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Purpose With prospective clinical sequencing of tumors emerging as a mainstay in cancer care, an urgent need exists for a clinical support tool that distills the clinical implications associated with specific mutation events into a standardized and easily interpretable format. To this end, we developed OncoKB, an expert-guided precision oncology knowledge base. Methods OncoKB annotates the biologic and oncogenic effects and prognostic and predictive significance of somatic molecular alterations. Potential treatment implications are stratified by the level of evidence that a specific molecular alteration is predictive of drug response on the basis of US Food and Drug Administration labeling, National Comprehensive Cancer Network guidelines, disease-focused expert group recommendations, and scientific literature. Results To date, > 3,000 unique mutations, fusions, and copy number alterations in 418 cancer-associated genes have been annotated. To test the utility of OncoKB, we annotated all genomic events in 5,983 primary tumor samples in 19 cancer types. Forty-one percent of samples harbored at least one potentially actionable alteration, of which 7.5% were predictive of clinical benefit from a standard treatment. OncoKB annotations are available through a public Web resource ( http://oncokb.org ) and are incorporated into the cBioPortal for Cancer Genomics to facilitate the interpretation of genomic alterations by physicians and researchers. Conclusion OncoKB, a comprehensive and curated precision oncology knowledge base, offers oncologists detailed, evidence-based information about individual somatic mutations and structural alterations present in patient tumors with the goal of supporting optimal treatment decisions.

There is substantial epidemiological evidence that low plasma concentrations of 25-hydroxyvitamin D (25(OH)D) are associated with increased risk of developing hypertension,1,2 although not all studies agree.3 Furthermore, analysis of data from the 2001–2004 National Health and Nutrition Examination Survey with linked mortality data through 2006 indicated that concentrations of 25(OH)D were inversely associated with all-cause and cardiovascular disease (CVD) mortality in the 2,609 participants with hypertension.4 There is also a coherent rationale for vitamin D deficiency to be associated with hypertension because it has been well documented that low vitamin D levels upregulate the renin-angiotensin-aldosterone system, increase inflammation, and cause endothelial dysfunction.5–7 However, thus far the results of interventional studies suggest that treatment with vitamin D neither substantially lowers blood pressure (BP) nor uniformly prevents CVD.8–10 The extensive literature is summarized in recent reviews.11,12 One possible explanation for this somewhat paradoxical situation is that considerable heterogeneity in CVD risk exists in patients with hypertension.13–15 More specifically, approximately 50% of patients with hypertension, treated or untreated, are insulin resistant and have the CVD risk factors usually associated with this abnormality.13 To the best of our knowledge, there is no available information regarding the relationship between 25(OH)D concentrations, specific measures of insulin action, and CVD risk factors in patients with hypertension. This study examines the relationships among these variables with the goal of providing new and clinically relevant information concerning the impact of insulin resistance and 25(OH)D concentrations on CVD risk in patients with hypertension.

e14746 Background: Next Generation Sequencing based assays are designed to detect genomic aberrations in a limited number of target regions. However, there is a need for accurate measurement of tumor mutational burden (TMB) as low as 4 to as high as 50. As TMB assessment is added to various targeted panels, consistent results between panels are required to advance the broad use of this biomarker. Properly designed reference materials aid measurement standardization and are required to demonstrate assay concordance. We developed reference materials that vary in TMB score, tumor content 5-50% and are prepared in FFPE format. Methods: Seven lung and two breast tumor cell lines as well as matched “normal” lymphoblastoid cell lines were expanded in cell culture. Genomic DNA (gDNA) from each cell line was extracted. Tumor/normal mixes were made by mixing DNA and by embedding cells in FFPE blocks. Whole exome sequencing (WES) results were obtained using Agilent SureSelectXT for library construction and an Illumina Novaseq for sequencing. The Friends of Cancer Research TMB consensus method for analyzing WES data was used to filter variants and calculate TMB scores. Results: The cell lines were grown at large scale to produce extractable gDNA. 100% gDNA tumor, 30% gDNA tumor mixes and 30% FFPE cell line mixes were prepared. Preliminary results show that a clinically-relevant range of TMB values ranging from 4 to 35 mutations per million bases. The several thousand mutations that were observed across the lines were found in a variety of genes, which may explain why TMB in targeted panels is influenced by the specific target regions. Also, the initial results show that 30% cell line mixes showed similar TMB results to 100% gDNA. Conclusions: Our approach with wide ranging TMB values as tumor normal mixes is flexible and can be used to test different tumors and assays. For this study we established WES as the ground truth measurement for comparison to other assay formats and obtained comparison data from other panels. This approach also allows laboratories to test additional variables including formalin fixation, sample extraction, gene panel size, target regions, sequencing depth, filtering and limits of detection.

