Elevate Level of Glycosaminoglycans and Altered Sulfation Pattern of Chondroitin Sulfate Are Associated with Differentiation Status and Histological Type of Human Primary Hepatic Carcinoma
Bibliographic record
Abstract
OBJECTIVES: The characteristics of glycosaminoglycans (GAGs) in many carcinomas have been reported to be different from those in normal tissues, which can be used as prognostic indices in some cancers. However, the difference in GAG characteristics among various differentiation status or histological types of the same cancer has not been described. The aim of this study was to investigate the relationship between GAG characteristics and human primary hepatic carcinomas of divers differentiation status or histological type. METHODS: GAGs from intrahepatic cholangiocarcinomas and differently differentiated hepatocellular carcinomas were extracted, purified and enzymatically digested. Their content, relative molecular size distribution and disaccharide composition were analyzed and compared using electrophoresis and high-performance liquid chromatography. RESULTS: A progressive increase in the content of chondroitin sulfate, low molecular size GAGs, and nonsulfated and disulfated chondroitin sulfate disaccharide units, together with a gradual decrease in heparan sulfate, have been found as the differentiation status of hepatocellular carcinoma became poorer. A significant increase in hyaluronic acid, which only slightly increased in hepatocellular carcinoma, was found in intrahepatic cholangiocarcinomas. CONCLUSION: The alterations in GAG characteristics in primary hepatic carcinoma were associated with both the differentiation status and the histological type of the tumor.
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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 | 0.000 | 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) | 0.001 | 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".