Next-generation sequencing of cancer genomes: back to the future

Application of duplex sequencing to evaluate mutagenicity of aristolochic acid and methapyrilene in Fisher 344 rats

Duplex sequencing (DS) is an error-corrected next-generation sequencing (NGS) method that can overcome notorious high error rate from the process of NGS and detect ultralow-frequency mutations. In this study, we evaluated the mutagenicity of aristolochic acid, a known genotoxic carcinogen, and methapyrilene, a known nongenotoxic carcinogen using DS. Four male Fisher 344 rats were treated with aristolochic acid, methapyrilene, or the vehicle control for 6 weeks, liver tissues were collected one day after the treatment, and the DNA was isolated for analysis. The mutation frequency for the aristolochic acid-treated group was significantly increased over the vehicle control (44-fold), whereas no significant difference in the mutation frequency was observed between the methapyrilene-treated and the control groups. The primary type of mutation induced by aristolochic acid was A:T > T:A transversion, which occurred frequently at ApT sites, whereas the major type of mutation in the control and methapyrilene-treated groups was G:C > A:T transition, which occurred frequently at CpG sites. These findings are consistent with previously published data obtained with other in vivo mutation assays. Thus, our results suggest that the DS mutation assay is a promising technology for assessing mutagenicity of chemicals in vivo.

Duplex sequencing identifies genomic features that determine susceptibility to benzo(a)pyrene-induced in vivo mutations

Exposure to environmental mutagens increases the risk of cancer and genetic disorders. We used Duplex Sequencing (DS), a high-accuracy error-corrected sequencing technology, to analyze mutation induction across twenty 2.4 kb intergenic and genic targets in the bone marrow of MutaMouse males exposed to benzo(a)pyrene (BaP), a widespread environmental pollutant. DS revealed a linear dose-related induction of mutations across all targets with low intra-group variability. Heterochromatic and intergenic regions exhibited the highest mutation frequencies (MF). C:G > A:T transversions at CCA, CCC and GCC trinucleotides were enriched in BaP-exposed mice consistent with the known etiology of BaP mutagenesis. However, GC-content had no effect on mutation susceptibility. A positive correlation was observed between DS and the “gold-standard” transgenic rodent gene mutation assay. Overall, we demonstrate that DS is a promising approach to study in vivo mutagenesis and yields critical insight into the genomic features governing mutation susceptibility, spectrum, and variability across the genome.

Molecular Subtyping of Pancreatic Cancer: Translating Genomics and Transcriptomics into the Clinic

Pancreatic cancer remains one of the most lethal malignancies, and insights into both personalized diagnosis and intervention of this disease are urgently needed. The rapid development of sequencing technologies has enabled the successive completion of a series of genetic and epigenetic sequencing studies of pancreatic cancer. The mutational landscape of pancreatic cancer is generally portrayed in terms of somatic mutations, structural variations, epigenetic alterations and the core signaling pathways. In recent years, four significant molecular subtype classifications of pancreatic cancer have been proposed based on the expression of transcription factors and downstream targets or the distribution of structural rearrangements. Increasing researches focus on the identification of somatic mutations and other genetic aberrations that drive pancreatic cancer has led to a new era of precision medicine based on molecular subtyping. However, few known molecular classifications are used to guide clinical strategies. Specific scientific, regulatory and ethical challenges must be overcome before genomic and transcriptomic discoveries can be translated into the clinic.

Mutational analysis of breast cancer: guiding personalized treatments

The application of high throughput techniques to profile DNA, RNA and protein in breast cancer samples from hundreds of patients has profoundly increased our knowledge of the disease. However there remain many knowledge gaps that will require a long process of extended clinical correlation studies, deeper integrated 'omic analysis and functional annotation to address. This article reviews conclusions from recent breast cancer 'omics profiling' papers and considers pathways forward for extracting medically valuable information from large dimension data sets.

Genomic tools in acute myeloid leukemia: From the bench to the bedside

Since its use in the initial characterization of an acute myeloid leukemia (AML) genome, next-generation sequencing (NGS) has continued to molecularly refine the disease. Here, the authors review the spectrum of NGS applications that have subsequently delineated the prognostic significance and biologic consequences of these mutations. Furthermore, the role of this technology in providing a high-resolution glimpse of AML clonal heterogeneity, which may inform future choice of targeted therapy, is discussed. Although obstacles remain in applying these techniques clinically, they have already had an impact on patient care.

Are results of targeted gene sequencing ready to be used for clinical decision making for patients with acute myelogenous leukemia?

