Evaluation of an integrated clinical workflow for targeted next-generation sequencing of low-quality tumor DNA using a 51-gene enrichment panel

Effect of preservation time of formalin-fixed paraffin-embedded tissues on extractable DNA and RNA quantity

OBJECTIVES

This study aimed to investigate the factors affecting the quantity of DNA and RNA extractable from human formalin-fixed paraffin-embedded (FFPE) tissues stored for different lengths of time.

METHODS

We randomly selected 20 FFPE specimens harvested from hysteromyoma patients with uterine fibroids during 2010, 2015, and 2017 at the Department of Pathology, Jiading District Central Hospital Affiliated Shanghai University of Medicine and Health Sciences. DNA and RNA extractions were performed using a DNA/RNA FFPE kit. DNA and RNA concentrations and their OD₂₆₀/OD₂₈₀ ratios were determined by a NanoDrop 2000 spectrophotometer. The human β-globin gene and aldehyde dehydrogenase-2 (ALDH₂) gene were amplified from nucleic acids using a LightCycler 480 Real-Time PCR System, and PCR amplification products were electrophoresed on 1% agarose gels.

RESULTS

Specimens that were stored for longer showed more degradation and a reduced concentration of DNA and RNA after nucleic acid extraction. However, there was no significant difference in DNA or RNA purity. β-globin and ALDH₂ genes could be amplified from more than 99% of specimens.

CONCLUSION

We found that FFPE tissues stored for longer had a reduced quantity of extractable DNA and RNA. However, these tissues could be used for the analysis of some small target genes.

Explaining sudden infant death with cardiac arrhythmias: Complete exon sequencing of nine cardiac arrhythmia genes in Dutch SIDS cases highlights new and known DNA variants

Previous studies suggested that Sudden Infant Death Syndrome (SIDS) can partially be genetically explained by cardiac arrhythmias; however, the number of individuals and populations investigated remain limited. We report the first SIDS study on cardiac arrhythmias genes from the Netherlands, a country with the lowest SIDS incidence likely due to parent education on awareness of environmental risk factors. By using targeted massively parallel sequencing (MPS) in 142 Dutch SIDS cases, we performed a complete exon screening of all 173 exons from 9 cardiac arrhythmias genes SCN5A, KCNQ1, KCNH2, KCNE1, KCNE2, CACNA1C, CAV3, ANK2 and KCNJ2 (∼34,000 base pairs), that were selected to harbour previously established SIDS-associated DNA variants. Motivated by the poor DNA quality from the paraffin embedded material used, the application of a conservative sequencing quality control protocol resulted in 102 SIDS cases surviving quality control. Amongst the 102 SIDS cases, we identified a total of 40 DNA variants in 8 cardiac arrhythmia genes found in 60 (58.8 %) cases. Statistical analyses using ancestry-adjusted reference population data and multiple test correction revealed that 13 (32.5 %) of the identified DNA variants in 6 cardiac arrhythmia genes were significantly associated with SIDS, which were observed in 15 (14.7 %) SIDS cases. These 13, and another three, DNA variants were classified as likely pathogenic for cardiac arrhythmias using the American College of Medical Genetics guidelines for interpretation of sequence variants. The 16 likely pathogenic DNA variants were found in 16 (15.7 %) SIDS cases, including i) 3 novel DNA variants not recorded in public databases ii) 7 known DNA variants for which significant SIDS association established here was previously unknown, and iii) 6 known DNA variants for which LQTS association was reported previously. By having replicated previously reported SIDS-associated DNA variants located in cardiac arrhythmia genes and by having highlighting novel SIDS-associated DNA variants in such genes, our findings provide additional empirical evidence for the partial genetic explanation of SIDS by cardiac arrhythmias. On a wider note, our study outcome stresses the need for routine post-mortem genetic screening of assumed SIDS cases, particularly for cardiac arrhythmia genes. When put in practise, it will allow preventing further sudden deaths (not only in infants) in the affected families, thereby allowing forensic molecular autopsy not only to provide answers on the cause of death, but moreover to save lives.

