Enhanced viral and tumor immunity with intranodal injection of canary pox viruses expressing the melanoma antigen, gp100
Bibliographic record
Abstract
BACKGROUND: The route of administration and extent of helper T-cell activation are factors that are likely to be important for the development of effective cancer vaccines. In order to optimize CD8(+) cytotoxic T-lymphocyte (CTL) responses, the immunologic effects of direct lymph node (LN) injections of canary pox virus (ALVAC) vectors (expressing the melanoma antigen, gp100) and immunogenic gp100 peptides, along with concomitant injections of the helper adjuvant, tetanus toxoid, were studied in high-risk HLA-A*0201(+) patients. METHODS: Forty-two patients were vaccinated using six different protocols. Twenty-three patients were 'primed' with ALVAC(2)-gp100m and 'boosted' with gp100 peptides, either subcutaneously or into an LN. Intranodal (IN) peptides, alone, were administered to six patients. Thirteen patients were given tetanus toxoid initially, and with each gp100 vaccination. Toxicity was recorded and immunologic responses were determined in 35 patients by enzyme-linked immunospot (ELISPOT) and gp100-tetramer binding assays and anti-ALVAC(2) enzyme-linked immunosorbent assays (ELISAs). RESULTS: All vaccine protocols were tolerated well. Using stringent criteria for immunologic response, 8 of 18 patients responded to the viral vaccines, in striking contrast to peptides only (0 of 6 patients) or with help in trans from tetanus-reactive T-cells (1 of 11 patients). Changes in gp100-reactive CTL frequencies and ALVAC antibodies were greatest when viruses were injected directly into LNs. CONCLUSIONS: IN injections of ALVAC(2)-gp100m viruses are feasible, safe, and may be a superior method of vaccination in humans. CTL responses to this vaccine were not enhanced by tetanus toxoid.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".