Signal transducer and activator of transcription 6 is frequently activated in Hodgkin and Reed-Sternberg cells of Hodgkin lymphoma
Why this work is in the frame
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Bibliographic record
Abstract
The unique clinicopathologic features of Hodgkin lymphoma (HL) are due to the multiple cytokines produced by its neoplastic cells, the Hodgkin and Reed-Sternberg (HRS) cells. Cytokine signaling is mediated through the signal transducer and activator of transcription (STAT) family of transcription factors. Immunoblotting and immunohistochemistry were used to examine cell lines and tissue sections derived from patients with HL and non-Hodgkin lymphoma (NHL) for expression of activated STAT proteins. Constitutive phosphorylation of STAT6 and STAT3 was common in HL. STAT6 was constitutively phosphorylated in 5 of 5 HL cell lines and in HRS cells from 25 of 32 (78%) classical HL cases. STAT3 was constitutively phosphorylated in 4 of 5 HL cell lines and in HRS cells from 27 of 31 (87%) classical HL cases. Only 4 of 24 NHL cases demonstrated constitutive STAT6 activation, whereas STAT3 activation was observed in 6 of 13 (46%) cases of B-cell NHL and 8 of 11 (73%) cases of T-cell NHL. Constitutive STAT5 phosphorylation was not a common feature of HL or NHL. STAT6 mediates signaling by interleukin 13 (IL-13), a cytokine frequently expressed by HRS cells. Antibody-mediated neutralization of IL-13 resulted in significant decreases in both cellular proliferation and levels of phosphorylated STAT6 of HL cell lines. In conclusion, constitutive STAT6 phosphorylation is a common and distinctive feature of HRS cells in classical HL, whereas STAT3 activation was regularly present in both HL and NHL. These results suggest that IL-13 signaling is largely responsible for the constitutive STAT6 activation observed in HRS cells and further implicate IL-13 as an important growth factor in classical HL.
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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) | 0.001 | 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 it