Comprehensive multi-omics profiling uncover potential precision strategies for resectable pancreatic cancer
Bibliographic record
Abstract
Introduction: The precise origin of a periampullary adenocarcinoma is often difficult to determine due to tumor destruction of normal periampullary anatomy, and presence of epithelial dysplasia.The aim of this study is to evaluate prognostic significance of histologic type in periampullary carcinoma.Method: Microscopic slides from 110 consecutive pancreatoduodenectomies were reviewed (40 pancreatic, 47 biliary, 17 ampullary, and 6 duodenal adenocarcinomas) and were classified into intestinal type or pancreatobiliary type.Clinicopathological factors were compared between 55 pancreatobiliary type, 15 intestinal type differentiation and 40 pancreatic cancer.Result: Most distal CBD cancers (83.0%[39 of 47]) and ampulla of Vater cancers (64.7% [11 of 17]) were pancreatobiliary type.Intestinal type had significantly more patients with well-differentiated histology (33.3% vs. 14.3%, p¼0.005) and less patients with perineural invasion (46.7% vs. 76.4%,p¼0.025), advanced T stage (more than T3, 46.7% vs.74.5%, p¼0.05), and systemic recurrence (50.0% vs. 93.8%,p¼0.007) than pancreatobiliary type.The overall survival rate of intestinal type was better than that of pancreatobiliary type (75.8% vs. 52.7%)or that of pancreatic cancer (75.8% vs.39.4%)All patients with intestinal type in CBD cancer (n¼6) survived more than 5 years.Conclusion: Although there was no statistical significance because of small number of included patients, histologic phenotype including intestinal and pancreatobliary type showed the possibility as a prognostic factor in periampullary cancer excluding pancreatic cancer.Further large scale study is needed to demonstrate the prognostic significance of histologic phenotype.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".