NF-κB upregulation through epigenetic silencing of LDOC1 drives tumor biology and specific immunophenotype in Group A ependymoma
Bibliographic record
Abstract
BACKGROUND: Inflammation has been identified as a hallmark of high-risk Group A (GpA) ependymoma (EPN). Chronic interleukin (IL)-6 secretion from GpA tumors drives an immune suppressive phenotype by polarizing infiltrating monocytes. This study determines the mechanism by which IL-6 is dysregulated in GpA EPN. METHODS: Twenty pediatric GpA and 21 pediatric Group B (GpB) EPN had gene set enrichment analysis for MSigDB Hallmark gene sets performed. Protein and RNA from patients and cell lines were used to validate transcriptomic findings. GpA cell lines 811 and 928 were used for in vitro experiments performed in this study. RESULTS: The nuclear factor-kappaB (NF-κB) pathway is a master regulator of IL-6 and a signaling pathway enriched in GpA compared with GpB EPN. Knockdown of NF-κB led to significant downregulation of IL-6 in 811 and 928. NF-κB activation was independent of tumor necrosis factor alpha (TNF-α) stimulation in both cell lines, suggesting that NF-κB hyperactivation is mediated through an alternative mechanism. Leucine zipper downregulated in cancer 1 (LDOC1) is a known transcriptional repressor of NF-κB. In many cancers, LDOC1 promoter is methylated, which inhibits gene transcription. We found decreased LDOC1 gene expression in GpA compared with GpB EPN, and in other pediatric brain tumors. EPN cells treated with 5AZA-DC, demethylated LDOC1 regulatory regions, upregulated LDOC1 expression, and concomitantly decreased IL-6 secretion. Stable knockdown of LDOC1 in EPN cell lines resulted in a significant increase in gene transcription of v-rel avian reticuloendotheliosis viral oncogene homolog A, which correlated to an increase in NF-κB target genes. CONCLUSION: These results suggest that epigenetic silencing of LDOC1 in GpA EPN regulates tumor biology and drives inflammatory immune phenotype.
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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) | 0.001 | 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".