Expressions of some vital molecules: glioblastoma multiforme versus normal tissues
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: The aim of this study was to assess plasma and/or tissue levels of adhesion and apoptotic molecules, cytokines, nitric oxide metabolites, levels of lipid peroxidation, myeloperoxidase and superoxide dismutase in patients with glioblastoma multiforme and controls. METHODS: All the molecules were evaluated in 25 tumors and 30 controls: 15 were normal healthy subjects for plasma and 15 were normal brain tissues that were collected during autopsy. Commercially available kits for measurements were used. RESULTS: Superoxide dismutase was significantly lower in tumors, while all other molecules were significantly elevated compared to the controls (p=0.0001). Superoxide dismutase negatively correlated with plasma interleukin-1beta (p=0.04) and plasma Fas (p=0.016). Plasma intercellular adhesion molecule-1 and vascular cell adhesion molecule-1 correlated positively with plasma 3-nitrotyrosine (p=0.019) and nitrite/nitrate (p=0.019), respectively. Furthermore, plasma interleukin-1beta also positively correlated with plasma nitrite/nitrate (p=0.003). DISCUSSION: These results suggest that there is a complex relationship between pro- and anti-apoptotic molecules in glioblastoma multiforme pathogenesis. Thus, targeting multiple pathways with advanced chemotherapeutic agents or radiotheraupetic regimens following total resections might be helpful in patients with glioblastoma multiforme since preventing a single pathway does not seem to be reasonable.
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.
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 | 0.002 |
| 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 | 0.001 |
| 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 it