Immunohistochemical study on tumor angiogenic factors in non-small cell lung cancer.
Bibliographic record
Abstract
BACKGROUND: In order to elucidate the roles of tumor angiogenesis in lung carcinogenesis, the expressions of several angiogenic factors in lung carcinoma tissues were examined. MATERIALS AND METHODS: Tissue specimens from 112 cases of resected non-small cell lung cancer (NSCLC) were studied. The expressions of platelet-derived endothelial cell growth factor (PD-ECGF) and vascular endothelial growth factor (VEGF) were examined immunohistochemically. Microvessel density (MVD) was also evaluated. RESULTS: VEGF-positive cases were observed more frequently in advanced stage lung cancers than in early cancers, and VEGF-positive tumors had higher MVD than VEGF-negative tumors, while such differences were not observed for PD-ECGF. In squamous cell carcinoma, the patients with high-MVD tumor had significantly worse survival than those with low-MVD tumor. CONCLUSIONS: Our results suggest that VEGF plays an important role in angiogenesis of lung cancers, while the contribution of PD-ECGF may be limited.
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 | 0.000 | 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".