Dendritic cells transfected with lentiviral vector‐encoding human granulocyte‐macrophage colony‐stimulating factor augment anti‐tumour T‐cell response <i>in vitro</i>
Bibliographic record
Abstract
Dendritic cells (DC) are professional antigen-presenting cells that can actively taken up and present tumour-derived proteins to induce a tumour-specific immune response. Granulocyte-macrophage colony-stimulating factor (GM-CSF) plays a pivotal role in the generation, sensitization, maturation and survival of DC. We charged the peripheral blood monocyte cell-derived DC with tumour lysate, and then transfected the DC with lentiviral vector-encoding human GM-CSF (hGM-CSF). The antigen-presenting capacity of the hGM-CSF-transfected DC was tested by means of the mixed lymphocyte reaction and cytotoxic T-lymphocyte assay using wild-type DC as the control. The Lenti-hGM-CSF-transfected DC was able to stimulate the proliferation of naive allogeneic T lymphocytes and to generate tumour-specific cytotoxic T lymphocytes more efficiently than the wild-type DC. This data indicates that Lenti-hGM-CSF-transfected DC could potentially be used as an effective clinical approach for cancer immunotherapy.
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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 | 0.000 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".