Development and characterization of reference materials for EGFR, KRAS, NRAS, BRAF, PIK3CA, ALK, and MET genetic testing.

BACKGROUND: Along with the dramatic development of molecular diagnostic testing for the detection of oncogene variations, reference materials (RMs) have become increasingly important in performance evaluation of genetic testing. OBJECTIVE: In this study, we built a set of RMs for genetic testing based on next-generation sequencing (NGS). METHOD: Solid tumor tissues were selected as the samples of RMs for preparation. NGS was used to determine and validate the variants and the mutation frequency in DNA samples. Digital PCR was used to determine the copy numbers of RNA samples. The performance of the RMs was validated by six laboratories. RESULTS: Thirty common genetic alterations were designed based on these RMs. RMs consisted of a positive reference, a limit of detection reference, and a negative reference. The validation results confirmed the performance of the RMs. CONCLUSION: These RMs may be an attractive tool for the development, validation, and quality monitoring of molecular genetic testing.

A multicenter real-world study of tumor-derived DNA from pleural effusion supernatant in genomic profiling of advanced lung cancer.

BACKGROUND: Pleural effusion (PE) is commonly observed in advanced lung cancer. Research has suggested that molecular profiling of PE could be used to detect tumor driver mutations, thus informing clinical decision-making. However, the performance of PE samples in a real-world setting has yet to be examined. METHODS: A total of 678 metastatic lung cancer patients with pleural effusion were enrolled in this study. Cohort 1 included 22 patients whose PE and matched plasma samples were simultaneously collected as a pilot study. Cohort 2 comprised 656 patients, from whom 734 samples were collected in a real world setting. These samples were subjected to targeted next-generation sequencing (NGS) of 1,021 cancer-related genes. RESULTS: PE supernatant was the preferred choice for genetic profiling. While the maximal somatic allele frequency (MSAF) of plasma in patients with M1a stage was significantly lower than that in patients with M1b/c stages (4.4%±9.6% vs. 9.0%±14.1%, P<0.01), the MSAF of PE supernatant was similar between M1a and M1b/c stages. PE supernatant demonstrated higher sensitivity than plasma in detecting actionable mutations in cohort 1 (81.8% vs. 45.5%, P=0.01) as well as in M1a disease (84.7% vs. 42.1%, P<0.01), but not in M1b/c disease, in cohort 2. Known resistant mutations were identified in 72 of the 117 patients who were resistant to first- or second-generation EGFR-TKIs, 22 of the 42 patients who were resistant to osimertinib, and 9 of the 13 patients who were resistant to crizotinib. Remarkably, PE supernatant outperformed plasma in identifying mutations that confer resistance to first- and second-generation EGFR-TKIs (75.4% vs. 29.8%, P<0.001). CONCLUSIONS: This real-world large cohort study verified that PE supernatant had higher sensitivity than plasma for identifying actionable mutations, including resistance mutations. PE supernatant would be preferred by physicians for assessing tumor genomics in advanced lung cancer when tumor tissue is not available.

Genotyping of Circulating Tumor DNA Reveals the Clinically Actionable Mutation Landscape of Advanced Colorectal Cancer.

Circulating tumor DNA (ctDNA) enables genomic profiling of colorectal cancer. We investigated therapeutic targets by performing ctDNA panel-captured sequencing of 152 blood samples from advanced stage patients, from which somatic mutations and potentially actionable targets were evaluated. An additional 11 matched tissue samples were retrospectively obtained to verify target validity. The mutation frequencies of 1,127 collective genetic variants identified in our study strongly correlated with those of multiple public databases (Pearson R 2 = 0.92, P < 0.0001). The clonal fraction of driver genes was 90.3%, which was significantly higher than that of potential passenger genes (58.12%). Totally, 90 drug-sensitive genes from 56 patients (36.84%) were identified, including recurring targets PIK3CA, FBXW7, EGFR, BRAF, and NRAS Various resistance mechanisms of anti-EGFR antibodies were revealed via ctDNA profiling, with 29 patients individually exhibiting multiple mechanisms, suggesting considerable resistance heterogeneity in our study population. Of the matched tissue/blood pairs, 88.14% of tissue-derived mutations were detected in ctDNA, and 88.9% of actionable targets were validated. The mutational landscape of ctDNA was highly consistent with tissue databases, and ctDNA profiling showed favorable concordance with tumor tissues in our matched analysis. Thus, comprehensive ctDNA genotyping is a promising noninvasive alternative to biopsy-derived analysis for determining targeted therapy in advanced colorectal cancer.