Several targeted therapies have been approved for treatment of solid tumors. Identification of gene mutations that indicate response to these therapies is rapidly progressing. A 34-gene next-generation sequencing (NGS) panel, developed and validated by us, was evaluated to detect additional mutations in community-based cancer specimens initially sent to our reference laboratory for routine molecular testing. Consecutive de-identified clinical specimens (n = 121) from melanoma cases (n = 31), lung cancer cases (n = 27), colorectal cancer cases (n = 33), and breast cancer cases (n = 30) were profiled by NGS, and the results were compared with routine molecular testing. Upon initial mutation testing, 20 % (24/121) were positive. NGS detected ≥1 additional mutation not identified by routine testing in 74 % of specimens (90/121). Of the specimens with additional mutations, 16 harbored mutations in National Comprehensive Cancer Network guideline genes. These various additional mutations were in gene regions not routinely covered, in genes not routinely tested, and/or present at low allele frequencies. Moreover, NGS yielded no false negatives. Overall, NGS detected mutations in 59 % of the genes (20/34) included in the panel, 75 % of which (15/20) were detected in multiple tumor types. Mutations in TP53 were found in 51 % of tumors tested (62/121). Mutations in at least one other (non-TP53) gene present in the panel were detected in 64 % of cases (77/121). This assay provides improved breadth and sensitivity for profiling clinically relevant genes in these prevalent solid tumor types.

BackgroundWell-differentiated thyroid cancer (WDTC) incidence in pediatrics is rising, most being papillary thyroid carcinoma (PTC). The objective of the study was to assess the prevalence of different mutations in pediatric WDTC and correlate the genotype with the clinical phenotype.MethodsThis is a single-center retrospective study. Thyroid tissue blocks from 42 consecutive pediatric WDTC patients who underwent thyroidectomy between 2001 and 2013 were analyzed at Quest Diagnostics for BRAF(V600E), RAS mutations (N,K,H), and RET/PTC and PAX8/PPARγ rearrangements, using validated molecular methods. Thyroid carcinomas included PTC, follicular thyroid carcinoma (FTC), and follicular variant of PTC (FVPTC).ResultsThirty-nine samples (29 females) were genotyped. The mean age at diagnosis was 14.7 years (range 7.9-18.4 years), and most were Hispanic (56.4%) or Caucasian (35.9%). The mean follow-up period was 2.9 years. Mutations were noted in 21/39 (53.8%), with both BRAF(V600E) (n = 9), and RET/PTC (n = 6) detected only in PTC. Mutations were detected in 2/5 FTC (PAX8/PPARγ and NRAS) and 3/6 FVPTC cases (PAX8/PPARγ). Of 28 PTC patients, 57.1% had mutations: 32.1% with BRAF(V600E), 21.4% with RET/PTC, and 3.6% with NRAS. Of patients with BRAF(V600E), 77.8% were Hispanic and 88.9% were >15 years, while all RET/PTC-positive patients were ≤15 years (p = 0.003). Tumor size, lymph node involvement, and distant metastasis at diagnosis (or soon after (131)I ablation) did not vary significantly based on the mutation.ConclusionsBRAF(V600E) was the most common mutation, especially in older and Hispanic adolescents. A larger, ethnically diverse pediatric cohort followed long term will enable the genotypic variability, clinical presentation, and response to therapy to be better assessed.

