Mutation and Expression of the beta-Catenin-interacting Protein ICAT in Human Colorectal Tumors
Bibliographic record
Abstract
BACKGROUND: Aberrant activation of Wnt signaling caused by mutations in the tumor suppressor adenomatous polyposis coli or beta-catenin is a critical event in the development of human colorectal tumors. We have recently identified the ICAT gene, which encodes a small protein that interacts with beta-catenin and represses Wnt signaling. METHODS: We examined the prevalence of mutations in the entire ICAT coding sequence and intronic splice donor and acceptor regions of ICAT by PCR-SSCP and also the expression of the ICAT gene by RT-PCR. RESULTS: The ICAT gene was mapped to chromosome 1p36.1-p36.2, which is implicated in the pathogenesis of various types of cancers. However, no mutations in ICAT were detected among 128 colorectal tumors. Instead, ICAT was found to be overexpressed in almost half of colorectal carcinomas. Cases exhibiting ICAT overexpression showed a significantly higher incidence of well-differentiated adenocarcinoma and positive lymphatic permeation. CONCLUSION: Our results suggest that ICAT is not the putative tumor suppressor on 1p36.1-p36.2, although aberrant overexpression of ICAT may play a role in the pathogenesis of colorectal carcinomas.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".