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-.
ISSN 2666-3791, 2666-3791
Official URL: https://doi.org/10.1016/j.xcrm.2023.101011
Abstract
Risk prediction tools for pancreatic cancer are urgently sought to facilitate screening. Irajizad et al.1 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 |
|---|---|
| Uncontrolled Keywords: | Pancreas, Humans, Pancreatic Neoplasms, Metabolome, Microbiota |
| Divisions: | Faculty of Health & Life Sciences Faculty of Health & Life Sciences > Inst. Systems, Molec & Integrative Biology > Inst. Systems, Molec & Integrative Biology |
| Depositing User: | Symplectic Admin |
| Date Deposited: | 02 Feb 2024 11:39 |
| Last Modified: | 16 Jun 2026 17:07 |
| DOI: | 10.1016/j.xcrm.2023.101011 |
| Open Access URL: | https://doi.org/10.1016/j.xcrm.2023.101011 |
| Related Websites: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3178351 |
| Disclaimer: | The University of Liverpool is not responsible for content contained on other websites from links within repository metadata. Please contact us if you notice anything that appears incorrect or inappropriate. |
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