A phase III, randomized, open label, multicenter, global study of first-line (1L) durvalumab in combination with standard of care (SOC) chemotherapy and durvalumab in combination with tremelimumab and SOC chemotherapy versus SOC chemotherapy alone in patients with unresectable locally advanced or metastatic urothelial cancer (UC).
Bibliographic record
Abstract
TPS4590 Background: Despite high response rates to 1L SoC for locally advanced or metastatic UC chemotherapy (gemcitabine + cisplatin or gemcitabine + carboplatin for patients who are cisplatin-ineligible [poor performance status, impaired renal function, comorbidities]), most patients experience disease progression. Novel strategies such as combining chemotherapy and immunotherapy offer hope for improving clinical outcomes. Durvalumab is a selective, high affinity, engineered human IgG1 mAb that blocks PD-L1 binding to PD-1 and CD80. Tremelimumab is a human IgG2 mAb directed against CTLA-4. The mechanisms of action of PD-1 and CTLA-4 are nonredundant, so targeting both checkpoint pathways may have additive or synergistic efficacy compared with monotherapy. Studies of platinum-based chemotherapy combined with checkpoint blockade in other tumor types have yielded improved efficacy with acceptable safety and support exploration of this approach for 1L locally advanced or metastatic UC. Methods: NILE (NCT03682068) is a randomized, open-label, multicenter, global trial that will enroll approximately 1265 patients with histologically or cytologically documented, unresectable, locally advanced, or metastatic transitional cell carcinoma of the urothelium. Patients will be randomized (1:1:1) to durvalumab + SoC chemotherapy, durvalumab + tremelimumab + SoC chemotherapy, or SoC chemotherapy as 1L therapy. Primary endpoints are progression-free survival using blinded independent central review assessments per RECIST 1.1 and overall survival (OS). Secondary endpoints include objective response rate, OS at 24 months, proportion of patients alive and progression free at 12 months, duration of response, disease control rate, time from randomization to second progression, and health-related quality of life. Safety, pharmacokinetics, immunogenicity, and biomarkers will also be assessed. The study opened for enrollment in September 2018. 2019 American Society of Clinical Oncology, Inc. Reused with permission. This abstract was accepted and previously presented at the 2019 Genitourinary Cancers Symposium. Clinical trial information: NCT03682068.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 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".