CheckMate 577: A randomized, double-blind, phase 3 study of nivolumab (Nivo) or placebo in patients (Pts) with resected lower esophageal (E) or gastroesophageal junction (GEJ) cancer.
Bibliographic record
Abstract
TPS212 Background: Chemoradiotherapy (CRT) followed by surgical resection is a current standard of care (SOC) for pts with E/GEJ cancer, with 3- and 5-year survival rates ranging from 30% to 40%. Currently, no effective adjuvant SOC is available following resection. Expression of programmed death-1 (PD-1) ligands 1/2 (PD-L1/L2) has been associated with a poor prognosis in E/GEJ cancer, suggesting that PD-1 inhibition may improve outcomes. Nivo is a fully human IgG4 monoclonal antibody that targets PD-1, with demonstrated survival benefit in multiple tumor types and long-term responses in some patients. A phase 1/2 study of nivo monotherapy in chemotherapy-refractory pts with gastric/E/GEJ cancer demonstrated tumor regression, a median overall survival (OS) of 5 months, and a 12-month OS rate of 36% in pts with PD-L1+ and PD-L1- tumors (Janjigian Y, et al. J Clin Oncol. 2016;34:suppl; abstract 4010). This multinational, double-blind, phase 3 trial will evaluate nivo as an adjuvant therapy for pts with resected E/GEJ cancer (CheckMate 577; NCT02743494). Methods: In this study, an estimated 760 pts aged ≥ 18 years with stage II/III E/GEJ cancer are randomized to receive nivo or placebo. Prior to randomization, pts must have completed preoperative CRT followed by surgery and been diagnosed with residual pathological disease after being surgically rendered free of disease with negative margins following complete resection. Pts with stage 4 resectable disease, cervical esophageal cancer, or those who have not received concurrent CRT prior to surgery are not eligible for study enrollment. Primary endpoints are OS and disease-free survival. The secondary endpoint is OS rate at 1, 2, and 3 years. Clinical trial information: NCT02743494.
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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) | 0.001 | 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 | 0.000 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".