Molecular Alterations in Dog Pheochromocytomas and Paragangliomas.

8658860258318000Recently, genetic alterations in the genes encoding succinate dehydrogenase subunit B and D (SDHB and SDHD) were identified in pet dogs that presented with spontaneously arising pheochromocytomas (PCC) and paragangliomas (PGL; together PPGL), suggesting dogs might be an interesting comparative model for the study of human PPGL. To study whether canine PPGL resembled human PPGL, we investigated a series of 50 canine PPGLs by immunohistochemistry to determine the expression of synaptophysin (SYP), tyrosine hydroxylase (TH) and succinate dehydrogenase subunit A (SDHA) and B (SDHB). In parallel, 25 canine PPGLs were screened for mutations in SDHB and SDHD by Sanger sequencing. To detect large chromosomal alterations, single nucleotide polymorphism (SNP) arrays were performed for 11 PPGLs, including cases for which fresh frozen tissue was available. The immunohistochemical markers stained positive in the majority of canine PPGLs. Genetic screening of the canine tumors revealed the previously described variants in four cases; SDHB p.Arg38Gln (n = 1) and SDHD p.Lys122Arg (n = 3). Furthermore, the SNP arrays revealed large chromosomal alterations of which the loss of chromosome 5, partly homologous to human chromosome 1p and chromosome 11, was the most frequent finding (100% of the six cases with chromosomal alterations). In conclusion, canine and human PPGLs show similar genomic alterations, suggestive of common interspecies PPGL-related pathways.

SNPitty: An Intuitive Web Application for Interactive B-Allele Frequency and Copy Number Visualization of Next-Generation Sequencing Data.

Exploration and visualization of next-generation sequencing data are crucial for clinical diagnostics. Software allowing simultaneous visualization of multiple regions of interest coupled with dynamic heuristic filtering of genetic aberrations is, however, lacking. Therefore, the authors developed the web application SNPitty that allows interactive visualization and interrogation of variant call format files by using B-allele frequencies of single-nucleotide polymorphisms and single-nucleotide variants, coverage metrics, and copy numbers analysis results. SNPitty displays variant alleles and allelic imbalances with a focus on loss of heterozygosity and copy number variation using genome-wide heterozygous markers and somatic mutations. In addition, SNPitty is capable of generating predefined reports that summarize and highlight disease-specific targets of interest. SNPitty was validated for diagnostic interpretation of somatic events by showcasing a serial dilution series of glioma tissue. Additionally, SNPitty is demonstrated in four cancer-related scenarios encountered in daily clinical practice and on whole-exome sequencing data of peripheral blood from a Down syndrome patient. SNPitty allows detection of loss of heterozygosity, chromosomal and gene amplifications, homozygous or heterozygous deletions, somatic mutations, or any combination thereof in regions or genes of interest. Furthermore, SNPitty can be used to distinguish molecular relationships between multiple tumors from a single patient. On the basis of these data, the authors demonstrate that SNPitty is robust and user friendly in a wide range of diagnostic scenarios.

Somatic Tumor Mutations Detected by Targeted Next Generation Sequencing in Minute Amounts of Serum-Derived Cell-Free DNA.

The use of blood-circulating cell-free DNA (cfDNA) as 'liquid-biopsy' is explored worldwide, with hopes for its potential in providing prognostic or predictive information in cancer treatment. In exploring cfDNA, valuable repositories are biobanks containing material collected over time, however these retrospective cohorts have restrictive resources. In this study, we aimed to detect tumor-specific mutations in only minute amounts of serum-derived cfDNA by using a targeted next generation sequencing (NGS) approach. In a retrospective cohort of ten metastatic breast cancer patients, we profiled DNA from primary tumor tissue (frozen), tumor-adjacent normal tissue (formalin-fixed paraffin embedded), and three consecutive serum samples (frozen). Our presented workflow includes comparisons with matched normal DNA or in silico reference DNA to discriminate germline from somatic variants, validation of variants through the detection in at least two DNA samples of an individual, and the use of public databases on variants. By our workflow, we were able to detect a total of four variants traceable as circulating tumor DNA (ctDNA) in the sera of three of the ten patients.

Diagnostic Detection of Allelic Losses and Imbalances by Next-Generation Sequencing: 1p/19q Co-Deletion Analysis of Gliomas.

Cancer cells are genomically unstable and accumulate tumor type-specific molecular aberrations, which may represent hallmarks for predicting prognosis and targets for therapy. Co-deletion of chromosomes 1p and 19q marks gliomas with an oligodendroglioma component and predicts a better prognosis and response to chemotherapy. In the current study, we present a novel method to detect chromosome 1p/19q co-deletion or loss of heterozygosity (LOH) in a diagnostic setting, based on single-nucleotide polymorphism (SNP) analysis and next-generation sequencing (NGS). We selected highly polymorphic SNPs distributed evenly over both chromosome arms. To experimentally determine the sensitivity and specificity of targeted SNP analysis, we used DNAs extracted from 49 routine formalin-fixed, paraffin-embedded glioma tissues and compared the outcome with diagnostic microsatellite-based LOH analysis and calculated estimates. We show that targeted SNP analysis by NGS allows reliable detection of 1p and/or 19q deletion in a background of 70% of normal cells according to calculated outcomes, is more sensitive than microsatellite-based LOH analysis, and requires much less DNA. This specific and sensitive SNP assay is broadly applicable for simultaneous allelic imbalance analysis of multiple genomic regions and can be incorporated easily into NGS mutation analyses. The combined mutation and chromosomal imbalance analysis in a single NGS assay is suited perfectly for routine glioma diagnostics and other diagnostic molecular pathology applications.

Complex MAX Rearrangement in a Family With Malignant Pheochromocytoma, Renal Oncocytoma, and Erythrocytosis.

CONTEXT: Familial pheochromocytoma (PCC) has been associated with germline mutations in 16 genes. Here we investigated three siblings presenting with bilateral pheochromocytomas. In addition, the index patient also exhibited renal oncocytoma and erythrocytosis, whereas the second sibling presented with a lymph node metastasis. DESIGN: First, single-nucleotide polymorphism array and exome sequencing were performed on germline and PCC-derived DNA to identify genomic alterations in the index patient. Second, alterations were confirmed and validated by Sanger sequencing, analyzed by (multiplexed) PCR to determine the loss of the wild-type allele, and investigated by immunohistochemistry in the tumors of the three siblings. RESULTS: The index patient's germline DNA revealed a large complex genomic alteration encompassing the intragenic and promoter regions of Myc-associated factor X (MAX) and alpha-(1,6)-fucosyltransferase (FUT8). In all three siblings the MAX alteration was confirmed, and the loss of the wild-type MAX and FUT8 alleles was demonstrated in all tumors. Uniparental disomy of chromosome 14q, previously demonstrated as a hallmark for MAX-related PCC, was shown in the index patient's PCC by single-nucleotide polymorphism array. Loss of MAX and FUT8 protein expression was demonstrated by immunohistochemistry in the tumors from the three siblings. CONCLUSIONS: Our results indicate that large genomic deletions of MAX should be considered in familial and bilateral PCC with prior negative testing for gene mutations. In addition, our results confirm that MAX is a tumor suppressor gene for renal oncocytomas.