An optimized BRCA1/2 next-generation sequencing for different clinical sample types

Objective

A simultaneous detection of germline and somatic mutations in ovarian cancer (OC) using tumor materials is considered to be cost-effective for BRCA1/2 testing. However, there are limited studies of the analytical performances according to various sample types. The aim of this study is to propose a strategy for routine BRCA1/2 next-generation sequencing (NGS) screening based on analytical performance according to different sample types.

Methods

We compared BRCA1/2 NGS screening assay using buffy coat, fresh-frozen (FF) and formalin-fixed paraffin-embedded (FFPE) from 130 samples.

Results

The rate of repeated tests in a total of buffy coat, FF and FFPE was 0%, 8%, and 34%, respectively. The accuracy of BRCA1/2 NGS testing was 100.0%, 99.9% and 99.9% in buffy coat, FFPE and FF, respectively. However, due to the presence of variant allele frequency (VAF) shifted heterozygous variants, tumor materials (FFPE and FF) showed lower sensitivity (95.5%–99.0%) than buffy coat (100%). Furthermore, FFPE showed 51.4% of the positive predictive value (PPV) on account of sequence artifacts. When performed in the post-filtration process, PPV was increased by approximately 20% in FFPE. Buffy coat showed 100% of sensitivity, specificity and accuracy in BRCA1/2 NGS test.

Conclusions

On the comparison of the analytical performance according to different sample types, the buffy coat was not affected by sequencing artifacts and VAF shifted variants. Therefore, the blood test should be given priority in detecting germline BRCA1/2 mutation, and tumor materials could be suitable to detect somatic mutations in OC patients without identifying germline BRCA1/2 mutation.

An Integrated Next-Generation Sequencing System for Analyzing DNA Mutations, Gene Fusions, and RNA Expression in Lung Cancer

We developed and characterized a next-generation sequencing (NGS) technology for streamlined analysis of DNA and RNA using low-input, low-quality cancer specimens. A single-workflow, targeted NGS panel for non-small cell lung cancer (NSCLC) was designed covering 135 RNA and 55 DNA disease-relevant targets. This multiomic panel was used to assess 219 formalin-fixed paraffin-embedded NSCLC surgical resections and core needle biopsies. Mutations and expression phenotypes were identified consistent with previous large-scale genomic studies, including mutually exclusive DNA and RNA oncogenic driver events. Evaluation of a second cohort of low cell count fine-needle aspirate smears from the BATTLE-2 trial yielded 97% agreement with an independent, validated NGS panel that was used with matched surgical specimens. Collectively, our data indicate that broad, clinically actionable insights that previously required independent assays, workflows, and analyses to assess both DNA and RNA can be conjoined in a first-tier, highly multiplexed NGS test, thereby providing faster, simpler, and more economical results.

Whole-Exome Sequencing Reveals Frequent Mutations in Chromatin Remodeling Genes in Mammary and Extramammary Paget's Diseases

Paget's disease (PD) is an intraepidermal adenocarcinoma of the skin at the breast (mammary PD) or urogenital locations (extramammary PD [EMPD]). At present, there is lack of clarity on PD's pathogenesis, the relationship between its subtypes, and its lineage link with the underlying invasive carcinomas. Here we describe that mammary PD and EMPD have similar mutational profiles, with the most frequent recurrent mutations occurring in the chromatin remodeling genes, such as KMT2C (MLL3, 39%) and ARID2 (22%), with additional recurrent somatic mutations detected in genes previously not known to be mutated in cancers, such as CDCC168 (34%), FSIP2 (29%), CASP8AP2 (29%), and BIRC6 (24%). In paired mammary PD and underlying breast carcinoma samples, distinct gene mutations were detected, indicating that they represent independent oncogenic events. Finally, multistage EMPD tissue sequencing revealed KMT2C gene occurring early in EMPD oncogenesis, and that multifocal EMPD samples share the same early gene mutations, suggesting clonal origin of multifocal EMPD. Our results reveal similar genomic landscapes between mammary PD and EMPD, including early aberrations in chromatin remodeling genes. In addition, mammary PD and underlying breast ductal carcinomas represent independent oncogenic events. These findings provide approaches for developing diagnostic tools and therapeutic interventions for PD.

