Applications of molecular barcode sequencing for the detection of low-frequency variants in circulating tumour DNA from hepatocellular carcinoma.

PURPOSE: Liquid biopsy has emerged as a promising tool for minimally invasive and accurate detection of various malignancies. We aimed to apply molecular barcode sequencing to circulating tumour DNA (ctDNA) from liquid biopsies of hepatocellular carcinoma (HCC). STUDY DESIGN: Patients with HCC or benign liver disease were enrolled between 2017 and 2018. Matched tissue and serum samples were obtained from these patients. Plasma cell-free DNA was extracted and subjected to targeted sequencing with ultra-high coverage and molecular barcoding. RESULTS: The study included 143 patients: 102 with HCC, 7 with benign liver tumours and 34 with chronic liver disease. No tier 1/2 or oncogenic mutations were detected in patients with benign liver disease. Among the HCC patients, 49 (48%) had tier 1/2 mutations in at least one gene; detection rates were higher in advanced stages (75%) than in early stages (26%-33%). TERT was the most frequently mutated gene (30%), followed by TP53 (16%), CTNNB1 (14%), ARID2 (5%), ARID1A (4%), NFE2L2 (4%), AXIN1 (3%) and KRAS (1%). Survival among patients with TP53 mutations was significantly worse (p = 0.007) than among patients without these mutations, whereas CTNNB1 and TERT mutations did not affect survival. ctDNA testing combined with α-fetoprotein and prothrombin induced by vitamin K absence-II analyses improved HCC detection, even in early stages. CONCLUSIONS: ctDNA detection using molecular barcoding technology offers dynamic and personalized information concerning tumour biology, such information can guide clinical diagnosis and management. This detection also has the potential as a minimally invasive approach for prognostic stratification and post-therapeutic monitoring.

Detection of recurrent, rare, and novel gene fusions in patients with acute leukemia using next-generation sequencing approaches.

Identification of gene fusion is an essential part in the management of patients with acute leukemia, not only for diagnosis but also in predicting the treatment outcome and selecting appropriate treatment. Adopting next-generation sequencing (NGS) technology for identification of gene fusion in patients with acute leukemia can be a good alternative to conventional tests. In the present study, the NGS RNA fusion gene panel test was applied to diagnostic samples of patients with acute leukemia to identify fusion genes more efficiently. Among 134 patients with acute leukemia, 53 gene fusions were detected in 52 patients. In addition to the recurrent gene fusions specified in the WHO diagnostic criteria, 11 rare or novel gene fusions were identified. Of those, two were gene fusions associated with Philadelphia-like acute lymphoblastic leukemia (Ph-like ALL), two were novel gene fusions, three were gene fusions with novel partner genes, and six were rare gene fusions from previous reports. We confirmed the clinical utility of the NGS test in identifying clinically significant gene fusions such as gene fusions involving KMT2A that has a large number of partners. Notably, Ph-like ALL-associated gene fusions could be easily identified despite the wide variety of genes involved. The results from the present study may contribute toward a better understanding of the genomic landscape of acute leukemia as well as patient management.

Clinical utility of targeted NGS panel with comprehensive bioinformatics analysis for patients with acute lymphoblastic leukemia.

Acute lymphoblastic leukemia (ALL) is a genetically complex and heterogeneous disease for which a wide range of genetic variations has been identified. With the need for comprehensive high-throughput analysis, we have designed a comprehensive next-generation sequencing (NGS) assay to detect somatic mutations, translocations, and copy number changes and have evaluated its clinical utility in patients with ALL. The panel reliably detected single nucleotide variations (SNV) and copy number variations (CNV) analysis was exceptionally useful in identifying genic and chromosomal CNV which dominated the genetic abnormalities of ALL. We detected SNVs and CNVs simultaneously in a single assay, which could provide an alternative or supplement for several conventional tests and simplify the testing processes. We applied the genetic information obtained to the risk stratification of patients with high risk mutations and further confirmed the clinical utility of the comprehensive genetic testing with intensive bioinformatics analysis.

A branched-chain amino acid metabolite drives vascular fatty acid transport and causes insulin resistance.

Epidemiological and experimental data implicate branched-chain amino acids (BCAAs) in the development of insulin resistance, but the mechanisms that underlie this link remain unclear. Insulin resistance in skeletal muscle stems from the excess accumulation of lipid species, a process that requires blood-borne lipids to initially traverse the blood vessel wall. How this trans-endothelial transport occurs and how it is regulated are not well understood. Here we leveraged PPARGC1a (also known as PGC-1α; encoded by Ppargc1a), a transcriptional coactivator that regulates broad programs of fatty acid consumption, to identify 3-hydroxyisobutyrate (3-HIB), a catabolic intermediate of the BCAA valine, as a new paracrine regulator of trans-endothelial fatty acid transport. We found that 3-HIB is secreted from muscle cells, activates endothelial fatty acid transport, stimulates muscle fatty acid uptake in vivo and promotes lipid accumulation in muscle, leading to insulin resistance in mice. Conversely, inhibiting the synthesis of 3-HIB in muscle cells blocks the ability of PGC-1α to promote endothelial fatty acid uptake. 3-HIB levels are elevated in muscle from db/db mice with diabetes and from human subjects with diabetes, as compared to those without diabetes. These data unveil a mechanism in which the metabolite 3-HIB, by regulating the trans-endothelial flux of fatty acids, links the regulation of fatty acid flux to BCAA catabolism, providing a mechanistic explanation for how increased BCAA catabolic flux can cause diabetes.