Differential expression of LEF1/TCFs family members in colonic carcinogenesis
Bibliographic record
Abstract
Lef1/Tcfs family, which includes Lef1, Tcf1, Tcf3, and Tcf4, is required for the transcriptional activation induced by β-catenin. However, whether all the members play the same role in colon carcinogenesis is not clear. We found that Lef1 and Tcf1, but not Tcf3 and Tcf4, were upregulated at both mRNA and protein level with the formation of colon tumor in AOM-DSS mouse model. The same profiles were seen in human specimens with the evolvement from adenoma to adenocarcinoma. Additionally, Lef1 and Tcf1 were correlated with a subgroup of Wnt target genes, including Lgr5, a key gene of intestinal stem cell. Further studies supported the role of Tcf1 on sphere formation and transcriptional regulation of Lgr5 in vitro. Interestingly, 3' UTR of each Lef1/Tcfs member were targeted by diverse miRNAs, which were negatively correlated with respective member in human colon cancer specimens. Furthermore, these miRNAs were verified to repress Tcf1 and Lef1 in vitro. Taken together, Lef1 and Tcf1 showed oncogenic effect in colonic carcinogenesis. Cellular context of miRNAs might play important roles in carcinogenesis by altering the expression pattern of Lef/Tcfs members. © 2017 Wiley Periodicals, Inc.
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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".