Acute myeloid leukemia (AML) is the most common acute leukemia in the USA, which despite recent advances, continues to have a high mortality rate. It is a biologically active disease characterized by numerous cytogenetic abnormalities and multiple genetic mutations. Next-generation sequencing (NGS) will perhaps not reveal all the factors that make AML a complex disease, but does have the potential to affect the diagnosis and risk stratification of AML patients and allow more personalized therapy. AML cells are easy to obtain from the patient and samples are only minimally contaminated with normal cells, which makes it an attractive cancer to study. Several studies have now demonstrated that the majority of AML patients are cytogenetically normal and the genome of these patients may contain fewer mutations than cancer genomes that are highly aneuploidy, suggesting that mutations in diploid genomes are more likely to be pathogenetically relevant. Whole-genome, exome, transcriptome, and targeted gene sequencing studies have been conducted successfully in AML and have provided with valuable information. The challenges for the future include: reducing the cost of sequencing, understanding epigenetic changes, managing data across various platforms, separating the driver mutations from the sea of passenger mutations, and finally, educating future generations to allow a better understanding and easy availability of these complex methodologies.

Microbes, metagenomes and marine mammals: enabling the next generation of scientist to enter the genomic era

Background

The revolution in DNA sequencing technology continues unabated, and is affecting all aspects of the biological and medical sciences. The training and recruitment of the next generation of researchers who are able to use and exploit the new technology is severely lacking and potentially negatively influencing research and development efforts to advance genome biology. Here we present a cross-disciplinary course that provides undergraduate students with practical experience in running a next generation sequencing instrument through to the analysis and annotation of the generated DNA sequences.

Results

Many labs across world are installing next generation sequencing technology and we show that the undergraduate students produce quality sequence data and were excited to participate in cutting edge research. The students conducted the work flow from DNA extraction, library preparation, running the sequencing instrument, to the extraction and analysis of the data. They sequenced microbes, metagenomes, and a marine mammal, the Californian sea lion, Zalophus californianus. The students met sequencing quality controls, had no detectable contamination in the targeted DNA sequences, provided publication quality data, and became part of an international collaboration to investigate carcinomas in carnivores.

Conclusions

Students learned important skills for their future education and career opportunities, and a perceived increase in students’ ability to conduct independent scientific research was measured. DNA sequencing is rapidly expanding in the life sciences. Teaching undergraduates to use the latest technology to sequence genomic DNA ensures they are ready to meet the challenges of the genomic era and allows them to participate in annotating the tree of life.

Technological evolution of diagnostic testing in oncology

Diagnostic testing has been improving the quality of cancer care. The dynamics of this field can be grasped through the application of innovation lifecycle models. Single testing, parallel testing and whole-genome sequencing are major technological evolutions. Given the increasing availability of biomarkers, the performance of single testing will be limited in the future, favoring the further implementation of parallel testing technologies. Whole-genome sequencing will lead to a further performance increase by introducing the era of genomic medicine. A broad adoption of presently available diagnostic technologies sets up the infrastructure for future technologies. The speed at which these technologies are introduced depends heavily on the regulatory and reimbursement environment, while their final diffusion is subject to pragmatic criteria such as user friendliness, perceived risk and perceived value added.

TP53 mutations in myelodysplastic syndrome are strongly correlated with aberrations of chromosome 5, and correlate with adverse prognosis

This study aimed to determine the incidence/prognostic impact of TP53 mutation in 318 myelodysplastic syndrome (MDS) patients, and to correlate the changes to cytogenetics, single nucleotide polymorphism array karyotyping and clinical outcome. The median age was 65 years (17-89 years) and median follow-up was 45 months [95% confidence interval (CI) 27-62 months]. TP53 mutations occurred in 30 (9.4%) patients, exclusively in isolated del5q (19%) and complex karyotype (CK) with -5/5q-(72%), correlated with International Prognostic Scoring System intermediate-2/high, TP53 protein expression, higher blast count and leukaemic progression. Patients with mutant TP53 had a paucity of mutations in other genes implicated in myeloid malignancies. Median overall survival of patients with TP53 mutation was shorter than wild-type (9 versus 66 months, P < 0.001) and it retained significance in multivariable model (Hazard Ratio 3.8, 95%CI 2.3-6.3,P < 0.001). None of the sequentially analysed samples showed a disappearance of the mutant clone or emergence of new clones, suggesting an early occurrence of TP53 mutations. A reduction in mutant clone correlated with response to 5-azacitidine, however clones increased in non-responders and persisted at relapse. The adverse impact of TP53 persists after adjustment for cytogenetic risk and is of practical importance in evaluating prognosis. The relatively common occurrence of these mutations in two different prognostic spectrums of MDS, i.e. isolated 5q- and CK with -5/5q-, possibly implies two different mechanistic roles for TP53 protein.

