Using cell-free DNA for HCC surveillance and prognosis.

Hepatocellular carcinoma (HCC) is the most common form of primary liver cancer. Its incidence is rising faster than any other cancer in the United States and it remains one of the leading causes of cancer-related deaths worldwide. While advances in massive parallel sequencing and integration of 'omics information have transformed the field of oncology, tissue access is often limited in HCC and a single biopsy is poorly representative of the known genetic heterogeneity of tumours. Liquid biopsy has emerged as a promising strategy for analysing circulating tumour components including circulating tumour DNA. Cell-free DNA and tumour DNA are derived from necrotic, apoptotic and living eukaryotic cells. The profiling of genetic and epigenetic alterations in circulating cell-free DNA has potential clinical applications including early disease detection, prediction of treatment response and prognostication in real time. Novel biomarker candidates for disease detection and monitoring are under study. Of these, methylation analyses of circulating tumour DNA have shown promising performance for early HCC detection in at-risk patients. Assessments of assay performance in longitudinal validation cohorts are ongoing. Implementation of liquid biopsy for HCC will likely improve upon the current surveillance strategy. This review summarises the most recent developments on the role and utility of circulating cell-free DNA in the detection and management of HCC.

New structural variations responsible for Charcot-Marie-Tooth disease: The first two large KIF5A deletions detected by CovCopCan software.

Next-generation sequencing (NGS) allows the detection of mutations in inherited genetic diseases, like the Charcot-Marie-Tooth disease (CMT) which is the most common hereditary peripheral neuropathy. The majority of mutations detected by NGS are single nucleotide variants (SNVs) or small indels, while structural variants (SVs) are often underdiagnosed. PMP22 was the first gene described as being involved in CMT via a SV of duplication type. To date, more than 90 genes are known to be involved in CMT, with mainly SNVs and short indels described. Herein targeted NGS and the CovCopCan bioinformatic tool were used in two unrelated families, both presenting with typical CMT symptoms with pyramidal involvement. We have discovered two large SVs in KIF5A, a gene known to cause axonal forms of CMT (CMT2) in which no SVs have yet been described. In the first family, the patient presented with a large deletion of 12 kb in KIF5A from Chr12:57,956,278 to Chr12:57,968,335 including exons 2-15, that could lead to mutation c.(130-943_c.1717-533del), p.(Gly44_Leu572del). In the second family, two cases presented with a large deletion of 3 kb in KIF5A from Chr12:57,974,133 to Chr12:57,977,210 including exons 24-28, that could lead to mutation c.(2539-605_*36 + 211del), p.(Leu847_Ser1032delins33). In addition, bioinformatic sequence analysis revealed that a NAHR (Non-Allelic-Homologous-Recombination) mechanism, such as those in the PMP22 duplication, could be responsible for one of the KIF5A SVs and could potentially be present in a number of other patients. This study reveals that large KIF5A deletions can cause CMT2 and highlights the importance of analyzing not only the SNVs but also the SVs during diagnosis of neuropathies.

Clinical Interpretation and Management of Genetic Variants.

Genetic variants are major determinants of susceptibility to disease, response to therapy, and clinical outcomes. Advances in the short-read sequencing technologies, despite some shortcomings, have enabled identification of the vast majority of the genetic variants in each genome. The major challenge is in identifying the pathogenic variants in cardiovascular diseases. The yield of the genetic testing has been limited because of technological shortcomings and our incomplete understanding of the genetic basis of cardiovascular disorders. To advance the field, a shift to long-read sequencing platforms is necessary. In addition, to discern the pathogenic variants, genetic diseases should be considered as a continuum and the genetic variants as probabilistic factors with a gradient of effect sizes. Moreover, disease-specific physician-scientists with expertise in the clinical medicine and molecular genetics are best equipped to discern functional and clinical significance of the genetic variants. The changes would be expected to enhance clinical utilities of the genetic discoveries.