Model-driven metronomic vinorelbine in heavily pre-treated metastatic NSCLC and PM patients: Results of a phase I/II study.
Bibliographic record
Abstract
e20505 Background: A phase I/II trial (NCT02555007) of oral metronomic Vinorelbine derived from a mathematical model was performed in heavily pretreated metastatic Non-Small Cell Lung Cancer or Pleural Mesothelioma patients. Progression free survival, toxicity and PK/PD endpoints were the main objectives. Methods: Metronomic scheduling was selected using a simplified phenomenological model to identify the best continuous scheduling and dosing of oral vinorelbine with a total dose of 150 mg QW. Patients were monitored on a weekly basis, efficacy was evaluated by CT scans (RECIST). Toxicity was monitored using standard CTCAE criteria. Total tumor size (TTS) was the sum of diamaters of all lesions. Computation of individual PK parameters was done with Monolix software using population approach. Results: The PK/PD model proposed the following schedule: 60 mg D1, 30 mg D2, 60 mg D4. A total of 36 patients (30 evaluable) were enrolled (22M, 13F, 24 NSCLC, 11 mesothelium, median age 69.5, range 33-85.2). Patients were all heavily pre-treated (median 3 lines, range 1-9). Grade 3+ Neutropenia was observed in 30% patients. Median PFS was 11 weeks (range: 6-16.9). Best responses included 4 PR (13%) and 18 SD (60%). Baseline total tumor size was associated with reduced PFS (HR: 1.09, p = 0.026). A large variability in drug exposure (AUC 53 %, range 26 – 501 ng.h/ml) and PK parameters (Cl 82 %, range 45-605 l/h) was observed among patients. Exposure was not associated with efficacy, apart in patients with larger TTS (i.e., > 70 mm) who seemed to have longer PFS (125 days VS. 40 days, p = 0.057). Vinorelbine exposure tended to be associated with higher risk for grade 2+ neutropenia, especially in patients with BSA < 1.8 m² (60% VS. 25.5%, p = 0.055). A non-significant trend towards baseline NLR and PFS was observed (i.e., NLR < 4: 80 days, NLR > 4: 60 days, p = 0.077). Conclusions: Metronomic vinorelbine was characterized by huge variability in drug exposure among patients. However and despite being all heavily pre-treated, 60% of stable disease and 13% of PR were achieved in these patients. Plasma exposure yielded conflicting results depending on the initial tumor burden, suggesting that patients should be carefully selected prior to be scheduled for metronomic regimen. Possible role NLR could play as a predictive marker is intriguing and should be confirmed in larger cohort.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".