Fragile X syndrome is caused by expansion and methylation of a CGG tract in the 5' untranslated region of the FMR1 gene. The estimated frequency of expanded alleles (≥55 repeats) in the United States is 1:257-1:382, but these estimates were not calculated from unbiased populations. We sought to determine the frequency of fragile X syndrome premutation (55-200 repeats) and full mutation (200 repeats) alleles in nonselected, unbiased populations undergoing routine carrier screening for other diseases.A previously validated laboratory-developed test using triplet-primed polymerase chain reaction was used to detect premutation and full mutation alleles in an unselected series of 11,759 consecutive cystic fibrosis carrier screening samples and 2011 samples submitted for screening for genetic diseases prevalent among the Ashkenazi Jewish population.Premutations were identified in 48 cystic fibrosis screening samples (1:245) and 15 samples (1:134) from the Ashkenazi Jewish population. Adjusted for the ethnic mix of the US population and self-reported ethnicity in our screening population, the estimated female premutation carrier frequency in the United States was 1:178. The calculated frequency of full mutation alleles was 1:3335 overall, and the calculated premutation frequency in males was 1:400. Based on frequency of larger, ≥70 repeat alleles, and reported penetrance, the calculated fragile X-associated tremor and ataxia syndrome, and fragile X-associated primary ovarian insufficiency frequencies is 1:4848 and 1:3560, respectively.Our calculated fragile X syndrome carrier rate is higher than previous estimates for the US population and warrants further consideration of population-based carrier screening.

Insulin resistance has been associated with higher plasma amino acid (AA) concentrations, but majority of studies have used indirect measures of insulin resistance. Our main objective was to define the relationship between plasma AA concentrations and a direct measure of insulin resistance in women and men. This was a cross-sectional study of 182 nondiabetic individuals (118 women and 64 men) who had measurement of 24 AAs and steady-state plasma glucose (SSPG) concentration (insulin resistance) using the insulin suppression test. Fourteen out of 24 AA concentrations were significantly (P

Molecular profiling of tumor mutations has expedited molecular targeted therapy for cancer patients. Additionally, tumor mutation load and DNA microsatellite instability (MSI) status can help predict patient’s response to immunotherapy. We analytically validated a gene test targeting clinically actionable cancer mutations of all 4 major types: single nucleotide variations (SNVs); insertion/deletions (INDELs); whole gene copy number variations (CNVs); and structural rearrangements (translocations) as well as the MSI status. This test interrogates all coding exons from 49 core cancer genes, introns for a subset of genes selected for detection of prevalent gene rearrangements, and the TERT (telomerase reverse transcriptase) promoter region. MSI status is determined from a set of 5 intronic mono-nucleotide repeats collectively associated with microsatellite instability. Targeted DNA regions are captured by in-solution hybridization with complementary biotinylated RNA baits and sequenced on the Illumina NextSeq®500 platform. Paired formalin-fixed, paraffin-embedded (FFPE) tumor samples and whole blood samples are analyzed simultaneously for the detection of SNV, INDEL, CNV, translocation and MSI status. FFPE samples can also be analyzed alone if the whole blood sample is not available, eliminating the reporting of MSI status. A minimum of 50 ng FFPE DNA and 100 ng of whole blood DNA are required for this test. A total of 123 FFPE, 2 FFPE FNA samples, 19 paired FFPE and whole blood paired samples covering lung cancer, colorectal cancer, melanoma and breast cancer were included in this validation study. Analytical validation of assay performance demonstrated that, on average, 700-fold read depth was achieved across all targeted regions with >95% of these regions covered by a minimum of 300 unique reads. Analytical sensitivity was ≥5% mutation frequency for SNV and INDEL and ≥20% for translocation and CNV. Thirty-eight unique variants were confirmed between this test and orthogonal methodologies: 22 SNVs, 6 INDELs, 5 translocations, and 5 CNV. Fifty-eight out of 59 (98% concordance) paired FFPE/blood samples achieved the same MSI status result with this targeted sequencing approach compared to the reference National Comprehensive Cancer Network (NCCN) Bethesda PCR test. MSI-positive samples, on average, were determined to have 5-fold higher mutation count compared to MSI-negative samples, consistent with the previously reported higher mutation burden. In conclusion, we have developed and analytically validated a core cancer gene test employing NGS technology with demonstrated high analytical sensitivity and specificity. Coupled with clinical interpretation, this test will facilitate clinical decision-making for molecular targeted therapy and immunotherapy. Citation Format: Lin Ma, Michael Hua, Steven Rivera, Anna Gerasimova, Quoclinh Nguyen, Sirisha Sunkara, Robert Lagier, Alla Smolgovsky, David Wolfson, Jared F. Taylor, Frederick Racke, Charles Strom, Andrew Grupe, Joseph Catanese, Feras Hantash. Validation of a clinically actionable cancer core gene test for solid tumors facilitating targeted molecular therapy and immunotherapy [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 5356. doi:10.1158/1538-7445.AM2017-5356

