Pre-diagnostic circulating bile acid concentrations and liver cancer risk: a nested case-control analysis of 12 cohorts
Bibliographic record
Abstract
BACKGROUND: Bile acids are produced in the liver and are important for lipid digestion. Higher-circulating bile acid levels, however, have been linked to metabolic disorders, inflammation, and gut microbiota dysbiosis, which have been implicated in liver carcinogenesis. To date, few epidemiological studies have explored the association between circulating bile acids and liver cancer risk. METHODS: We conducted a nested case-control study among 12 prospective cohort studies located in the United States. Fifteen prediagnostic circulating bile acids were measured from blood samples among 872 individuals who developed liver cancer and 872 matched control participants. Odds ratios (ORs) and 95% confidence intervals (CIs) were estimated using multivariable-adjusted conditional logistic regression analysis of circulating bile acid levels and liver cancer risk. RESULTS: Primary conjugated bile acid concentrations were positively associated with higher risk of liver cancer (OR per doubling in concentrations [log2] and 95% CI of glycocholic acid: 1.32, 1.24 to 1.40; glycochenodeoxycholic acid: 1.33, 1.24 to 1.43; taurocholic acid: 1.28, 1.22 to 1.35; and taurchenodeoxycholic acid: 1.32, 1.24 to 1.39). Secondary conjugated bile acids were also positively associated with liver cancer risk (doubling of concentrations OR ranged from 1.11 to 1.22). Unconjugated bile acid concentrations were generally not associated with liver cancer risk, except lithocholic acid (OR per doubling: 1.27, 1.16 to 1.39). When analyses were separated into the 2 main subtypes of liver cancer, hepatocellular carcinoma (HCC; 438 cases/438 controls) and intrahepatic cholangiocarcinoma (ICC; 111 cases/111 controls), significant heterogeneity was observed for primary conjugated bile acid concentrations (all P < .001) that showed positive significant associations with HCC but not ICC. CONCLUSIONS: These results suggest that bile acids may be important markers of HCC risk and contribute to hepatocarcinogenesis; however, further research using serial measurements is needed.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".