Array comparative genomic hybridization: an overview of protocols, applications, and technology trends

From the earliest observations of human chromosomes in the late 1800s to modern day next generation sequencing technologies, much has been learned about human cancers by the vigorous application of the techniques of the day. In general, resolution has improved tremendously, and correspondingly the size of the datasets generated has grown exponentially such that computational methods required to handle massive datasets have had to be devised. This chapter provides a brief synopsis of the evolution of such techniques as an introduction to the subsequent chapters that provide methods and applications, relevant to research, and clinical diagnostics.

Detection of FLT3 internal tandem duplication in targeted, short-read-length, next-generation sequencing data

A recurrent somatic mutation frequently found in cytogenetically normal acute myeloid leukemia (AML) is internal tandem duplication (ITD) in the fms-related tyrosine kinase 3 gene (FLT3). This mutation is generally detected in the clinical laboratory by PCR and electrophoresis-based product sizing. As the number of clinically relevant somatic mutations in AML increases, it becomes increasingly attractive to incorporate FLT3 ITD testing into multiplex assays for many somatic mutations simultaneously, using next-generation sequencing (NGS). However, the performance of most NGS analysis tools for identifying medium-size insertions such as FLT3 ITD mutations is largely unknown. We used a multigene, targeted NGS assay to obtain deep sequence coverage (>1000-fold) of FLT3 and 26 other genes from 22 FLT3 ITD-positive and 29 ITD-negative specimens to examine the performance of several commonly used NGS analysis tools for identifying FLT3 ITD mutations. ITD mutations were present in hybridization-capture sequencing data, and Pindel was the only tool out of the seven tested that reliably detected these insertions. Pindel had 100% sensitivity (95% CI = 83% to 100%) and 100% specificity (95% CI = 88% to 100%) in our samples; Pindel provided accurate ITD insertion sizes and was able to detect ITD alleles present at estimated frequencies as low as 1%. These data demonstrate that FLT3 ITDs can be reliably detected in panel-based, next-generation sequencing assays.

Targeted next generation sequencing of clinically significant gene mutations and translocations in leukemia

Leukemias are currently subclassified based on the presence of recurrent cytogenetic abnormalities and gene mutations. These molecular findings are the basis for risk-adapted therapy; however, such data are generally obtained by disparate methods in the clinical laboratory, and often rely on low-resolution techniques such as fluorescent in situ hybridization. Using targeted next generation sequencing, we demonstrate that the full spectrum of prognostically significant gene mutations including translocations, single nucleotide variants (SNVs), and insertions/deletions (indels) can be identified simultaneously in multiplexed sequence data. As proof of concept, we performed hybrid capture using a panel of 20 genes implicated in leukemia prognosis (covering a total of 1 Mbp) from five leukemia cell lines including K562, NB4, OCI-AML3, kasumi-1, and MV4-11. Captured DNA was then sequenced in multiplex on an Illumina HiSeq. Using an analysis pipeline based on freely available software we correctly identified DNA-level translocations in three of the three cell lines where translocations were covered by our capture probes. Furthermore, we found all published gene mutations in commonly tested genes including NPM1, FLT3, and KIT. The same methodology was applied to DNA extracted from the bone marrow of a patient with acute myeloid leukemia, and identified a t(9;11) translocation with single base accuracy as well other gene mutations. These results indicate that targeted next generation sequencing can be successfully applied in the clinical laboratory to identify a full spectrum of DNA mutations ranging from SNVs and indels to translocations. Such methods have the potential to both greatly streamline and improve the accuracy of DNA-based diagnostics.

Cancer Genomics: Technology, Discovery, and Translation

In recent years, the increasing awareness that somatic mutations and other genetic aberrations drive human malignancies has led us within reach of personalized cancer medicine (PCM). The implementation of PCM is based on the following premises: genetic aberrations exist in human malignancies; a subset of these aberrations drive oncogenesis and tumor biology; these aberrations are actionable (defined as having the potential to affect management recommendations based on diagnostic, prognostic, and/or predictive implications); and there are highly specific anticancer agents available that effectively modulate these targets. This article highlights the technology underlying cancer genomics and examines the early results of genome sequencing and the challenges met in the discovery of new genetic aberrations. Finally, drawing from experiences gained in a feasibility study of somatic mutation genotyping and targeted exome sequencing led by Princess Margaret Hospital–University Health Network and the Ontario Institute for Cancer Research, the processes, challenges, and issues involved in the translation of cancer genomics to the clinic are discussed.

