Pulmonary Embolism Associated with Olaparib in BRCA2-Mutated Prostate Cancer: A Case Report
Bibliographic record
Abstract
Olaparib, a poly (ADP-ribose) polymerase (PARP) inhibitor approved for treating metastatic castration-resistant prostate cancer (mCRPC) with BRCA mutations, has significant clinical benefits. However, evidence suggests an increased risk of venous thromboembolism, including pulmonary embolism (PE), particularly in patients with PC. However, no case reports of olaparib-associated PE in mCRPC have been published. Here, we report the case of a 70-year-old man with mCRPC harboring a BRCA2 mutation, who developed PE during olaparib therapy. Diagnostic evaluations included contrast-enhanced computed tomography and serum D-dimer level measurement. Clinical decision tools, such as the Wells score and the Khorana score, were used to support the diagnosis and risk assessment. The patient developed acute dyspnea and chest pain 7 months after olaparib initiation. Imaging confirmed multiple pulmonary emboli; laboratory testing revealed markedly elevated D-dimer levels. Anticoagulation therapy with apixaban led to rapid clinical and radiological improvement. However, mCRPC eventually progressed after olaparib discontinuation, and the patient died 15 months after olaparib initiation. This is the first reported case of olaparib-associated PE in mCRPC. It underscores the importance of vigilance for thromboembolic complications during PARP inhibitor therapy. The integration of clinical scoring systems and biomarkers may facilitate timely PE diagnosis and management, potentially improving patient outcomes.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.009 | 0.006 |
| Insufficient payload (model declined to judge) | 0.002 | 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".