How to read a next-generation sequencing report-what oncologists need to know.

Next-generation sequencing (NGS) of tumor cell-derived DNA/RNA to screen for targetable genomic alterations is now widely available and has become part of routine practice in oncology. NGS testing strategies depend on cancer type, disease stage and the impact of results on treatment selection. The European Society for Medical Oncology (ESMO) has recently published recommendations for the use of NGS in patients with advanced cancer. We complement the ESMO recommendations with a practical review of how oncologists should read and interpret NGS reports. A concise and straightforward NGS report contains details of the tumor sample, the technology used and highlights not only the most important and potentially actionable results, but also other pathogenic alterations detected. Variants of unknown significance should also be listed. Interpretation of NGS reports should be a joint effort between molecular pathologists, tumor biologists and clinicians. Rather than relying and acting on the information provided by the NGS report, oncologists need to obtain a basic level of understanding to read and interpret NGS results. Comprehensive annotated databases are available for clinicians to review the information detailed in the NGS report. Molecular tumor boards do not only stimulate debate and exchange, but may also help to interpret challenging reports and to ensure continuing medical education.

Genetic profiling using plasma-derived cell-free DNA in therapy-naïve hepatocellular carcinoma patients: a pilot study.

Background: Hepatocellular carcinomas (HCCs) are not routinely biopsied, resulting in a lack of tumor materials for molecular profiling. Here we sought to determine whether plasma-derived cell-free DNA (cfDNA) captures the genetic alterations of HCC in patients who have not undergone systemic therapy. Patients and methods: Frozen biopsies from the primary tumor and plasma were synchronously collected from 30 prospectively recruited, systemic treatment-naïve HCC patients. Deep sequencing of the DNA from the biopsies, plasma-derived cfDNA and matched germline was carried out using a panel targeting 46 coding and non-coding genes frequently altered in HCCs. Results: In 26/30 patients, at least one somatic mutation was detected in biopsy and/or cfDNA. Somatic mutations in HCC-associated genes were present in the cfDNA of 63% (19/30) of the patients and could be detected 'de novo' without prior knowledge of the mutations present in the biopsy in 27% (8/30) of the patients. Mutational load and the variant allele fraction of the mutations detected in the cfDNA positively correlated with tumor size and Edmondson grade. Crucially, among the seven patients in whom the largest tumor was ≥5 cm or was associated with metastasis, at least one mutation was detected 'de novo' in the cfDNA of 86% (6/7) of the cases. In these patients, cfDNA and tumor DNA captured 87% (80/92) and 95% (87/92) of the mutations, suggesting that cfDNA and tumor DNA captured similar proportions of somatic mutations. Conclusion: In patients with high disease burden, the use of cfDNA for genetic profiling when biopsy is unavailable may be feasible. Our results support further investigations into the clinical utility of cfDNA in a larger cohort of patients.

In vivo analysis at the cellular level reveals similar steatosis induction in both hepatitis C virus genotype 1 and 3 infections.

Steatosis is a frequent histological feature of hepatitis C virus (HCV) infection. Cohort studies of patients with chronic hepatitis C identified HCV genotype 3 (HCV GT3) as the prevalent steatotic genotype. Moreover, Huh-7 cells over-expressing HCV GT3 core protein accumulate more triglyceride in larger lipid droplets than cells expressing core proteins of other HCV genotypes. However, little is known about the relationship of steatosis and HCV infection at the cellular level in vivo. In this study, we used highly sensitive multiplex in situ hybridization methodology together with lipid staining to investigate HCV-induced lipid droplet accumulation at the cellular level in liver biopsies. Consistent with previous reports, histological steatosis grades were significantly higher in GT3 compared to GT1 infected livers, but independent of viral load. Using nile red lipid stainings, we observed that the frequency of lipid droplet containing cells was similar in HCV GT1- and HCV GT3-infected livers. Lipid droplet formation preferentially occurred in HCV-infected cells irrespective of the genotype, but was also observed in noninfected cells. These findings demonstrate that the main difference between GT1- and GT3-induced steatosis is the size of lipid droplets, but not the number or relative distribution of lipid droplets in infected vs uninfected hepatocytes.

Nasal osteoma in a dairy cow: a combined clinical, imaging and histopathological approach to diagnosis.

An 8-year-old Brown Swiss dairy cow was presented with unilateral epistaxis and mild inspiratory stridor. At that time endoscopic examination revealed a smooth-surfaced mass within the left nasal cavity. Biopsy samples were collected and a diagnosis of fibrosarcoma was made. Eighteen months later the animal developed severe respiratory distress that led to difficulties in feeding and consequently to emaciation and a dramatic drop in milk production. The cow was humanely destroyed and submitted for post-mortem examination. The head was subject to further investigation by radiography, computed tomography and magnetic resonance imaging. These techniques revealed a non-infiltrative, well-circumscribed mass of both radiodense and heterogeneously intense structures. Histopathological examination revealed a mass consisting of well-differentiated and interlacing bone trabeculae lined by osteoblasts and multinucleated osteoclasts. In contrast to the initial diagnosis, the later diagnostic approaches supported the diagnosis of osteoma.