Bibliographic record
Abstract
Abstract High-grade serous epithelial ovarian cancers are strongly associated with defective homologous recombination (HR), a DNA repair pathway involved in the mending of DNA double-strand breaks (DSB) and in which the BRCA1, PALB2 and BRCA2 tumor suppressors play key roles. In late December last year, the first poly(ADP-ribose) polymerase (PARP) inhibitor, lynparza or olaparib as it is widely known was approved in Europe and in the US for the treatment of ovarian cancer in tumors with deleterious mutations in the BRCA1 and BRCA2 genes. The approval of olaparib marks a milestone in the development of targeted cancer therapies, as it is the first approved drug that is based on the concept of synthetic lethality. In my presentation, I will report the identification of a system that licenses the assembly of a BRCA1-PALB2-BRCA2 complex in the S and G2 phases of the cell cycle. This system plays a major role in restricting the activation of DNA repair by HR to these cell cycle phases and I will discuss the implication of this newly discovered regulatory pathway to our understanding of genome maintenance and PARP inhibitor therapy. Citation Format: Daniel Durocher. Regulation of BRCA1- and BRCA2-dependent DNA repair. [abstract]. In: Proceedings of the AACR Special Conference on Advances in Ovarian Cancer Research: Exploiting Vulnerabilities; Oct 17-20, 2015; Orlando, FL. Philadelphia (PA): AACR; Clin Cancer Res 2016;22(2 Suppl):Abstract nr IA06.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.004 |
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".