Targeting a Novel N-terminal Epitope of Death Receptor 5 Triggers Tumor Cell Death
Bibliographic record
Abstract
Tumor necrosis factor-related apoptosis-inducing ligand receptors death receptor (DR) 4 and DR5 are potential targets for antibody-based cancer therapy. Activation of the proapoptotic DR5 in various cancer cells triggers the extrinsic and/or intrinsic pathway of apoptosis. It has been shown that there are several functional domains in the DR5 extracellular domain. The cysteine-rich domains of DR5 have a conservative role in tumor necrosis factor-related apoptosis-inducing ligand-DR5-mediated apoptosis, and the pre-ligand assembly domain within the N1-cap contributes to the ligand-independent formation of receptor complexes. However, the role of the N-terminal region (NTR) preceding the N1-cap of DR5 remains unclear. In this study, we demonstrate that NTR could mediate DR5 activation that transmits an apoptotic signal when bound to a specific agonistic monoclonal antibody. A novel epitope in the NTR of DR5 was identified by peptide array. Antibodies against the antigenic determinant showed high affinities for DR5 and triggered caspase activation in a time-dependent manner, suggesting the NTR of DR5 might function as a potential death-inducing region. Moreover, permutation analysis showed that Leu(6) was pivotal for the interaction of DR5 and the agonistic antibody. Synthetic wild-type epitopes eliminated the cytotoxicity of all three agonistic monoclonal antibodies, AD5-10, Adie-1, and Adie-2. These results indicate that the NTR of DR5 could be a potential target site for the development of new strategies for cancer immunotherapy. Also, our findings expand the current knowledge about DR5 extracellular functional domains and provide insights into the mechanism of DR5-mediated cell death.
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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".