Complement activation approaches for use in conjunction with PDT for cancer treatment
Bibliographic record
Abstract
Photodynamic therapy (PDT) has become an established clinical modality for the treatment of a variety of cancers and other lesions. Rapid induction of a massive damage in targeted cancerous tissue by PDT triggers a strong host response whose primary purpose is to contain the perturbed local homeostasis, remove the dead tissue and promote tissue healing at the affected site. Recent characterization of the participation of the complement system in the PDT-induced host response has prompted the hypothesis that further amplification of PDT-elicited complement activation can potentiate the antitumor effect of PDT yielding superior therapeutic gains. After discussing the nature of complement activity directed against autologous tissue and the evidence of complement system engagement following PDT treatment, this report describes various approaches for successfully potentiating the PDT-induced complement activation illustrating the perspectives of this strategy for the clinical management of cancer.
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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 | 0.000 | 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) | 0.000 | 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".