Twisted gastrulation expression in cholangiocellular and hepatocellular carcinoma
Bibliographic record
Abstract
AIMS: To assess the expression of Twisted gastrulation (TWSG1) protein, which regulates the activity of bone morphogenetic proteins (BMPs) in the extracellular space in malignant epithelial tumours of the liver. METHODS: Thirteen hepatocellular carcinoma (HCC) samples and 12 intrahepatic cholangiocellular carcinoma (CCA) samples were compiled into diagnosis-specific tissue microarrays. Sections were immunostained with a monoclonal antibody against TWSG1 and a polyclonal antibody against BMP4. Human cell lines were also used, including one HCC cell line (HepG2), three CCA cell lines (OZ, Huh-28, HuCCT-1) and a Papova-immortalised normal hepatocyte cell line (THLE-3) for western blot analysis (WBA). RESULTS: Immunostaining and WBA showed a stronger TWSG1 expression in CCA than in HCC. The difference in expression was significant (p<0.05), and the immunohistochemical signal was particularly evident in the malignant epithelial areas close to desmoplastic stroma in CCA and in the areas of glandular differentiation in HCC. No expression was seen in normal hepatocytes. Interestingly, BMP4 was fully expressed in CCA and only partly in HCC. WBA showed a band for BMP4 in both CCA and HCC cell lines. CONCLUSIONS: TWSG1 is expressed in both malignant epithelial carcinomas, although the level of expression is higher in CCA than in HCC and seems to correlate at least partially with BMP4 expression.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".