Abstract B24: Dysregulated Transcription Drives Splicing Defect in Ewing Sarcoma
Bibliographic record
Abstract
Abstract Ewing sarcoma (EwS) is a pediatric and young adult cancer that is driven by the EWSR1-FLI1 translocation. Despite decades of work, this cancer is still an enigma, with poorly understood biology and no targeted treatments. Our recent work published in Nature demonstrated a previously overlooked consequence of EWSR1-FLI1, that this fusion causes hyperphosphorylated RNA polymerase II (pRNAPII) due to loss of EWSR1 inhibition of CDK7 and CDK9. We observed high levels of transcription, with high levels of R-loops present in locations that R-loops normally (physiologically) occur. Based upon these findings, we began to reconsider cellular phenotypes of EwS to identify the molecular basis of these phenotypes and ask whether these changes provide a fundamental defect in all EwS. One phenotype that was previously identified in EwS is that these cells display altered splicing profiles. In our prior work we reported that the normal dephosphorylation of pRNAP in response to damage does not occur, and this results in trapping of BRCA1 protein with the active transcription complex. It was recently shown that the splicing machinery is bound to pRNAPII. This observation raises the interesting possibility that in EwS, like BRCA1 protein, the splicing machinery is also sequestered with pRNAPII. Interestingly, in recent years, there have been several reports linking R-loops to splicing, with splicing defects causing R-loop accumulation and R-loops being associated with sites of alternative splicing. We therefore asked if there is an association between the R-loops and alternative splicing phenotype in EwS cells and whether this results in a defect that can be leveraged to specifically target EwS cells and tumors. Citation Format: L. Lawrence, A. Gorthi, H. Miller, A. J. R. Bishop. Dysregulated Transcription Drives Splicing Defect in Ewing Sarcoma [abstract]. In: Proceedings of the AACR Special Conference on the Advances in Pediatric Cancer Research; 2019 Sep 17-20; Montreal, QC, Canada. Philadelphia (PA): AACR; Cancer Res 2020;80(14 Suppl):Abstract nr B24.
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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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".