Next-generation sequencing and its applications in molecular diagnostics

DNA sequencing is a powerful approach for decoding a number of human diseases, including cancers. The advent of next-generation sequencing (NGS) technologies has reduced sequencing cost by orders of magnitude and significantly increased the throughput, making whole-genome sequencing a possible way for obtaining global genomic information about patients on whom clinical actions may be taken. However, the benefits offered by NGS technologies come with a number of challenges that must be adequately addressed before they can be transformed from research tools to routine clinical practices. This article provides an overview of four commonly used NGS technologies from Roche Applied Science//454 Life Sciences, Illumina, Life Technologies and Helicos Biosciences. The challenges in the analysis of NGS data and their potential applications in clinical diagnosis are also discussed.

The Future of Children's Health in the Genomic Era

The effects of genomic medicine on child health promise to be profound. Medical applications will eventually include characterizing patients' genomes to detect predictive mutations for pre-symptomatic counseling where treatment exists; to search for causes of diseases of unknown etiology, and to detect carriers for prenatal counseling; to define cancer and other disease-based genomes to design individualized therapy; and to understand our microbiomes to modify these in health and disease. Rapid advances in technology and bioinformatics have reduced the cost and the time and increased the accuracy necessary to sequence whole genomes or whole exomes. However, complete understanding of disease will also require correlation of genomic information with high-quality phenotypic data. In addition, several critical ethical, psycho-social, and public policy issues will require clarity in the coming years. Ultimately these advances will improve the effectiveness of health care for children and for society.

From trees to the forest: genes to genomics

Crick, Watson, and colleagues revealed the genetic code in 1953, and since that time, remarkable progress has been made in understanding what makes each of us who we are. Identification of single genes important in disease, and the development of a mechanistic understanding of genetic elements that regulate gene function, have cast light on the pathophysiology of many heritable and acquired disorders. In 1990, the human genome project commenced, with the goal of sequencing the entire human genome, and a "first draft" was published with astonishing speed in 2001. The first draft, although an extraordinary achievement, reported essentially an imaginary haploid mix of alleles rather than a true diploid genome. In the years since 2001, technology has further improved, and efforts have been focused on filling in the gaps in the initial genome and starting the huge task of looking at normal variation in the human genome. This work is the beginning of understanding human genetics in the context of the structure of the genome as a complete entity, and as more than simply the sum of a series of genes. We present 3 studies in this review that apply genomic approaches to leukemia and to transplantation to improve and extend therapies.

An integrated genomic approach to the assessment and treatment of acute myeloid leukemia

Traditionally, new scientific advances have been applied quickly to the leukemias based on the ease with which relatively pure samples of malignant cells can be obtained. Currently, our arsenal of approaches used to characterize an individual's acute myeloid leukemia (AML) combines hematopathologic evaluation, flow cytometry, cytogenetic analysis, and molecular studies focused on a few key genes. The advent of high-throughput methods capable of full-genome evaluation presents new options for a revolutionary change in the way we diagnose, characterize, and treat AML. Next-generation DNA sequencing techniques allow full sequencing of a cancer genome or transcriptome, with the hope that this will be affordable for routine clinical care within the decade. Microarray-based testing will define gene and miRNA expression, DNA methylation patterns, chromosomal imbalances, and predisposition to disease and chemosensitivity. The vision for the future entails an integrated and automated approach to these analyses, bringing the possibility of formulating an individualized treatment plan within days of a patient's initial presentation. With these expectations comes the hope that such an approach will lead to decreased toxicities and prolonged survival for patients.

Sequencing a mouse acute promyelocytic leukemia genome reveals genetic events relevant for disease progression

Acute promyelocytic leukemia (APL) is a subtype of acute myeloid leukemia (AML). It is characterized by the t(15;17)(q22;q11.2) chromosomal translocation that creates the promyelocytic leukemia-retinoic acid receptor α (PML-RARA) fusion oncogene. Although this fusion oncogene is known to initiate APL in mice, other cooperating mutations, as yet ill defined, are important for disease pathogenesis. To identify these, we used a mouse model of APL, whereby PML-RARA expressed in myeloid cells leads to a myeloproliferative disease that ultimately evolves into APL. Sequencing of a mouse APL genome revealed 3 somatic, nonsynonymous mutations relevant to APL pathogenesis, of which 1 (Jak1 V657F) was found to be recurrent in other affected mice. This mutation was identical to the JAK1 V658F mutation previously found in human APL and acute lymphoblastic leukemia samples. Further analysis showed that JAK1 V658F cooperated in vivo with PML-RARA, causing a rapidly fatal leukemia in mice. We also discovered a somatic 150-kb deletion involving the lysine (K)-specific demethylase 6A (Kdm6a, also known as Utx) gene, in the mouse APL genome. Similar deletions were observed in 3 out of 14 additional mouse APL samples and 1 out of 150 human AML samples. In conclusion, whole genome sequencing of mouse cancer genomes can provide an unbiased and comprehensive approach for discovering functionally relevant mutations that are also present in human leukemias.