ABSTRACT
OBJECTIVE: Hepatocellular carcinoma (HCC) often develops in patients with alcohol-related cirrhosis at an annual risk of up to 2.5%. Some host genetic risk factors have been identified but do not account for the majority of the variance in occurrence. This study aimed to identify novel susceptibility loci for the development of HCC in people with alcohol related cirrhosis. DESIGN: Patients with alcohol-related cirrhosis and HCC (cases: n=1214) and controls without HCC (n=1866), recruited from Germany, Austria, Switzerland, Italy and the UK, were included in a two-stage genome-wide association study using a case-control design. A validation cohort of 1520 people misusing alcohol but with no evidence of liver disease was included to control for possible association effects with alcohol misuse. Genotyping was performed using the InfiniumGlobal Screening Array (V.24v2, Illumina) and the OmniExpress Array (V.24v1-0a, Illumina). RESULTS: Associations with variants rs738409 in PNPLA3 and rs58542926 in TM6SF2 previously associated with an increased risk of HCC in patients with alcohol-related cirrhosis were confirmed at genome-wide significance. A novel locus rs2242652(A) in TERT (telomerase reverse transcriptase) was also associated with a decreased risk of HCC, in the combined meta-analysis, at genome-wide significance (p=6.41×10-9, OR=0.61 (95% CI 0.52 to 0.70). This protective association remained significant after correction for sex, age, body mass index and type 2 diabetes (p=7.94×10-5, OR=0.63 (95% CI 0.50 to 0.79). Carriage of rs2242652(A) in TERT was associated with an increased leucocyte telomere length (p=2.12×10-44). CONCLUSION: This study identifies rs2242652 in TERT as a novel protective factor for HCC in patients with alcohol-related cirrhosis.
Subject(s)
Carcinoma, Hepatocellular , Genetic Predisposition to Disease , Liver Cirrhosis, Alcoholic , Liver Neoplasms , Telomerase , Humans , Carcinoma, Hepatocellular/etiology , Carcinoma, Hepatocellular/genetics , Case-Control Studies , Diabetes Mellitus, Type 2/complications , Genetic Variation , Genome-Wide Association Study , Liver Cirrhosis, Alcoholic/complications , Liver Cirrhosis, Alcoholic/genetics , Liver Neoplasms/etiology , Liver Neoplasms/genetics , Polymorphism, Single Nucleotide , Risk Factors , Telomerase/geneticsABSTRACT
BACKGROUND AND AIMS: Up to 30% of patients with severe alcoholic hepatitis (sAH) die within 3 months of presentation. The degree of ductular reaction, characterized by accumulation of biliary and liver progenitor cells, confers a poor prognosis. Keratin fragments are established serological surrogates of liver injury and keratin 19 (K19) is a histological marker of the ductular reaction. We assessed the relationship between serum K19 levels (viz. CYFRA21-1), histology and outcome in patients with sAH. METHODS: Serum CYFRA21-1 was quantified in pre-treatment serum samples from 824 patients enrolled in the STOPAH trial. The cohort was randomly divided into two groups to test mortality associations; histological analyses were performed using the 87 cases with suitable samples. RESULTS: CYFRA21-1 levels were elevated in sAH and strongly predicted alcoholic steatohepatitis (ASH) on biopsy (area under the receiver operated characteristic [AUROC] 0.785 [95% Confidence Interval 0.602-0.967]) and 90-day survival (AUROC 0.684/0.693). The predictive ability of CYFRA21-1 was comparable with the model of end-stage liver disease (MELD) score and was independently associated with survival in multivariable analysis. CYFRA21-1 moderately correlated with hepatocellular injury markers M30/M65 but displayed a more robust predictive ability. A combination of MELD and CYFRA21-1 conferred a modest improvement in the AUROC value (0.731/0.743). CONCLUSIONS: In sAH serum, CYFRA21-1 levels associate with the presence of ASH on biopsy and independently predict 90-day survival. As a single marker performance is comparable to established scoring systems. Therefore, CYFRA21-1, which is available in many clinical laboratories, may become a useful component of prognostic models.
