Abstract LB-057: 1-Benzylquinazoline-2,4(1H,3H)-diones as potent PARP inhibitors. SAR of the quinazoline group and in vivo efficacy of clinical candidate IMP4297
Bibliographic record
Abstract
Abstract Poly (ADP-ribose) polymerase (PARP) is a critical enzyme for DNA repair and PARP-1 inhibitors have been found to be efficacious against cancers with BRCA mutations. Olaparib (AZD2281) has been approved as the first PARP-1 inhibitor for the treatment of ovarian cancers with BRCA mutations. In this presentation, we will report the SAR studies of 1-benzylquinazoline-2,4(1H,3H)-diones (BQD) as potent PARP inhibitors. We will present data for substituents at the quinazoline group of BQD, as well as in vivo efficacy data of IMP4297 which has been selected as clinical candidate for development. In a human triple negative breast cancer PDX model (BR-05-0028) with BRCA1 mutations, IMP4297 is highly efficacious against tumor growth with potency that is about 20-fold that of AZD2281. An IND for IMP4297 has been filed in China recently. Citation Format: Sui Xiong Cai, Qingbing Xu, Xiuhua Hu, Yangzhen Jiang, Guoxiang Wang, Ed Tian. 1-Benzylquinazoline-2,4(1H,3H)-diones as potent PARP inhibitors. SAR of the quinazoline group and in vivo efficacy of clinical candidate IMP4297. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr LB-057.
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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) | 0.004 | 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".