Identification des circuits biologiques induits par le virus de l'hépatite C et leurs implications dans le développement du carcinome hepatocellulaire
Bibliographic record
Abstract
By combining a cell culture system of hepatocyte-like cells with purified hepatitis C virus (HCV), we effectively simulated chronic infection in vitro. We found this infection model induces a transcriptomic profile of chronic HCV patients at high risk of developing hepatocellular carcinoma (HCC). Using this model, we have uncovered the functional role of EGFR as a driver of the HCC risk signature and revealed candidate drivers of the molecular recalibration of hepatocytes leading to liver cancer. In an approach to study liver disease in vivo, we opted to screen for protein phosphatase expression in liver biopsies of chronic HCV patients. We observed a downregulation of PTPRD, a well-known tumor suppressor. We demonstrated that this effect is mediated by an increase in miR-135a-5p which targets PTPRD mRNA. Moreover, in silico analysis shows that PTPRD expression in adjacent liver tissue of HCC patients correlates with survival and reduced tumor recurrence after surgical resection.
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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".