Author Correction: Circulating tumor DNA analysis depicts subclonal architecture and genomic evolution of small cell lung cancer.

The original version of this Article contained an error in Fig. 2, in which the left y-axis labels 'tDNA' and 'ctDNA' were inadvertently inverted. This has been corrected in the PDF and HTML versions of the Article.

Circulating tumor DNA analysis depicts subclonal architecture and genomic evolution of small cell lung cancer.

Subclonal architecture and genomic evolution of small-cell lung cancer (SCLC) under treatment has not been well studied primarily due to lack of tumor specimens, particularly longitudinal samples acquired during treatment. SCLC is characterized by early hematogenous spread, which makes circulating cell-free tumor DNA (ctDNA) sequencing a promising modality for genomic profiling. Here, we perform targeted deep sequencing of 430 cancer genes on pre-treatment tumor biopsies, as well as on plasma samples collected prior to and during treatment from 22 SCLC patients. Similar subclonal architecture is observed between pre-treatment ctDNA and paired tumor DNA. Mean variant allele frequency of clonal mutations from pre-treatment ctDNA is associated with progression-free survival and overall survival. Pre- and post-treatment ctDNA mutational analysis demonstrate that mutations of DNA repair and NOTCH signaling pathways are enriched in post-treatment samples. These data suggest that ctDNA sequencing is promising to delineate genomic landscape, subclonal architecture, and genomic evolution of SCLC.

Technical Validation of a Next-Generation Sequencing Assay for Detecting Clinically Relevant Levels of Breast Cancer-Related Single-Nucleotide Variants and Copy Number Variants Using Simulated Cell-Free DNA.

Next-generation sequencing (NGS) is commonly used in a clinical setting for diagnostic and prognostic testing of genetic mutations to select optimal targeted therapies. Herein, we describe the development of a custom NGS assay for detecting single-nucleotide variants (SNVs) and copy number variations (CNVs) in a panel of 51 genes related to breast cancer. We designed and implemented a validation strategy in accordance with principles and guidelines developed by the Next-Generation Sequencing: Standardization of Clinical Testing work group using artificial, cell-free DNA (cfDNA) with mutant fragments prepared in a simple, rapid, and cost-effective manner. For SNV detection, our test had 96.30% sensitivity at mutant allele frequency ≥0.5% with high specificity (99.9997%) and accuracy (99.9996%). For CNV detection, the approach had 95.83% sensitivity for copy numbers at 1.25× (25.6% extra copies) with high specificity (99.77%) and accuracy (99.76%). In addition, our NGS-based assay demonstrated high intrarun and interrun reproducibility, high consistency compared to digital PCR, and a low cross-contamination rate. An overall assessment using cfDNA and plasma cfDNA samples demonstrated our custom NGS assay yields a reliable and robust detection sensitivity with a mutant allele frequency as low as 0.5% for SNVs and copy number of 1.25× for CNVs.

A novel mutation of the SLC25A13 gene in a Chinese patient with citrin deficiency detected by target next-generation sequencing.

Type II citrullinaemia, also known as citrin deficiency, is an autosomal recessive metabolic disorder, which is caused by pathogenic mutations in the SLC25A13 gene on chromosome 7q21.3. One of the clinical manifestations of type II citrullinaemia is neonatal intrahepatic cholestatic hepatitis caused by citrin deficiency (NICCD, OMIM# 605814). In this study, a 5-month-old female Chinese neonate diagnosed with type II citrullinaemia was examined. The diagnosis was based on biochemical and clinical findings, including organic acid profiling using a gas chromatography mass spectrometry (GC/MS), and the patient's parents were unaffected. Approximately 14 kb of the exon sequences of the SLC25A13 and two relative genes (ASS1 and FAH) from the proband and 100 case-unrelated controls were captured by array-based capture method followed by high-throughput next-generation sequencing. Two single-nucleotide mutations were detected in the proband, including the previous reported c.1177+1G>A mutation and a novel c.754 G>A mutation in the SLC25A13 gene. Sanger sequence results showed that the patient was a compound heterozygote for the two mutations. The novel mutation (c.754 G>A), which is predicted to affect the normal structure and function of citrin, is a candidate pathogenic mutation. Target sequence capture combined with high-throughput next-generation sequencing technologies is proven to be an effective method for molecular genetic testing of type II citrullinaemia.

