Epithelial–mesenchymal transition changes in nonsmall cell lung cancer patients with early COPD
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
Background Epithelial–mesenchymal transition (EMT) might be central to lung cancer development in smokers and COPD. We illustrate EMT changes in a broader demographic of patient groups who were diagnosed with nonsmall cell lung cancer (adenocarcinoma and squamous cell carcinoma). These included COPD current and ex-smokers, patients with small airway disease and normal lung function smokers compared to normal controls. Methods We had access to surgically resected small airway tissue from 46 subjects and assessed for airway wall thickness and immunohistochemically for the EMT biomarkers E-cadherin, N-cadherin, S100A4, vimentin and epidermal growth factor receptor (EGFR). All tissue analysis was done with a computer and microscope-assisted Image-Pro Plus 7.0 software. Results Airway wall thickness significantly increased across all pathological groups (p<0.05) compared to normal controls. Small airway epithelial E-cadherin expression markedly decreased (p<0.01), and increases in N-cadherin, vimentin, S100A4 and EGFR expression were observed in all pathological groups compared to normal controls (p<0.01). Vimentin-positive cells in the reticular basement membrane, lamina propria and adventitia showed a similar trend to epithelium across all pathological groups (p<0.05); however, such changes were only observed in reticular basement membrane for S100A4 (p<0.05). Vimentin was higher in adenocarcinoma versus squamous cell carcinoma; in contrast, S100A4 was higher in the squamous cell carcinoma group. EGFR and N-cadherin expression in both phenotypes was markedly higher than E-cadherin, vimentin and S100A4 (p<0.0001). Conclusion EMT is an active process in the small airway of smokers and COPD diagnosed with nonsmall cell lung cancer, contributing to small airway remodelling and cancer development as seen in these patients.
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 | 0.000 | 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) | 0.001 | 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