SALVO: Single-arm phase II study of ipilimumab and nivolumab as adjuvant therapy for resected mucosal melanoma.
Bibliographic record
Abstract
TPS65 Background: Mucosal melanoma is a rare and, therefore, poorly studied malignancy. Patients with resected primary tumors have a median time to recurrence of 5.5 months. While no one adjuvant therapy is of proven benefit for patients, immunotherapy has shown activity in metastatic mucosal melanoma. Methods: We are performing a single arm, phase II clinical trial through the Midwest Melanoma Partnership/Hoosier Cancer Research Network (6 sites) for resected mucosal melanoma. The primary endpoint is recurrence free survival (RFS), and it will include 36 subjects. Patients must have had an R0 or R1 resection of a mucosal melanoma (sinonasal, anorectal, vulvar, or other), and register within 90 days of surgery. Adjuvant radiation is allowed prior to registration but not required. Therapy consists of ipilimumab (1 mg/kg) and nivolumab (3 mg/kg) IV q3w x 4, then 480 mg nivolumab x 1 year. Statistical power is calculated to be 85% to detect a change in RFS from 5.5 months to 9.5 months, with a one sided alpha of 0.05. Enrollment began Sept 2017, with current participation from 6 large volume centers in the United States, with 17 patients enrolled as of Sept 2019. Full accrual is anticipated to complete by year end 2020. Patients will be followed for RFS and OS. Translational studies will include mutational burden, c-kit, BRAF, NRAS status, and serum markers of immunity -- including soluble PD-L1 and Bim. Clinical trial information: NCT03241186.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| 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 | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".