Our previous collaborative studies has developed a molecular diagnosis tool, which is
characterized with a prediction model consisting single nucleotide polymorphisms (SNPs), for
assessing the efficacy of interferon combined therapy for chronic hepatitis C (CHC) patients
prior to treatment.
Aims of this project:
1. To analyze and validate the gene expression profiling dependent of treatment response to
peg-interferon-α plus ribavirin combination therapy in CHC genotype-1 patients.
2. To select the candidate genes and establish a monitoring model assessing the efficacy of
interferon treatment.
Phase:
Phase 4
Details
Lead Sponsor:
Kaohsiung Medical University Chung-Ho Memorial Hospital