Your browser doesn't support javascript.
loading
A systems approach identifies time-dependent associations of multimorbidities with pancreatic cancer risk.
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; Guillén-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, L; Furlong, L I; Real, F X; La Vecchia, C; Malats, N.
Afiliação
  • Gomez-Rubio P; Genetic and Molecular Epidemiology Group, Spanish National Cancer Research Center (CNIO), Madrid, and CIBERONC, Spain.
  • Rosato V; Branch of Medical Statistics, Biometry and Epidemiology "G.A. Maccacaro," Department of Clinical Sciences and Community Health, University of Milan, Milan.
  • Márquez M; Unit of Medical Statistics, Biometry and Bioinformatics, National Cancer Institute, IRCCS Foundation, Milan.
  • Bosetti C; Genetic and Molecular Epidemiology Group, Spanish National Cancer Research Center (CNIO), Madrid, and CIBERONC, Spain.
  • Molina-Montes E; Department of Epidemiology, Mario Negri Institute for Pharmacological Research-IRCCS, Milan, Italy.
  • Rava M; Genetic and Molecular Epidemiology Group, Spanish National Cancer Research Center (CNIO), Madrid, and CIBERONC, Spain.
  • Piñero J; Genetic and Molecular Epidemiology Group, Spanish National Cancer Research Center (CNIO), Madrid, and CIBERONC, Spain.
  • Michalski CW; Research Programme on Biomedical Informatics (GRIB), Hospital del Mar Research Institute (IMIM), Pompeu Fabra Univeristy (UPF), Barcelona, Spain.
  • Farré A; Department of Surgery, Technical University of Munich, Munich.
  • Molero X; Department of Surgery, University of Heidelberg, Heidelberg, Germany.
  • Löhr M; Department of Gastroenterology, Santa Creu i Sant Pau Hospital, Barcelona.
  • Ilzarbe L; Exocrine Pancreas Research Unit and Vall d'Hebron Research Institute (VHIR), Vall d'Hebron University Hospital, Barcelona.
  • Perea J; Department of Medicine, Universitat Autònoma de Barcelona, Barcelona.
  • Greenhalf W; Network of Biomedical Research Centres (CIBER), Hepatic and Digestive Diseases and Epidemiology and Public Health, Madrid, Spain.
  • O'Rorke M; Gastrocentrum, Karolinska Institutet and University Hospital, Stockholm, Sweden.
  • Tardón A; Department of Gastroenterology, Parc de Salut Mar University Hospital, Barcelona.
  • Gress T; Department of Surgery, 12 de Octubre University Hospital, Madrid, Spain.
  • Barberá VM; Department of Molecular and Clinical Cancer Medicine, The Royal Liverpool University Hospital, Liverpool.
  • Crnogorac-Jurcevic T; Centre for Public Health, Queen's University Belfast, Belfast, UK.
  • Muñoz-Bellvís L; Network of Biomedical Research Centres (CIBER), Hepatic and Digestive Diseases and Epidemiology and Public Health, Madrid, Spain.
  • Domínguez-Muñoz E; Department of Medicine, University Institute of Oncology of Asturias, Oviedo, Spain.
  • Gutiérrez-Sacristán A; Department of Gastroenterology, University Hospital of Giessen and Marburg, Marburg, Germany.
  • Balsells J; Molecular Genetics Laboratory, General University Hospital of Elche, Elche, Spain.
  • Costello E; Centre for Molecular Oncology, Barts Cancer Institute, Queen Mary University of London, John Vane Science Centre, London, UK.
  • Guillén-Ponce C; General and Digestive Surgery Department, Salamanca University Hospital, Salamanca.
  • Huang J; Department of Gastroenterology, Clinical University Hospital of Santiago de Compostela, Santiago de Compostela.
  • Iglesias M; Research Programme on Biomedical Informatics (GRIB), Hospital del Mar Research Institute (IMIM), Pompeu Fabra Univeristy (UPF), Barcelona, Spain.
  • Kleeff J; Exocrine Pancreas Research Unit and Vall d'Hebron Research Institute (VHIR), Vall d'Hebron University Hospital, Barcelona.
  • Kong B; Department of Medicine, Universitat Autònoma de Barcelona, Barcelona.
  • Mora J; Network of Biomedical Research Centres (CIBER), Hepatic and Digestive Diseases and Epidemiology and Public Health, Madrid, Spain.
  • Murray L; Department of Molecular and Clinical Cancer Medicine, The Royal Liverpool University Hospital, Liverpool.
  • O'Driscoll D; Department of Oncology, Ramón y Cajal Hospital, Madrid, and CIBERONC, Spain.
  • Peláez P; Gastrocentrum, Karolinska Institutet and University Hospital, Stockholm, Sweden.
  • Poves I; Department of Gastroenterology, Parc de Salut Mar University Hospital, Barcelona.
  • Lawlor RT; Department of Surgery, Technical University of Munich, Munich.
  • Carrato A; Department of Molecular and Clinical Cancer Medicine, The Royal Liverpool University Hospital, Liverpool.
  • Hidalgo M; Department of Surgery, Technical University of Munich, Munich.
  • Scarpa A; Department of Gastroenterology, Santa Creu i Sant Pau Hospital, Barcelona.
  • Sharp L; Centre for Public Health, Queen's University Belfast, Belfast, UK.
  • Furlong LI; Research Programme, National Cancer Registry Ireland.
  • Real FX; Department of Surgery, 12 de Octubre University Hospital, Madrid, Spain.
  • La Vecchia C; Department of Gastroenterology, Parc de Salut Mar University Hospital, Barcelona.
  • Malats N; ARC-Net Centre for Applied Research on Cancer and Department of Pathology and Diagnostics, University and Hospital trust of Verona, Verona, Italy.
Ann Oncol ; 28(7): 1618-1624, 2017 Jul 01.
Article em En | MEDLINE | ID: mdl-28383714
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 between MP and PDAC points to a mechanistic link between these conditions.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Pancreáticas / Análise de Sistemas / Biologia Computacional / Carcinoma Ductal Pancreático / Biologia de Sistemas Tipo de estudo: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limite: Humans País/Região como assunto: Europa Idioma: En Revista: Ann Oncol Assunto da revista: NEOPLASIAS Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Espanha

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Pancreáticas / Análise de Sistemas / Biologia Computacional / Carcinoma Ductal Pancreático / Biologia de Sistemas Tipo de estudo: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limite: Humans País/Região como assunto: Europa Idioma: En Revista: Ann Oncol Assunto da revista: NEOPLASIAS Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Espanha