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BACKGROUND: A clinical assay was implemented to perform next-generation sequencing (NGS) of genes commonly mutated in multiple cancer types. This report describes the feasibility and diagnostic yield of this assay in 381 consecutive patients with non-small cell lung cancer (NSCLC). METHODS: Clinical targeted sequencing of 23 genes was performed with DNA from formalin-fixed, paraffin-embedded (FFPE) tumor tissue. The assay used Agilent SureSelect hybrid capture followed by Illumina HiSeq 2000, MiSeq, or HiSeq 2500 sequencing in a College of American Pathologists-accredited, Clinical Laboratory Improvement Amendments-certified laboratory. Single-nucleotide variants and insertion/deletion events were reported. This assay was performed before methods were developed to detect rearrangements by NGS. RESULTS: Two hundred nine of all requisitioned samples (55%) were successfully sequenced. The most common reason for not performing the sequencing was an insufficient quantity of tissue available in the blocks (29%). Excisional, endoscopic, and core biopsy specimens were sufficient for testing in 95%, 66%, and 40% of the cases, respectively. The median turnaround time (TAT) in the pathology laboratory was 21 days, and there was a trend of an improved TAT with more rapid sequencing platforms. Sequencing yielded a mean coverage of 13183. Potentially actionable mutations (ie, predictive or prognostic) were identified in 46% of 209 samples and were most commonly found in KRAS (28%), epidermal growth factor receptor (14%), phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit alpha (4%), phosphatase and tensin homolog (1%), and BRAF (1%). Five percent of the samples had multiple actionable mutations. A targeted therapy was instituted on the basis of NGS in 11% of the sequenced patients or in 6% of all patients. CONCLUSIONS: NGS-based diagnostics are feasible in NSCLC and provide clinically relevant information from readily available FFPE tissue. The sample type is associated with the probability of successful testing. Cancer 2015;121:631-9.

Currently, oncology testing includes molecular studies and cytogenetic analysis to detect genetic aberrations of clinical significance. Next-generation sequencing (NGS) allows rapid analysis of multiple genes for clinically actionable somatic variants. The WUCaMP assay uses targeted capture for NGS analysis of 25 cancerassociated genes to detect mutations at actionable loci. We present clinical validation of the assay and a detailed framework for design and validation of similar clinical assays. Deep sequencing of 78 tumor specimens (!1000Â average unique coverage across the capture region) achieved high sensitivity for detecting somatic variants at low allele fraction (AF). Validation revealed sensitivities and specificities of 100% for detection of single-nucleotide variants (SNVs) within coding regions, compared with SNP array sequence data (95% CI Z 83.4e100.0 for sensitivity and 94.2e100.0 for specificity) or whole-genome sequencing (95% CI Z 89.1e100.0 for sensitivity and 99.9e100.0 for specificity) of HapMap samples. Sensitivity for detecting variants at an observed 10% AF was 100% (95% CI Z 93.2e100.0) in HapMap mixes. Analysis of 15 masked specimens harboring clinically reported variants yielded concordant calls for 13/13 variants at AF of !15%. The WUCaMP assay is a robust and sensitive method to detect somatic variants of clinical significance in molecular oncology laboratories, with reduced time and cost of genetic analysis allowing for strategic patient management. (J Mol Diagn 2014, 16: 89e105; http://dx.doi.org/10.1016/j.jmoldx.2013 Traditional approaches to the genetic characterization of clinical oncology specimens include cytogenetic analysis, fluorescence in situ hybridization (FISH), and molecular studies of single genes. These methodologies are complementary to each other and generate information of diagnostic and prognostic relevance. However, as new insight is gained into the complexities of cancer at the molecular level, the need emerges to obtain a more detailed cancer genetic profile for improved patient management. As illustrated by recent studies, identifying DNA mutations in cancer may aid in understanding clonal evolution, 1 risk stratification, 2 and therapeutic strategies. 3,4 With the advent of next-generation sequencing (NGS), a more complete biological characterization of a tumor can be attained at the molecular level. 5

The American College of Medical Genetics and Genomics (ACMG) recommends that clinical sequencing laboratories return secondary findings in 56 genes associated with medically actionable conditions. Our goal was to apply a systematic, stringent approach consistent with clinical standards to estimate the prevalence of pathogenic variants associated with such conditions using a diverse sequencing reference sample. Candidate variants in the 56 ACMG genes were selected from Phase 1 of the 1000 Genomes dataset, which contains sequencing information on 1,092 unrelated individuals from across the world. These variants were filtered using the Human Gene Mutation Database (HGMD) Professional version and defined parameters, appraised through literature review, and examined by a clinical laboratory specialist and expert physician. Over 70,000 genetic variants were extracted from the 56 genes, and filtering identified 237 variants annotated as disease causing by HGMD Professional. Literature review and expert evaluation determined that 7 of these variants were pathogenic or likely pathogenic. Furthermore, 5 additional truncating variants not listed as disease causing in HGMD Professional were identified as likely pathogenic. These 12 secondary findings are associated with diseases that could inform medical follow-up, including cancer predisposition syndromes, cardiac conditions, and familial hypercholesterolemia. The majority of the identified medically actionable findings were in individuals from the European (5/379) and Americas (4/181) ancestry groups, with fewer findings in Asian (2/286) and African (1/246) ancestry groups. Our results suggest that medically relevant secondary findings can be identified in approximately 1% (12/1092) of individuals in a diverse reference sample. As clinical sequencing laboratories continue to implement the ACMG recommendations, our results highlight that at least a small number of potentially important secondary findings can be selected for return. Our results also confirm that understudied populations will not reap proportionate benefits of genomic medicine, highlighting the need for continued research efforts on genetic diseases in these populations.

