Neoadjuvant PARP inhibitors in patients with early HER2-negative breast cancer harboring BRCA 1/2 germline mutations: A systematic review and meta-analysis.
Bibliographic record
Abstract
e12611 Background: Poly (ADP-ribose) polymerase inhibitors (PARPi) are approved for the treatment of germline BRCA mutated (gBRCAm) breast cancer (BC) patients in the adjuvant and metastatic settings. Several studies have explored the role of PARPi in the neoadjuvant setting both with and without chemotherapy. Here, we explore the efficacy and safety of neoadjuvant PARPi in early HER2-negative BC patients. Methods: We searched PubMed, Scopus, and the Cochrane Library databases for randomized (RCT) and non-randomized clinical trials (non-RCT) that reported the proportion of patients with pathological complete response (pCR) after neoadjuvant PARPi and safety. Statistical analysis was performed using R software. Data were pooled using the random effects model. Results: Analysis included 3 RCTs and 4 non-RCTs, with 942 HER-2 negative breast cancer patients, 293 harboring a gBRCA 1/2 mutation. In a pooled analysis, gBRCAm carriers achieved a significantly higher rate of pCR than BRCA wild-type patients (56% versus 37%, p=0.04) with neoadjuvant PARPi. There was no difference in pCR when PARPi were combined with carboplatin (+/- chemotherapy) (40% versus 44%, p=0.69). Among RCTs (n=457) patients received PARPi in combination with either Paclitaxel plus Carboplatin (PCb) (85%) or with Paclitaxel alone (P) (15%). PARPi were associated with a higher pCR which approached, but did not meet statistical significance (51% vs 41%; Odds Ratio [OR]: 1.30, 95%CI 0.97 to 1.74, p=0.08). gBRCAm was associated with higher pCR compared to wild type in RCTs analysis (60% versus 48%; OR: 1.64, 95%CI 1.01 to 2.68, p=0.05). The most common adverse events (AEs) were cytopenias, nausea, fatigue, alopecia, and dizziness. Hematological toxicities were the most frequent serious AEs, including anemia (15%), neutropenia (22%), and thrombocytopenia (3%). The combination of PARPi and carboplatin was associated with higher hematological AEs (78% versus 46%; P=0.002). Conclusions: The addition of PARPi in the neoadjuvant setting improves pCR in early-stage HER2-negative breast cancer and germline BRCA 1/2 mutations, but not for unselected patients. Combination of PARPi with carboplatin does not improve pCR and leads to substantially worse toxicity. Further studies are warranted to identify the best neoadjuvant PARPi schema.[Table: see text]
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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 | 0.007 | 0.015 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.014 | 0.023 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".