25 Durable complete responses observed in patients with recurrent high grade glioma treated with Toca 511 & Toca FC
Bibliographic record
Abstract
Toca 511 (vocimagene amiretrorepvec) is an investigational retroviral replicating vector that selectively infects dividing cancer cells, integrates into the genome and replicates due to immune defects in tumors. Toca 511 spreads through tumors and stably delivers the gene encoding an optimized yeast cytosine deaminase that converts the prodrug Toca FC (investigational, extended-release of 5-fluorocytosine) into 5-fluorouracil. In preclinical models, 5-fluorouracil kills infected dividing cancer cells, myeloid derived suppressor cells and tumor associated macrophages, enabling immune activation against the tumor. In this dose ascending Ph1 trial (NCT01470794), Toca 511 was injected into the resection cavity wall of patients with rHGG, followed by courses of oral Toca FC. Additional cohorts included combination with bevacizumab or lomustine. Across the Ph1 program, the safety profile remains favorable. Objective responses (ORs) were assessed by IRR using MRI scans prior to Toca FC treatment as baseline. ORs occurred 6-19 months after Toca 511 administration, suggesting an immunologic mechanism. The ORs were observed in 4 patients with IDH1-wildtype and 2 patients with IDH1-mutant tumors, including 5 complete responses (CRs) with the investigational therapy alone, and 1 CR in combination with bevacizumab. The median duration of response (mDoR) was 35.1+ months. As of AUG2017, all responders were CR and remain alive. In a 23-patient subgroup who received high doses of Toca 511 and met Ph3 trial criteria, mOS was 14.4 months, 3-year survival rate was 26.1%, and mDoR was 35.7+ months with a durable response rate of 21.7%. Data suggest a positive association of durable response with OS.
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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".