Abstract PR02: The spliceosome is a therapeutic vulnerability in MYC-driven breast cancer
Bibliographic record
Abstract
Abstract c-MYC (MYC) hyperactivation is one of the most common drivers of human breast cancer and correlates with poor prognosis. Despite intensive study, the MYC oncogene remains recalcitrant to therapeutic inhibition. Like other classic oncogenes, hyperactivation of MYC leads to collateral stresses onto breast cancer cells, suggesting that tumors harbor unique vulnerabilities arising from oncogenic activation of MYC. Herein, we discover the spliceosome as a new target of oncogenic stress in MYC-driven cancers. We demonstrate that core components of the spliceosome and its catalytic activity are required to tolerate oncogenic MYC. Notably, MYC hyperactivation induces global changes in mRNA metabolism and increases the burden on the core spliceosome to process pre-mRNA. In primary human breast cancers, MYC hyperactivation is associated with altered splicing efficiency. In contrast to normal mammary epithelium, partial inhibition of the spliceosome in MYC-hyperactivated breast cancers leads to global intron retention, widespread defects in pre-mRNA maturation, and deregulation of essential cell processes. Importantly, genetic or pharmacologic inhibition of the spliceosome in vivo impairs survival, tumorigenicity, and metastatic proclivity of MYC-dependent breast cancers. Collectively, these data suggest that oncogenic MYC confers a collateral stress on splicing and that components of the spliceosome are therapeutic entry points for aggressive MYC-driven breast cancers. Citation Format: Tiffany Hsu, Lukas Simon, Nicholas Neill, richard marcotte, Azin Sayad, Kristen Karlin, Chandraiah Lagisetti, Thomas Cooper, Thomas Webb, Benjamin Neel, Chad Shaw, Thomas (“Trey”) Westbrook. The spliceosome is a therapeutic vulnerability in MYC-driven breast cancer. [abstract]. In: Proceedings of the AACR Special Conference on Advances in Breast Cancer Research; Oct 17-20, 2015; Bellevue, WA. Philadelphia (PA): AACR; Mol Cancer Res 2016;14(2_Suppl):Abstract nr PR02.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".