Benefits of platinum-based chemotherapy (Pt-chemo) in pancreatic adenocarcinoma (PC) associated with BRCA mutations: A translational case series.
Bibliographic record
Abstract
4058 Background: The prognosis of PC is poor with limited response to standard chemotherapy. Prior randomized studies of cisplatin and gemcitabine in PC demonstrated no additional benefit over gemcitabine alone. Preclinical data and case reports suggest that BRCA mutant PC may have increased sensitivity to Pt-chemo. Our case series characterizes the benefits of Pt-chemo in germline BRCA mutant PC. Methods: Patients with PC and germline BRCA mutations were identified using the Ontario Pancreatic Cancer Study and Pharmacy databases. Review of clinical records provided demographic, treatment and survival data. Radiology review assessed responses to chemotherapy. RNA was extracted from tumor samples for gene expression studies using a panel of DNA repair genes and Nanostring technology. BRCA loss of heterozygosity (LOH) was also investigated. Results: We identified 14 PC patients with BRCA mutations (8 BRCA2, 6 BRCA1). 11 of these had metastatic disease of which 5 received Pt-chemo. Of the 5 treated with Pt-chemo, there were 3 partial responses (PR) and 2 complete responses (CR) using Recist criteria. For the remaining 6 not treated with Pt-chemo, there was 1 PR with gemcitabine. Additionally, two patients with locally advanced disease at diagnosis became resectable following Pt-chemo. Overall survival was superior for patients receiving Pt-chemo (33.0±25.6 vs 7.3±4.5 months; p=0.04). Gene expression and LOH results will be presented. Conclusions: Responses and survival associated with Pt-chemo observed in our case series of BRCA mutant PC adds to existing data supporting the use of Pt-chemo in this subgroup. Despite the low (2 to 5%) prevalence of BRCA mutations in PC, the benefits gained from personalizing treatment using Pt-chemo supports BRCA testing in selected patients.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".