Serum biomarkers of habitual coffee consumption may provide insight into the mechanism underlying the association between coffee consumption and colorectal cancer

Guertin, Kristin A.; Loftfield, Erikka; Boca, Simina M.; Sampson, Joshua N.; Moore, Stephen; Xiao, Qian; Huang, Wen‐Yi; Xiong, Xiao-Qing; Freedman, Neal D.; Cross, Amanda J.; Sinha, Rashmi

doi:10.3945/ajcn.114.096099

Cited by 114 publications

(109 citation statements)

References 64 publications

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“…We found that caffeinated coffee was associated with serum catechol sulfate, but not urinary catechol sulfate. Catechol, a derivative of coffee processing, is conjugated to catechol sulfate to facilitate absorption (65,66). Conjugated polyphenol metabolites generally are eliminated in feces (61).…”

Section: Tablementioning

confidence: 99%

Comparing metabolite profiles of habitual diet in serum and urine

Playdon

Sampson

Cross

et al. 2016

The American Journal of Clinical Nutrition

148

124

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Background: Diet plays an important role in chronic disease etiology, but some diet-disease associations remain inconclusive because of methodologic limitations in dietary assessment. Metabolomics is a novel method for identifying objective dietary biomarkers, although it is unclear what dietary information is captured from metabolites found in serum compared with urine. Objective: We compared metabolite profiles of habitual diet measured from serum with those measured from urine. Design: We first estimated correlations between consumption of 56 foods, beverages, and supplements assessed by a food-frequency questionnaire, with 676 serum and 848 urine metabolites identified by untargeted liquid chromatography mass spectrometry, ultra-high performance liquid chromatography tandem mass spectrometry, and gas chromatography mass spectrometry in a colon adenoma case-control study (n = 125 cases and 128 controls) while adjusting for age, sex, smoking, fasting, case-control status, body mass index, physical activity, education, and caloric intake. We controlled for multiple comparisons with the use of a false discovery rate of ,0.1. Next, we created serum and urine multiple-metabolite models to predict food intake with the use of 10-fold crossvalidation least absolute shrinkage and selection operator regression for 80% of the data; predicted values were created in the remaining 20%. Finally, we compared predicted values with estimates obtained from self-reported intake for metabolites measured in serum and urine. Results: We identified metabolites associated with 46 of 56 dietary items; 417 urine and 105 serum metabolites were correlated with $1 food, beverage, or supplement. More metabolites in urine (n = 154) than in serum (n = 39) were associated uniquely with one food. We found previously unreported metabolite associations with leafy green vegetables, sugar-sweetened beverages, citrus, added sugar, red meat, shellfish, desserts, and wine. Prediction of dietary intake from multiple-metabolite profiles was similar between biofluids. Conclusions: Candidate metabolite biomarkers of habitual diet are identifiable in both serum and urine. Urine samples offer a valid alternative or complement to serum for metabolite biomarkers of diet in large-scale clinical or epidemiologic studies.Am J Clin Nutr 2016;104:776-89.

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Section: Tablementioning

confidence: 99%

Comparing metabolite profiles of habitual diet in serum and urine

Playdon

Sampson

Cross

et al. 2016

The American Journal of Clinical Nutrition

148

124

View full text Add to dashboard Cite

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“…Increasing attention has been paid to the role of coffee as a protective dietary factor against cancer, including colorectal cancer (7). Coffee is a rich source of several bioactive compounds including polyphenols, diterpenes and caffeine, which may play a protective role in colorectal carcinogenesis (8)(9)(10). Coffee consumption has also been inversely associated with biomarkers of inflammation (11), insulin resistance (12) and insulin secretion (13), which have been linked to colorectal cancer risk (14,15).…”

Section: Introductionmentioning

confidence: 99%

Coffee drinking and colorectal cancer risk: an evaluation based on a systematic review and meta-analysis among the Japanese population

Akter

Kashino

Mizoue

et al. 2016

Jpn. J. Clin. Oncol.

