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Document type:
Journal Article
Author(s):
Gomez-Rubio, P; Rosato, V; Márquez, M; Bosetti, C; Molina-Montes, E; Rava, M; Piñero, J; Michalski, C W; Farré, A; Molero, X; Löhr, M; Ilzarbe, L; Perea, J; Greenhalf, W; O'Rorke, M; Tardón, A; Gress, T; Barberá, V M; Crnogorac-Jurcevic, T; Muñoz-Bellvís, L; Domínguez-Muñoz, E; Gutiérrez-Sacristán, A; Balsells, J; Costello, E; Guillen-Ponce, C; Huang, J; Iglesias, M; Kleeff, J; Kong, B; Mora, J; Murray, L; O'Driscoll, D; Peláez, P; Poves, I; Lawlor, R T; Carrato, A; Hidalgo, M; Scarpa, A; Sharp,...     »
Title:
A systems approach identifies time-dependent associations of multimorbidities with pancreatic cancer risk.
Abstract:
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.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.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.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 between MP and PDAC points to a mechanistic link between these conditions.
Journal title abbreviation:
Ann Oncol
Year:
2017
Journal volume:
28
Journal issue:
7
Pages contribution:
1618-1624
Language:
eng
Fulltext / DOI:
doi:10.1093/annonc/mdx167
Pubmed ID:
http://view.ncbi.nlm.nih.gov/pubmed/28383714
Print-ISSN:
0923-7534
TUM Institution:
Chirurgische Klinik und Poliklinik
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