TAP: a targeted clinical genomics pipeline for detecting transcript variants using RNA-seq data

BACKGROUND

RNA-seq is a powerful and cost-effective technology for molecular diagnostics of cancer and other diseases, and it can reach its full potential when coupled with validated clinical-grade informatics tools. Despite recent advances in long-read sequencing, transcriptome assembly of short reads remains a useful and cost-effective methodology for unveiling transcript-level rearrangements and novel isoforms. One of the major concerns for adopting the proven de novo assembly approach for RNA-seq data in clinical settings has been the analysis turnaround time. To address this concern, we have developed a targeted approach to expedite assembly and analysis of RNA-seq data.

RESULTS

Here we present our Targeted Assembly Pipeline (TAP), which consists of four stages: 1) alignment-free gene-level classification of RNA-seq reads using BioBloomTools, 2) de novo assembly of individual targets using Trans-ABySS, 3) alignment of assembled contigs to the reference genome and transcriptome with GMAP and BWA and 4) structural and splicing variant detection using PAVFinder. We show that PAVFinder is a robust gene fusion detection tool when compared to established methods such as Tophat-Fusion and deFuse on simulated data of 448 events. Using the Leucegene acute myeloid leukemia (AML) RNA-seq data and a set of 580 COSMIC target genes, TAP identified a wide range of hallmark molecular anomalies including gene fusions, tandem duplications, insertions and deletions in agreement with published literature results. Moreover, also in this dataset, TAP captured AML-specific splicing variants such as skipped exons and novel splice sites reported in studies elsewhere. Running time of TAP on 100-150 million read pairs and a 580-gene set is one to 2 hours on a 48-core machine.

CONCLUSIONS

We demonstrated that TAP is a fast and robust RNA-seq variant detection pipeline that is potentially amenable to clinical applications. TAP is available at http://www.bcgsc.ca/platform/bioinfo/software/pavfinder.

Detailed genomic characterization identifies high heterogeneity and histotype-specific genomic profiles in adrenocortical carcinomas

Molecular characterization of adrenocortical carcinoma has been recently established, but the correlation between molecular profiles and clinical and pathological characteristics is still poorly defined with no data available about genetic heterogeneity along disease progression. In this scenario, a detailed molecular profile was correlated with clinical and pathological characteristics in adrenocortical carcinoma patients to identify potentially novel biomarkers. Targeted next-generation sequencing and copy number variation analyses for 18 most frequently altered genes in adrenocortical carcinoma were assessed on 62 adult cases (including 10 with matched primary and metastatic/recurrence samples) and results correlated with major clinical and pathological characteristics of tumors. A total of 433 somatic deleterious genetic alterations (328 gene mutations and 105 copy number variations) were identified in 57/62 cases, five resulted wild type for all genes tested. TERT, CDK4, ZNRF3,and RB1 were altered in more than 30% of cases. Among histological variants genotypes were significantly different. Lowest mutation burden was found in the oncocytic type (p = 0.006), whereas the highest with a prevalence of RB1 (p = 0.001) and CDK4 (p = 0.002) was found in the conventional and myxoid ones, respectively. None of the 10 cases with matched samples showed a stable genotype along tumor progression, although allelic frequencies or percentages of altered nuclei at fluorescence in situ hybridization were in most cases similar among different tumor samples for genes that were stable along tumor progression. Among individual genes, an altered p53/Rb1 pathway was the strongest adverse molecular signature, being associated with high Ki-67 index, high tumor stage, aggressive disease status, and shorter disease-free survival. The genomic signature in adrenocortical carcinoma is changing along tumor progression and is associated with specific clinical and pathological features, including histological variant and prognosis.