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Objective: It remains unclear whether coffee drinking is associated with colorectal cancer risk. We performed a systematic review and meta-analysis of epidemiologic studies on this issue among the Japanese population. Methods: Original data were obtained from MEDLINE searches using PubMed or from searches of the 'Ichushi' database, complemented with manual searches. Meta-analysis was performed by using the random effects model to estimate the summary relative risk with 95% confidence interval according to the study design. The final judgment was made based on a consensus of the research group members with consideration for both epidemiological evidence and biological plausibility. Results: We identified five cohort studies and nine case-control studies. Of these, one cohort study reported a strong inverse association (in women only), whereas three case-control studies reported a strong inverse association with colon or rectal cancer. In meta-analysis, high consumption of coffee was not appreciably associated with colorectal cancer risk among cohort studies, whereas it was associated with significantly lower risk of colorectal or colon cancer among casecontrol studies. The summary relative risk/odds ratio (95% confidence interval) for the highest versus lowest categories of coffee consumption was 0.95 (0.77-1.17) and 0.78 (0.65-0.95) for cohort and case-control studies, respectively. Conclusions: The evidence is insufficient to support that coffee drinking increases or decreases the risk of colorectal cancer among the Japanese population.

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“…Among them, quinate belongs to xenobiotics pathway, and trigonelline (N′-methylnicotinate) belongs to carbohydrates pathway. Both quinate and trigonelline(N′-methylnicotinate) are serum dietary biomarkers that strongly associated with coffee intake (33). Interestingly, 5 of the metabolites, 1,3,7-trimethylurate, 1,7-dimethylurate, 1-methylurate, theophylline, 1,3-dimethylurate, also belong to caffeine metabolism.…”

Section: Resultsmentioning

confidence: 99%

Circulating metabolite profiles to predict overall survival in advanced non-small cell lung cancer patients receiving first-line chemotherapy

Shen

Chang

et al. 2017

Lung Cancer

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Objectives The prognosis for advanced-stage non-small cell lung cancer (NSCLC) is usually poor. However, survival may be variable and difficult to predict. In the current study, we aimed to identify circulating metabolites as potential predictive biomarkers for overall survival of advanced-stage (III/IV) NSCLC patients treated with first-line platinum-based chemotherapy. Materials and methods Using two-stage study design, we performed global metabolomic profiling in blood of 220 advanced-stage NSCLC patients, including 110 with poor survival and 110 with good survival. Metabolomic profiling was conducted using Metabolon platform. The association of each metabolite with survival was assessed by Cox proportional hazard regression model with adjustment for covariates. Results and conclusion We found levels of 4 metabolites, caffeine, paraxanthine, stachydrine, and methyl glucopyranoside (alpha + beta), differed significantly between NSCLC patients with poor and good survival in both discovery and validation phases (P<0.05). Interestingly, majority of the identified metabolites are involved in caffeine metabolism, and 2 metabolites are related to coffee intake. In fact, caffeine metabolism pathway was the only significant pathway identified which significantly differed between NSCLC patients with poor and good survival (P=1.48E-07) in the pathway analysis. We also found 4 metabolites whose levels were significantly associated with good survival in both discovery and validation phases. Strong cumulative effects on overall survival were observed for these 4 metabolites. In conclusion, we identified a panel of metabolites in caffeine metabolism pathway that may predict survival outcome in advanced-stage NSCLC patients. The identified small metabolites may be useful biomarker candidates to help identify patients who may benefit from platinum-based chemotherapy.

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Serum biomarkers of habitual coffee consumption may provide insight into the mechanism underlying the association between coffee consumption and colorectal cancer

Cited by 114 publications

References 64 publications

Comparing metabolite profiles of habitual diet in serum and urine

Comparing metabolite profiles of habitual diet in serum and urine

Coffee drinking and colorectal cancer risk: an evaluation based on a systematic review and meta-analysis among the Japanese population

Circulating metabolite profiles to predict overall survival in advanced non-small cell lung cancer patients receiving first-line chemotherapy

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