IL-32γ, but not IL-32β, in cells homozygous for the ancient T allele. Furthermore, production of LPS-induced cytokines was increased in cells bearing this T allele. Genetic analysis revealed that the ancient T allele was overrepresented in TC patients with odds ratio (95% confidence interval) = 1.71 (1.06-2.75). In addition, the cumulative radioactive iodine (RAI) dose received after total thyroidectomy was significantly higher in TC patients bearing the ancient T allele. In conclusion, individuals bearing genetic variants of IL32 that lead to an increased IL-32γ gene expression and higher production of proinflammatory cytokines have higher risk for developing epithelial cell-derived TC. Subsequently, they require higher dosages of RAI to achieve successful tumor remission. These data suggest an important role of IL-32 in the pathogenesis of TC.
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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 | 0.000 |
| 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".