Abstract B37: PARP inhibitor olaparib induces genomic instability in normal mammalian cells
Bibliographic record
Abstract
Abstract Poly(ADP-ribose) polymerases (PARPs) are the first proteins involved in cellular DNA damage response pathways to be targeted by specific inhibitors for clinical benefit. Tumors with defects in homologous recombination (HR) are hypersensitive to PARP inhibitors (PARPi), and early phase clinical trials have been promising in patients with advanced BRCA1 and BRCA2-associated breast, ovary and prostate cancer. Unlike HR-defective cells, HR-proficient cells manifest low cytotoxicity when exposed to PARPi. Nonetheless, they mount a DNA damage response and show a genomic instability phenotype as demonstrated by an increased frequency of sister chromatid exchange. To study molecular mechanisms underlying PARPi-generated genomic instability, we took advantage of olaparib an agent in clinical use. Our results in mouse embryonic stem cells show that olaparib increases HR leading to copy number alterations and induces a mutator phenotype. Further, using a genome wide approach we finally demonstrate that PARPi treatment increases DNA double-strand breaks genome-wide which can lead to translocations and other genome aberrations. Our findings have important implications for therapies with regard to sustained genotoxicity to normal cells. Genomic instability arising from PARPi warrants consideration in prevention strategies or for non-oncologic indications. Citation Format: Fabio Vanoli, Shuhei Ito, Richard L. Frock, Frederick W. Alt, Mary Ellen Moynahan, Maria Jasin. PARP inhibitor olaparib induces genomic instability in normal mammalian cells [abstract]. In: Proceedings of the AACR Special Conference on DNA Repair: Tumor Development and Therapeutic Response; 2016 Nov 2-5; Montreal, QC, Canada. Philadelphia (PA): AACR; Mol Cancer Res 2017;15(4_Suppl):Abstract nr B37.
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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 | 0.002 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 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".