We thank Dr Giral and colleagues for their comments on our recent study of lipoprotein(a) [Lp(a)].1 The quantitative assessment of Lp(a) has historically proven challenging in part because of the (1) highly heterogeneous number of Kringle-IV type-2 repeats (and thus molecular weight), and (2) lack of standardized methodology and calibration across published studies. A 2002 National Heart, Lung, and Blood Institute consensus workshop that recommended use of isoform size-independent assays that express Lp(a) concentrations in terms of particle number (nmol/L) rather than total mass (mg/dL) and provided control samples for calibration served as a major advance in the field.2 In accordance with these standards, our study reported Lp(a) concentrations in …

Background— Lipoprotein(a) [Lp(a)] is a low-density lipoprotein–like particle largely independent of known risk factors and predictive of cardiovascular disease. Statins may offset the risk associated with elevated Lp(a), but it is unknown whether Lp(a) is a determinant of residual risk in the setting of low low-density lipoprotein cholesterol after potent statin therapy. Methods and Results— Baseline and on-treatment Lp(a) concentrations were assessed in 9612 multiethnic participants in the JUPITER trial (Justification for the Use of Statins in Prevention: An Intervention Trial Evaluating Rosuvastatin) before and after random allocation to rosuvastatin 20 mg/d or placebo, with outcomes reported for whites (n=7746). Lp(a) concentrations (median [25th–75th percentile], in nmol/L) were highest in blacks (60 [34–100]), then Asians (38 [18–60]), Hispanics (24 [11–46]), and whites (23 [10–50]; P P P =0.02). Similarly, on-statin Lp(a) concentrations were associated with residual risk of cardiovascular disease (adjusted hazard ratio, 1.27; 95% confidence interval, 1.01–1.59; P =0.04), which was independent of low-density lipoprotein cholesterol and other factors. Rosuvastatin significantly reduced incident cardiovascular disease among participants with baseline Lp(a) greater than or equal to the median (hazard ratio, 0.62; 95% confidence interval, 0.43–0.90) and Lp(a) less than the median (hazard ratio, 0.46; 95% confidence interval, 0.30–0.72), with no evidence of interaction. Similar results were obtained when analyses included nonwhites. Conclusion— Among white JUPITER participants treated with potent statin therapy, Lp(a) was a significant determinant of residual risk. The magnitude of relative risk reduction with rosuvastatin was similar among participants with high or low Lp(a). Clinical Trials Registration— URL: http://www.clinicaltrials.gov . Unique identifier: NCT00239681.

11583Background: Sequencing of tumor DNA is becoming part of routine clinical care, with the goal of matching patients to approved treatments or clinical trials based on specific mutations. However...

e22132 Background: Several targeted therapies have been approved for treatment of solid tumors. Identification of gene mutations associated with response to these targeted therapies is rapidly prog...