Targeted next-generation sequencing as a comprehensive test for patients with and female carriers of DMD/BMD: a multi-population diagnostic study.

Duchenne and Becker muscular dystrophies (DMD/BMD) are the most commonly inherited neuromuscular disease. However, accurate and convenient molecular diagnosis cannot be achieved easily because of the enormous size of the dystrophin gene and complex causative mutation spectrum. Such traditional methods as multiplex ligation-dependent probe amplification plus Sanger sequencing require multiple steps to fulfill the diagnosis of DMD/BMD. Here, we introduce a new single-step method for the genetic analysis of DMD patients and female carriers in real clinical settings and demonstrate the validation of its accuracy. A total of 89 patients, 18 female carriers and 245 non-DMD patients were evaluated using our targeted NGS approaches. Compared with traditional methods, our new method yielded 99.99% specificity and 98.96% sensitivity for copy number variations detection and 100% accuracy for the identification of single-nucleotide variation mutations. Additionally, this method is able to detect partial deletions/duplications, thus offering precise personal DMD gene information for gene therapy. We detected novel partial deletions of exons in nine samples for which the breakpoints were located within exonic regions. The results proved that our new method is suitable for routine clinical practice, with shorter turnaround time, higher accuracy, and better insight into comprehensive genetic information (detailed breakpoints) for ensuing gene therapy.

Analysis of a Chinese pedigree with Zellweger syndrome reveals a novel PEX1 mutation by next-generation sequencing.

BACKGROUND: Autosomal recessive Zellweger spectrum disorder (ZSD), the main subgroup of the peroxisome biogenesis disorders (PBDs), can be caused by mutations in any of the 13 PEX genes. Zellweger syndrome (ZS) is the most common and severe phenotype in the heterogeneous ZSD. For the large number genes involved, it is difficult to make a precise genetic diagnosis by traditional methods at a time. A combination of enrichment of targeted genes and next-generation sequencing (NGS) would result in both high efficiency and low cost for targeted sequencing of genes of interest. METHODS: To identify potential mutations in a Chinese family associated with Zellweger syndrome, 1930kb of all the targeted region of PEX genes were captured and sequenced using NGS. We also performed Sanger sequencing to validate the NGS results. RESULTS: Here, we reported a Chinese patient diagnosed as a severe classic type of PBD based on a clinical investigation. We then performed microarray-based NGS to detect the variants in PEX genes of the whole family. One reported heterozygosis mutation (c.782_783delAA) was identified in the patient's father and one novel heterozygosis missense mutation (c.475G>C) was found in the patient's mother, the patient inherited both mutations. CONCLUSIONS: The results proved that the application of target sequence capture using chip and high-throughput NGS is a valuable tool for the molecular diagnosis of peroxisome biogenesis disorders. The accuracy, high-throughput and speed of the method make it suitable for clinical application.

Identification of sequence variants in genetic disease-causing genes using targeted next-generation sequencing.

BACKGROUND: Identification of gene variants plays an important role in research on and diagnosis of genetic diseases. A combination of enrichment of targeted genes and next-generation sequencing (targeted DNA-HiSeq) results in both high efficiency and low cost for targeted sequencing of genes of interest. METHODOLOGY/PRINCIPAL FINDINGS: To identify mutations associated with genetic diseases, we designed an array-based gene chip to capture all of the exons of 193 genes involved in 103 genetic diseases. To evaluate this technology, we selected 7 samples from seven patients with six different genetic diseases resulting from six disease-causing genes and 100 samples from normal human adults as controls. The data obtained showed that on average, 99.14% of 3,382 exons with more than 30-fold coverage were successfully detected using Targeted DNA-HiSeq technology, and we found six known variants in four disease-causing genes and two novel mutations in two other disease-causing genes (the STS gene for XLI and the FBN1 gene for MFS) as well as one exon deletion mutation in the DMD gene. These results were confirmed in their entirety using either the Sanger sequencing method or real-time PCR. CONCLUSIONS/SIGNIFICANCE: Targeted DNA-HiSeq combines next-generation sequencing with the capture of sequences from a relevant subset of high-interest genes. This method was tested by capturing sequences from a DNA library through hybridization to oligonucleotide probes specific for genetic disorder-related genes and was found to show high selectivity, improve the detection of mutations, enabling the discovery of novel variants, and provide additional indel data. Thus, targeted DNA-HiSeq can be used to analyze the gene variant profiles of monogenic diseases with high sensitivity, fidelity, throughput and speed.