Autocrine IL-6/STAT3 signaling aids development of acquired drug resistance in Group 3 medulloblastoma
Bibliographic record
Abstract
Medulloblastoma (MB) is a high-grade pediatric brain malignancy that originates from neuronal precursors located in the posterior cranial fossa. In this study, we evaluated the role of STAT3 and IL-6 in a tumor microenvironment mediated drug resistance in human MBs. We established that the Group 3 MB cell line, Med8A, is chemosensitive (hence Med8A-S), and this is correlated with a basal low phosphorylated state of STAT3, while treatment with IL-6 induced robust increases in pY705-STAT3. Via incremental selection with vincristine, we derived the stably chemoresistant variant, Med8A-R, that exhibited multi-drug resistance, enhanced IL-6 induced pY705-STAT3 levels, and increased IL6R expression. Consequently, abrogation of STAT3 or IL6R expression in Med8A-R led to restored chemosensitivity to vincristine, highlighting a prominent role for canonical IL-6/STAT3 signaling in acquired drug resistance. Furthermore, Med8A-S subjected to conditioning exposure with IL-6, termed Med8A-IL6+ cells, exhibited enhanced vincristine resistance, increased expression of pY705-STAT3 and IL6R, and increased secretion of IL-6. When cocultured with Med8A-IL6+ cells, Med8A-S cells exhibited increased pY705-STAT3 and increased IL-6 secretion, suggesting a cytokine feedback loop responsible for amplifying STAT3 activity. Similar IL-6 induced phenomena were also observed in the Group 3 MB cell lines, D283 and D341, including increased pY705-STAT3, drug resistance, IL-6 secretion and IL6R expression. Our study unveiled autocrine IL-6 as a promoter of STAT3 signaling in development of drug resistance, and suggests therapeutic benefits for targeting the IL-6/STAT3 signaling axis in Group 3 MBs.
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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 | 0.000 |
| 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 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".