Persistently Elevated HBV Viral-Host Junction DNA in Urine as a Biomarker for Hepatocellular Carcinoma Minimum Residual Disease and Recurrence: A Pilot Study.

Hepatitis B virus (HBV)-host junction sequences (HBV-JSs) has been detected in the urine of patients with HBV infection. This study evaluated HBV-JSs as a marker of minimum residual disease (MRD) and tumor recurrence after treatment in HBV-hepatocellular carcinoma (HCC) patients. Archived serial urine DNA from two HBV-HCC with recurrence as confirmed by MRI and four HBV-related cirrhosis (LC) patients were used. Urinary HBV-JSs were identified by an HBV-targeted NGS assay. Quantitative junction-specific PCR assays were developed to investigate dynamic changes of the most abundant urinary HBV-JS. Abundant urinary HBV-JSs were identified in two cases of tumor recurrence. In case 1, a 78-year-old female with HBV- HCC underwent a follow-up MRI following microwave ablation. While MRI results were variable, the unique HBV-JS DNA, HBV-Chr17, steadily increased from initial diagnosis to HCC recurrence. In case 2, a 74-year-old male with HBV-HCC contained two HBV-JS DNA, HBV-Chr11 and HBV-TERT, that steadily increased after initial HCC diagnosis till recurrence. One LC examined had HBV-TERT DNA detected, but transiently in 3.5 years during HCC surveillance. HBV-JS DNA was persistently elevated prior to the diagnosis of recurrent HCC, suggesting the potential of urinary HBV-JS DNA to detect MRD and HCC recurrence after treatment.

Detection of Hepatitis B Virus-Host Junction Sequences in Urine of Infected Patients.

Integrated hepatitis B virus (HBV) DNA, found in more than 85% of HBV-associated hepatocellular carcinomas (HBV-HCCs), can play a significant role in HBV-related liver disease progression. HBV-host junction sequences (HBV-JSs), created through integration events, have been used to determine HBV-HCC clonality. Here, we investigate the feasibility of analyzing HBV integration in a noninvasive urine liquid biopsy. Using an HBV-targeted next-generation sequencing (NGS) assay, we first identified HBV-JSs in eight HBV-HCC tissues and designed short-amplicon junction-specific polymerase chain reaction assays to detect HBV-JSs in matched urine. We detected and validated tissue-derived junctions in five of eight matched urine samples. Next, we screened 32 urine samples collected from 25 patients infected with HBV (5 with hepatitis, 10 with cirrhosis, 4 with HCC, and 6 post-HCC). Encouragingly, all 32 urine samples contained HBV-JSs detectable by HBV-targeted NGS. Of the 712 total HBV-JSs detected in urine, 351 were in gene-coding regions, 11 of which, including TERT (telomerase reverse transcriptase), had previously been reported as recurrent integration sites in HCC tissue and were found only in the urine patients with cirrhosis or HCC. The integration breakpoints of HBV DNA detected in urine were found predominantly (~70%) at a previously identified integration hotspot, HBV DR1-2 (down-regulator of transcription 1-2). Conclusion: HBV viral-host junction DNA can be detected in urine of patients infected with HBV. This study demonstrates the potential for a noninvasive urine liquid biopsy of integrated HBV DNA to monitor patients infected with HBV for HBV-associated liver diseases and the efficacy of antiviral therapy.

ChimericSeq: An open-source, user-friendly interface for analyzing NGS data to identify and characterize viral-host chimeric sequences.

Identification of viral integration sites has been important in understanding the pathogenesis and progression of diseases associated with particular viral infections. The advent of next-generation sequencing (NGS) has enabled researchers to understand the impact that viral integration has on the host, such as tumorigenesis. Current computational methods to analyze NGS data of virus-host junction sites have been limited in terms of their accessibility to a broad user base. In this study, we developed a software application (named ChimericSeq), that is the first program of its kind to offer a graphical user interface, compatibility with both Windows and Mac operating systems, and optimized for effectively identifying and annotating virus-host chimeric reads within NGS data. In addition, ChimericSeq's pipeline implements custom filtering to remove artifacts and detect reads with quantitative analytical reporting to provide functional significance to discovered integration sites. The improved accessibility of ChimericSeq through a GUI interface in both Windows and Mac has potential to expand NGS analytical support to a broader spectrum of the scientific community.