Radiation activated photodynamic therapy (radioPDT) induces lipid peroxidation and vascular mediated tumor regression of prostate cancer
Bibliographic record
Abstract
Photodynamic therapy (PDT) represents a promising cancer treatment strategy, leveraging external light sources to activate photosensitizers, which in turn generate reactive oxygen species (ROS) to target and destroy tumor cells. However, PDT's efficacy has traditionally been limited to surface tumors due to limited light penetration through deep tissue structures requiring complex fiber optic delivery. Recent advancements have introduced nanoscintillators as an internal light source for photosensitizers, triggered by targeted X-ray radiation, thus extending the applicability of PDT to deep-seated tumors. While the in vitro tumor cell killing mechanisms of PDT have been extensively documented, comprehensive in vivo studies elucidating the mechanisms underlying radiation-activated photodynamic therapy (radioPDT) remain limited. In this study, we demonstrated that protoporphyrin IX-based radioPDT augments ROS generation, leading to PC3 prostate tumor cell killing in vivo, impeding tumor growth. ROS production led to a reduction in tumor vascular density with corresponding intratumoral hypoxia, while tumor vascular maturity remained unaffected. These results shed light on the multifaceted effects of radioPDT on the tumor microenvironment, emphasizing the potential for synergistic radiotherapeutic strategies in cancer 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".