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A systems approach identifies time-dependent associations of multimorbidities with pancreatic cancer risk

Authors :
Universidad de Alicante. Departamento de Fisiología, Genética y Microbiología
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
Universidad de Alicante. Departamento de Fisiología, Genética y Microbiología
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
Publication Year :
2017

Abstract

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 were explored with DisGeNET bioinformatics-tool which focuses on gene-diseases associations available in curated databases. Results: Three MPs were observed: gastric (heartburn, acid regurgitation, Helicobacter pylori infection, and ulcer), metabolic syndrome (obesity, type-2 diabetes, hypercholesterolemia, and hypertension), and atopic (nasal allergies, skin allergies, and asthma). Strong associations with PDAC were observed for ≥2 recently diagnosed gastric conditions [odds ratio (OR), 6.13; 95% confidence interval CI 3.01–12.5)] and for ≥3 recently diagnosed metabolic syndrome conditions (OR, 1.61; 95% CI 1.11–2.35). Atopic conditions were negatively associated with PDAC (high adherence score OR for tertile III, 0.45; 95% CI, 0.36–0.55). Combining type-2 diabetes with gastric MP resulted in higher PDAC risk for recent (OR, 7.89; 95% CI 3.9–16.1) and long-term diagnosed conditions (OR, 1.86; 95% CI 1.29–2.67). A common genetic basis between MPs and PDAC was observed in the bioinformatics analysis. Conclusions: Specific multimorbidities aggregate and associate with PDAC in a time-dependent manner. A better characterization of a high-risk population for PDAC may help in the early diagnosis of this cancer. The common genetic basis b

Details

Database :
OAIster
Publication Type :
Electronic Resource
Accession number :
edsoai.ocn994277942
Document Type :
Electronic Resource