Randomized Phase IIB Trial of BLP25 Liposome Vaccine in Stage IIIB and IV Non–Small-Cell Lung Cancer
Bibliographic record
Abstract
PURPOSE: To evaluate the effect of BLP25 liposome vaccine (L-BLP25) on survival and toxicity in patients with stage IIIB and IV non-small-cell lung cancer (NSCLC). Secondary objectives included health-related quality of life (QOL) and immune responses elicited by L-BLP25. PATIENTS AND METHODS: Patients with an Eastern Cooperative Oncology Group performance status of 0 to 2 and stable or responding stage IIIB or IV NSCLC after any first-line chemotherapy were prestratified by stage and randomly assigned to either L-BLP25 plus best supportive care (BSC) or BSC alone. Patients in the L-BLP25 arm received a single intravenous dose of cyclophosphamide 300 mg/m2 followed by eight weekly subcutaneous immunizations with L-BLP25 (1,000 microg). Subsequent immunizations were administered at 6-week intervals. RESULTS: The survival results indicate a median survival time of 4.4 months longer for patients randomly assigned to the L-BLP25 arm (88 patients) compared with patients assigned to the BSC arm (83 patients; adjusted hazard ratio [HR] = 0.739; 95% CI, 0.509 to 1.073; P = .112). The greatest effect was observed in stage IIIB locoregional (LR) patients, for whom the median survival time for the L-BLP25 arm has not yet been reached compared with 13.3 months for the BSC arm (adjusted HR = 0.524; 95% CI, 0.261 to 1.052; P = .069). No significant toxicity was observed. QOL was maintained longer in patients on the L-BLP25 arm. CONCLUSION: L-BLP25 maintenance therapy in patients with advanced NSCLC is feasible with minimal toxicity. The survival difference of 4.4 months observed with the vaccine did not reach statistical significance. In the subgroup of patients with stage IIIB LR disease, a strong trend in 2-year survival in favor of L-BLP25 was observed.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".