SeqReporter: automating next-generation sequencing result interpretation and reporting workflow in a clinical laboratory.

A wide repertoire of bioinformatics applications exist for next-generation sequencing data analysis; however, certain requirements of the clinical molecular laboratory limit their use: i) comprehensive report generation, ii) compatibility with existing laboratory information systems and computer operating system, iii) knowledgebase development, iv) quality management, and v) data security. SeqReporter is a web-based application developed using ASP.NET framework version 4.0. The client-side was designed using HTML5, CSS3, and Javascript. The server-side processing (VB.NET) relied on interaction with a customized SQL server 2008 R2 database. Overall, 104 cases (1062 variant calls) were analyzed by SeqReporter. Each variant call was classified into one of five report levels: i) known clinical significance, ii) uncertain clinical significance, iii) pending pathologists' review, iv) synonymous and deep intronic, and v) platform and panel-specific sequence errors. SeqReporter correctly annotated and classified 99.9% (859 of 860) of sequence variants, including 68.7% synonymous single-nucleotide variants, 28.3% nonsynonymous single-nucleotide variants, 1.7% insertions, and 1.3% deletions. One variant of potential clinical significance was re-classified after pathologist review. Laboratory information system-compatible clinical reports were generated automatically. SeqReporter also facilitated quality management activities. SeqReporter is an example of a customized and well-designed informatics solution to optimize and automate the downstream analysis of clinical next-generation sequencing data. We propose it as a model that may envisage the development of a comprehensive clinical informatics solution.

Targeted next-generation sequencing panel (ThyroSeq) for detection of mutations in thyroid cancer.

OBJECTIVES: Next-generation sequencing (NGS) allows for high-throughput sequencing analysis of large regions of the human genome. We explored the use of targeted NGS for simultaneous testing for multiple mutations in thyroid cancer. DESIGN: A custom panel (ThyroSeq) was designed to target 12 cancer genes with 284 mutational hot spots. Sequencing was performed to analyze DNA from 228 thyroid neoplastic and nonneoplastic samples including 105 frozen, 72 formalin-fixed, and 51 fine-needle aspiration samples representing all major types of thyroid cancer. RESULTS: Only 5-10 ng of input DNA was sufficient for successful analysis of 99.6% of samples. The analytical accuracy for mutation detection was 100% with the sensitivity of 3%-5% of mutant allele. ThyroSeq DNA assay identified mutations in 19 of 27 of classic papillary thyroid carcinomas (PTCs) (70%), 25 of 30 follicular variant PTCs (83%), 14 of 18 conventional (78%) and 7 of 18 oncocytic follicular carcinomas (39%), 3 of 10 poorly differentiated carcinomas (30%), 20 of 27 anaplastic (ATCs) (74%), and 11 of 15 medullary thyroid carcinomas (73%). In contrast, 5 of 83 benign nodules (6%) were positive for mutations. Most tumors had a single mutation, whereas several ATCs and PTCs demonstrated two or three mutations. The most common mutations detected were BRAF and RAS followed by PIK3CA, TP53, TSHR, PTEN, GNAS, CTNNB1, and RET. The BRAF mutant allele frequency was 18%-48% in PTCs and was lower in ATCs. CONCLUSIONS: The ThyroSeq NGS panel allows simultaneous testing for multiple mutations with high accuracy and sensitivity, requires a small amount of DNA and can be performed in a variety of thyroid tissue and fine-needle aspiration samples, and provides quantitative assessment of mutant alleles. Using this approach, the point mutations were detected in 30%-83% of specific types of thyroid cancer and in only 6% of benign thyroid nodules and were shown to be present in the majority of cells within the cancer nodule.

MicroRNA expression array identifies novel diagnostic markers for conventional and oncocytic follicular thyroid carcinomas.

