Oldfield, Lucy ORCID: 0000-0002-0839-402X and Costello, Eithne
(2023)
Where the metabolome meets the microbiome for pancreatic cancer detection.
Cell reports. Medicine, 4 (9).
101011-.
Official URL: http://dx.doi.org/10.1016/j.xcrm.2023.101011
Abstract
Risk prediction tools for pancreatic cancer are urgently sought to facilitate screening. Irajizad et al.<sup>1</sup> describe the performance of a risk predication model based on circulating microbial- and non-microbial metabolites for assessment of 5-year pancreatic cancer risk.
Item Type: | Article |
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Uncontrolled Keywords: | Pancreas, Humans, Pancreatic Neoplasms, Metabolome, Microbiota |
Divisions: | Faculty of Health and Life Sciences Faculty of Health and Life Sciences > Institute of Systems, Molecular and Integrative Biology |
Depositing User: | Symplectic Admin |
Date Deposited: | 02 Feb 2024 11:39 |
Last Modified: | 15 Mar 2024 05:09 |
DOI: | 10.1016/j.xcrm.2023.101011 |
Open Access URL: | https://doi.org/10.1016/j.xcrm.2023.101011 |
Related URLs: | |
URI: | https://livrepository.liverpool.ac.uk/id/eprint/3178351 |
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