ReviewJournal of personalized medicine2025
Molecular Biomarkers for the Diagnosis and Prognostication of Pancreatic Ductal Adenocarcinoma.
Review in Journal of personalized medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Liquid biopsy biomarkers for early detection of gastrointestinal cancers: Current landscape and emerging technologies.Clinical and translational medicine · 2026Review
- Reframing pancreatic cancer diagnosis: metabolic signatures and the challenge of rule-out testing.Translational gastroenterology and hepatology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pancreatic ductal adenocarcinoma (PDAC) remains among the most aggressive malignancies in the United States. Advances in treatments have slowly increased survival rates; however, outcomes remain dismal, largely due to the insidious onset of the disease and lack of screening tests leading to diagnosis at more advanced disease stages. As we better understand the molecular mechanisms that drive PDAC, we can leverage this technology for early detection of new PDAC or recurrences and find more effective methods to track treatment response. Liquid biopsies are increasingly common for the treatment of many malignancies, leveraging better technology to detect scant quantities of circulating tumor cells (CTCs) or byproducts of tumor biology (e.g., exosomes and microRNA [miRNA]) in the blood stream. When combined with existing biomarkers like CA 19-9, there is promising research that improved diagnostic modalities may be available in the future. Furthermore, these technologies are being leveraged to better prognosticate patients with PDAC and potentially monitor treatment responses not captured by cross-sectional imaging, which may allow for real-time changes in therapeutic strategy. This manuscript will review the molecular mechanisms that drive PDAC development and the biomarkers available for diagnosis and prognostication. Much of the data presented is still investigational, though many trials are ongoing to translate these studies for clinical use.
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Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.