Abstract 4035: A novel combi-molecule engineered to target the putative synthetic lethal interactions between the epidermal growth factor receptor (EGFR) and poly(ADP-ribose)polymerase (PARP)
Bibliographic record
Abstract
Abstract Over the past decade, PARP inhibition has been actively pursued as a novel approach for the selective therapy of tumors with BRCA1/2 mutations. The therapeutic benefits of PARP inhibitors have now been proven in the clinic against BRCA1/2 mutant ovarian cancers. This is hitherto limited to BRCA1/2 mutations, which only accounts for 5-10% of all cancers with hereditary mutations in the homologous recombination pathway. Therefore, new strategies are not only required to enhance the potency of PARP inhibitors but also to expand their use beyond BRCA mutation. While several combination modalities have been reported for PARP inhibitors, the concept of targeted PARP inhibitor has not yet been explored. Here using our novel combi-targeting approach, we report on the design of PARP inhibitors targeted to EGFR, a tyrosine kinase receptor overexpressed in several solid tumors. Recently, reports on the relationship between EGFR, PARP and BRCA have begun to emerge, one of which described a contextual synthetic lethality between EGFR and PARP (PloS one 7.10 (2012)). Here we report on the design and synthesis of novel PARP-EGFR combi-molecule based on structural modification of olaparib as a PARP inhibitor warhead and the quinazoline moiety for targeting EGFR. The results showed that: (a) it is capable of inducing a dose-dependent inhibition of PARP in isolated enzyme assay, (b) it induced a dose-dependent inhibition of EGFR in an isolated kinase assay, (c) it showed a dose-dependent inhibition of EGFR phosphorylation and downstream signaling in whole-cell assay, (d) it was selectively potent towards BRCA2 mutant and also EGFR-overexpressing cell lines, (d) it was extremely potent with activities superior to that of olaparib or gefitinib alone and their corresponding equimolar combination in three established triple negative breast cancer cell lines, (e) subcellular distribution analysis showed that it was abundantly localized in the perinuclear region. These results in toto suggest that this new combi-molecule could be developed as a single drug modality emulating the combination of PARP and EGFR inhibitors with the added benefit of being targeted to EGFR-expressing tumor cells. Citation Format: Zhor Senhaji Mouhri, Martin Rupp, Bertrand J. Jean-Claude. A novel combi-molecule engineered to target the putative synthetic lethal interactions between the epidermal growth factor receptor (EGFR) and poly(ADP-ribose)polymerase (PARP) [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 4035. doi:10.1158/1538-7445.AM2017-4035
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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) | 0.001 | 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".