Biomarkers, omics and artificial intelligence for early detection of pancreatic cancer
Language English Country England, Great Britain Media print-electronic
Document type Journal Article, Review
PubMed
39986585
DOI
10.1016/j.semcancer.2025.02.009
PII: S1044-579X(25)00037-9
Knihovny.cz E-resources
- Keywords
- Artificial intelligence, Biomarkers, Early detection, Omics, Pancreatic cancer,
- MeSH
- Early Detection of Cancer * methods MeSH
- Carcinoma, Pancreatic Ductal diagnosis genetics MeSH
- Genomics methods MeSH
- Humans MeSH
- Biomarkers, Tumor * MeSH
- Pancreatic Neoplasms * diagnosis genetics MeSH
- Artificial Intelligence * MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Review MeSH
- Names of Substances
- Biomarkers, Tumor * MeSH
Pancreatic ductal adenocarcinoma (PDAC) is frequently diagnosed in its late stages when treatment options are limited. Unlike other common cancers, there are no population-wide screening programmes for PDAC. Thus, early disease detection, although urgently needed, remains elusive. Individuals in certain high-risk groups are, however, offered screening or surveillance. Here we explore advances in understanding high-risk groups for PDAC and efforts to implement biomarker-driven detection of PDAC in these groups. We review current approaches to early detection biomarker development and the use of artificial intelligence as applied to electronic health records (EHRs) and social media. Finally, we address the cost-effectiveness of applying biomarker strategies for early detection of PDAC.
Biomedical Centre Faculty of Medicine in Pilsen Charles University Czech Republic
Department of Bioinformatics Hacettepe University Turkiye
Department of Biology University of Pisa Italy
Department of Biostatistics and Bioinformatics Acibadem Mehmet Ali Aydinlar University Turkiye
Department of Biotechnology Jamia Hamdard India
Department of Surgery and Cancer Imperial College London United Kingdom
Fondazione Pisana per la Scienza ONLUS Italy
Fondazione Pisana per la Scienza Scuola Normale Superiore di Pisa Italy
Institute of Health Sciences Acibadem Mehmet Ali Aydinlar University Turkiye
Liverpool Experimental Cancer Medicine Centre University of Liverpool Liverpool United Kingdom
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