Vascular anomalies are variably associated with overgrowth, skeletal anomalies, and abnormalities of the brain, leptomeninges, and eye. We assembled a 16-institution network to determine the range of genetic variants associated with a spectrum of vascular anomalies with overgrowth, ranging from mild to severe. Because of the overlap between cancer-associated variants and previously described somatic variants in vascular overgrowth syndromes, we employed tumor genetic profiling via high-depth next-generation sequencing using a panel to assay affected tissue from a diverse cohort of subjects with vascular anomalies with overgrowth. Seventy-five percent (43/57) harbored pathogenic or likely pathogenic variants in 10 genes. We identified two genes (mTOR, PIK3R1) and several variants previously described in the setting of cancer but that, to our knowledge, have not been described in vascular malformations. All were identified at low variant allele frequency consistent with somatic mosaic etiology. By leveraging somatic variant detection technology typically applied to cancer in a cohort inclusive of broad phenotypic severity, we demonstrated that most vascular anomalies with overgrowth harbor postzygotic gain-of-function mutations in oncogenes. Furthermore, continued interrogation of oncogenes in benign developmental disorders could provide insight into fundamental mechanisms regulating cell growth.

The identification of recurrent gene rearrangements in the clinical laboratory is the cornerstone for risk stratification and treatment decisions in many malignant tumors. Studies have reported that targeted next-generation sequencing assays have the potential to identify such rearrangements; however, their utility in the clinical laboratory is unknown. We examine the sensitivity and specificity of ALK and KMT2A (MLL) rearrangement detection by next-generation sequencing in the clinical laboratory. We analyzed a series of seven ALK rearranged cancers, six KMT2A rearranged leukemias, and 77 ALK/KMT2A rearrangement-negative cancers, previously tested by fluorescence in situ hybridization (FISH). Rearrangement detection was tested using publicly available software tools, including Breakdancer, ClusterFAST, CREST, and Hydra. Using Breakdancer and ClusterFAST, we detected ALK rearrangements in seven of seven FISH-positive cases and KMT2A rearrangements in six of six FISH-positive cases. Among the 77 ALK/KMT2A FISH-negative cases, no false-positive identifications were made by Breakdancer or ClusterFAST. Further, we identified one ALK rearranged case with a noncanonical intron 16 breakpoint, which is likely to affect its response to targeted inhibitors. We report that clinically relevant chromosomal rearrangements can be detected from targeted gene panel-based next-generation sequencing with sensitivity and specificity equivalent to that of FISH while providing finer-scale information and increased efficiency for molecular oncology testing.

In lung adenocarcinoma, canonical EML4-ALK inversion results in a fusion protein with a constitutively active ALK kinase domain. Evidence of ALK rearrangement occurs in a minority (2-7%) of lung adenocarcinoma, and only ~60% of these patients will respond to targeted ALK inhibition by drugs such as crizotinib and ceritinib. Clinically, targeted anti-ALK therapy is often initiated based on evidence of an ALK genomic rearrangement detected by fluorescence in situ hybridization (FISH) of interphase cells in formalin-fixed, paraffin-embedded tissue sections. At the genomic level, however, ALK rearrangements are heterogeneous, with multiple potential breakpoints in EML4, and alternate fusion partners. Using next-generation sequencing of DNA and RNA together with ALK immunohistochemistry, we comprehensively characterized genomic breakpoints in 33 FISH-positive lung adenocarcinomas. Of these 33 cases, 29 (88%) had detectable DNA level ALK rearrangements involving EML4, KIF5B, or non-canonical partners including ASXL2, ATP6V1B1, PRKAR1A, and SPDYA. A subset of 12 cases had material available for RNA-Seq. Of these, eight of eight (100%) cases with DNA rearrangements showed ALK fusion transcripts from RNA-Seq; three of four cases (75%) without detectable DNA rearrangements were similarly negative by RNA-Seq, and one case was positive by RNA-Seq but negative by DNA next-generation sequencing. By immunohistochemistry, 17 of 19 (89%) tested cases were clearly positive for ALK protein expression; the remaining cases had no detectable DNA level rearrangement or had a non-canonical rearrangement not predicted to form a fusion protein. Survival analysis of patients treated with targeted ALK inhibitors demonstrates a significant difference in mean survival between patients with next-generation sequencing confirmed EML4-ALK rearrangements, and those without (20.6 months vs 5.4 months, P<0.01). Together, these data demonstrate abundant genomic heterogeneity among ALK-rearranged lung adenocarcinoma, which may account for differences in treatment response with targeted ALK inhibitors.

Next-generation sequencing (NGS) has revolutionized the approach of studying sequence variation, and has been well described in the clinical laboratory setting for the detection of constitutional alterations, as well as somatic tumor-associated variants. It is increasingly recognized that post-zygotic somatic alteration can be associated with congenital phenotypic abnormalities. Variation within the PI3K/AKT/mTOR pathway, including PIK3CA, has been described in somatic overgrowth syndromes and vascular malformations. Detection of PIK3CA somatic alteration is challenging because of low variant allele frequency (VAF) along with the need to assay involved tissue, thus necessitating a highly sensitive methodology. Here we describe the utility of target hybrid capture coupled with NGS for the identification of somatic variation in the PIK3CA-related overgrowth spectrum (PROS) among 14 patients submitted for clinical testing. Assay detection of low allelic fraction variation is coverage dependent with >90% sensitivity at 400× unique read depth for VAF of 10%, and approaching 100% at 1000×. Average read depth among the patient dataset across PIK3CA coding regions was 788.4. The diagnostic yield among this cohort was 71%, including the detection of two PIK3CA alterations novel in the setting of PROS. This report expands the mutational scope and phenotypic attributes of PROS disorders.