Combination Chemotherapy and ALVAC-CEA/B7.1 Vaccine in Patients with Metastatic Colorectal Cancer
Bibliographic record
Abstract
PURPOSE: The combination of vaccines and chemotherapy holds promise for cancer therapy, but the effect of cytotoxic chemotherapy on vaccine-induced antitumor immunity is unknown. This study was conducted to assess the effects of systemic chemotherapy on ALVAC-CEA/B7.1-induced T-cell immunity in patients with metastatic colorectal cancer. EXPERIMENTAL DESIGN: Patients with metastatic colorectal cancer were treated with fluorouracil, leucovorin, and irinotecan and were also given ALVAC-CEA/B7.1 vaccine with or without tetanus toxoid adjuvant. Eligible patients were randomized to ALVAC followed by chemotherapy and booster vaccination (group 1), ALVAC and tetanus toxoid followed by chemotherapy (group 2), or chemotherapy alone followed by ALVAC in patients without disease progression (group 3). Humoral immune responses were measured by standard ELISA assay, and carcinoembryonic antigen (CEA)-specific T-cell responses were measured by IFN-gamma enzyme-linked immunospot assay. RESULTS: One hundred eighteen patients were randomized to receive either ALVAC before and concomitantly with chemotherapy (n = 39), ALVAC with tetanus adjuvant before and concomitantly with chemotherapy (n = 40), or chemotherapy followed by ALVAC (n = 39). Serious adverse events were largely gastrointestinal (n = 30) and hematologic (n = 24). Overall, 42 patients (40.4%) showed objective clinical responses. All patients developed antibody responses against ALVAC, but increased anti-CEA antibody titers were detected in only three patients. Increases in CEA-specific T cells were detected in 50%, 37%, and 30% of patients in groups 1, 2, and 3, respectively. There were no differences in clinical or immune responses between the treatment groups. CONCLUSION: The combination of ALVAC-CEA/B7.1 vaccine and systemic chemotherapy has an acceptable safety profile in patients with metastatic colorectal cancer. Systemic chemotherapy did not affect the generation of CEA-specific T-cell responses following vaccination.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.000 |
| 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".