Exploiting the potential of next-generation sequencing in genomic medicine

INTRODUCTION

The review highlights the impact of next-generation sequencing (NGS) on genomic medicine and the consequences of the progression from a single-gene panel technology to a whole exome sequencing approach.

AREAS COVERED

We brought together literature-based evidences, personal unpublished data and clinical experience to provide a critical overview of the impact of NGS on our daily clinical practice. Expert commentary: NGS has changed the role of clinical geneticist and has broadened the view accomplishing a transition from a monogenic Mendelian perspective to an oligogenic approach to disorders. Thus, it is a compelling new expertise which combines clinical evaluation with big omics data interpretation and moves forward to phenotype re-evaluation in light of data analysis. We introduced the term, 'exotyping', to highlight this holistic approach. Further, the review discusses the impact that the combination of genetic reprogramming and transcriptome analysis will have on the discovery of evidence-based therapies.

DNA degrades during storage in formalin-fixed and paraffin-embedded tissue blocks

Formalin-fixed paraffin-embedded (FFPE) tissue blocks are widely used to identify clinically actionable molecular alterations or perform retrospective molecular studies. Our goal was to quantify degradation of DNA occurring during mid to long-term storage of samples in usual conditions. We selected 46 FFPE samples of surgically resected carcinomas of lung, colon, and urothelial tract, of which DNA had been previously extracted. We performed a second DNA extraction on the same blocks under identical conditions after a median period of storage of 5.5 years. Quantitation of DNA by fluorimetry showed a 53% decrease in DNA quantity after storage. Quantitative PCR (qPCR) targeting KRAS exon 2 showed delayed amplification of DNA extracted after storage in all samples but one. The qPCR/fluorimetry quantification ratio decreased from 56 to 15% after storage (p < 0.001). Overall, remaining proportion of DNA analyzable by qPCR represented only 11% of the amount obtained at first extraction. Maximal length of amplifiable DNA fragments assessed with a multiplex PCR was reduced in DNA extracted from stored tissue, indicating that DNA fragmentation had increased in the paraffin blocks during storage. Next-generation sequencing was performed on 12 samples and showed a mean 3.3-fold decrease in library yield and a mean 4.5-fold increase in the number of single-nucleotide variants detected after storage. In conclusion, we observed significant degradation of DNA extracted from the same FFPE block after 4 to 6 years of storage. Better preservation strategies should be considered for storage of FFPE biopsy specimens.

Development and validation of an ultra-high sensitive next-generation sequencing assay for molecular diagnosis of clinical oncology

Dramatic improvements in the understanding of oncogenes have spurred the development of molecular target therapies, which created an exigent need for comprehensive and rapid clinical genotyping. Next-generation sequencing (NGS) assay with increased performance and decreased cost is becoming more widely used in clinical diagnosis. However, the optimization and validation of NGS assay remain a challenge, especially for the detection of somatic variants at low mutant allele fraction (MAF). In the present study, we developed and validated the Novogene Comprehensive Panel (NCP) based on targeted capture for NGS analysis. Due to the high correlation between SNV/INDEL detection performance and target coverage, here we focused on these two types of variants for our deep sequencing strategy. To validate the capability of NCP in single-nucleotide variant (SNV) and small insert and deletion (INDEL) detection, we implemented a practical validation strategy with pooled cell lines, deep sequencing of pooled samples (>2000X average unique coverage across target region) achieving >99% sensitivity and high specificity (positive predictive value, PPV >99%) for all types of variations with expected MAF >5%. Furthermore, given the high sensitivity and that false positive may exist in this assay, we confirmed its accuracy of variants with MAF <5% using 35 formalin-fixed and paraffin-embedded (FFPE) tumor specimens by Quantstudio 3D Digital PCR (dPCR; Life Technologies) and obtained a high consistency (32 of 35 mutations detected by NGS were verified). We also used the amplification refractory mutation system (ARMS) to verify the variants with a MAF in a broad range of 2-63% detected in 33 FFPE samples and reached a 100% PPV for this assay. As a potential clinical diagnosis tool, NCP can robustly and comprehensively analyze clinical-related genes with high sensitivity and low cost.

