A systems approach identifies time-dependent associations of multimorbidities with pancreatic cancer risk
- Gomez-Rubio, Paulina
- Rosato, V.
- Marquez, Mirari
- Bosetti, C.
- Molina-Montes, Esther
- Rava, Marta
- Piñero, Janet
- Michalski, Christoph W.
- Farré, Antoni
- Molero, Xavier
- Löhr, Matthias
- Ilzarbe, L.
- Perea, José
- Greenhalf, William
- O’Rorke, Michael
- Tardón, Adonina
- Gress, Thomas
- Barberá, Víctor Manuel
- Crnogorac-Jurcevic, Tatjana
- Muñoz-Bellvís, Luís
- Domínguez-Muñoz, Enrique
- Gutiérrez-Sacristán, Alba
- Balsells, Joaquim
- Costello, Eithne
- Guillén-Ponce, Carmen
- Huang, J.
- Iglesias, Mar
- Kleeff, Jörg
- Kong, Bo
- Mora, Josefina
- Murray, Liam
- O’Driscoll, Damian
- Peláez, P.
- Poves, Ignasi
- Lawlor, Rita T.
- Carrato, Alfredo
- Hidalgo, Manuel
- Scarpa, Aldo
- Sharp, Linda
- Furlong, Laura I.
- Real, Francisco X.
- La Vecchia, C.
- Malats, Núria
DOIAbstract
Background: Pancreatic ductal adenocarcinoma (PDAC) is usually diagnosed in late adulthood; therefore, many patients suffer or have suffered from other diseases. Identifying disease patterns associated with PDAC risk may enable a better characterization of high-risk patients. Methods: Multimorbidity patterns (MPs) were assessed from 17 self-reported conditions using hierarchical clustering, principal component, and factor analyses in 1705 PDAC cases and 1084 controls from a European population. Their association with PDAC was evaluated using adjusted logistic regression models. Time since diagnosis of morbidities to PDAC diagnosis/recruitment was stratified into recent (<3 years) and long term (≥3 years). The MPs and PDAC genetic networks w...
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