Abstract

553 Background: HCC is one of the deadliest tumors with poor outcomes often diagnosed in late stages. Current surveillance strategies (alfa-fetoprotein (AFP) plus ultrasound (USG)) for high-risk population (HRP) have poor sensitivity (SN) and reasonable specificity (SP) of 61% and 92%, respectively. Triple phase computed tomography (CT) imaging has good sensitivity and specificity (≈ 90% for both) but the evidence does not support its use for routine surveillance. All these modalities do not have prognostic (survival) value. We attempted to develop a non-invasive, cfDNA-based tests to improve the diagnostic value of the current standard of care modalities (AFP and USG) and help in predicting the outcomes at diagnosis. We hypothesized that RNA and gene expression in HCC tissues is a surrogate for epigenome (DNA-methylation changes). Methods: We curated a 21-gene cfDNA ep-Sig from the literature with a proven prognostic value. Evidence suggests epigenetic changes in every gene of this panel affect HCC outcomes influencing clinicopathological characteristics (large tumor size, vascular invasion, advanced staging) or early post-operative recurrence, and survival. We compared RNA and gene expression of the genes in the ep-Sig between normal (NT) and HCC tissues using a web-based tool, TNMplot.com that uses the data from the Gene Expression Omnibus of the National Center for Biotechnology Information (NCBI-GEO) or Cancer Genome Atlas (TCGA), Therapeutically Applicable Research to Generate Effective Treatments (TARGET), and The Genotype-Tissue Expression (GTEx) repositories was used create this tool. It uses Mann-Whitney or Kruskal-Wallis tests to compute statistical significance. Results: RNA expression of all the genes from the ep-Sig was significantly higher in HCC than NT (1.133, p=5.84e-15). Gene expression was 19/21 genes was higher in HCC tissues (1.15, p=1.3e-08). The other 2 genes were not detected in the tested samples. Conclusions: Our ep-Sig which has a proven prognostic value and reliable prevalence in HCC patients. This study is the first step in developing clinically useful blood-based test that can revamp the current diagnostic and screening practices when used alongside AFP and USG.

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