Abstract B45: Therapeutic potential of splicing in RMS: SRSF2 binding modulation controls MDM2 alternative splicing
Bibliographic record
Abstract
Abstract MDM2 undergoes complex alternative splicing and one of its spliced isoforms, MDM2-ALT1, comprised of coding exons 3 and 12, is highly expressed in pediatric rhabdomyosarcoma, and its expression correlates with a poor disease prognosis. MDM2-ALT1 expression is also upregulated under conditions of cellular genotoxic stress, and this alternative splicing is conserved in the mouse Mdm2 gene. Furthermore, previous research from our lab has reported that the splicing factors SRSF1, FUBP1, and PTBP1 are involved in this regulation; nevertheless, the way that MDM2 splicing is controlled is not entirely understood. In this work, we explore the role of the splicing factor SRSF2/SC35 in the alternative splicing of MDM2, hypothesizing that this factor acts as a positive regulator, in both human and mouse, facilitating the production of the full-length MDM2 mature transcript. This splicing factor has been reported to be mutated in several cancers, including myelodysplastic syndromes and rhabdomyosarcoma. Moreover, using a minigene system that mimics the endogenous Mdm2 splicing in response to UV and cisplatinum-induced DNA damage and the CRISPR-Cas9 technology, we show that mutations in SRSF2 predicted binding sites alter Mdm2 alternative splicing. The CRISPR-engineered mutant cells that express this splice isoform show increased proliferation in an Arf/p19 null context. On the other hand, we show that by using antisense oligonucleotides working as splice-switching molecules that target the SRSF2 binding sites in the MDM2 pre-mRNA, we are able to shift the expression of the MDM2 splice isoforms to drive p53 target gene expression in p53 wild-type cells. Furthermore, in an effort to understand better the effect of the MDM2-ALT1 isoform in carcinogenesis, we performed the CRISPR-Cas9 technique to generate a mouse model expressing the cancer-associated spliced isoform. We expect the mouse to be a cancer-sensitized model that will give rise to RMS tumors and provide a preclinical model for testing splice-switching oligonucleotide therapies. Citation Format: Matias I. Montes, Daniel F. Comiskey, Safiya Khurshid, Dawn S. Chandler. Therapeutic potential of splicing in RMS: SRSF2 binding modulation controls MDM2 alternative splicing [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 B45.
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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) | 0.003 | 0.001 |
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".