Biopanel identifies expression status of targetable proteins in sinonasal melanoma

BACKGROUND

Advanced stage at presentation, lack of BRAF mutations and overall rarity pose unique challenges to the therapy and trial design in sinonasal melanoma.

METHODS

Here, we assessed the expression status of 12 proteins in two independent cohorts of sinonasal melanoma (n = 20).

RESULTS

Each case showed expression of at least one protein (KIT, TP53, MYC, HER2, EGFR, MET, VEGFR, BRAF V600E and/or MDM2), whereas lack of ALK, FLI1 and PDGFRα expression underscores differences to cutaneous melanoma. Comparison of marker frequencies to a metareview of the literature indicates that MYC, HER2, EGFR and MET had not been previously assessed.

CONCLUSION

Expression of at least one potentially targetable protein per case illustrates proteome pathway profiling as one starting point for marker stratified trial design.

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies

All next-generation sequencing (NGS) procedures include assays performed at the laboratory bench ("wet bench") and data analyses conducted using bioinformatics pipelines ("dry bench"). Both elements are essential to produce accurate and reliable results, which are particularly critical for clinical laboratories. Targeted NGS technologies have increasingly found favor in oncology applications to help advance precision medicine objectives, yet the methods often involve disconnected and variable wet and dry bench workflows and uncoordinated reagent sets. In this report, we describe a method for sequencing challenging cancer specimens with a 21-gene panel as an example of a comprehensive targeted NGS system. The system integrates functional DNA quantification and qualification, single-tube multiplexed PCR enrichment, and library purification and normalization using analytically-verified, single-source reagents with a standalone bioinformatics suite. As a result, accurate variant calls from low-quality and low-quantity formalin-fixed, paraffin-embedded (FFPE) and fine-needle aspiration (FNA) tumor biopsies can be achieved. The method can routinely assess cancer-associated variants from an input of 400 amplifiable DNA copies, and is modular in design to accommodate new gene content. Two different types of analytically-defined controls provide quality assurance and help safeguard call accuracy with clinically-relevant samples. A flexible "tag" PCR step embeds platform-specific adaptors and index codes to allow sample barcoding and compatibility with common benchtop NGS instruments. Importantly, the protocol is streamlined and can produce 24 sequence-ready libraries in a single day. Finally, the approach links wet and dry bench processes by incorporating pre-analytical sample quality control results directly into the variant calling algorithms to improve mutation detection accuracy and differentiate false-negative and indeterminate calls. This targeted NGS method uses advances in both wetware and software to achieve high-depth, multiplexed sequencing and sensitive analysis of heterogeneous cancer samples for diagnostic applications.

Bioinformatics Workflow for Clinical Whole Genome Sequencing at Partners HealthCare Personalized Medicine

Effective implementation of precision medicine will be enhanced by a thorough understanding of each patient’s genetic composition to better treat his or her presenting symptoms or mitigate the onset of disease. This ideally includes the sequence information of a complete genome for each individual. At Partners HealthCare Personalized Medicine, we have developed a clinical process for whole genome sequencing (WGS) with application in both healthy individuals and those with disease. In this manuscript, we will describe our bioinformatics strategy to efficiently process and deliver genomic data to geneticists for clinical interpretation. We describe the handling of data from FASTQ to the final variant list for clinical review for the final report. We will also discuss our methodology for validating this workflow and the cost implications of running WGS.

