Analytic validation of NeXT Dx™, a comprehensive genomic profiling assay.

We describe the analytic validation of NeXT Dx, a comprehensive genomic profiling assay to aid therapy and clinical trial selection for patients diagnosed with solid tumor cancers. Proprietary methods were utilized to perform whole exome and whole transcriptome sequencing for detection of single nucleotide variants (SNVs), insertions/deletions (indels), copy number alterations (CNAs), and gene fusions, and determination of tumor mutation burden and microsatellite instability. Variant calling is enhanced by sequencing a patient-specific normal sample from, for example, a blood specimen. This provides highly accurate somatic variant calls as well as the incidental reporting of pathogenic and likely pathogenic germline alterations. Fusion detection via RNA sequencing provides more extensive and accurate fusion calling compared to DNA-based tests. NeXT Dx features the proprietary Accuracy and Content Enhanced technology, developed to optimize sequencing and provide more uniform coverage across the exome. The exome was validated at a median sequencing depth of >500x. While variants from 401 cancer-associated genes are currently reported from the assay, the exome/transcriptome assay is broadly validated to enable reporting of additional variants as they become clinically relevant. NeXT Dx demonstrated analytic sensitivities as follows: SNVs (99.4%), indels (98.2%), CNAs (98.0%), and fusions (95.8%). The overall analytic specificity was >99.0%.

A variant by any name: quantifying annotation discordance across tools and clinical databases.

BACKGROUND: Clinical genomic testing is dependent on the robust identification and reporting of variant-level information in relation to disease. With the shift to high-throughput sequencing, a major challenge for clinical diagnostics is the cross-identification of variants called on their genomic position to resources that rely on transcript- or protein-based descriptions. METHODS: We evaluated the accuracy of three tools (SnpEff, Variant Effect Predictor, and Variation Reporter) that generate transcript and protein-based variant nomenclature from genomic coordinates according to guidelines by the Human Genome Variation Society (HGVS). Our evaluation was based on transcript-controlled comparisons to a manually curated set of 126 test variants of various types drawn from data sources, each with HGVS-compliant transcript and protein descriptors. We further evaluated the concordance between annotations generated by Snpeff and Variant Effect Predictor and those in major germline and cancer databases: ClinVar and COSMIC, respectively. RESULTS: We find that there is substantial discordance between the annotation tools and databases in the description of insertions and/or deletions. Using our ground truth set of variants, constructed specifically to identify challenging events, accuracy was between 80 and 90% for coding and 50 and 70% for protein changes for 114 to 126 variants. Exact concordance for SNV syntax was over 99.5% between ClinVar and Variant Effect Predictor and SnpEff, but less than 90% for non-SNV variants. For COSMIC, exact concordance for coding and protein SNVs was between 65 and 88% and less than 15% for insertions. Across the tools and datasets, there was a wide range of different but equivalent expressions describing protein variants. CONCLUSIONS: Our results reveal significant inconsistency in variant representation across tools and databases. While some of these syntax differences may be clear to a clinician, they can confound variant matching, an important step in variant classification. These results highlight the urgent need for the adoption and adherence to uniform standards in variant annotation, with consistent reporting on the genomic reference, to enable accurate and efficient data-driven clinical care.

IgA and IgG hypogammaglobulinemia in Waldenström's macroglobulinemia.

BACKGROUND: Hypogammaglobulinemia is common in Waldenström's macroglobulinemia. The etiology of this finding remains unclear, but it has been speculated to be based on tumor-induced suppression of the 'uninvolved' immunoglobulin production DESIGN AND METHODS: We evaluated the incidence of IgA and IgG hypogammaglobulinemia in 207 untreated patients with Waldenström's macroglobulinemia and investigated the associated clinicopathological findings and impact of therapy. We also sequenced eight genes (AICDA, BTK, CD40, CD154, NEMO, TACI, SH2D1A, UNG) implicated in immunoglobulin deficiency in 19 Waldenström's macroglobulinemia patients with IgA and/or IgG hypogammaglobulinemia. RESULTS: At baseline 63.3%, 58.0% and 49.3% of the 207 patients had abnormally low serum levels of IgA, IgG, or both. No association between IgA and IgG hypogammaglobulinemia and disease burden, serum IgM levels, beta(2)-microglobulin, International Prognostic Scoring System score, or incidence of recurrent infections was observed, although the presence of adenopathy and/or splenomegaly was associated with a lower incidence of hypogammaglobulinemia. Lower IgA and IgG levels were associated with disease progression in patients managed with a 'watch and wait' strategy. IgA and/or IgG levels remained abnormally low despite response to treatment, including complete remissions. A missense mutation in the highly conserved catalytic site of UNG was observed in a patient with hypogammaglobulinemia, warranting further study of this pathway in Waldenström's macroglobulinemia. CONCLUSIONS: IgA and IgG hypogammaglobulinemia is common in Waldenström's macroglobulinemia and persists despite therapeutic intervention and response. IgA and IgG hypogammaglobulinemia does not predict the risk of recurrent infections in patients with Waldenström's macroglobulinemia, although lower levels of serum IgA and IgG are associated with disease progression in Waldenström's macroglobulinemia patients being managed with a 'watch and wait' strategy.

