ACTR-04. RESULTS OF THE INTERIM ANALYSIS OF THE EORTC RANDOMIZED PHASE III CATNON TRIAL ON CONCURRENT AND ADJUVANT TEMOZOLOMIDE IN ANAPLASTIC GLIOMA WITHOUT 1p/19q CO-DELETION, AN INTERGROUP TRIAL
Bibliographic record
Abstract
The benefit of adding chemotherapy to radiotherapy (RT) in newly diagnosed anaplastic glioma without 1p/19q co-deletion is unknown. The CATNON trial investigated the impact of adjuvant and/or concurrent chemotherapy with temozolomide (TMZ) in these tumors. Eligible were patients with newly diagnosed WHO grade III glioma without 1p/19q co-deletion, ≥ 18 years, and WHO performance status (PS) 0–2. All patients received RT 59.4 Gy in 33 fractions, and in a 2 x 2 factorial design were randomized to i. RT alone; ii. RT with concurrent daily 75 mg/m2 TMZ; iii. RT followed with 12 cycles of 150–200 mg/m2 adjuvant TMZ day 1–5/4 weeks; or iv. RT with both concurrent and 12 cycles of adjuvant TMZ. Stratification factors included O6-methyl-guanine DNA methyltransferase (MGMT) promoter methylation and PS. Primary endpoint was overall survival (OS). 748 patients and 534 events were needed to detect a HR reduction of 0.775 for both concurrent and adjuvant TMZ. An interim analysis was foreseen after 219 events (41%), and required a p value of 0.0084 for rejecting the Null hypothesis of no OS difference. Between Dec 2007 and Aug 2015 748 patients were randomized. On Oct 6, 2015 the interim analysis was conducted based on 221 events (median follow-up: 27 months). The analysis showed a HR reduction for OS of 0.645 (95% CI 0.450, 0.926; p= 0.0014) after adjuvant TMZ (arms iii and iv). MGMT status could be determined in 74% of patients, and was found methylated in 42% of them. MGMT methylation was prognostic for OS (HR 0.54, 95% CI 0.38, 0.77; p= 0.001), but at this stage did not predict improved outcome to adjuvant TMZ. For progression free survival (PFS), the risk adjusted HR of adjuvant TMZ was 0.586 (95% CI 0.472, 0.727; p < 0.0001).
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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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.014 | 0.003 |
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".