Comparative analysis of antitumor activity of CD40L, RANKL, and 4‐1BBL <i>in vivo</i> following intratumoral administration of viral vectors or transduced dendritic cells
Bibliographic record
Abstract
The tumor necrosis factor (TNF) family comprises a group of ligands that regulate cell proliferation, differentiation, activation, maturation and apoptosis through interaction with the corresponding TNF receptor family members. In this study, we have evaluated whether adenovirus-mediated intratumoral gene transfer of CD40L, RANKL, or 4-1BBL elicits an immune response to established murine MC38 and TS/A tumors. Intratumoral administration of the recombinant adenoviral vectors expressing CD40L, RANKL or 4-1BBL 7 days post-tumor cell inoculation resulted in significant inhibition of MC38 tumor growth for all three ligands when compared with control groups treated with either saline or control adenovirus. However, intratumoral injection of Ad-4-1BBL or Ad-CD40L resulted in a significantly stronger inhibition of TS/A tumor progression than did Ad-RANKL treatment. We also demonstrated that intratumoral administration of dendritic cells (DC) transduced with adenoviral vectors encoding the TNF-related ligands resulted in a significant inhibition of MC38 tumor growth as compared with control groups treated with Ad-LacZ-transduced DC or saline-treated DC. In addition, DC overexpressing CD40L secreted considerably more IL-12 and expressed higher levels of the co-stimulatory molecules, CD80, CD86 and CD40, than did DC overexpressing LacZ, 4-1BBL or RANKL. We have also demonstrated that DC/CD40L, DC/4-1BBL, and DC/RANKL survived significantly longer than control DC or DC infected with the LacZ vector. Taken together, these results demonstrate that adenoviral gene transfer of CD40L, RANKL or 4-1BBL elicit a significant antitumor effect in two different tumor models, with CD40L gene transfer inducing the strongest antitumor effect.
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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 | 0.001 | 0.000 |
| 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) | 0.000 | 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".