ENDOSCOPICALLY TREATED CRONKHITE-CANADA SYNDROME ASSOCIATED WITH MINUTE INTRAMUCOSAL GASTRIC CANCER: AN ANALYSIS OF MOLECULAR PATHOLOGY
Bibliographic record
Abstract
There have been no reports of Cronkhite-Canada syndrome (CCS) associated gastric cancer resected with endoscopy because it is very difficult to identify small cancers that are candidates for endoscopic resection. We report a case of CCS with gastric cancer treated with endoscopic submucosal dissection, and we evaluate the molecular pathological analysis of malignant transformation in patients with CCS. A 74-year-old man had an advanced rectal cancer and gastrointestinal polyposis after presenting with hypoproteinemia, partial hair loss and atrophic nails as well as hyperpigmentation on the hands. He was diagnosed as having CCS. On upper endoscopy, a 7 mm discolored polyp with an irregular microvascular pattern revealed by magnified narrow-band imaging (NBI) was identified in gastric diffuse CCS polyposis. This lesion was treated with endoscopic submucosal dissection and diagnosed as a flat, elevated-type, mucosal well-differentiated tubular adenocarcinoma without lymphatic or venous infiltration, and with tumor-free margins. Microsatellite instability was detected in both the cancer and the surrounding CCS polyps. Mucin-histochemical analysis of the cancer area showed the complete intestinal type, and thus may have differentiated the CCS polyps from that of the common gastric hyperplastic polyps. This case illustrates that a clue to detecting small cancers may be to look for the discolored lesion among reddish CCS polyposis and thereafter to observe the irregular vascular pattern with NBI endoscopy. From the viewpoint of genetic alterations, patients with CCS polyps are considered to be at high risk for developing gastric cancer, and therefore careful follow-up examinations are necessary for the early detection of malignancies.
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".