Interleukin 13 and interleukin 13 receptor are frequently expressed by Hodgkin and Reed-Sternberg cells of Hodgkin lymphoma
Bibliographic record
Abstract
Hodgkin lymphoma (HL) is characterized by the abnormal expression of multiple cytokines, accounting for its unique clinicopathologic features. We have previously shown that interleukin-13 (IL-13) is secreted by HL cell lines and may serve as an autocrine growth factor. To determine the frequency of IL-13 expression in lymphoma patients, tissue sections from 36 patients with classical HL, 5 patients with nodular lymphocyte predominance HL (NLPHL), and 23 patients with non-Hodgkin lymphoma (NHL) were subjected to in situ hybridization. In 31 of 36 cases (86%) of classical HL patients of all histologic subtypes, between 25% to almost 100% of Hodgkin and Reed Sternberg (HRS) cells were positive for IL-13 expression. In contrast, in no case of NLPHL and in only 4 of 23 NHL cases (1 of 5 T-cell-rich B-cell lymphomas, 2 of 5 anaplastic large cell lymphomas, and 1 of 5 peripheral T-cell lymphomas) did the neoplastic cells express IL-13. The expression of the IL-13 receptor chain alpha1 (IL-13Ralpha1) was also analyzed by in situ hybridization. In 24 of 27 (89%) cases of classical HL, between 25% to 75% of HRS cells, as well as a high frequency of lymphocytes and histiocytes, were positive for IL-13Ralpha1 expression. These results were confirmed by the construction of complementary DNA libraries from single HRS cells, followed by polymerase chain reaction analysis, in which IL-13Ralpha1 transcripts were found to be present in all 6 cases of HL. These data indicate that expression of IL-13 and IL-13Ralpha1 is a common feature of HRS cells in HL, consistent with the hypothesis that IL-13 may play a role in autocrine growth in classical HL.
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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 | 0.000 | 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) | 0.002 | 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".