A Phase I Trial of Intratumoral Administration of Reovirus in Patients With Histologically Confirmed Recurrent Malignant Gliomas
Bibliographic record
Abstract
Reovirus is an oncolytic virus with activity in in vivo models of malignant gliomas (MGs). The primary aims were to determine the dose-limiting toxicity (DLT) and maximum tolerated dose (MTD) of intratumoral administration of reovirus in patients with recurrent MGs. Response, survival, and time to progression (TTP) were secondary aims. Patients were adults, had Karnofsky Performance score > or = 60, received prior radiotherapy with or without chemotherapy, and had up to the third recurrence of MG. Reovirus was administered intratumorally stereotactically at 1 x 10(7), 1 x 10(8), or 1 x 10(9) tissue culture infectious dose 50 (TCID50) in a volume of 0.9 ml. Twelve patients were treated at three dose levels (3, 6, and 3 patients, respectively). Seven were men, median Karnofsky Performance score was 80, and median age was 53.5 years. There were no grade III or IV adverse events (AEs) definitely or probably related to treatment. Ten patients had tumor progression, one had stabilization, and one was not evaluable for response. Median survival was 21 weeks (range, 6-234), and one is alive 54 months after treatment. Median TTP was 4.3 weeks (range, 2.6-39). An MTD was not reached. The intratumoral administration of the genetically unmodified reovirus was well tolerated using these doses and schedule, in patients with recurrent MG.
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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 | 0.000 |
| 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 | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".