Liquid biopsies in pancreatic cancer: targeting the portal vein
Bibliographic record
Abstract
Abstract Pancreatic cancer is a highly lethal malignancy with poor overall survival due to silent progression until primary tumor growth or metastatic dissemination develops clinical symptoms. Even in the minority of patients with early diagnosis and candidacy for curative intent surgery, postoperative recurrence after surgical resection is very frequent. Due to these findings, efforts to identify minimally invasive ways to provide earlier diagnosis and enhanced prognostication are increasingly warranted. Liquid biopsies assessing for tumor derived materials shed into the blood are a promising tool to accomplish this goal; however, in pancreatic cancer, peripheral blood analyses remain dependent on the degree of tumor burden with a prohibitively low yield until the cancer is widely metastatic. To overcome this limitation, increasing literature has emerged evaluating the possibility of portal venous blood as a new, potentially higher yield liquid biopsy target in pancreatic cancer. This review will discuss the current literature and clinical application potential of mesenteric vasculature, or portal venous blood, as liquid biopsies in the diagnosis, prognosis and management of patients with pancreatic cancer.
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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 | 0.001 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".