Next-Generation Sequencing Workflow for NSCLC Critical Samples Using a Targeted Sequencing Approach by Ion Torrent PGM™ Platform

Next-generation sequencing (NGS) is a cost-effective technology capable of screening several genes simultaneously; however, its application in a clinical context requires an established workflow to acquire reliable sequencing results. Here, we report an optimized NGS workflow analyzing 22 lung cancer-related genes to sequence critical samples such as DNA from formalin-fixed paraffin-embedded (FFPE) blocks and circulating free DNA (cfDNA). Snap frozen and matched FFPE gDNA from 12 non-small cell lung cancer (NSCLC) patients, whose gDNA fragmentation status was previously evaluated using a multiplex PCR-based quality control, were successfully sequenced with Ion Torrent PGM™. The robust bioinformatic pipeline allowed us to correctly call both Single Nucleotide Variants (SNVs) and indels with a detection limit of 5%, achieving 100% specificity and 96% sensitivity. This workflow was also validated in 13 FFPE NSCLC biopsies. Furthermore, a specific protocol for low input gDNA capable of producing good sequencing data with high coverage, high uniformity, and a low error rate was also optimized. In conclusion, we demonstrate the feasibility of obtaining gDNA from FFPE samples suitable for NGS by performing appropriate quality controls. The optimized workflow, capable of screening low input gDNA, highlights NGS as a potential tool in the detection, disease monitoring, and treatment of NSCLC.

Genomic signatures for paclitaxel and gemcitabine resistance in breast cancer derived by machine learning

Increasingly, the effectiveness of adjuvant chemotherapy agents for breast cancer has been related to changes in the genomic profile of tumors. We investigated correspondence between growth inhibitory concentrations of paclitaxel and gemcitabine (GI50) and gene copy number, mutation, and expression first in breast cancer cell lines and then in patients. Genes encoding direct targets of these drugs, metabolizing enzymes, transporters, and those previously associated with chemoresistance to paclitaxel (n = 31 genes) or gemcitabine (n = 18) were analyzed. A multi-factorial, principal component analysis (MFA) indicated expression was the strongest indicator of sensitivity for paclitaxel, and copy number and expression were informative for gemcitabine. The factors were combined using support vector machines (SVM). Expression of 15 genes (ABCC10, BCL2, BCL2L1, BIRC5, BMF, FGF2, FN1, MAP4, MAPT, NFKB2, SLCO1B3, TLR6, TMEM243, TWIST1, and CSAG2) predicted cell line sensitivity to paclitaxel with 82% accuracy. Copy number profiles of 3 genes (ABCC10, NT5C, TYMS) together with expression of 7 genes (ABCB1, ABCC10, CMPK1, DCTD, NME1, RRM1, RRM2B), predicted gemcitabine response with 85% accuracy. Expression and copy number studies of two independent sets of patients with known responses were then analyzed with these models. These included tumor blocks from 21 patients that were treated with both paclitaxel and gemcitabine, and 319 patients on paclitaxel and anthracycline therapy. A new paclitaxel SVM was derived from an 11-gene subset since data for 4 of the original genes was unavailable. The accuracy of this SVM was similar in cell lines and tumor blocks (70-71%). The gemcitabine SVM exhibited 62% prediction accuracy for the tumor blocks due to the presence of samples with poor nucleic acid integrity. Nevertheless, the paclitaxel SVM predicted sensitivity in 84% of patients with no or minimal residual disease.

Targeted Next-Generation Sequencing for Clinical Diagnosis of 561 Mendelian Diseases

Background

Targeted next-generation sequencing (NGS) is a cost-effective approach for rapid and accurate detection of genetic mutations in patients with suspected genetic disorders, which can facilitate effective diagnosis.

Methodology/Principal Findings

We designed a capture array to mainly capture all the coding sequence (CDS) of 2,181 genes associated with 561 Mendelian diseases and conducted NGS to detect mutations. The accuracy of NGS was 99.95%, which was obtained by comparing the genotypes of selected loci between our method and SNP Array in four samples from normal human adults. We also tested the stability of the method using a sample from normal human adults. The results showed that an average of 97.79% and 96.72% of single-nucleotide variants (SNVs) in the sample could be detected stably in a batch and different batches respectively. In addition, the method could detect various types of mutations. Some disease-causing mutations were detected in 69 clinical cases, including 62 SNVs, 14 insertions and deletions (Indels), 1 copy number variant (CNV), 1 microdeletion and 2 microduplications of chromosomes, of which 35 mutations were novel. Mutations were confirmed by Sanger sequencing or real-time polymerase chain reaction (PCR).

