Cytotoxic T Cell Responses against Mesothelioma by Apoptotic Cell-pulsed Dendritic Cells
Bibliographic record
Abstract
Malignant pleural mesothelioma is an uncommon tumor largely confined to the thoracic cavity, which is resistant to conventional therapies, therefore prompting an intensive search for effective treatment alternatives. This study focuses on dendritic cell (DC) vaccination for malignant pleural mesothelioma and evaluates the in vitro efficacy of antigen-loaded DC-based vaccines for the induction of major histocompatibility complex Class I-restricted antimesothelioma cytotoxic T lymphocyte responses. The source of tumor-associated antigens for HLA-A2(+) DCs from healthy donors was apoptotic HLA-A2(-) mesothelioma cells either lacking or expressing heat shock protein 70 according to whether tumor cells were heat shocked or not before ultraviolet-mediated apoptosis. Our results show that both apoptotic preparations were equivalent regarding the responsiveness of DCs to combined treatment with tumor necrosis factor-alpha and poly(inosinic-cytidylic) acid, as determined by similar increased expression of costimulatory molecules and interleukin-12 production. However, only DCs loaded with apoptotic heat shock protein 70-expressing cells were found to be potent in vitro inducers of cytotoxic T lymphocyte activity against HLA-A2(+) mesothelioma cells. Such elicited cytotoxic T lymphocytes also exhibit cytotoxic activity against an HLA-A2(+) melanoma cell line, suggesting recognition of shared antigens. These findings therefore carry the potential of offering an alternative, promising approach for the therapy of patients with malignant pleural mesothelioma.
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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 | 0.000 |
| 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".