PO.CL01.18 · 临床研究

Prospective investigation of the blood metabolome to identify risk biomarkers for biliary tract cancer

海报缩略图:Prospective investigation of the blood metabolome to identify risk biomarkers for biliary tract cancer
编号 LB371 展板 27 时间 4/19 02:00–05:00 区域 Section 43 主讲 Valerie Gunchick, BS;MS
分会场 Early Detection Biomarkers 1
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作者与单位

Valerie Gunchick1, Wei Zheng1, Chris Haiman2, Caroline Um3, Roger Milne4, Rachel Solomon5, Yu Chen6, Andrew Chan7, Qiuyin Cai1, Xiao-Ou Shu, on behalf of the BTC Metabolomic Consortium1

1Vanderbilt University Medical Center, Nashville, TN,2Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA,3Department of Population Science, American Cancer Society, Atlanta, GA,4Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia,5Division of Cancer Epidemiology & Genetics, NCI, Shady Grove, MD,6Division of Epidemiology, Department of Population Health, NYU Grossman School of Medicine, New York, NY,7Immunology and Infectious Diseases, Harvard University T. H. Chan School of Public Health, Boston, MA

摘要 Abstract

Biliary tract cancer (BTC) is a group of rare and aggressive malignancies; most (~80%) patients are diagnosed with metastatic disease, which has a five-year survival rate of 3%. A better understanding of BTC etiology and biology is critical for designing cost-effective prevention strategies. Many known risk factors for BTC, such as obesity, diabetes, and chronic inflammation, are related to metabolic disturbance, suggesting a significant role of metabolic perturbation in BTC pathogenesis. Thus, a systemic investigation of circulating metabolites could provide valuable information regarding biological mechanisms of BTC etiology and identify potential risk biomarkers.We conducted an individually matched case-control study nested in eight prospective cohort studies from Australia, China, and the United States, and evaluated associations of circulating metabolites in pre-diagnostic blood samples with BTC risk. Metabolites were measured in two batches using Metabolon's Global Discovery Panel assay . A total of 1,997 biochemicals were detected, of which 1,593 were detected in ≥1 study. We identified 146 principal components that account for 99.5% of the metabolomic variance in 1,593 metabolites in our data. Thus, a p-value of 3.42x10 -04 (i.e., 0.05 /146) was set as the significance threshold for multiple comparison adjustment. Of the 1,593, 1,466 (1,202 known and 264 unknown) were present in ≥70% of participants and were analyzed herein. Within each cohort, metabolite levels were trimmed to three standard deviations, undetectable values were imputed with the minimum, log-transformed (x+1.0), and z-scored. We conducted conditional logistic regression by assay batch and meta-analyzed results together with fixed-effects meta-analysis.This study included 1,383 total participants, comprising 836 controls matched to 547 BTC cases: 33.1% gallbladder cancer, 15.0% intrahepatic cholangiocarcinoma (CCA), 22.7% extrahepatic CCA, and 29.3% Ampulla of Vater and unspecified BTC cases. Study participants had a median baseline age of 61 [interquartile range (IQR) 12] years old, 57.1% were female, and had a median [IQR] 9.6 [4.1] years from blood collection to BTC diagnosis. We found multiple metabolites associated with BTC risk, including those in the glutamate, sphingomyelin, and bile acid pathways, after adjusting for multiple comparisons. Selected significant associations (OR (95% CI) for every 1-SD increase, p-value) with BTC are glutamate: 1.32 (1.17-1.49), p=6.3x10 -06 ; sphingomyelin (10): 0.76 (0.67-0.86), p=3.3x10 -05 ; and glycodeoxycholate 3-sulfate: 1.23 (1.10-1.38), p=2.72x10 -04 .This is the first prospective study to systematically search the blood metabolome for biomarkers of BTC risk. We provide strong evidence that bile acid and other metabolic pathways play critical roles in BTC etiology. We are expanding the analysis with data from additional cohort studies to further validate the findings.
利益披露 Disclosure
V. Gunchick, Servier ). Cornerstone Pharmaceuticals ). W. Zheng, None.. C. Haiman, None.. C. Um, None.. R. Milne, None.. R. Solomon, None.. Y. Chen, None.. A. Chan, None.. Q. Cai, None.. X. Shu, on behalf of the BTC Metabolomic Consortium, None.

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