Zhiwei Liu1, Troy J Kemp2, Yu-Tang Gao3, Amanda Corbel1, Emma E McGee1, Bingsheng Wang4, Ming-Chang Shen5, Asif Rashid6, Ann W Hsing7,8, Allan Hildesheim1, Ruth M Pfeiffer9, Ligia A Pinto2, Jill Koshiol1. 1. Infections and Immunoepidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA. 2. HPV Immunology Laboratory, Frederick National Laboratory for Cancer Research, Leidos, Biomedical Research, Inc., Frederick, Maryland, USA. 3. Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China. 4. Department of General Surgery, Zhongshan Hospital, School of Medicine, Fudan University, Shanghai, China. 5. Department of Pathology, Shanghai Cancer Center, Fudan University, Shanghai, China. 6. Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA. 7. Stanford Cancer Institute, Palo Alto, California, USA. 8. Stanford Prevention Research Center, Department of Medicine, Stanford School of Medicine, Palo Alto, California, USA. 9. Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA.
Abstract
BACKGROUND AND AIM: Inflammation plays a role in the development of both gallstones and gallbladder cancer; however, few studies have investigated the association of circulating inflammation proteins with risk of gallstones. METHODS: This study measured 13 cytokines (including 10 interleukins [ILs]) that have been associated with cancer in serum samples collected from 150 gallstone patients and 149 population-based controls from Shanghai, China, in 1997-2001. This study estimated the associations of each cytokine, categorized into quartiles and coded as a trend, with risk of gallstones using logistic regression models adjusted for potential confounders. RESULTS: Higher levels of IL-6, IL-10, IL-12 (p70), and IL-13 were associated with increased risk of gallstones (i.e. Ptrend < 0.003, Bonferroni corrected), with odds ratios (ORs) that ranged from ORhighest quartile [Q4] versus lowest quartile [Q1] = 3.2 (95% confidence interval: 1.4, 7.5) for IL-13 to ORQ4 versus Q1 = 5.7 (95% confidence interval: 2.5, 13.5) for IL-12 (p70). In a regression model including all four ILs, only IL-12 retained statistical significance (P < 0.05). CONCLUSION: This study found four circulating ILs that were associated with gallstones. Future studies are needed to validate the findings and evaluate the common pathway or mechanism in the development of gallbladder diseases associated with these cytokine signatures.
BACKGROUND AND AIM: Inflammation plays a role in the development of both gallstones and gallbladder cancer; however, few studies have investigated the association of circulating inflammation proteins with risk of gallstones. METHODS: This study measured 13 cytokines (including 10 interleukins [ILs]) that have been associated with cancer in serum samples collected from 150 gallstonepatients and 149 population-based controls from Shanghai, China, in 1997-2001. This study estimated the associations of each cytokine, categorized into quartiles and coded as a trend, with risk of gallstones using logistic regression models adjusted for potential confounders. RESULTS: Higher levels of IL-6, IL-10, IL-12 (p70), and IL-13 were associated with increased risk of gallstones (i.e. Ptrend < 0.003, Bonferroni corrected), with odds ratios (ORs) that ranged from ORhighest quartile [Q4] versus lowest quartile [Q1] = 3.2 (95% confidence interval: 1.4, 7.5) for IL-13 to ORQ4 versus Q1 = 5.7 (95% confidence interval: 2.5, 13.5) for IL-12 (p70). In a regression model including all four ILs, only IL-12 retained statistical significance (P < 0.05). CONCLUSION: This study found four circulating ILs that were associated with gallstones. Future studies are needed to validate the findings and evaluate the common pathway or mechanism in the development of gallbladder diseases associated with these cytokine signatures.
Authors: Troy J Kemp; Felipe A Castro; Yu-Tang Gao; Allan Hildesheim; Leticia Nogueira; Bing-Sheng Wang; Lu Sun; Gloriana Shelton; Ruth M Pfeiffer; Ann W Hsing; Ligia A Pinto; Jill Koshiol Journal: Cytokine Date: 2015-03-02 Impact factor: 3.861
Authors: Jill Koshiol; Felipe Castro; Troy J Kemp; Yu-Tang Gao; Juan Carlos Roa; Bingsheng Wang; Leticia Nogueira; Juan Carlos Araya; Ming-Chang Shen; Asif Rashid; Ann W Hsing; Allan Hildesheim; Catterina Ferreccio; Ruth M Pfeiffer; Ligia A Pinto Journal: Cytokine Date: 2016-05-09 Impact factor: 3.861
Authors: Karel J van Erpecum; David Q-H Wang; Antonio Moschetta; Domenico Ferri; Maria Svelto; Piero Portincasa; Jan-Jaap Hendrickx; Marguérite Schipper; Giuseppe Calamita Journal: J Lipid Res Date: 2005-10-13 Impact factor: 5.922
Authors: Giuseppe Borzellino; Stefan Sauerland; Anna Maria Minicozzi; Giuseppe Verlato; Carlo Di Pietrantonj; Giovanni de Manzoni; Claudio Cordiano Journal: Surg Endosc Date: 2007-08-18 Impact factor: 4.584