Prognostic Significance of Disease Control at 12 Weeks in Patients With Advanced Pancreatic Cancer Receiving FOLFIRINOX as First-line Chemotherapy
Bibliographic record
Abstract
OBJECTIVES: The POLO (Pancreas Cancer Olaparib Ongoing) trial demonstrated improvement in progression-free survival (PFS) with olaparib maintenance in advanced pancreatic cancer (APC) patients with germline BRCA1/2 mutations who had disease control after 16 weeks of platinum-based first-line therapy. However, in the real-world, the first assessment is usually performed at 12 weeks. Therefore, this study aimed to identify the proportion of real-world patients with APC that have disease control at 12 weeks (DC12) after FOLFIRINOX, assess any associations of baseline variables with DC12, and to determine the effect of DC12 on PFS and overall survival (OS). METHODS: APC patients treated with first-line FOLFIRINOX from 2011 to 2018 in Alberta, Canada, were identified. We conducted an analysis of baseline characteristics to identify factors associated with DC12 and to compare the PFS and OS of patients with DC12 to those with earlier disease progression. RESULTS: We identified 165 APC patients treated with FOLFIRINOX with unknown BRCA1/2 status, of which 56% were men, and the median age at diagnosis was 59 years (interquartile range, 38 to 75 y). Of these, 72 (44%) had DC12. Lower serum carbohydrate antigen 19.9 and normal serum albumin were associated with a higher likelihood of DC12. The PFS and OS of patients with DC12 was significantly higher than those with earlier progression (9.3 vs. 2.5 mo; hazard ratio, 0.22; 95% confidence interval, 0.15-0.32; P<0.001; 21.6 vs. 8.9 mo; hazard ratio, 0.35; 95% confidence interval, 0.25-0.49; P<0.0001). CONCLUSION: Less than half of real-world patients treated with first-line FOLFIRINOX have DC12. Patients with APC who have higher carbohydrate antigen 19.9 and low albumin are less likely to have DC12. DC12 is significantly associated with longer PFS and OS.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".