Emerging Evidence for the Clinical Relevance of Pancreatic Cancer Exosomes
Bibliographic record
Abstract
The last 5 years have seen a dramatic increased interest in the field of exosome biology. Although much is unknown about the role of exosomes in human health and disease, disparate scientific disciplines are recognizing the highly conserved role that exosomes play in fundamental biological processes. Recently, there have been intriguing discoveries defining the role of exosomes in cancer biology. We performed a structured review of the English-language literature using the PubMed database searching for articles relating to exosomes and pancreatic ductal adenocarcinoma (PDAC). Articles were screened for relevance and content to judge for inclusion. Evidence implicates exosomes in the pathogenesis, local progression, metastasis, immune evasion, and intercellular communication of PDAC. Basic science discoveries in exosome biology have the potential to change the clinical management of PDAC, where, despite advances in early detection, diagnosis, staging, chemotherapy, and surgery, survival rates have been stagnant for decades and PDAC remains the most deadly human gastrointestinal malignancy.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".