Conclusions/Significance

Results of the evaluation showed that targeted NGS enabled to detect disease-causing mutations with high accuracy, stability, speed and throughput. Thus, the technology can be used for the clinical diagnosis of 561 Mendelian diseases.

Combined Targeted DNA Sequencing in Non-Small Cell Lung Cancer (NSCLC) Using UNCseq and NGScopy, and RNA Sequencing Using UNCqeR for the Detection of Genetic Aberrations in NSCLC

The recent FDA approval of the MiSeqDx platform provides a unique opportunity to develop targeted next generation sequencing (NGS) panels for human disease, including cancer. We have developed a scalable, targeted panel-based assay termed UNCseq, which involves a NGS panel of over 200 cancer-associated genes and a standardized downstream bioinformatics pipeline for detection of single nucleotide variations (SNV) as well as small insertions and deletions (indel). In addition, we developed a novel algorithm, NGScopy, designed for samples with sparse sequencing coverage to detect large-scale copy number variations (CNV), similar to human SNP Array 6.0 as well as small-scale intragenic CNV. Overall, we applied this assay to 100 snap-frozen lung cancer specimens lacking same-patient germline DNA (07–0120 tissue cohort) and validated our results against Sanger sequencing, SNP Array, and our recently published integrated DNA-seq/RNA-seq assay, UNCqeR, where RNA-seq of same-patient tumor specimens confirmed SNV detected by DNA-seq, if RNA-seq coverage depth was adequate. In addition, we applied the UNCseq assay on an independent lung cancer tumor tissue collection with available same-patient germline DNA (11–1115 tissue cohort) and confirmed mutations using assays performed in a CLIA-certified laboratory. We conclude that UNCseq can identify SNV, indel, and CNV in tumor specimens lacking germline DNA in a cost-efficient fashion.

Methods: for studying pharmacogenetic profiles of combination chemotherapeutic drugs

INTRODUCTION

Molecular and genetic analysis of tumors and individuals has led to patient-centered therapies, through the discovery and identification of genetic markers predictive of drug efficacy and tolerability. Present therapies often include a combination of synergic drugs, each of them directed against different targets. Therefore, the pharmacogenetic profiling of tumor masses and patients is becoming a challenge, and several questions may arise when planning a translational study.

AREAS COVERED

The review presents the different techniques used to stratify oncology patients and to tailor antineoplastic treatments according to individual pharmacogenetic profiling. The advantages of these methodologies are discussed as well as current limits.

EXPERT OPINION

Facing the rapid technological evolution for genetic analyses, the most pressing issues are the choice of appropriate strategies (i.e., from gene candidate up to next-generation sequencing) and the possibility to replicate study results for their final validation. It is likely that the latter will be the major obstacle in the future. However, the present landscape is opening up new possibilities, overcoming those hurdles that have limited result translation into clinical settings for years.

Next-generation sequencing technology in prostate cancer diagnosis, prognosis, and personalized treatment

Next-generation sequencing (NGS) of the genetic information of cancer cells has revolutionized the field of cancer biology, including prostate cancer (PCa). New recurrent alterations have been identified in PCa (e.g., TMPRSS2-ERG translocation, SPOP and CHD1 mutations, and chromoplexy), and many previous ones in well-established pathways have been validated (e.g., androgen receptor overexpression and mutations; PTEN, RB1, and TP53 loss/mutations). With its highly heterogeneous nature, PCa continues to pose a tremendous challenge in terms of diagnosis and prognosis. Combining the information gained through NGS studies with clinicopathological and radiological data will help diagnose the aggressiveness of the cancer with greater accuracy. Furthermore, understanding the heterogeneity of tumor through single-cell or single-molecule sequencing technology will also strengthen the prognosis and provide better, patient-specific drug identification. As this research becomes more prominent, it is important that urologic oncologists become familiar with the various NGS technologies and the results generated using them. We highlight the commonly used NGS tools and summarize recent discoveries relevant to PCa.