Randomized phase III trial of regorafenib in patients (pts) with metastatic and/or unresectable gastrointestinal stromal tumor (GIST) progressing despite prior treatment with at least imatinib (IM) and sunitinib (SU): GRID trial.
Bibliographic record
Abstract
LBA10008 Background: Oral multikinase inhibitor regorafenib (REG) demonstrated substantial activity in a phase II trial in pts with GIST after failure of both IM and SU (J Clin Oncol. 2011; 29:606s; abstr 10007). This phase III, randomized, double-blind, placebo-controlled trial evaluated the efficacy and safety of REG for this unmet clinical need. Methods: Eligible pts had metastatic and/or unresectable GIST, objective failure of both prior IM and SU (progressive disease [PD] on, or intolerance to, IM and PD on SU), ≥1 measurable lesion, ECOG performance status 0 or 1. Pts were randomized 2:1 to receive best supportive care plus either REG 160 mg po once daily (3 wks on/1 wk off) or placebo (PL). The primary endpoint was progression-free survival (PFS) (modified RECIST 1.1, independent central review). Secondary endpoints included overall survival (OS), disease control rate (DCR, defined as rate of partial response [PR] plus stable disease [SD] lasting for ≥12 wks), response rate and duration, safety and correlative genotype analyses. At time of PD, pts were eligible for unblinding and crossover to open-label REG. Results: Between Jan and Aug of 2011, 234 pts were screened; 199 were randomized (REG: 133, PL: 66). Pts were stratified at randomization according to number of prior systemic therapies and geographical region. Baseline characteristics were balanced between the two arms. The primary endpoint was met: median PFS was 4.8 months for REG vs. 0.9 months for PL. Hazard ratio for PFS was 0.27 (95% CI, 0.18-0.39), p<0.0001. PFS rates at 3 and 6 months were 60% and 38% for REG vs. 11% and 0% for PL. DCR was 53% (REG) vs. 9% (PL).The HR for OS was 0.77 (p=0.20) with 85% PL pts having crossed over to REG. The most common > grade 3 treatment-emergent AEs in the REG arm during double-blind study were hypertension (28%), hand-foot skin reaction (21%), and diarrhea (8%). Conclusions: This randomized trial demonstrated that REG significantly improved PFS and DCR in pts with advanced GIST after failure of at least prior IM and SU. REG was well tolerated, with AEs as expected for this class and manageable with dose modifications.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".