LTBK-08. TOCA 511 & TOCA FC VERSUS STANDARD OF CARE IN PATIENTS WITH RECURRENT HIGH GRADE GLIOMA
Bibliographic record
Abstract
Abstract BACKGROUND Toca 511 (vocimagene amiretrorepvec) is a cancer-selective, retroviral replicating vector encoding a codon optimized, heat stabilized cytosine deaminase that converts Toca FC (extended-release 5-fluorocytosine, 5-FC) into the anticancer agent 5-fluorouracil. Three Ph1 studies in patients with recurrent high grade glioma have demonstrated a tolerable safety profile and encouraging efficacy. METHODS Toca 5 is a multi-national, randomized, open-label Ph3 trial (NCT02414165) of Toca 511 & Toca FC versus standard of care (SOC) options that comprises Investigator’s choice of single agent chemotherapy (lomustine, temozolomide) or bevacizumab in patients who have undergone resection for first or second recurrence of glioblastoma or anaplastic astrocytoma. 403 patients were randomized 1:1 to the Toca arm or the SOC arm and stratified by IDH1 status, KPS, and geographic region. Primary endpoint was overall survival (OS), and secondary endpoints were durable response rate, durable clinical benefit rate, duration of durable response, and 12-month survival rate. The study used group sequential design including 2 interim analyses and 1 final analysis, and the stratified log-rank test are used for the analysis. RESULTS 271 events were observed for this analysis. Median follow-up was 22.8 months, and the Toca arm missed the primary endpoint (OS) compared to the SOC arm (11.1 months median compared to 12.2 months, HR=1.06, p=0.6154). All secondary endpoints showed no meaningful difference between the arms of the trial. The safety, tolerability and adverse event profile of Toca 511 and Toca FC was as expected for this patient population, with low incidences of Grade 3–4 adverse events. Pre-planned subgroup analyses showed compelling OS improvement in patients with secondary recurrence, and favorable trends in IDH1 mutant and AA population. Detailed data will be presented at the time of the conference.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".