This study aims to recruit 3000 people with liver cirrhosis into a Prospective cohort for early detection of Liver cancer - the Pearl cohort. The study team believe that using a combination of novel tests may improve the detection of early Hepatocellular Carcinoma (HCC).
During a four-year follow-up period, around 100 Pearl patients are expected to be diagnosed with HCC. Blood, urine, clinical and imaging data will be collected over the follow up period. The samples will be used to identify a range of tests (including genetic, protein and other biomarkers), which along with the clinical data will hopefully identify those most at risk of developing HCC, and to identify HCC at the earliest possible time points.
Study Type
OBSERVATIONAL
Enrollment
3,000
The samples will be used to identify a range of tests (including genetic, protein and other biomarkers), which along with the clinical data will hopefully identify those most at risk of developing HCC, and to identify HCC at the earliest possible time points.
Hepatology Clinical Trial Unit, John Radcliffe Hospital
Oxford, Oxfordshire, United Kingdom
RECRUITINGSensitivity of novel diagnostic approaches for the early diagnosis of HCC in enrolled patients who are diagnosed with HCC by conventional approaches.
Diagnostic approaches to be tested will include: 1. detection of epigenetic (e.g. methylation profiling) and genetic mutations, and copy number variations in circulating tumour DNA; 2. multiparametric MRI liver imaging including MR biomarkers of inflammation, fibrosis, fat and iron content; 3. host genetic makeup (relevant variants identified through Genome Wide Association Studies); 4. detection of autoantibodies to tumour associated antigens; 5. epitope mapping of circulating antibody repertoire using random peptide libraries; 6. protein biomarkers including the L3 isoform of alphafetoprotein, and des-gammacarboxy- prothrombin; 7. proteomic and metabolomic profiling, including steroid metabolic signatures in urine.
Time frame: When 50 cases of HCC have accumulated through to study completion; up to 5 years
Specificity of novel diagnostic approaches for the early diagnosis of HCC in enrolled patients who are diagnosed with HCC by conventional approaches.
Diagnostic approaches to be tested will include: 1. detection of epigenetic (e.g. methylation profiling) and genetic mutations, and copy number variations in circulating tumour DNA; 2. multiparametric MRI liver imaging including MR biomarkers of inflammation, fibrosis, fat and iron content; 3. host genetic makeup (relevant variants identified through Genome Wide Association Studies); 4. detection of autoantibodies to tumour associated antigens; 5. epitope mapping of circulating antibody repertoire using random peptide libraries; 6. protein biomarkers including the L3 isoform of alphafetoprotein, and des-gammacarboxy- prothrombin; 7. proteomic and metabolomic profiling, including steroid metabolic signatures in urine.
Time frame: When 50 cases of HCC have accumulated through to study completion; up to 5 years
Positive/Negative predictive values of novel diagnostic approaches for the early diagnosis of HCC in enrolled patients who are diagnosed with HCC by conventional approaches.
Diagnostic approaches to be tested will include: 1. detection of epigenetic (e.g. methylation profiling) and genetic mutations, and copy number variations in circulating tumour DNA; 2. multiparametric MRI liver imaging including MR biomarkers of inflammation, fibrosis, fat and iron content; 3. host genetic makeup (relevant variants identified through Genome Wide Association Studies); 4. detection of autoantibodies to tumour associated antigens; 5. epitope mapping of circulating antibody repertoire using random peptide libraries; 6. protein biomarkers including the L3 isoform of alphafetoprotein, and des-gammacarboxy- prothrombin; 7. proteomic and metabolomic profiling, including steroid metabolic signatures in urine.
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Time frame: When 50 cases of HCC have accumulated through to study completion; up to 5 years
To develop models that can be used to "risk-stratify" cirrhosis patients according to their future risk of HCC
The Harrell's Concordance Index (C-index) will be calculated for each biomarker/model of interest. The minimum and maximum C-index scores are 0 and 1, respectively, where the higher the score the better the biomarker/model is at identifying HCC risk. C-index values indicate the degree to which individuals who develop HCC have a higher risk score than those who do not. C-index values will be adapted to incorporate non-HCC mortality as a competing risk. The C-index value will be used to identify the biomarkers/models with the best discriminative ability.
Time frame: Throughout study to completion; 5 years
To better understand the incidence of HCC in a UK population stratified by underlying cirrhosis aetiology
Cumulative incidence of HCC according to cirrhosis aetiology
Time frame: At 1, 3 and 5 year post- baseline.