Abstract 2645: Preclinical validation of Myc inhibition by a new generation of Omomyc-based inhibitors
Bibliographic record
Abstract
Abstract Deregulated Myc is associated with most human cancers suggesting that its inhibition would be a useful therapeutic strategy. Indeed, we have shown that Myc inhibition displays extraordinary therapeutic benefit in various transgenic mouse models of cancer (i.e. skin, lung, pancreatic cancer and glioma) and causes only mild, well-tolerated and reversible side effects in normal tissues. Furthermore, we demonstrated that Myc has a non-degenerate function in cancer that cannot be replaced by other pathways, even in the most aggressive p53-null tumors. Therefore, Myc could be targeted safely and successfully without eliciting resistance to therapy. For these studies we employed a dominant negative inhibitor of Myc, called Omomyc, which is an effective inhibitor of Myc transactivation function both in vitro and in vivo. Omomyc has so far been utilized exclusively as a transgene and served as a successful proof of principle. Here we discuss our current research with Omomyc and our efforts to develop a clinically viable approach to Myc inhibition. One is based on the direct use of Omomyc itself as a peptide since we have discovered that it natively possesses cell-penetrating activity and it rapidly biodistributes to the lung and brain after intranasal administration. We are finding that the Omomyc peptide - like its transgenic counterpart before - has a therapeutic impact and we are continuing with the preclinical validation of this innovative therapeutic approach to pharmacological Myc inhibition. The second approach takes advantage of state-of-the-art nanocarrier technology to deliver Omomyc systemically, that can be combined with tumour-targeting ligands. These two novel Myc inhibition strategies have the potential to be translated rapidly to the clinic. Citation Format: Marie-Eve Beaulieu, Toni Jauset, Daniel Massó-Vallés, Jonathan Whitfield, Erika Serrano, Martin Montagne, Pierre Lavigne, Antonio Villaverde, Mireia Pesarrodona, Esther Vazquez, Laura Soucek. Preclinical validation of Myc inhibition by a new generation of Omomyc-based inhibitors. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 2645. doi:10.1158/1538-7445.AM2015-2645
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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 | 0.001 |
| 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 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".