Dose escalation for mitigating diarrhea: Ranked tolerability assessment of anti-diarrheal regimens in patients receiving neratinib for early-stage breast cancer.
Bibliographic record
Abstract
536 Background: The primary tolerability concern with neratinib (NERLYNX®; N), an irreversible pan-HER tyrosine kinase inhibitor, is diarrhea. Data from the multi-cohort, open-label, phase 2 CONTROL trial [Barcenas et al. Ann Oncol 2020] demonstrated significant improvement in grade 3 diarrhea and diarrhea-related discontinuations vs the ExteNET trial, which did not mandate anti-diarrheal prophylaxis. We report a systematic analysis of tolerability in CONTROL and ExteNET. Methods: Patients (pts) ≥18y with stage I–IIIc HER2+ breast cancer received N (240 mg/d po for 1y) after trastuzumab-based adjuvant therapy and were enrolled sequentially into cohorts assessing different modalities to mitigate diarrhea. Cohorts with complete data were included: loperamide (L); L+budesonide (BL); L+colestipol (CL); CL as needed (CL-PRN); and N dose escalation (DE; 120 mg/d on d1–7, 160 mg/d on d8–14, and 240 mg/d thereafter). Integrated ranking (IR) analysis was performed on 13 endpoints in 4 domains (exposure, diarrhea, adverse events [AEs], quality of life [QoL]) identified with input from clinicians; cohorts were ranked from 1 (best) to 5 (worst). Index scores (IS) based on individual pt data from CONTROL were calculated as supportive analysis to confirm selection of the regimen with best overall tolerability, which was then compared with ExteNET. Results: Of the 5 CONTROL cohorts evaluated, DE ranked best for most endpoints. Average ranks per IR method: L 3.4; BL 3.2; CL 3.0; CL-PRN 3.3; DE 2.0. The IS analysis supported DE as the cohort with best overall tolerability. Comparison of CONTROL DE vs ExteNET showed improvement in tolerability in all domains (table). Conclusions: These analyses suggest superiority of weekly DE vs other anti-diarrheal strategies. A lower rate of grade 3 diarrhea was observed with CONTROL DE vs ExteNET (13.3 vs 39.9%, respectively), as well as a comparable or improved AE profile. The data also reveal greater compliance with N (fewer early discontinuations, longer treatment duration, higher cumulative dose) and reduced impact on QoL with DE, suggesting improved tolerability. Clinical trial information: NCT02400476. [Table: see text]
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| 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) | 0.000 | 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".