Development and validation of a machine learning prognostic model based on an epigenomic signature in patients with pancreatic ductal adenocarcinoma
We analyzed methylation data to develop a classifier for the TP53 and KRAS mutational status. Four prognostic clusters were pointed out and a prognostic model using a CpG site was validated in an independent cohort. Our results evidence that the proposed use of methylation data facilitates risk stratification for PDAC.
Authors
- Nicola Altini (ORCID: https://orcid.org/0000-0001-7353-4968)
- Vitoantonio Bevilacqua (ORCID: https://orcid.org/0000-0002-3088-0788)
- V. Mongelli (ORCID: https://orcid.org/0000-0001-6022-6325)
- Gian Maria Zaccaria (ORCID: https://orcid.org/0000-0001-5643-5917)
- Francescomaria Marino
Institutions
- Polytechnic University of Bari (IT)
Publication Details
- Journal
- International Journal of Medical Informatics
- Published
- 2025-03-23
- DOI
- https://doi.org/10.1016/j.ijmedinf.2025.105883
- Citations
- 3
- Primary Topic
- Epigenetics and DNA Methylation
- Type
- article
- Field-Weighted Citation Impact
- 2.42
Funders
- European Commission
- Ministero della Salute
- Ministero dell'Università e della Ricerca