MODL-03. IDH-MUTANT GLIOMA GWAS ALLELE RS55705857 ON 8Q24 IS CHANGING THE DYNAMICS OF UNPATTERNED CEREBRAL ORGANOID DEVELOPMENT
Bibliographic record
Abstract
Abstract BACKGROUND The topologically associated domain (TAD) on 8q24 surrounding MYC is important for many types of cancer. The region is also important in the formation of IDH-mutant glioma; the risk allele rs55705857 being associated with the development of these tumors. The rs55705857 risk allele significantly increased the formation of tumors in an IDH-mutant mouse model. Cerebral organoids have been found to recapitulate the early development of the brain. We hypothesized that the rs55705857 risk allele may alter the phenotype of cerebral organoids. METHODS Isogenic induced pluripotent stem cells (iPSCs) were developed with (n=3) and without (n=2) the rs55705857 risk allele from the parental cell line PGP-1 (GM23338). These cells were cultured and differentiated into unpatterned cerebral organoids and observed throughout differentiation. Organoids were fixed, sectioned, and stained by H&E and immunofluorescence. RESULTS Organoids containing the risk allele were smaller throughout development, starting at the embryoid body stage and continuing up to over 75 days in culture, compared to two isogenic non-risk lines. At 4 weeks the risk allele containing organoids also contained a larger number of small rosette-like neuroepithelia, instead of the more continuous neuroepithelia observed in the non-risk allele organoids. At 75 days, the organoids with the risk allele maintained a larger proportion of Sox2 positive cells, which are enriched in the tight clusters of small cells with round nuclei. CONCLUSIONS The risk allele rs55705857 in the MYC TAD at 8q24 is altering the development of unpatterned cerebral organoids. This difference is visible as early as embryoid body development and persists through neuroepithelial development. Further studies of these differences may help our understanding of how rs55705857 accelerates IDH-mutant glioma development.
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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 | 0.001 | 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) | 0.004 | 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".