Bibliographic record
Abstract
The term "metronomic" was recently introduced to describe continuous low-dose administration of chemotherapeutics following the discovery that this causes minimal side effects (Hanahan et al. 2000, J Clin Invest, 105(8), 1045-1047; Bisland et al. 2004, Photochem Photobiol, 80, 22-30). Metronomic dosing in PDT is proposed by analogy and the rationale is as a means to improve the tumor-specific response through cell death by apoptosis. We investigated the molecular mechanisms associated with apoptosis following ALA-PDT treatment in two brain glioma cell lines, namely U87 (human) and CNS-1 (rat) cells. We used the high energy of light at a short time (acute PDT) and the low energy of light at a long time of exposure (metronomic PDT) to treat both cell lines. To identify potential cell death pathways associated with metronomic PDT, microarray analysis of gene expression was conducted on RNA from glioblastoma cells with metronomic ALA-PDT. The apoptosis mechanism for metronomic ALA-PDT occurred via the inhibition of LTbetaR and the transcription factor NF-kappaB. This inhibition was ALA concentration dependent.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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".