Defective B cell responses in the absence of SH2D1A.

More than half of patients with X-linked lympho-proliferative disease, which is caused by a defect in the intracellular adapter protein SH2D1A, suffer from an extreme susceptibility to Epstein-Barr virus. One-third of these patients, however, develop dysgammaglobulenemia without an episode of severe mononucleosis. Here we show that in SH2D1A(-/-) mice, both primary and secondary responses of all Ig subclasses are severely impaired in response to specific antigens. Because germinal centers were absent in SH2D1A(-/-) mice upon primary immunization, and because SH2D1A was detectable in wt germinal center B cells, we examined whether SH2D1A(-/-) B cell functions were impaired. Using the adoptive cotransfer of B lymphocytes from hapten-primed SH2D1A(-/-) mice with CD4(+) T cells from primed wt mice into irradiated wt mice provided evidence that signal transduction events controlled by SH2D1A are essential for B cell activities resulting in antigen specific IgG production. Defects in naive SH2D1A(-/-) B cells became evident upon cotransfer with non-primed wt CD4(+) cells into Rag2(-/-) recipients. Thus, both defective T and B cells exist in the absence of SH2D1A, which may explain the progressive dysgammaglobulinemia in a subset of X-linked lympho-proliferative disease patients without involvement of Epstein-Barr virus.

A spectrum of mutations in SH2D1A that causes X-linked lymphoproliferative disease and other Epstein-Barr virus-associated illnesses.

X-linked lymphoproliferative disease (Duncan's Disease) was first encountered by David T. Purtilo in 1969. The first communication describing the disease was published in 1975. In 1989 the disease locus was mapped to Xq25. Ten years later the gene (SH2D1A, SAP, DSHP), which is absent or mutated in XLP patients was identified. Since that the protein crystal structure of this small, SH2-domain containing protein has been solved, target molecules of the protein have been identified, physiological and pathological protein/protein interactions have been characterized, and the mouse model of the gene mutation has been developed. That said, a complete understanding of the function of the normal SH2D1A protein in immunoregulation and of the altered immune responses in XLP patients is not yet at hand. Therein lies the legacy of Purtilo's discovery for, as with other primary immunodeficiencies, these "experiments of nature" offer a window on the beauty of the immune system. In due course, the manner by which this gene orchestrates an elegant response (akin to a Mozart divertimento) to EBV infection shall be defined.

Identification and characterization of SF2000 and SF2001, two new members of the immune receptor SLAM/CD2 family.

The SLAM family of human genes currently consists of seven related members of the immunoglobulin superfamily, membrane-associated proteins, including CD150 (SLAM), CD244 (2B4), CD84, CD229 ( Ly-9), BLAME, CD48, and 19A. These genes are expressed to varying degrees in subsets of immune cells (T, B, natural killer, and myeloid cells) and may function as ligands or receptors. This set of genes, related to CD2 and CD58 on Chromosome (Chr) 1p98, are found clustered close together in the human genome on Chr 1q22. Four of these family members (CD150, CD244, CD84, CD229) contain conserved tyrosine motifs in their cytoplasmic tails that enable them to bind intracellular signaling molecules SAP and EAT-2. SAP is mutated in human X-linked lymphoproliferative disease (XLP), and studies in XLP patients have shown that improper signaling via molecules that bind SAP contributes to the disease. We have identified two new members of the SLAM family (SF), which we term SF2000 and SF2001, which are expressed in immune cells and map in the SLAM gene cluster. SF2001 does not contain SAP-binding motifs in its short cytoplasmic tail. SF2000, which is co-expressed with SAP in T cells, binds both SAP and EAT-2. The data suggest that signaling through SF2000, together with CD150, CD244, CD84, and CD229, is controlled by SAP and therefore contributes to the pathogenesis of XLP.

A "three-pronged" binding mechanism for the SAP/SH2D1A SH2 domain: structural basis and relevance to the XLP syndrome.

The SH2 domain protein SAP/SH2D1A, encoded by the X-linked lymphoproliferative (XLP) syndrome gene, associates with the hematopoietic cell surface receptor SLAM in a phosphorylation-independent manner. By screening a repertoire of synthetic peptides, the specificity of SAP/SH2D1A has been mapped and a consensus sequence motif for binding identified, T/S-x-x-x-x-V/I, where x represents any amino acid. Remarkably, this motif contains neither a Tyr nor a pTyr residue, a hallmark of conventional SH2 domain-ligand interactions. The structures of the protein, determined by NMR, in complex with two distinct peptides provide direct evidence in support of a "three-pronged" binding mechanism for the SAP/SH2D1A SH2 domain in contrast to the "two-pronged" binding for conventional SH2 domains. Differences in the structures of the two complexes suggest considerable flexibility in the SH2 domain, as further confirmed and characterized by hydrogen exchange studies. The structures also explain binding defects observed in disease-causing SAP/SH2D1A mutants and suggest that phosphorylation-independent interactions mediated by SAP/SH2D1A likely play an important role in the pathogenesis of XLP.