Hepatocellular Carcinoma (HCC) is the fifth most common cancer world-wide. It is particularly prevalent in Asia, and its occurrence is highest in areas where hepatitis B is prevalent, indicating a possible causal relationship. Follow up of high-risk populations such as chronic hepatitis patients and early diagnosis of transitions from chronic hepatitis to HCC would improve cure rates. In most cases HCC is detected late resulting in increased mortality and morbidity. The purpose of this study is to develop and test non-invasive biomarkers based on methylation changes in PBMC and circulated tumor DNA in hepatocellular carcinomas patients.
Study Type
OBSERVATIONAL
Enrollment
403
Blood sample from patients with HCC, healthy individuals and individuals with hepatitis B will be collected, and DNA will extracted from PBMC and circulated tumor DNA will be subjected to bisulfite conversion. DNA from PBMC DNA will be analyzed with primers developed for the AHNAK-STAP1 genes. Plasma samples will be subjected to EZ direct DNA extraction and bisulfite conversion kit and will be amplified with primers developed to amplify the target regions. DNA will be used for the subsequent PCR amplification with specific primer to generate PCR amplicon for sequencing using a double PCR procedure. The product of PCR reaction will be subjected to indexed MiSeq Next-Generation sequencing that will allow us quantify DNA methylation level.
Infectious Diseases Division
Dhaka, Bangladesh
Calculation of M Scores and HCC Probability Scores
We normalized median methylation values (range 0-100) for 'HCC-detect' (Hepatocellular Carcinoma Detection) and 'HCC-spec' (Hepatocellular Carcinoma Specificity). 'HCC-detect' is derived from CHFR, VASH2, CCNJ, and GRID2IP regions, aiming to broadly identify HCC. Theoretical range is -6.6438 to 8.6438, with observed -3.541 to 7.65; higher scores indicate increased HCC likelihood. 'HCC-spec', focusing on the F12 region, differentiates HCC from 31 other cancers and normal cells, with theoretical range -3.3219 to 6.64385 (observed -3.3219 to 6.6297). Higher scores signify greater HCC specificity. Both scores, modeled via logistic regression in Prism, predict HCC probability, linking higher scores with higher HCC likelihood or specificity
Time frame: 6 months to 1 year
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