Potent immunotherapy against well‐established thymoma using adoptively transferred transgene <i>IL‐6</i>‐engineered dendritic cell‐stimulated CD8<sup>+</sup> T‐cells with prolonged survival and enhanced cytotoxicity
Bibliographic record
Abstract
BACKGROUND: Adoptive transfer of CD8(+) T-cells specific for tumor-antigens is an attractive strategy for anti-tumor therapy. In the present study, the subsets TA and TB were used to represent the population of CD8(+) T cells generated by culturing the respective cells with irradiated dendritic cells (DCs) pulsed with ovalbumin (OVA) protein and transfected with adenoviral vector constructs as described. METHODS: Naïve OVA specific CD8(+) T cells were isolated from the spleen of OVA-specific T-cell receptor transgenic OTI mice. The subsets TA and TB were then generated by in vitro activating the population of CD8(+) T cells with OVA-pulsed DCs transfected with IL-6-expressing adenoviral vector (AdVIL-6 ) or the control vector (AdVNull ). To assess their in vivo immunotherapeutic effects, TA - or TB -cells were intravenously transferred into C57BL/6 mice bearing EG7 thymoma (6-8 mm in diameter). RESULTS: TA -cells displayed a higher level of expression of CD62 l, IL-7R, FasL, perforin and CCR6, and also exhibited more potent in vitro cytotoxicity to OVA-expressing EG7 thymoma cells via perforin- and Fas/FasL-mediated apoptosis than TB -cells. CD8(+) T-cell survival was kinetically analyzed in C57BL/6 mice transferred with TA - or TB -cells by flow cytometry. We found that the adoptively transferred TA -cells had prolonged survival and enhanced T-cell memory development compared to TB -cells. In addition, TA -, but not TB -cells were able to eradicate well-established EG7 thymomas in all eight tumor-bearing mice. CONCLUSIONS: Our data suggest that AdVIL-6 -transfected DC-stimulated CD8(+) T cells with potent cytotoxicity and survival advantage may serve as an effective adoptive CD8(+) T-cell immunotherapy strategy for anti-tumor treatment.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".