Motexafin gadolinium (MGd) combined with whole brain radiation therapy prolongs time to neurologic progression in non- small cell lung cancer (NSCLC) patients with brain metastases: Pooled analysis of two randomized phase III trials
Bibliographic record
Abstract
2010 Background: In 2 randomized trials, whole brain radiation therapy (RT) plus MGd prolonged time to neurologic progression (TNP) in NSCLC patients (pts) with brain metastases (BM). In this report, results of a pooled analysis from both trials are presented. Methods: In trial 9801, 401 pts with BM from solid tumors were randomized to RT (30 Gy) or RT+MGd, 5 mg/kg qd x 10 days. The subgroup of 251 pts with NSCLC is included in this analysis. In trial 0211, 554 pts with BM from NSCLC were randomized to the same treatments. In both trials, eligibility included a KPS = 70, no liver metastases, and = 1 site of extracranial metastasis. In both trials, a primary endpoint was time to neurologic progression determined by a blinded events review committee (ERC), incorporating data from neurologic exams, neurologic symptom collection, and neurocognitive tests. Results: 805 pts received RT (N=403) or RT+MGd (N=402). Most pts had multiple BM (80%), extracranial metastases (47%) and presented with neurologic deficits (84%). Treatment with MGd was well tolerated, with 93.3% of intended doses administered. Most common MGd-related grade 3+ adverse events were hypertension (4.6%), and fatigue (2.8%). TNP in the RT+MGd group was 15.4 mo, significantly longer than the 9.0 mo for the RT alone group, p=0.016, HR=0.74 (95% CI 0.57–0.95). The results of both studies are consistent, as shown in the table below. Similar results were observed in time to investigator-determined neurologic progression (p=0.015, HR=0.76) and time to neurocognitive progression (memory: HR=0.80, p=0.047, executive function: HR=0.74, p=0.028, all tests combined: HR=0.78, p=0.020). Conclusions: Motexafin gadolinium significantly prolonged time to neurologic progression and neurocognitive progression in NSCLC patients with brain metastases undergoing whole brain radiation therapy in a pooled analysis of 2 randomized phase III trials. [Table: see text] No significant financial relationships to disclose.
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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 | 0.007 | 0.008 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.009 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".