Cronkhite–Canada syndrome: An investigation in clinical features and pathogenesis
Bibliographic record
Abstract
OBJECTIVE: This study aimed to investigate the clinical features and potential pathogenesis of a rare nonhereditary polyposis syndrome, Cronkhite-Canada syndrome (CCS). METHODS: Medical records of eight patients with CCS who were admitted to our hospital from January 2005 to November 2019 were reviewed. Transcriptome profiling was performed in one patient to investigate its difference between gastric polyp tissue and normal mucosa. Differentially expressed genes (DEGs) were determined for functional analysis. The expression of inhibin beta A (INHBA) was further assessed by using immunohistochemistry. RESULTS: All patients presented with gastrointestinal polyposis, accompanied by diarrhea, skin hyperpigmentation, hair loss and nail dystrophy. Hyperplastic polyps were observed in seven patients, tubular adenoma in two, inflammatory polyps in one and hamartomatous polyps in one, respectively. All patients underwent comprehensive treatment and five achieved clinical remission. A total of 2107 DEGs, including 1265 upregulated and 842 downregulated, were found in the gastric polyp. Gene ontology analysis showed that upregulated genes were significantly enriched in the positive regulation of cell proliferation, epithelium development and angiogenesis. A protein-protein interaction analysis suggested that INHBA was at the center of the interaction network and might play an important role in CCS. Immunohistochemistry confirmed that INHBA expression was upregulated in CCS gastric polyps. CONCLUSIONS: CCS is a rare disease and its diagnosis mainly depends on typical clinical manifestations, endoscopic findings and histological features. INHBA upregulation may contribute to its pathogenesis.
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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 | 0.001 |
| 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".