Model of the early development of diffuse gastric cancer in E‐cadherin mutation carriers and its implications for patient screening
Bibliographic record
Abstract
Hereditary diffuse gastric cancer (HDGC) is a familial cancer syndrome caused, in 30-40% of cases, by germline mutations of the E-cadherin/CDH1 gene. The presence of clinically undetectable early gastric cancers has been previously reported in ten of ten prophylactic gastrectomies from germline E-cadherin mutation carriers. In the present study, detailed maps of the distribution of invasive cancers in nine of these ten stomachs were produced and precursor lesions of HDGC searched for. The nine gastrectomy specimens contained from 1 to 161 foci of early diffuse gastric cancer, occupying 0.005-2.96% of the gastric mucosa. Seven specimens contained focal in situ signet ring carcinoma. Pagetoid spread of signet ring cells was observed beneath the epithelial lining of gastric foveolae/glands. Helicobacter pylori organisms and associated pathology were absent from all cases. Two-dimensional maps of the gastrectomy specimens revealed lesions throughout the gastric mucosa without evidence of antral clustering. The distribution and size of the cancers in the gastrectomy specimens indicate that standard endoscopic screening with random or geographically targeted biopsies is unlikely to provide sufficiently sensitive clinical screening for at-risk individuals. An in situ precursor of signet ring carcinoma was identified and a model for neoplastic progression in the setting of HDGC is proposed.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".