Biomarkers for early diagnosis of pancreatic cancer
Abstract
Pancreatic ductal adenocarcinoma is an aggressive malignancy with a 5-year survival rate of approximately 5%. The lack of established strategies for early detection contributes to this poor prognosis. Although several novel candidate biomarkers have been proposed for earlier diagnosis, none have been adopted into routine clinical use. In this review, the authors examine the challenges associated with finding new pancreatic cancer diagnostic biomarkers and explore why translation of biomarker research for patient benefit has thus far failed. The authors also review recent progress and highlight advances in the understanding of the biology of pancreatic cancer that may lead to improvements in biomarker detection and implementation.
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Understanding and accounting for potential confounding factors is an important component of pancreatic ductal adenocarcinoma biomarker development.
“Understanding and accounting for potential confounding factors is an important component of pancreatic ductal adenocarcinoma biomarker development.68”
From Early detection of pancreatic cancer (2020) · cites this paper as [68]
Most major pancreatic ductal adenocarcinoma biomarker studies now incorporate control samples from patients with different diseases, such as chronic pancreatitis.
“Most major studies now incorporate control samples from patients with different diseases, such as chronic pancreatitis.68”
From Early detection of pancreatic cancer (2020) · cites this paper as [68]
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Proteome-based biomarkers in pancreatic cancer
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Discovery of putative pancreatic cancer biomarkers using subcellular proteomics
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Pancreatic Cancer: Proteomic Approaches to a Challenging Disease
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Self-citationMultianalyte profiling of serum cytokines for detection of pancreatic cancer
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Assessment of Soluble Angiogenic Markers in Pancreatic Cancer
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Cell-Free Plasma MicroRNA in Pancreatic Ductal Adenocarcinoma and Disease Controls
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Self-citationThe Marker State Space (MSS) Method for Classifying Clinical Samples
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Early detection of pancreatic cancer
Pereira, S. P., Oldfield, L., Ney, A., Hart, P. A., Keane, M. G., Pandol, S. J., Li, D., Greenhalf, W., Jeon, C. Y., Koay, E. J., et al. (2020) · The Lancet Gastroenterology & Hepatology · doi:10.1016/s2468-1253(19)30416-9 · Cited by 482 · see citing works
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Self-citation
- Authors
- Jenkinson, C., Earl, J., Ghaneh, P., Halloran, C., Carrato, A., Greenhalf, W., Neoptolemos, J., & Costello, E.
- Affiliations
- University of Liverpool (GB)
- Hospital Universitario Ramón y Cajal (ES)
- Corresponding author
- Costello, Eithne
- ORCID
- Venue
- Expert Review of Gastroenterology & Hepatology
- Publisher
- Informa UK Limited
- Published
- 2014-11-06
- Volume
- 9
- Issue
- 3
- Pages
- 305-315
- ISSN
- 1747-4124 (ISSN-L)
- 1747-4132
- OpenAlex
- W2000145472
- Cited by
- 42
- References
- 107
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 2 · 2023: 3 · 2022: 4 · 2021: 3 · 2020: 5 · 2019: 2 · 2018: 7 · 2017: 4 · 2016: 8 · 2015: 2
- FWCI
- 2.25
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Expert Review of Gastroenterology & Hepatology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Pancreatic Cancer UK (2011 Grant, 2013 RIF)
- Cancer Research UK (11883, 16812, CR976, 17680, 15957, 16186)
- National Institute for Health and Care Research (NF-SI-0510-10126, 08/29/02)
- Topics
- Health Sciences › Medicine › Oncology › Pancreatic and Hepatic Oncology Research
- Health Sciences › Medicine › Surgery › Pancreatitis Pathology and Treatment
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
- Keywords
- pancreatic cancer, pancreatic ductal adenocarcinoma, early diagnosis, diagnostic biomarkers, biomarker translation, tumor biology, early detection
- MeSH terms
- Adenocarcinoma, Autoantibodies, DNA, Neoplasm, Humans, Neoplastic Cells, Circulating, Pancreatic Juice, Pancreatic Neoplasms, RNA, Messenger, Saliva, Biomarkers, Tumor, Cytokines, MicroRNAs, Early Detection of Cancer, Translational Research, Biomedical
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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