Development of a consensus molecular classifier for pancreatic ductal adenocarcinoma
We developed a robust consensus classifier for PDAC that integrates tumor and stroma features. The classifier is accessible through the R package PDACMOC (PDACMolecularOmniClassifier, https://github.com/pavillos/PDACMOC , https://doi.org/10.5281/zenodo.17161373 ) and a Shiny app ( https://pdacmoc.cnio.es/ ). This classifier offers a biologically grounded framework that integrates existing systems, allows for single-sample classification, and improves prognostic stratification. By enabling subtype-specific therapies and better patient stratification in clinical trials, it can help guide precision medicine and enhance outcomes in PDAC management.
Authors
- Evangelina López de Maturana (ORCID: https://orcid.org/0000-0001-9425-3911)
- Pablo Villoslada-Blanco (ORCID: https://orcid.org/0000-0002-1220-5228)
- Sergio Sabroso‐Lasa (ORCID: https://orcid.org/0000-0001-7002-556X)
- Lola Alonso (ORCID: https://orcid.org/0000-0002-3493-718X)
- Lidia Estudillo (ORCID: https://orcid.org/0000-0003-3891-3713)
- Francisco X. Real (ORCID: https://orcid.org/0000-0001-9501-498X)
- Núria Malats
- Miguel Maquedano
Institutions
- Spanish National Cancer Research Centre (ES)
Publication Details
- Journal
- Genome Medicine
- Published
- 2025-11-14
- DOI
- https://doi.org/10.1186/s13073-025-01568-9
- Primary Topic
- Pancreatic and Hepatic Oncology Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Stand Up To Cancer
- Instituto de Salud Carlos III
- FP7 Health