IT-28 * VACCINATION AGAINST EPIDERMAL GROWTH FACTOR RECEPTOR VARIANT III IN GLIOBLASTOMA: THE RINDOPEPIMUT COMPASSIONATE USE EXPERIENCE
Bibliographic record
Abstract
The tumor-specific epidermal growth factor receptor variant III mutation (EGFRvIII) is widely expressed in glioblastoma and thus represents an attractive target for immunotherapeutic approaches. The investigational vaccine rindopepimut is an EGFRvIII peptide sequence conjugated to keyhole limpet hemocyanin and is administered intradermally with GM-CSF. Previous single-arm studies of rindopepimut in newly diagnosed, resected, EGFRvIII+ glioblastoma have shown encouraging PFS and OS. This compassionate use program provided rindopepimut to 61 EGFRvIII+ glioblastoma patients who were ineligible for ongoing clinical trials. Data are currently available on 42 patients, 12 (29%) with newly diagnosed glioblastoma (resected or inoperable) and 30 (71%) with recurrent disease. MGMT methylation was seen in 9/17, while all tested patients were negative for IDH1 (12/12) and IDH2 (7/7). Median age was 53 years (15-70) and median time from diagnosis was 14.5 months (2.7-58.7). Rindopepimut, administered in combination with temozolomide (57%), bevacizumab (57%), and/or other (17%), was well tolerated, with frequent mild injection site reactions and one potentially treatment-related, serious event of cerebral edema. Median peak rindopepimut-induced anti-EGFRvIII titer was 1:1,200 (<1:100-1:6,553,600). Median treatment duration is currently 3.7 (0.03-60.1) months. Tumor response (>50% shrinkage in measurable disease) was observed in six patients receiving rindopepimut with other agents. One inoperable glioblastoma patient experienced a CR during treatment with rindopepimut, erlotinib, temozolomide, and bevacizumab, and has continued rindopepimut for >5 years without significant toxicity or disease recurrence. Biopsy at recurrence showed EGFRvIII was eliminated in a patient who received rindopepimut and temozolomide for ∼9 months. In patients with newly diagnosed and recurrent glioblastoma, respectively, median PFS was 9.1 and 2.5 months, and median OS was 15.7 and 8.7 months from first vaccination. In conclusion, rindopepimut in combination with various anticancer therapies resulted in robust anti-EGFRvIII humoral response with minimal toxicity. PFS and OS appear promising in this heterogeneous, poor prognosis population.
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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 | 0.001 |
| 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".