Challenges in PARP inhibitor therapy: A case of Olaparib-induced liver injury and successful rechallenge with Niraparib
Bibliographic record
Abstract
Olaparib, the first-in-class poly ADP-ribose polymerase (PARP) inhibitor, is approved for first line maintenance treatment in platinum-sensitive FIGO stage 3 and 4 high grade serous ovarian cancer (HGSOC) associated with a deleterious BRCA mutation. We report a case involving a 70-year-old female who experienced significant CTCAE Grade 4 hepatocellular injury after initiating first line maintenance Olaparib for Stage 3C HGSOC. Her liver injury resolved upon discontinuation of Olaparib but promptly recurred upon rechallenge. Extensive investigations, including abdominal ultrasound, computed tomography, and assessments for infectious, metabolic, and autoimmune aetiologies of liver injury, were unremarkable. Her liver enzymes returned to baseline after discontinuing Olaparib once again. Subsequently, the patient was started on Niraparib for maintenance therapy, which she tolerated well. This case represents the first instance of positive rechallenge following Olaparib-induced liver injury and highlights the absence of cross-reactive hepatotoxicity between PARP inhibitors.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.006 | 0.005 |
| 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".