Biomarkers, omics and artificial intelligence for early detection of pancreatic cancer

Murray, Kate and Oldfield, Lucy and Stefanova, Irena and Gentiluomo, Manuel and Aretini, Paolo and O’Sullivan, Rachel and Greenhalf, William and Paiella, Salvatore and Aoki, Mateus N and Pastore, Aldo and Birch-Ford, James and Rao, Bhavana Hemantha and Uysal-Onganer, Pinar and Walsh, Caoimhe M and Hanna, George B and Narang, Jagriti and Sharma, Pradakshina and Campa, Daniele and Rizzato, Cosmeri and Turtoi, Andrei and Sever, Elif Arik and Felici, Alessio and Sucularli, Ceren and Peduzzi, Giulia and Öz, Elif and Sezerman, Osman Uğur and Van der Meer, Robert and Thompson, Nathan and Costello, Eithne (2025) Biomarkers, omics and artificial intelligence for early detection of pancreatic cancer. Seminars in Cancer Biology, 111. pp. 76-88. ISSN 1044-579X (https://doi.org/10.1016/j.semcancer.2025.02.009)

[thumbnail of Murray-etal-2025-Biomarkers-omics-and-artificial-intelligence-for-early-detection-of-pancreatic-cancer] Text. Filename: Murray-etal-2025-Biomarkers-omics-and-artificial-intelligence-for-early-detection-of-pancreatic-cancer.pdf
Accepted Author Manuscript
Restricted to Repository staff only until 1 January 2099.

Download (629kB) | Request a copy

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.

ORCID iDs

Murray, Kate, Oldfield, Lucy, Stefanova, Irena, Gentiluomo, Manuel, Aretini, Paolo, O’Sullivan, Rachel, Greenhalf, William, Paiella, Salvatore, Aoki, Mateus N, Pastore, Aldo, Birch-Ford, James, Rao, Bhavana Hemantha, Uysal-Onganer, Pinar, Walsh, Caoimhe M, Hanna, George B, Narang, Jagriti, Sharma, Pradakshina, Campa, Daniele, Rizzato, Cosmeri, Turtoi, Andrei, Sever, Elif Arik, Felici, Alessio, Sucularli, Ceren, Peduzzi, Giulia, Öz, Elif, Sezerman, Osman Uğur, Van der Meer, Robert ORCID logoORCID: https://orcid.org/0000-0002-9442-1628, Thompson, Nathan and Costello, Eithne;