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Multicenter Study
. 2022 Aug;67(8):3831-3841.
doi: 10.1007/s10620-021-07299-2. Epub 2021 Nov 20.

Duodenal Microbiome and Serum Metabolites Predict Hepatocellular Carcinoma in a Multicenter Cohort of Patients with Cirrhosis

Affiliations
Multicenter Study

Duodenal Microbiome and Serum Metabolites Predict Hepatocellular Carcinoma in a Multicenter Cohort of Patients with Cirrhosis

Tien S Dong et al. Dig Dis Sci. 2022 Aug.

Abstract

Background: Hepatocellular carcinoma (HCC) is rapidly increasing in the U.S. and is a leading cause of mortality for patients with cirrhosis. Discovering novel biomarkers for risk stratification of HCC is paramount. We examined biomarkers of the gut-liver axis in a prospective multicenter cohort.

Methods: Patients with cirrhosis without a history of HCC were recruited between May 2015 and March 2020 and prospectively followed at 3 tertiary care hospitals in Los Angeles. Microbiome analysis was performed on duodenal biopsies and metabolomic analysis was performed on serum samples, collected at the time of enrollment. Optimal microbiome-based survival analysis and Cox proportional hazards regression analysis were used to determine microbiota and metabolite associations with HCC development, respectively.

Results: A total of 227 participants with liver cirrhosis contributed a total of 459.58 person-years of follow-up, with 14 incident HCC diagnoses. Male sex (HR = 7.06, 95% CI = 1.02-54.86) and baseline hepatic encephalopathy (HE, HR = 4.65, 95% CI = 1.60-13.52) were associated with developing HCC over follow-up. Adjusting for age, sex, baseline HE, and alkaline phosphatase, an increased risk of HCC were observed for participants with the highest versus lowest three quartiles for duodenal Alloprevotella (HR = 3.22, 95% CI = 1.06-9.73) and serum taurocholic acid (HR = 6.87, 95% CI = 2.32-20.27), methionine (HR = 9.97, 95% CI = 3.02-32.94), and methioninesulfoxide (HR = 5.60, 95% CI = 1.84-17.10). Being in the highest quartile for Alloprevotella or methionine had a sensitivity and specificity for developing HCC of 85.71% and 60.56%, respectively, with an odds ratio of 10.92 (95% CI = 2.23-53.48).

Conclusion: Alloprevotella and methionine, methioninesulfoxide, and taurocholic acid predicted future HCC development in a high-risk population of participants with liver cirrhosis.

Keywords: Alloprevotella; Bile acids; Biogenic amines; Methionine; Small intestine; Taurocholic acid; Time-to-event.

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Conflict of interest statement

All authors do not have any potential conflicts of interest.

Figures

Fig. 1
Fig. 1
Baseline duodenal microbial differences between patients who developed hepatocellular carcinoma (HCC) as compared to those that never did. a Principal coordinate analysis plot of microbial composition colored by HCC development. b Alpha diversity by Shannon Index of the microbial community between patients that developed HCC as compared to those that did not. Taxonomic plots by c phyla and genus d between patients who did develop HCC as compared to those that did not. Only taxa that had a relative abundance of ≥ 1% are shown
Fig. 2
Fig. 2
Notch box plots of metabolites that were statistically different between patients that developed hepatocellular carcinoma (HCC) as compared to those that never developed HCC. P-values listed are adjusted for sex, age, baseline HE, alkaline phosphatase, and false discovery rate
Fig. 3
Fig. 3
Kaplan Meir Curves of variables associated with increased risk of HCC development by Cox Regression adjusting for false discovery rate and age, sex, and the presence of baseline hepatic encephalopathy. a Kaplan Meir curve of duodenal Alloprevotella comparing the upper quartile to the bottom 3 quartile. b Kaplan Meir curve of duodenal taurocholic acid (serum bile acid) comparing the upper quartile to the bottom 3 quartile. c Kaplan Meir curve of duodenal methioninesulfoxide (serum metabolite) comparing the upper quartile to the bottom 3 quartile. d Kaplan Meir curve of duodenal methionine (serum metabolite) comparing the upper quartile to the bottom 3 quartile

References

    1. Siegel RL, Miller KD, Jemal A. Cancer statistics, 2019. CA Cancer J Clin. 2019;69:7–34. doi: 10.3322/caac.21551. - DOI - PubMed
    1. Howlader N, Noone A, Krapcho M, et al. SEER Cancer Statistics Review, 1975–2014. National Cancer Institute. 2018:posted to the SEER web site, April 2017.
    1. Llovet JM, Burroughs A, Bruix J. Hepatocellular carcinoma. Lancet (Lond Engl) 2003;362:1907–1917. doi: 10.1016/S0140-6736(03)14964-1. - DOI - PubMed
    1. Singal AG, Pillai A, Tiro J. Early detection, curative treatment, and survival rates for hepatocellular carcinoma surveillance in patients with cirrhosis: a meta-analysis. PLoS Med. 2014;11:e1001624. doi: 10.1371/journal.pmed.1001624. - DOI - PMC - PubMed
    1. Albhaisi S, Shamsaddini A, Fagan A. Gut microbial signature of hepatocellular cancer in men with cirrhosis. Liver Transpl. 2021;27:629–640. doi: 10.1002/lt.25994. - DOI - PubMed

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