Background: The recommendation for population- based cystic fibrosis (CF) carrier screening by the American College of Medical Genetics for the 25 most prevalent mutations and 6 polymorphisms in the CF transmembrane regulatory gene has greatly increased clinical laboratory test volumes. We describe the development and technical validation of a DNA chip in a 96-well format to allow for high-throughput genotype analysis. Methods: The CF Portrait™ chip contains an 8 × 8 array of capture probes and controls to detect all requisite alleles. Single-tube multiplex PCR with 15 biotin-labeled primer pairs was used to amplify sequences containing all single-nucleotide polymorphisms to be interrogated. Detection of a thin-film signal created by hybridization of multiplex PCR-amplified DNA to complementary capture probes was performed with an automated image analysis instrument, NucleoSight™. Allele classification, data formatting, and uploading to a laboratory information system were fully automated. Results: The described platform correctly classified all mutations and polymorphisms and can screen ∼1300 patient samples in a 10-h shift. Final validation was performed by two separate 1000-sample comparisons with Roche CF Gold line probe strips and the Applera CF OLA, Ver 3.0. The CF Portrait Biochip made no errors during this validation, whereas the Applera assay made seven miscalls of the IVS-8 5T/7T/9T polymorphism Conclusions: The CF Portrait platform is an automated, high-throughput, DNA chip-based assay capable of accurately classifying all CF mutations in the recommended screening panel, including the IVS-8 5T/7T/9T polymorphism.

BACKGROUND: ALK, ROS1, and RET translocations are frequently detected in NSCLC patients. Crizotinib, a tyrosine kinase inhibitor (TKI), was approved by the FDA in 2011 to treat NSCLC in patients harboring ALK translocations as detected by an FDA-approved assay. However, the FDA-approved ALK FISH assay is technically challenging, with failures due to pre-analytic variables. Another approach, intragenic differential expression (IDE), detects translocations by comparing expression levels of the 5′ end with the 3′ end of target gene transcripts. In this study we developed and evaluated a rapid IDE assay to screen for ALK, ROS1, and RET translocations, independent of the fusion partner. METHODS: A total of 419 samples (408 randomly-selected NSCLC clinical samples, ALK positive and ROS1 positive cell lines (2 each), and 7 previously-tested RET-positive clinical samples) were used to develop and evaluate performance characteristics of the IDE assays. To determine IDE scores, levels of ALK, ROS1, and RET expression were first determined by quantitative RT-PCR measurement of the 5′- and 3′- ends of the respective transcripts. The differences in expression levels were calculated as ΔCt (Ct5′ - Ct3′). High ΔCt values indicate presumptive presence of gene translocations. 212/408 NSCLC samples were analyzed by ALK FISH and EML4-ALK RT-PCR, and 196/408 samples were analyzed by EML4-ALK RT-PCR. RESULTS: Thirty-one of the 408 (7.6%) clinical samples tested positive for ALK rearrangements by IDE. Among them, 20 were confirmed by FISH and/or EML4-ALK (true positive, 64.5%), while 11 were negative by FISH and/or EML4-ALK (false positive, 35.5%). One of 10 ALK FISH positive samples tested negative by both ALK IDE and EML4-ALK RT-PCR analysis (false negative), while one of 202 FISH-negative sample tested positive by both EML4-ALK and ALK IDE. ALK IDE exhibited 94.5% (189/200) concordance with ALK FISH and 96.0% (356/371) concordance with the EML4-ALK assay. For ROS1, both ROS1-positive cell lines and 4/408 (1.0%) NSCLC samples tested positive for ROS1 by IDE. Among the 4 IDE-positive NSCLC samples, 1 was confirmed by ROS1 FISH. For RET, all 7 known positives and 10/408 (2.5%) NSCLC samples tested positive by IDE. Three of six RET IDE positive NSCLC samples were confirmed by RET FISH. Overall, ALK, ROS1, and RET translocations were mutually exclusive in NSCLC patients. The lung IDE assay had a failure rate of 3.7%. CONCLUSION: These findings demonstrate the feasibility of using IDE to detect ALK, ROS1, and RET gene translocations. These assays may have potential as a screening tool to select patients for further confirmation by FISH for TKI-targeted therapy. The IDE concept can be applied to a wide range of somatic translocations. Citation Format: Shih-Min Cheng, Cindy Barlan, Feras Hantash, Heather R. Sanders, Patricia H. Chan, Vladimira Sulcova, Marc A. Sanidad, Kevin Qu, Joann C. Kelly, Fatih Z. Boyar, Anthony D. Sferruzza, Frederic M. Waldman. Detection of ALK, ROS1, and RET translocations in non-small cell lung cancer (NSCLC) patients by intragenic differential expression analysis. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 4675. doi:10.1158/1538-7445.AM2014-4675