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

This is the peer reviewed version of the following article: Gomez‐Rubio, P. , Piñero, J. , Molina‐Montes, E. , Gutiérrez‐Sacristán, A. , Marquez, M. , Rava, M. , Michalski, C. W., Farré, A. , Molero, X. , Löhr, M. , Perea, J. , Greenhalf, W. , O'Rorke, M. , Tardón, A. , Gress, T. , Barberá, V. M., Crnogorac‐Jurcevic, T. , Muñoz‐Bellvís, L. , Domínguez‐Muñoz, E. , Balsells, J. , Costello, E. , Yu, J. , Iglesias, M. , Ilzarbe, L. , Kleeff, J. , Kong, B. , Mora, J. , Murray, L. , O'Driscoll, D. , Poves, I. , Lawlor, R. T., Ye, W. , Hidalgo, M. , Scarpa, A. , Sharp, L. , Carrato, A. , Real, F. X., Furlong, L. I., Malats, N. and , (2019), Pancreatic cancer and autoimmune diseases: An association sustained by computational and epidemiological case–control approaches. Int. J. Cancer. doi:10.1002/ijc.31866, which has been published in final form at https://doi.org/10.1002/ijc.31866. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.Acción Especial de Genómica, Spain. Grant Number: #GEN2001‐4748‐c05‐03 Swedish ALF. Grant Number: #SLL20130022 Cancer Focus Northern Ireland and Department for Employment and Learning EU H2020 Programme 2014‐2020. Grant Number: 634143 MedBioinformatics676559 Elixir‐Excelerate EU‐6FP Integrated Project. Grant Number: #018771‐MOLDIAG‐PACA EU‐FP7‐HEALTH. Grant Number: #256974‐EPC‐TM‐Net#259737‐CANCERALIA#602783‐ Cam‐Pac Italian Foundation for Cancer Research (FIRC) Italian Ministry of Health. Grant Number: FIMPCUP_J33G13000210001 Red Temática de Investigación Cooperativa en Cáncer, Spain. Grant Number: #RD12/0036/0050#RD12/0036/ 0073(#RD12/0036/0034 The work was partially supported by Fondo de Investigaciones Sanitarias (FIS), Instituto de Salud Carlos III‐FEDER, Spain. Grant Number: #PI0902102#PI11/01542#PI12/ 00815#PI12/01635#PI13/ 00082CP10/00524PI15/01573 World Cancer Research Fund. Grant Number: WCR #15‐039

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

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

Distribution of subsets of blood monocytic cells throughout life

Stemcel biology/Regenerative medicine (incl. bloodtransfusion

Gallbladder disease and pancreatic cancer risk: a multicentric case-control European study

The overall evidence on the association between gallbladder conditions (GBC: gallstones and cholecystectomy) and pancreatic cancer (PC) is inconsistent. To our knowledge, no previous investigations considered the role of tumour characteristics on this association. Thus, we aimed to assess the association between self-reported GBC and PC risk, by focussing on timing to PC diagnosis and tumour features (stage, location, and resection)