OBJECTIVE: The most difficult thyroid tumors to be diagnosed by cytology and histology are conventional follicular carcinomas (cFTCs) and oncocytic follicular carcinomas (oFTCs). Several microRNAs (miRNAs) have been previously found to be consistently deregulated in papillary thyroid carcinomas; however, very limited information is available for cFTC and oFTC. The aim of this study was to explore miRNA deregulation and find candidate miRNA markers for follicular carcinomas that can be used diagnostically. DESIGN: Thirty-eight follicular thyroid carcinomas (21 cFTCs, 17 oFTCs) and 10 normal thyroid tissue samples were studied for expression of 381 miRNAs using human microarray assays. Expression of deregulated miRNAs was confirmed by individual RT-PCR assays in all samples. In addition, 11 follicular adenomas, two hyperplastic nodules (HNs), and 19 fine-needle aspiration samples were studied for expression of novel miRNA markers detected in this study. RESULTS: The unsupervised hierarchical clustering analysis demonstrated individual clusters for cFTC and oFTC, indicating the difference in miRNA expression between these tumor types. Both cFTCs and oFTCs showed an up-regulation of miR-182/-183/-221/-222/-125a-3p and a down-regulation of miR-542-5p/-574-3p/-455/-199a. Novel miRNA (miR-885-5p) was found to be strongly up-regulated (>40-fold) in oFTCs but not in cFTCs, follicular adenomas, and HNs. The classification and regression tree algorithm applied to fine-needle aspiration samples demonstrated that three dysregulated miRNAs (miR-885-5p/-221/-574-3p) allowed distinguishing follicular thyroid carcinomas from benign HNs with high accuracy. CONCLUSIONS: In this study we demonstrate that different histopathological types of follicular thyroid carcinomas have distinct miRNA expression profiles. MiR-885-5p is highly up-regulated in oncocytic follicular carcinomas and may serve as a diagnostic marker for these tumors. A small set of deregulated miRNAs allows for an accurate discrimination between follicular carcinomas and hyperplastic nodules and can be used diagnostically in fine-needle aspiration biopsies.

Detection of IDH1 and IDH2 mutations by fluorescence melting curve analysis as a diagnostic tool for brain biopsies.

Novel mutations in the isocitrate dehydrogenase 1 (IDH1) and 2 (IDH2) genes have been identified in a large proportion of diffuse gliomas. Tumors with IDH1/2 mutations have distinctive clinical characteristics, including a less aggressive course. The aim of this study was to develop and evaluate the performance of a novel real-time PCR and post-PCR fluorescence melting curve analysis assay for the detection of IDH1 and IDH2 mutations in routine formalin-fixed, paraffin-embedded tissues of brain biopsies. Using the established assay, we tested 67 glial neoplasms, 57 non-neoplastic conditions that can often mimic gliomas (eg, radiation changes, viral infections, infarctions, etc), and 44 noncentral nervous system tumors. IDH1 and IDH2 mutations were detected in 72% of lower grade diffuse gliomas and in 17% of glioblastomas. The IDH1 mutation was the most common (93%), with the most frequent subtype being R132H (88%). These mutations were not identified in non-neoplastic glioma mimickers and in noncentral nervous system tumors including thyroid carcinomas. The results of this assay had a 100% correlation with the results obtained by conventional sequencing. In summary, we report here the real-time PCR/fluorescence melting curve analysis assay that provides rapid and sensitive detection of IDH mutations in formalin-fixed, paraffin-embedded tissues, and is therefore useful as a powerful adjunct diagnostic tool for refining histopathological diagnosis of brain lesions and guiding patient management.

Evaluating the near-term infant for early onset sepsis: progress and challenges to consider with 16S rDNA polymerase chain reaction testing.

