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Molecular subtypes of pancreatic cancer
Open accessAbstract
Cancers that appear morphologically similar often have dramatically different clinical features, respond variably to therapy and have a range of outcomes. Compelling evidence now demonstrates that differences in the molecular pathology of otherwise indistinguishable cancers substantially impact the clinical characteristics of the disease. Molecular subtypes now guide preclinical and clinical therapeutic development and treatment in many cancer types. The ability to predict optimal therapeutic strategies ahead of treatment improves overall patient outcomes, minimizing treatment-related morbidity and cost. Although clinical decision making based on histopathological criteria underpinned by robust data is well established in many cancer types, subtypes of pancreatic cancer do not currently inform treatment decisions. However, accumulating molecular data are defining subgroups in pancreatic cancer with distinct biology and potential subtype-specific therapeutic vulnerabilities, providing the opportunity to define a de novo clinically applicable molecular taxonomy. This Review summarizes current knowledge concerning the molecular subtyping of pancreatic cancer and explores future strategies for using a molecular taxonomy to guide therapeutic development and ultimately routine therapy with the overall goal of improving outcomes for this disease.
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“consensus has best coalesced around two major subtypes, classical and basal-like, with some populations showing mixed features135”
From Pancreatic cancer: Advances and challenges (2023) · cites this paper as [135]
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Metadata
- Authors
- Collisson, E. A., Bailey, P., Chang, D. K., & Biankin, A. V.
- Affiliations
- University of California, San Francisco (US)
- University of Glasgow (GB)
- Glasgow Royal Infirmary (GB)
- Corresponding author
- Biankin, Andrew V.
- Venue
- Nature Reviews Gastroenterology & Hepatology
- Published
- 2019-02-04
- Volume
- 16
- Issue
- 4
- Pages
- 207-220
- ISSN
- 1759-5045 (ISSN-L)
- 1759-5053
- OpenAlex
- W2913268845
- Cited by
- 892
- References
- 119
- Citations by year
- 2026: 69 · 2025: 87 · 2024: 168 · 2023: 142 · 2022: 135 · 2021: 157 · 2020: 104 · 2019: 28
- FWCI
- 10.11
- Type
- journal article
- Language
- en
- Open access
- green
- eprints.gla.ac.uk
- Licence
- cc-by-sa
- www.springer.com/tdm (tdm)
- Locations
- Nature Reviews Gastroenterology & Hepatology (publishedVersion)
- PubMed (publishedVersion)
- ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) (submittedVersion, cc-by-sa)
- Funders
- Pancreatic Cancer UK (FLF2015_04_GLASGOW)
- Wellcome Trust (103721/Z/14/Z)
- Cancer Research UK (23526, 17263)
- Medical Research Council (MR/N005813/1)
- Topics
- Health Sciences › Medicine › Oncology › Pancreatic and Hepatic Oncology Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
- Health Sciences › Medicine › Surgery › Pancreatitis Pathology and Treatment
- Keywords
- pancreatic cancer, molecular subtypes, molecular taxonomy, molecular subtyping, therapeutic targeting, treatment response, histological classification
- MeSH terms
- Clinical Decision-Making, Genetic Markers, Humans, Pancreatic Neoplasms, Prognosis, Biomarkers, Tumor, Risk Assessment, Carcinoma, Pancreatic Ductal
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.
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