Compartmentalization of hepatitis C virus variants in patients with hepatocellular carcinoma

Genetically distinct within-host subpopulations of hepatitis C virus persist after Direct-Acting Antiviral treatment failure

Analysis of viral genetic data has previously revealed distinct within-host population structures in both untreated and interferon-treated chronic hepatitis C virus (HCV) infections. While multiple subpopulations persisted during the infection, each subpopulation was observed only intermittently. However, it was unknown whether similar patterns were also present after Direct-Acting Antiviral (DAA) treatment, where viral populations were often assumed to go through narrow bottlenecks. Here we tested for the maintenance of population structure after DAA treatment failure, and whether there were different evolutionary rates along distinct lineages where they were observed. We analysed whole-genome next-generation sequencing data generated from a randomised study using DAAs (the BOSON study). We focused on samples collected from patients (N=84) who did not achieve sustained virological response (i.e., treatment failure) and had sequenced virus from multiple timepoints. Given the short-read nature of the data, we used a number of methods to identify distinct within-host lineages including tracking concordance in intra-host nucleotide variant (iSNV) frequencies, applying sequenced-based and tree-based clustering algorithms to sliding windows along the genome, and haplotype reconstruction. Distinct viral subpopulations were maintained among a high proportion of individuals post DAA treatment failure. Using maximum likelihood modelling and model comparison, we found an overdispersion of viral evolutionary rates among individuals, and significant differences in evolutionary rates between lineages within individuals. These results suggest the virus is compartmentalised within individuals, with the varying evolutionary rates due to different viral replication rates and/or different selection pressures. We endorse lineage awareness in future analyses of HCV evolution and infections to avoid conflating patterns from distinct lineages, and to recognise the likely existence of unsampled subpopulations.

Genetic Variability in Patients with HCV-Related Hepatocellular Carcinoma

Background

The present paper evaluates the genetic variability of HCV in patients with hepatocellular carcinoma (HCC).

Methods

Amino acid substitutions (aas) in NS3, NS5A and core regions were analyzed in 17 patients with HCC (Cases) and 13 without HCC (Controls), all naïve to DAAs. For the Cases, a sample of neoplastic liver tissue, non-neoplastic liver tissue and a serum sample were collected; for the Controls, a sample of liver tissue was collected. Sanger sequencing of three regions was performed using homemade protocols.

Results

Phylogenetic trees showed that there was no difference in the virus populations in the three compartments analyzed for the three HCV regions in patients with HCC. Low variability and no difference between the Cases and Controls were observed in the core and NS5A regions; however, in the NS3 region, a higher variability was observed in the Cases. No difference was observed in the core region between Cases and Controls. In NS3, aa substitutions at positions 103 and 122 were more frequently found in Cases than Controls (in both cases 50% vs 9.1%, p<0.05); moreover, aas in positions 32, 44 (p=0.035 for both), 79 (p=0.008) and 121 (p=0.018) were observed in the Cases and absent in the Controls. Finally, considering the NS5A region, aa substitutions at positions 37 and 54 were more frequently identified in the Cases than the Controls, but without statistical significance.

Conclusion

These data may suggest a higher aa variability in patients with HCC than in those without, especially in the NS3 region.

Use of next generation sequencing technologies for the diagnosis and epidemiology of infectious diseases

For the first time, next generation sequencing technologies provide access to genomic information at a price and scale that allow their implementation in routine clinical practice and epidemiology. While there are still many obstacles to their implementation, there are also multiple examples of their major advantages compared with previous methods. Their main advantage is that a single determination allows epidemiological information on the causative microorganism to be obtained simultaneously, as well as its resistance profile, although these advantages vary according to the pathogen under study. This review discusses several examples of the clinical and epidemiological use of next generation sequencing applied to complete genomes and microbiomes and reflects on its future in clinical practice.

HCV resistance compartmentalization within tumoral and non-tumoral liver in transplanted patients with hepatocellular carcinoma

BACKGROUND & AIMS

We investigated the HCV-RNA amount, variability and prevalence of resistance-associated substitutions (RASs), in plasma, hepatic tumoral and non-tumoral tissue samples in patients undergoing liver-transplant/hepatic-resection (LT/HR), because of hepatocellular carcinoma and/or cirrhosis.

METHODS

Eighteen HCV-infected patients undergoing LT/HR, 94.0% naïve to direct-acting antivirals (DAAs), were analysed. HCV-RNA was quantified in all compartments. NS3/NS5A/NS5B in plasma and/or in tumoral/non-tumoral tissues were analysed using Sanger and Ultra-deep pyrosequencing (UDPS, 9/18 patients). RASs prevalence, genetic-variability and phylogenetic analysis were evaluated.

RESULTS

At the time of LT/HR, HCV-RNA was quantifiable in all compartments of DAA-naïve patients and was generally lower in tumoral than in non-tumoral tissues (median [IQR] = 4.0 [1.2-4.3] vs 4.3[3.1-4.9] LogIU/µg RNA; P = 0.193). The one patient treated with sofosbuvir + ribavirin represented an exception with HCV-RNA quantifiable exclusively in the liver, but with higher level in tumoral than in non-tumoral tissues (51 vs 7 IU/µg RNA). RASs compartmentalization was found by Sanger in 4/18 infected-patients, and by UDPS in other two patients. HCV-compartmentalization resulted to be associated with HBcAb-positivity (P = 0.013). UDPS showed approximately higher genetic-variability in NS3/NS5A sequences in all compartments. Phylogenetic-analysis showed defined and intermixed HCV-clusters among/within all compartments, and were strongly evident in the only non-cirrhotic patient, with plasma and non-tumoral sequences generally more closely related.

CONCLUSIONS

Hepatic compartments showed differences in HCV-RNA amount, RASs and genetic variability, with a higher segregation within the tumoral compartment. HBV coinfection influenced the HCV compartmentalization. These results highlight HCV-strain diversifications within the liver, which could explain some of the failures occurring even today in the era of DAAs.