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Pancreatic Neoplasms: HELP
Articles by L. Sharp
Based on 2 articles published since 2010
(Why 2 articles?)

Between 2010 and 2020, L. Sharp wrote the following 2 articles about Pancreatic Neoplasms.
+ Citations + Abstracts
1 Article Risk of pancreatic cancer associated with family history of cancer and other medical conditions by accounting for smoking among relatives. 2018

Molina-Montes, E / Gomez-Rubio, P / Márquez, M / Rava, M / Löhr, M / Michalski, C W / Molero, X / Farré, A / Perea, J / Greenhalf, W / Ilzarbe, L / O'Rorke, M / Tardón, A / Gress, T / Barberà, V M / Crnogorac-Jurcevic, T / Domínguez-Muñoz, E / Muñoz-Bellvís, L / Balsells, J / Costello, E / Huang, J / Iglesias, M / Kleeff, J / Kong, Bo / Mora, J / Murray, L / O'Driscoll, D / Poves, I / Scarpa, A / Ye, W / Hidalgo, M / Sharp, L / Carrato, A / Real, F X / Malats, N / Anonymous1210933. ·Spanish National Cancer Research Center (CNIO), Genetic and Molecular Epidemiology Group, Madrid, and CIBERONC, Spain. · Karolinska Institutet and University Hospital, Gastrocentrum, Stockholm, Sweden. · Technical University of Munich, Department of Surgery, Munich, Germany. · University of Heidelberg, Department of Surgery, Heidelberg, Germany. · Hospital Universitari Vall d'Hebron, Vall d'Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona, Barcelona, and CIBEREHD, Spain. · Hospital de la Santa Creu i Sant Pau, Department of Gastroenterology, Barcelona, Spain. · University Hospital 12 de Octubre, Department of Surgery, Madrid, Spain. · Royal Liverpool University Hospital, Department of Molecular and Clinical Cancer Medicine, Liverpool, UK. · Hospital del Mar-Parc de Salut Mar, Barcelona, Spain. · Queen's University Belfast, Centre for Public Health, Belfast, UK. · Instituto Universitario de Oncología del Principado de Asturias, Department of Medicine, Oviedo, and CIBERESP, Spain. · University Hospital of Giessen and Marburg, Department of Gastroenterology, Marburg, Germany. · General University Hospital of Elche, Molecular Genetics Laboratory, Elche, Spain. · Barts Cancer Institute, Centre for Molecular Oncology, Queen Mary University of London, London, UK. · University Clinical Hospital of Santiago de Compostela, Department of Gastroenterology, Santiago de Compostela, Spain. · Salamanca University Hospital, General and Digestive Surgery Department, Salamanca, Spain. · Martin-Luther-University Halle-Wittenberg, Department of Visceral, Vascular and Endocrine Surgery, Halle (Saale), Germany. · National Cancer Registry Ireland and HRB Clinical Research Facility, University College Cork, Cork, Ireland. · ARC-Net Centre for Applied Research on Cancer and Department of Pathology and Diagnostics, University and Hospital Trust of Verona, Verona, Italy. · Madrid-Norte-Sanchinarro Hospital, Madrid, Spain. · Newcastle University, Institute of Health and Society, Newcastle upon Tyne, UK. · Ramón y Cajal University Hospital, Department of Oncology, IRYCIS, Alcala University, Madrid, and CIBERONC, Spain. · Spanish National Cancer Research Centre (CNIO), Epithelial Carcinogenesis Group, Madrid, Universitat Pompeu Fabra, Departament de Ciències Experimentals i de la Salut, Barcelona, and CIBERONC, Spain. ·Int J Epidemiol · Pubmed #29329392.

