Efficacy of dose-dense platinum-based neoadjuvant chemotherapy in patients with BRCA1/2-associated operable and locally advanced triple-negative breast cancer
Bibliographic record
Abstract
Introduction . BRCA status is of interest as a predictive marker in the context of neoadjuvant chemotherapy (NACT). The goal of NACT in triple-negative breast cancer (TNBC) is to achieve a pathologic complete response (pCR), which is associated with a significant improvement in event-free and overall survival, and it influences further treatment strategy. The absence of a pronounced pathological response after NACT requires the administration of post-neoadjuvant therapy. Despite numerous studies, the optimal NACT regimen for this group of patients has not yet been determined. Objective . To evaluate the efficacy and tolerability of dose-dense platinum-based NACT (4 ddAC followed by 12 PCb) in patients with BRCA1/2- mutated TNBC in terms of pCR rate and Residual Cancer Burden (RCB) score, and to identify predictive factors of treatment efficacy. Materials and Methods . This prospective study included 103 patients with gBRCA1/2-associated stage II–III TNBC who received dose-dense platinum-based NACT between January 2018 and December 2024. Among them, 41.7 % had stage III disease and 26.2 % had lymph node involvement at levels N 2–3. Results . The overall pCR rate was 63.1 % (n=65), while disease progression was observed in 7.8 % (n=8). In operable cases, the pCR rate was 63.5 %, and in locally advanced inoperable cases, it was 62.5 %. The most common germline mutation in BRCA1/2 genes was BRCA1 c.5266dup, found in 53.4 % (n=55) of cases. Rare mutations detected by NGS accounted for 30 % (n=31), while common mutations identified by PCR comprised 70 %. Among patients with common mutations, the pCR rate was 70.8 %, compared to 45.2 % in those with rare mutations. The most frequent type of toxicity was hematologic: grade III–IV neutropenia occurred in 33 % (n=34). Dose reduction was performed only in cases of grade II–III adverse events. The only factor significantly associated with higher pCR rate was the presence of common germline BRCA1/2 mutations (p=0.027). Conclusions . Dose-dense NACT including anthracyclines, taxanes, and platinum agents achieves a high rate of pCR in patients with gBRCA1/2- associated stage II–III TNBC, particularly in those with common mutations. The presence of residual tumor after the full course of NACT indicates the need for personalized adjuvant targeted therapy with olaparib.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".