Identification of a serum proteomic biomarker panel using diagnosis specific ensemble learning and symptoms for early pancreatic cancer detection
Our ensemble modelling technique outperformed CA19-9, individual biomarkers and indices developed with prevailing algorithms in distinguishing patients with non-specific but concerning symptoms from those with PDAC, with implications for improving its early detection in individuals at risk.
Authors
- Eithne Costello (ORCID: https://orcid.org/0000-0002-0104-8992)
- Alexander Ney (ORCID: https://orcid.org/0000-0003-4868-2832)
- Alexey A. Zaikin (ORCID: https://orcid.org/0000-0001-7540-1130)
- Giuseppe Fusai (ORCID: https://orcid.org/0000-0002-8784-6919)
- Oleg B. Blyuss (ORCID: https://orcid.org/0000-0002-0194-6389)
- Nuno R. Nené (ORCID: https://orcid.org/0000-0002-4275-0649)
- Aleksandra Gentry‐Maharaj (ORCID: https://orcid.org/0000-0001-7270-9762)
- Pilar Acedo
- Eva Sedlak
- Norman Williams (ORCID: https://orcid.org/0000-0001-6496-312X)
- Stephen P. Pereira (ORCID: https://orcid.org/0000-0003-0821-1809)
- Harry J. Whitwell (ORCID: https://orcid.org/0000-0001-8987-4158)
- Usha Menon (ORCID: https://orcid.org/0000-0003-3708-1732)
Institutions
- National Research University Higher School of Economics (RU)
- University of Liverpool (GB)
- Queen Mary University of London (GB)
- Sechenov University (RU)
- The Royal Free Hospital (GB)
- MRC Clinical Trials Unit at UCL (GB)
- London Women's Clinic (GB)
- University College London (GB)
- Imperial College London (GB)
Publication Details
- Journal
- PLoS Computational Biology
- Published
- 2024-08-29
- DOI
- https://doi.org/10.1371/journal.pcbi.1012408
- Citations
- 3
- Primary Topic
- Pancreatic and Hepatic Oncology Research
- Type
- article
- Field-Weighted Citation Impact
- 0.85
Funders
- Pancreatic Cancer UK
- Barts Charity
- Cancer Research UK
- National Institute for Health and Care Research
- University College London
- National Research University Higher School of Economics
- The Wellcome Trust DBT India Alliance
- Medical Research Council
- Engineering and Physical Sciences Research Council