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Pancreatic cancer and autoimmune diseases: An association sustained by computational and epidemiological case–control approaches

Authors :
Universidad de Alicante. Departamento de Fisiología, Genética y Microbiología
Gomez‐Rubio, Paulina
Piñero, Janet
Molina‐Montes, Esther
Gutiérrez‐Sacristán, Alba
Marquez, Mirari
Rava, Marta
Michalski, Christoph W.
Farré, Antoni
Molero, Xavier
Löhr, Matthias
Perea, José
Greenhalf, William
O'Rorke, Michael
Tardón, Adonina
Gress, Thomas
Barberá, Víctor Manuel
Crnogorac‐Jurcevic, Tatjana
Muñoz‐Bellvís, Luís
Domínguez‐Muñoz, Enrique
Balsells, Joaquim
Costello, Eithne
Yu, Jingru
Iglesias, Mar
Ilzarbe, Lucas
Kleeff, Jörg
Kong, Bo
Mora, Josefina
Murray, Liam
O'Driscoll, Damian
Poves, Ignasi
Lawlor, Rita T.
Ye, Weimin
Hidalgo, Manuel
Scarpa, Aldo
Sharp, Linda
Carrato, Alfredo
Real, Francisco X.
Furlong, Laura I.
Malats, Núria
PanGenEU Study Investigators
Universidad de Alicante. Departamento de Fisiología, Genética y Microbiología
Gomez‐Rubio, Paulina
Piñero, Janet
Molina‐Montes, Esther
Gutiérrez‐Sacristán, Alba
Marquez, Mirari
Rava, Marta
Michalski, Christoph W.
Farré, Antoni
Molero, Xavier
Löhr, Matthias
Perea, José
Greenhalf, William
O'Rorke, Michael
Tardón, Adonina
Gress, Thomas
Barberá, Víctor Manuel
Crnogorac‐Jurcevic, Tatjana
Muñoz‐Bellvís, Luís
Domínguez‐Muñoz, Enrique
Balsells, Joaquim
Costello, Eithne
Yu, Jingru
Iglesias, Mar
Ilzarbe, Lucas
Kleeff, Jörg
Kong, Bo
Mora, Josefina
Murray, Liam
O'Driscoll, Damian
Poves, Ignasi
Lawlor, Rita T.
Ye, Weimin
Hidalgo, Manuel
Scarpa, Aldo
Sharp, Linda
Carrato, Alfredo
Real, Francisco X.
Furlong, Laura I.
Malats, Núria
PanGenEU Study Investigators
Publication Year :
2019

Abstract

Deciphering the underlying genetic basis behind pancreatic cancer (PC) and its associated multimorbidities will enhance our knowledge toward PC control. The study investigated the common genetic background of PC and different morbidities through a computational approach and further evaluated the less explored association between PC and autoimmune diseases (AIDs) through an epidemiological analysis. Gene‐disease associations (GDAs) of 26 morbidities of interest and PC were obtained using the DisGeNET public discovery platform. The association between AIDs and PC pointed by the computational analysis was confirmed through multivariable logistic regression models in the PanGen European case–control study population of 1,705 PC cases and 1,084 controls. Fifteen morbidities shared at least one gene with PC in the DisGeNET database. Based on common genes, several AIDs were genetically associated with PC pointing to a potential link between them. An epidemiologic analysis confirmed that having any of the nine AIDs studied was significantly associated with a reduced risk of PC (Odds Ratio (OR) = 0.74, 95% confidence interval (CI) 0.58–0.93) which decreased in subjects having ≥2 AIDs (OR = 0.39, 95%CI 0.21–0.73). In independent analyses, polymyalgia rheumatica, and rheumatoid arthritis were significantly associated with low PC risk (OR = 0.40, 95%CI 0.19–0.89, and OR = 0.73, 95%CI 0.53–1.00, respectively). Several inflammatory‐related morbidities shared a common genetic component with PC based on public databases. These molecular links could shed light into the molecular mechanisms underlying PC development and simultaneously generate novel hypotheses. In our study, we report sound findings pointing to an association between AIDs and a reduced risk of PC.

Details

Database :
OAIster
Publication Type :
Electronic Resource
Accession number :
edsoai.on1364605185
Document Type :
Electronic Resource