volume 111 pages 76-88

Biomarkers, Omics and Artificial Intelligence for Early Detection of Pancreatic Cancer.

Kate Murray 1
Lucy Oldfield 1
Irena Stefanova 1
Manuel Gentiluomo 2
Paolo Aretini 3
Rachel O'Sullivan 1
William Greenhalf 1
Salvatore Paiella 4
Mateus N. Aoki 5
Aldo Pastore 6
James Birch-Ford 1
Bhavana Hemantha Rao 7
Pinar Uysal-Onganer 8
Caoimhe M. Walsh 9
George B. Hanna 9
Jagriti Narang 10
Pradakshina Sharma 10
Daniele Campa 2
Cosmeri Rizzato 2
Andrei Turtoi 11
Publication typeJournal Article
Publication date2025-06-01
scimago Q1
wos Q1
SJR4.016
CiteScore35.0
Impact factor15.7
ISSN1044579X, 10963650
Abstract
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.
Found 
Found 

Top-30

Journals

1
Biomedicines
1 publication, 6.67%
Seminars in Cancer Biology
1 publication, 6.67%
Diabetology and Metabolic Syndrome
1 publication, 6.67%
Acta Pharmaceutica Sinica B
1 publication, 6.67%
PLoS ONE
1 publication, 6.67%
Biologics: Targets and Therapy
1 publication, 6.67%
Frontiers in Oncology
1 publication, 6.67%
World Journal of Gastrointestinal Oncology
1 publication, 6.67%
Cancers
1 publication, 6.67%
United European Gastroenterology Journal
1 publication, 6.67%
Computational and Structural Biotechnology Journal
1 publication, 6.67%
JAMA network open
1 publication, 6.67%
Gastroenterology
1 publication, 6.67%
Current Oncology
1 publication, 6.67%
Talanta
1 publication, 6.67%
1

Publishers

1
2
3
4
5
Elsevier
5 publications, 33.33%
MDPI
3 publications, 20%
Springer Nature
1 publication, 6.67%
Public Library of Science (PLoS)
1 publication, 6.67%
Taylor & Francis
1 publication, 6.67%
Frontiers Media S.A.
1 publication, 6.67%
Baishideng Publishing Group
1 publication, 6.67%
Wiley
1 publication, 6.67%
American Medical Association (AMA)
1 publication, 6.67%
1
2
3
4
5
  • We do not take into account publications without a DOI.
  • Statistics recalculated weekly.

Are you a researcher?

Create a profile to get free access to personal recommendations for colleagues and new articles.
Metrics
15
Share
Cite this
GOST |
Cite this
GOST Copy
Murray K. et al. Biomarkers, Omics and Artificial Intelligence for Early Detection of Pancreatic Cancer. // Seminars in Cancer Biology. 2025. Vol. 111. pp. 76-88.
GOST all authors (up to 50) Copy
Murray K., Oldfield L., Stefanova I., Gentiluomo M., Aretini P., O'Sullivan R., Greenhalf W., Paiella S., Aoki M. N., Pastore A., Birch-Ford J., Rao B. H., Uysal-Onganer P., Walsh C. M., Hanna G. B., Narang J., Sharma P., Campa D., Rizzato C., Turtoi A. Biomarkers, Omics and Artificial Intelligence for Early Detection of Pancreatic Cancer. // Seminars in Cancer Biology. 2025. Vol. 111. pp. 76-88.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1016/j.semcancer.2025.02.009
UR - https://linkinghub.elsevier.com/retrieve/pii/S1044579X25000379
TI - Biomarkers, Omics and Artificial Intelligence for Early Detection of Pancreatic Cancer.
T2 - Seminars in Cancer Biology
AU - Murray, Kate
AU - Oldfield, Lucy
AU - Stefanova, Irena
AU - Gentiluomo, Manuel
AU - Aretini, Paolo
AU - O'Sullivan, Rachel
AU - Greenhalf, William
AU - Paiella, Salvatore
AU - Aoki, Mateus N.
AU - Pastore, Aldo
AU - Birch-Ford, James
AU - Rao, Bhavana Hemantha
AU - Uysal-Onganer, Pinar
AU - Walsh, Caoimhe M.
AU - Hanna, George B.
AU - Narang, Jagriti
AU - Sharma, Pradakshina
AU - Campa, Daniele
AU - Rizzato, Cosmeri
AU - Turtoi, Andrei
PY - 2025
DA - 2025/06/01
PB - Elsevier
SP - 76-88
VL - 111
SN - 1044-579X
SN - 1096-3650
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2025_Murray,
author = {Kate Murray and Lucy Oldfield and Irena Stefanova and Manuel Gentiluomo and Paolo Aretini and Rachel O'Sullivan and William Greenhalf and Salvatore Paiella and Mateus N. Aoki and Aldo Pastore and James Birch-Ford and Bhavana Hemantha Rao and Pinar Uysal-Onganer and Caoimhe M. Walsh and George B. Hanna and Jagriti Narang and Pradakshina Sharma and Daniele Campa and Cosmeri Rizzato and Andrei Turtoi},
title = {Biomarkers, Omics and Artificial Intelligence for Early Detection of Pancreatic Cancer.},
journal = {Seminars in Cancer Biology},
year = {2025},
volume = {111},
publisher = {Elsevier},
month = {jun},
url = {https://linkinghub.elsevier.com/retrieve/pii/S1044579X25000379},
pages = {76--88},
doi = {10.1016/j.semcancer.2025.02.009}
}