Assessment of the association of the VeriStrat test with outcomes in patients (pts) with advanced pancreatic cancer (PC) treated with gemcitabine (G) with or without erlotinib (E) in the NCIC CTG PA.3 phase III trial.
Bibliographic record
Abstract
4061 Background: VeriStrat is a mass spectrometry based assay performed on serum or plasma that has been shown to be prognostic in several tumor types, and may predict differential drug benefit in several settings. We investigated the association of VeriStrat with outcomes in the NCIC CTG PA.3 randomized phase III trial of G and E vs. G and placebo (P) in pts with advanced PC. Methods: Pre-treatment plasma samples were available for 499/569 (87.7%) enrolled pts. VeriStrat testing was performed in a CLIA-certified laboratory; pts were classified as either Good, Poor, or indeterminate. The relationship between VeriStrat results and overall survival (OS) and progression free survival (PFS) was assessed by Kaplan-Meier curves and log-rank test in univariate analysis and Cox model adjusting for gender, age [>60 vs. ≤60], race [Caucasian vs. other], ECOG [0-1 vs. 2], and pain intensity at baseline [≤20 vs. >20] in multivariate analysis. The predictive effect was assessed by interaction test. All statistical analyses were performed by the NCIC CTG. Results: Of the 499 samples, 11 were hemolyzed and 4 had acquisition failures. VeriStrat was performed on 484 samples, 9 failed quality control, 22 had indeterminate results. Of the remaining 452, 353 (78%) were classified as Good and 99 (22%) as Poor. In the G and P arm, median OS was 7.16 months (ms) for VeriStrat Good vs. 3.78ms for VeriStrat Poor (p<0.0001); Adjusted Hazard Ratio (AHR) 0.59 (0.43-0.82), p=0.002. In the G and E arm, median OS was 7.33ms for VeriStrat Good vs. 4.50ms for VeriStrat Poor p<0.0001; AHR 0.47 (0.32-0.70), p=0.001. A similar relationship was seen for PFS (G and P arm: median PFS 3.91 vs. 2.07ms (p=0.001); AHR 0.67 [0.49-0.92], p=0.01); G and E arm: median PFS 4.24 vs. 2.86ms (p=0.0004); AHR 0.54 [0.37-0.80], p=0.002). Tests of interaction of VeriStrat status and treatment for OS and PFS were not significant: AHR 0.78 (0.48-1.25), p=0.30 and AHR 0.80 (0.50-1.30), p=0.37 respectively. Conclusions: VeriStrat results were significantly associated with OS and PFS for both regimens in this study. VeriStrat was not predictive of benefit from the addition of E to G.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".