Long Duration Pembrolizumab for Metastatic Undifferentiated Pleomorphic Soft Tissue Sarcoma With Multimodality Therapy
Bibliographic record
Abstract
Patients with undifferentiated pleomorphic sarcoma (UPS) of soft tissue have responsiveness to immunotherapy treatment. Since few patients with soft tissue sarcoma respond to immunotherapy, guidelines for its management are lacking. Specifically, the optimal duration of immunotherapy is unclear. This report is unique owing to the probable longest reporting of successful continuous immunotherapy for metastatic UPS over 6.5 years and 109 cycles. Here a patient who developed metastatic UPS is presented. The patient required systemic therapy for metastatic sarcoma, eventually with immunotherapy. A prolonged treatment over many years is elaborated. A robust response was seen but occasionally augmented by adding external beam radiation therapy (XRT). Treatment was tolerated without adverse effects. A brief review of current treatment practice and known risks of prolonged immunotherapy is presented. For similar patients, a lengthy treatment course, beyond that utilized for other malignancies, can be considered. This is likely to be safe if it is tolerated and without early adverse effects. Other treatment modalities such as palliative surgery and XRT are described which may also be required for management of mixed responses.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".