Metabolomic analysis of prostate cancer risk in a prospective cohort: The alpha-tocolpherol, beta-carotene cancer prevention (ATBC) study

被引:140
作者
Mondul, Alison M. [1 ]
Moore, Steven C. [2 ]
Weinstein, Stephanie J. [2 ]
Karoly, Edward D. [3 ]
Sampson, Joshua N. [2 ]
Albanes, Demetrius [2 ]
机构
[1] Univ Michigan, Sch Publ Hlth, Dept Epidemiol, Ann Arbor, MI 48109 USA
[2] NCI, Div Canc Epidemiol & Genet, NIH, DHHS, Bethesda, MD 20892 USA
[3] Metabolon, Morrisville, NC USA
关键词
metabolomics; prostate cancer; serology; energy metabolism; lipid metabolism; biomarkers; thyroxine; TMAO; TCA cycle; Warburg; INTERMEDIARY METABOLISM; LIPID-METABOLISM; STATIN USE; CELLS; REQUIREMENTS; EPIDEMIOLOGY; METAANALYSIS; OXIDATION; PATHWAYS; SYSTEMS;
D O I
10.1002/ijc.29576
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Despite decades of concerted epidemiological research, relatively little is known about the etiology of prostate cancer. As genome-wide association studies have identified numerous genetic variants, so metabolomic profiling of blood and other tissues represents an agnostic, broad-spectrum approach for examining potential metabolic biomarkers of prostate cancer risk. To this end, we conducted a prospective analysis of prostate cancer within the Alpha-Tocopherol, Beta-Carotene Cancer Prevention Study cohort based on 200 cases (100 aggressive) and 200 controls (age- and blood collection date-matched) with fasting serum collected up to 20 years prior to case diagnoses. Ultrahigh performance liquid chromatography/mass spectroscopy and gas chromatography/mass spectroscopy identified 626 compounds detected in >95% of the men and the odds ratio per 1-standard deviation increase in log-metabolite levels and risk were estimated using conditional logistic regression. We observed strong inverse associations between energy and lipid metabolites and aggressive cancer (p=0.018 and p=0.041, respectively, for chemical class over-representation). Inositol-1-phosphate showed the strongest association (OR=0.56, 95% CI=0.39-0.81, p=0.002) and glycerophospholipids and fatty acids were heavily represented; e.g., oleoyl-linoleoyl-glycerophosphoinositol (OR=0.64, p=0.004), 1-stearoylglycerophosphoglycerol (OR=0.65, p=0.025), stearate (OR=0.65, p=0.010) and docosadienoate (OR=0.66, p=0.014). Both alpha-ketoglutarate and citrate were associated with aggressive disease risk (OR=0.69, 95% CI=0.51-0.94, p=0.02; OR=0.69, 95% CI=0.50-0.95, p=0.02), as were elevated thyroxine and trimethylamine oxide (OR=1.65, 95% CI=1.08-2.54, p=0.021; and OR=1.36, 95% CI=1.02-1.81, p=0.039). Serum PSA adjustment did not alter the findings. Our data reveal several metabolomic leads that may have pathophysiological relevance to prostate carcinogenesis and should be examined through additional research. What's new? Prostate cancer is the second most common cancer in men, yet few modifiable risk factors are known. A window to the study of modifiable risk factors is the metabolome, with prospective metabolomic serum profiling being a promising new investigative approach. In prostate cancer, use of this approach had resulted in the identification of numerous circulating lipids associated with risk of aggressive disease. Here, the authors report inverse associations between aggressive disease and energy and lipid metabolites, including alpha-ketoglutarate, citrate, inositol-1-phosphate and several glycerophospholipids and fatty acids. Some of the metabolites may be relevant to prostate cancer development and progression.
引用
收藏
页码:2124 / 2132
页数:9
相关论文
共 42 条
[11]   Metabolites of tobacco smoking and colorectal cancer risk [J].
Cross, Amanda J. ;
Boca, Simina ;
Freedman, Neal D. ;
Caporaso, Neil E. ;
Huang, Wen-Yi ;
Sinha, Rashmi ;
Sampson, Joshua N. ;
Moore, Steven C. .
CARCINOGENESIS, 2014, 35 (07) :1516-1522
[12]  
Crowe FL, 2014, JNCI-J NATL CANCER I, P106
[13]   Organization of GC/MS and LC/MS metabolomics data into chemical libraries [J].
DeHaven, Corey D. ;
Evans, Anne M. ;
Dai, Hongping ;
Lawton, Kay A. .
JOURNAL OF CHEMINFORMATICS, 2010, 2
[14]   ON TESTING THE SIGNIFICANCE OF SETS OF GENES [J].
Efron, Bradley ;
Tibshirani, Robert .
ANNALS OF APPLIED STATISTICS, 2007, 1 (01) :107-129
[15]  
Etzioni R, 1998, AM J EPIDEMIOL, V148, P775
[16]   Integrated, Nontargeted Ultrahigh Performance Liquid Chromatography/Electrospray Ionization Tandem Mass Spectrometry Platform for the Identification and Relative Quantification of the Small-Molecule Complement of Biological Systems [J].
Evans, Anne M. ;
DeHaven, Corey D. ;
Barrett, Tom ;
Mitchell, Matt ;
Milgram, Eric .
ANALYTICAL CHEMISTRY, 2009, 81 (16) :6656-6667
[17]   Membrane rafts as potential sites of nongenomic hormonal signaling in prostate cancer [J].
Freeman, MR ;
Cinar, B ;
Lu, ML .
TRENDS IN ENDOCRINOLOGY AND METABOLISM, 2005, 16 (06) :273-279
[18]   Lipid Metabolism, Apoptosis and Cancer Therapy [J].
Huang, Chunfa ;
Freter, Carl .
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2015, 16 (01) :924-949
[19]   Metabolic requirements for the maintenance of self-renewing stem cells [J].
Ito, Keisuke ;
Suda, Toshio .
NATURE REVIEWS MOLECULAR CELL BIOLOGY, 2014, 15 (04) :243-256
[20]   Intestinal microbiota metabolism of L-carnitine, a nutrient in red meat, promotes atherosclerosis [J].
Koeth, Robert A. ;
Wang, Zeneng ;
Levison, Bruce S. ;
Buffa, Jennifer A. ;
Org, Elin ;
Sheehy, Brendan T. ;
Britt, Earl B. ;
Fu, Xiaoming ;
Wu, Yuping ;
Li, Lin ;
Smith, Jonathan D. ;
DiDonato, Joseph A. ;
Chen, Jun ;
Li, Hongzhe ;
Wu, Gary D. ;
Lewis, James D. ;
Warrier, Manya ;
Brown, J. Mark ;
Krauss, Ronald M. ;
Tang, W. H. Wilson ;
Bushman, Frederic D. ;
Lusis, Aldons J. ;
Hazen, Stanley L. .
NATURE MEDICINE, 2013, 19 (05) :576-585