Versican 3′‐untranslated region (3′‐UTR) functions as a ceRNA in inducing the development of hepatocellular carcinoma by regulating miRNA activity
Bibliographic record
Abstract
This study was designed to explore the role of versican in the development of hepatocellular carcinoma (HCC). Ectopic expression of the versican 3′‐untranslated region (3′‐UTR) was studied as a competitive endogenous RNA for regulating miRNA functions. We used this approach to modulate the expression of versican and its related proteins in 3′‐UTR transgenic mice and in the liver cancer cell line HepG2, stably transfected with the 3′‐UTR or a control vector. We demonstrated that transgenic mice expressing the versican 3′‐UTR developed HCC and increased expression of versican isoforms V0 and V1. HepG2 cells transfected with versican 3′‐UTR displayed increased proliferation, survival, migration, invasion, colony formation, and enhanced endothelial cell growth, but decreased apoptosis. We found that versican 3′‐UTR could bind to miRNAs miR‐133a, miR‐199a*, miR‐144, and miR‐431 and also interacted with CD34 and fibronectin. As a consequence, expression of versican, CD34, and fibronectin was up‐regulated by ectopic transfection of the versican 3′‐UTR, which was confirmed in HepG2 cells and in transgenic mice as compared with wild‐type controls. Transfection with siRNAs targeting the versican 3′‐UTR abolished the effects of the 3′‐UTR. Taken together, these results demonstrate that versican V0 and V1 isoforms play important roles in HCC development and that versican mRNAs compete with endogenous RNAs in regulating miRNA functions.—Fang, L., Du, W. W., Yang, X., Chen, K., Ghanekar, A., Levy, G., Yang, W., Yee, A. J., Lu, W.‐Y., Xuan, J. W., Gao, Z., Xie, F., He, C., Deng, Z., Yang, B. B. Versican 3′‐untranslated region (3′‐UTR) functions as a ceRNA in inducing the development of hepatocellular carcinoma by regulating miRNA activity. FASEB J. 27, 907–919 (2013). www.fasebj.org
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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".