Although the rate of early onset sepsis in the near-term neonate is low (one to eight of 1,000 cases), the rate of mortality and morbidity is high. As a result, infants receive multiple, broad-spectrum antibiotic therapy, many for up to 7 days despite blood cultures showing no growth. Maternal intrapartum antibiotic prophylaxis and small blood volume collections from infants are cited as reasons for the lack of confidence in negative culture results. Incorporating an additional, more rapid test could facilitate a more timely diagnosis in these infants. To this end, a 16S rDNA polymerase chain reaction (PCR) assay was compared to blood culturing for use as a tool in evaluating early onset sepsis. Of 1,751 neonatal intensive care unit admissions that were screened, 1,233 near-term infants met inclusion criteria. Compared to culture, PCR demonstrated excellent analytical specificity (1,186 of 1,216, 97.5%) and negative predictive value (1,186 of 1,196, 99.2%); however, PCR failed to detect a significant number of culture-proven cases. These findings underscore the cautionary stance that should be taken at this time when considering the use of a molecular amplification test for diagnosing neonatal sepsis. The experience gained from this study illustrates the need for changes in sample collection and preparation techniques so as to improve analytical sensitivity of the assay.

Real-time polymerase chain reaction for detecting bacterial DNA directly from blood of neonates being evaluated for sepsis.

Speed is of the essence when evaluating an infant with symptoms consistent with sepsis. Because of the high morbidity and mortality associated with neonatal sepsis, infants receive multiple, broad-spectrum antibiotics before receiving finalized blood culture results. Incorporating an additional, reliable, yet rapid assay to detect bacteria directly from blood would facilitate timely diagnosis and appropriate care. To this end, we designed a real-time polymerase chain reaction (PCR) assay targeting the highly conserved 380 bases of 16S rDNA. DNA was extracted from whole-blood samples using a Qiagen column. The limit of detection for the TaqMan-based assay, using a Smartcycler instrument, was 40, 50, or 2000 colony-forming units per milliliter of blood (CFU/ml) of Escherichia coli, group B Streptococcus, and Listeria monocytogenes, respectively, when white blood cell counts were below 39,000/microl. Implementing this approach requires less than 4 hours for both sample preparation and real-time PCR compared with 1 to 2 days to detect growth in culture or 5 days to finalize no-growth culture results. There was an overall agreement between the results of culture and real-time PCR of 94.1% (80 of 85) in this study. These results suggest that molecular techniques can augment culture-based methods for diagnosing neonatal sepsis, especially in infants whose mothers have received intrapartum antibiotic prophylaxis.

Use of pyrosequencing of 16S rRNA fragments to differentiate between bacteria responsible for neonatal sepsis.

Infants admitted to neonatal intensive care units for suspicion of bacterial sepsis receive at least two broad-spectrum antibiotics for a minimum of 48 to 72 hours to cover both gram-positive and gram-negative organisms while awaiting blood culture results. On average, bacterial growth becomes detectable within 12 to 24 hours, with an additional 24 to 48 hours required for identification. We have previously described using a 16S rRNA PCR assay for screening neonatal blood for bacterial DNA. Combining PCR with DNA sequencing could prove a faster means of detecting bacteria than culture-based identification. If successful, antibiotic therapy could be appropriately tailored sooner, thus sparing infants the administration of unnecessary antibiotics. Our goal was to assess the potential of pyrosequencing to differentiate between bacteria commonly associated with neonatal sepsis. To begin, full-length sequencing of the 380-bp 16S rRNA amplicons from representative bacteria was conducted (ABI 3100) and several databases queried. These included Staphylococcus sp., Streptococcus sp., Listeria sp., and numerous gram-negative rods. The sequences from clinical isolates were identical to those present in the published databases for the same bacteria. As a result, an informative 15 bases within the 380-bp amplicon was targeted for pyrosequencing following enrichment culture and PCR amplification. A total of 643 bacterial isolates commonly associated with neonatal sepsis, and 15 PCR-positive, culture-positive neonatal whole blood samples were analyzed by pyrosequencing. Results of DNA sequencing and culture identification were compared. In summary, we were successful at using PCR and pyrosequencing together to accurately differentiate between highly diverse bacterial groups.