Durable complete response after combined treatment with tumor-infiltrating lymphocytes and oncolytic adenovirus (TILT-123) in a patient with metastatic mucosal melanoma
Bibliographic record
Abstract
Background: Despite significant advancements in the treatment of malignant melanoma, metastatic mucosal melanoma remains a therapeutic challenge due to its complex pathogenesis, distinct pathological characteristics, and limited response to immunotherapy. Combining different immunotherapeutic approaches offers a potential strategy to address these challenges. Tumor-infiltrating lymphocyte (TIL) therapy and oncolytic virus therapy represent promising treatment modalities that may synergize with each other. Patient and methods: We present a case of a 48-year-old woman with metastatic sinonasal mucosal melanoma who achieved a durable complete pathological response following treatment with multiple injections of the oncolytic virus TILT-123 (igrelimogene litadenorepvec) and a single infusion of TILs, without preconditioning chemotherapy or postconditioning interleukin-2. Results: Immunohistochemical analysis and single-cell sequencing revealed interesting alterations in injected and noninjected tumors as well as in peripheral blood, during the treatment course, suggesting that TILT-123 facilitated TIL engraftment into the tumor, ultimately leading to a complete response. Conclusions: This case underscores the potential of combined immunotherapeutic approaches as a promising strategy for patients with metastatic mucosal melanoma.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".