ED-B FIBRONECTIN IN NON–SMALL CELL LUNG CARCINOMA
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
Fibronectin (FN), a matrix glycoprotein, has been shown to undergo alternative splicing exclusively during organogenesis and tumorigenesis. One such splice variant, extradomain-B (ED-B) FN, is normally absent in normal adult tissues and is proposed to be a marker of tumoral angiogenesis. The present study was aimed at elucidating whether ED-B FN is expressed in non-small cell lung carcinomas and whether such aberrant expression correlates with tumoral angiogenesis. Frozen tissues from 28 non-small cell lung carcinomas (consisting of both squamous cell carcinomas and adenocarcinomas) along with paired normal tissue samples were collected from the tissue bank collection of the Department of Pathology, London Health Sciences Center, Canada. Frozen tissue specimens were subjected to RNA extraction and real time reverse transcriptase-polymerase chain reaction (RT-PCR) with respect to total and ED-B FN isoform expression. In addition, paraffin-embedded tissue sections from the same cases were collected for histological analysis using ED-B FN antibody. Tumor tissues were further stained with CD34 antibody and analyzed semiquantitatively for tumor microvessel density. The results demonstrate up-regulation of ED-B FN mRNA levels in lung tumor tissues as compared to paired normal tissues. Furthermore, ED-B FN expression was localized specifically to tumor cells and was found to correlate with tumor microvessel density. These findings provide evidence of possible involvement of ED-B FN in pulmonary tumoral angiogenesis. Furthermore, ED-B FN may potentially be used as a diagnostic marker and a target for antiangiogenic therapy.
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 | 0.001 | 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 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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