ABSTRACT: Background: Family history (FH) of pancreatic cancer (PC) has been associated with an increased risk of PC, but little is known regarding the role of inherited/environmental factors or that of FH of other comorbidities in PC risk. We aimed to address these issues using multiple methodological approaches. Methods: Case-control study including 1431 PC cases and 1090 controls and a reconstructed-cohort study (N = 16 747) made up of their first-degree relatives (FDR). Logistic regression was used to evaluate PC risk associated with FH of cancer, diabetes, allergies, asthma, cystic fibrosis and chronic pancreatitis by relative type and number of affected relatives, by smoking status and other potential effect modifiers, and by tumour stage and location. Familial aggregation of cancer was assessed within the cohort using Cox proportional hazard regression. Results: FH of PC was associated with an increased PC risk [odds ratio (OR) = 2.68; 95% confidence interval (CI): 2.27-4.06] when compared with cancer-free FH, the risk being greater when ≥ 2 FDRs suffered PC (OR = 3.88; 95% CI: 2.96-9.73) and among current smokers (OR = 3.16; 95% CI: 2.56-5.78, interaction FHPC*smoking P-value = 0.04). PC cumulative risk by age 75 was 2.2% among FDRs of cases and 0.7% in those of controls [hazard ratio (HR) = 2.42; 95% CI: 2.16-2.71]. PC risk was significantly associated with FH of cancer (OR = 1.30; 95% CI: 1.13-1.54) and diabetes (OR = 1.24; 95% CI: 1.01-1.52), but not with FH of other diseases. Conclusions: The concordant findings using both approaches strengthen the notion that FH of cancer, PC or diabetes confers a higher PC risk. Smoking notably increases PC risk associated with FH of PC. Further evaluation of these associations should be undertaken to guide PC prevention strategies.

2 Article A systems approach identifies time-dependent associations of multimorbidities with pancreatic cancer risk. 2017

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 / Anonymous5111075. ·Genetic and Molecular Epidemiology Group, Spanish National Cancer Research Center (CNIO), Madrid, and CIBERONC, Spain. · Branch of Medical Statistics, Biometry and Epidemiology "G.A. Maccacaro," Department of Clinical Sciences and Community Health, University of Milan, Milan. · Unit of Medical Statistics, Biometry and Bioinformatics, National Cancer Institute, IRCCS Foundation, Milan. · Department of Epidemiology, Mario Negri Institute for Pharmacological Research-IRCCS, Milan, Italy. · Research Programme on Biomedical Informatics (GRIB), Hospital del Mar Research Institute (IMIM), Pompeu Fabra Univeristy (UPF), Barcelona, Spain. · Department of Surgery, Technical University of Munich, Munich. · Department of Surgery, University of Heidelberg, Heidelberg, Germany. · Department of Gastroenterology, Santa Creu i Sant Pau Hospital, Barcelona. · Exocrine Pancreas Research Unit and Vall d'Hebron Research Institute (VHIR), Vall d'Hebron University Hospital, Barcelona. · Department of Medicine, Universitat Autònoma de Barcelona, Barcelona. · Network of Biomedical Research Centres (CIBER), Hepatic and Digestive Diseases and Epidemiology and Public Health, Madrid, Spain. · Gastrocentrum, Karolinska Institutet and University Hospital, Stockholm, Sweden. · Department of Gastroenterology, Parc de Salut Mar University Hospital, Barcelona. · Department of Surgery, 12 de Octubre University Hospital, Madrid, Spain. · Department of Molecular and Clinical Cancer Medicine, The Royal Liverpool University Hospital, Liverpool. · Centre for Public Health, Queen's University Belfast, Belfast, UK. · Department of Medicine, University Institute of Oncology of Asturias, Oviedo, Spain. · Department of Gastroenterology, University Hospital of Giessen and Marburg, Marburg, Germany. · Molecular Genetics Laboratory, General University Hospital of Elche, Elche, Spain. · Centre for Molecular Oncology, Barts Cancer Institute, Queen Mary University of London, John Vane Science Centre, London, UK. · General and Digestive Surgery Department, Salamanca University Hospital, Salamanca. · Department of Gastroenterology, Clinical University Hospital of Santiago de Compostela, Santiago de Compostela. · Department of Oncology, Ramón y Cajal Hospital, Madrid, and CIBERONC, Spain. · Research Programme, National Cancer Registry Ireland. · ARC-Net Centre for Applied Research on Cancer and Department of Pathology and Diagnostics, University and Hospital trust of Verona, Verona, Italy. · Clara Campal Integrated Oncological Centre, Sanchinarro Hospital, Madrid, Spain. · Institute of Health & Society, Newcastle University, UK. · Epithelial Carcinogenesis Group, Spanish National Cancer Research Centre (CNIO), Madrid, and CIBERONC. · Department of Experimental and Health Sciences, Pompeu Fabra University, Barcelona, Spain. ·Ann Oncol · Pubmed #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.