Abstract A39: Characterizing the epigenetic effects of the histone 3.3 G34W mutation in giant cell tumors of bone
Bibliographic record
Abstract
Abstract Introduction: Pediatric glioblastomas (pGBM) are malignant brain tumors associated with a dismal prognosis. A subset of pGBMs carry mutations of either the Lysine 27 or Glycine 34 (G34) amino acid residues of histone 3 variant genes. The same G34 residue is also mutated in 85-95% of giant cell tumors of bone (GCTs), albeit to Tryptophan (G34W) in GCTs rather than to Arginine or Valine (G34R/V) as in pGBMs. The G34 mutation is predicted to impede access of histone methyltransferases like SetD2 to the nearby Lysine 36 residue, thereby altering the epigenome and transcriptome. Methods: To elucidate the tumorigenic effect of G34 mutations, we used the gene-editing technology CRISPR/Cas9 to correct the G34W mutation to wild-type in 2 GCT cell lines. We then investigated CRISPR-edited cell lines using functional assays, proteomic, epigenomic, and transcriptomic analyses. Results: Correction of the G34W mutation to wild-type in CRISPR-edited GCT cells results in phenotypic and functional changes suggestive of reduced tumorigenicity. By mass spectrometry, G34W-mutant GCT cell lines display decreased level of Lysine 36 trimethylation (H3K36me3) on the mutant G34-peptide, similar to G34-mutated pGBM cell lines. However, unlike pGBMs, GCTs display increased levels of Lysine 36 dimethylation (H3K36me2) on the mutant G34W-peptide. Ongoing Experiments and Analyses: We are currently comparing the level and distribution of multiple histone marks by performing chromatin immunoprecipitation followed by next-generation sequencing (ChIP-Seq) of CRISPR-edited wild-type clones relative to the parent G34W-mutant GCT line. We are also assessing differential gene expression by RNA-Seq and characterizing the methylation signature by 850K DNA methylation array of G34W-mutant GCTs and edited clones. Conclusion: The G34W-mutation clearly has an impact on tumorigenic potential, as evidenced by in vitro functional assays. The G34W-mutant peptide of GCT cell lines features a distinct profile of post-translational histone modifications compared to G34R- or G34V-mutant peptides of pGBM cell lines. Further investigation could elucidate the epigenetic mechanism(s) through which the G34W mutation confers its tumorigenic properties. Citation Format: Shriya Deshmukh, Sima Khazaei, Dylan Marchione, Ashot Harutyunyan, Benjamin Garcia, Nada Jabado. Characterizing the epigenetic effects of the histone 3.3 G34W mutation in giant cell tumors of bone [abstract]. In: Proceedings of the AACR Special Conference: Pediatric Cancer Research: From Basic Science to the Clinic; 2017 Dec 3-6; Atlanta, Georgia. Philadelphia (PA): AACR; Cancer Res 2018;78(19 Suppl):Abstract nr A39.
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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) | 0.002 | 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".