Development of a robust DNA quality and quantity assessment qPCR assay for targeted next-generation sequencing library preparation

Development, testing and validation of a targeted NGS-panel for the detection of actionable mutations in lung cancer (NSCLC) using anchored multiplex PCR technology in a multicentric setting

Lung cancer is a paradigm for a genetically driven tumor. A variety of drugs were developed targeting specific biomarkers requiring testing for tumor genetic alterations in relevant biomarkers. Different next-generation sequencing technologies are available for library generation: 1) anchored multiplex-, 2) amplicon based- and 3) hybrid capture-based-PCR. Anchored multiplex PCR-based sequencing was investigated for routine molecular testing within the national Network Genomic Medicine Lung Cancer (nNGM). Four centers applied the anchored multiplex ArcherDX-Variantplex nNGMv2 panel to re-analyze samples pre-tested during routine diagnostics. Data analyses were performed by each center and compiled centrally according to study design. Pre-defined standards were utilized, and panel sensitivity was determined by dilution experiments. nNGMv2 panel sequencing was successful in 98.9% of the samples (N = 90). With default filter settings, all but two potential MET exon 14 skipping variants were identified at similar allele frequencies. Both MET variants were found with an adapted calling filter. Three additional variants (KEAP1, STK11, TP53) were called that were not identified in pre-testing analyses. Only total DNA amount but not a qPCR-based DNA quality score correlated with average coverage. Analysis was successful with a DNA input as low as 6.25 ng. Anchored multiplex PCR-based sequencing (nNGMv2) and a sophisticated user-friendly Archer-Analysis pipeline is a robust and specific technology to detect tumor genetic mutations for precision medicine of lung cancer patients.

A Comparison of Tissue Dissection Techniques for Diagnostic, Prognostic, and Theragnostic Analysis of Human Disease

Histopathology has historically been the critical technique for the diagnosis and treatment of human disease. Today, genomics, transcriptomics, and proteomics from specific cells, rather than bulk tissue, have become key to understanding underlying disease mechanisms and rendering useful diagnostic information. Extraction of desired analytes, i.e., nucleic acids or proteins, from easily accessible formalin-fixed paraffin-embedded tissues allows for clinically relevant activities, such as sequencing biomarker mutations or typing amyloidogenic proteins. Genetic profiling has become routine for cancers as varied as non-small cell lung cancer and prostatic carcinoma. The five main tissue dissection techniques that have been developed thus far include: bulk scraping, manual macrodissection, manual microdissection, laser-capture microdissection, and expression microdissection. In this review, we discuss the importance of tissue dissection in clinical practice and research, the basic methods, applications, as well as some advantages and disadvantages for each modality.

Preanalytical Variables and Sample Quality Control for Clinical Variant Analysis

Broad molecular profiling by next-generation sequencing of solid tumors has become a critical tool for clinical decision-making in the era of precision oncology. In addition to many already approved targeted therapies, more than half of ongoing oncology-related clinical trials are biomarker-driven. Therefore, accurate and reliable assays are needed to assess the genetic make-up of tumor cells and guide clinicians in the therapy decision process. In order to obtain high-quality NGS data for variant detection, certain preanalytical steps and quality metrics should be followed. These include assessment of sample types, choice of extraction method, library preparation technology, sequencing platform, and finally sequencing quality control. Each of these steps has certain challenges and pitfalls that need to be addressed and overcome, respectively. In this chapter, we address the preanalytical quality control and how each of the involved steps may influence the final result. Following these guidelines and QC metrics may help in obtaining optimal results that will allow the precise and robust assessment of genetic variants in a clinical setting.

Considerations in the development and validation of real-time quantitative polymerase chain reaction and its application in regulated bioanalysis to characterize the cellular kinetics of CAR-T products in clinical studies

Real-time quantitative polymerase chain reaction (qPCR) has become the standard method for monitoring cellular kinetics of CAR-T therapies with measurement of the CAR transgene copy numbers in peripheral blood mononuclear cells isolated from patients receiving the treatment. Unlike other biophysical and immunological methodologies for bioanalytical characterization of conventional small molecule drugs or protein biologics, there is no relevant regulatory guidance to date on the method development and validation for quantitative qPCR assays employed during clinical development of CAR-T products. This paper will provide an overview and considerations in the development and validation of a qPCR assay from sample extraction to assay parameters and its implementation in regulated bioanalysis for CAR-T or other types of cell therapies.

Small lung tumor biopsy samples are feasible for high quality targeted next generation sequencing

Next‐generation sequencing (NGS) has been implemented in clinical oncology to analyze multiple genes and to guide therapy. In patients with advanced lung cancer, small biopsies such as computed tomography‐guided needle biopsy (CTNB), endobronchial ultrasound‐guided transbronchial needle aspiration (EBUS‐TBNA) and transbronchial biopsy (TBB) are less invasive and are preferable to resection to make a pathological diagnosis. However, the quality of DNA/RNA and NGS from small lung tumor biopsy samples is unknown. Between April 2017 and March 2018, 107 consecutive samples were obtained from thoracic tumors or metastatic sites for targeted NGS analysis. Fifteen samples were obtained through CTNB, 11 through EBUS‐TBNA, 11 through TBB and 70 through surgical resection. All samples were formalin‐fixed and paraffin‐embedded. DNA and RNA quality was measured using the ddCq method and the percentage of RNA fragments above 200 nucleotides (DV200), respectively. Our custommade probes were designed to capture exon sequences of 464 cancer‐related genes and transcripts of 463 genes. DNA and RNA yield from the 3 biopsy methods were similar, and less than the yield obtained from resected samples. The quality of DNA and RNA was similar across all methods. Overall, 12 of 15 CTNB samples (80%), all 11 EBUS‐TBNA samples, and 9 of 11 TBB samples (82%) underwent successful NGS assays from DNA. NGS analysis from RNA was successful in all 12 CTNB samples, 9 of 11 EBUS‐TBNA samples (82%), and 8 of 11 TBB samples (73%). CTNB, EBUS‐TBNA and TBB mostly resulted in adequate DNA and RNA quality and enabled high‐quality targeted NGS analysis.

Relationship between formalin reagent and success rate of targeted sequencing analysis using formalin fixed paraffin embedded tissues

BACKGROUND

Tumor genetic alterations are determined to aid in selecting therapy and predicting prognosis. In routine clinical practice, targeted sequencing analysis is performed using formalin-fixed paraffin embedded (FFPE) tissues. However, successful genetic analysis remains challenging because FFPE DNA is fragmented during the sample preparation process.

METHODS

Real-time PCR was performed to assess DNA quality and quantities. Targeted sequencing was performed using FFPE tissues fixed with different types of formalin.

RESULTS

DNA was less fragmented from samples fixed in low formalin concentration (10% vs. 20%) and neutral buffered conditions (neutral buffered vs. non-neutral). DNA fragmentation increased over the fixation time. In a preliminary test study, we compared fixation using 10% neutral buffered formalin (n = 180) and 20% formalin (n = 26). The success rate of targeted analysis was higher using 10% neutral formalin (98.3%; 177/180) compared with 20% formalin (34.6%; 9/26). In a validation study with additional formalin-fixed paraffin embedded tissues fixed with 10% neutral buffered formalin (n = 860), we reproduced these results and achieved a high success rate for targeted sequencing analysis (98.4%; 846/860).

CONCLUSION

Our data show that 10% neutral buffered formalin is recommended for fixation of formalin-fixed paraffin embedded samples to achieve high success rate of targeted sequencing analysis.

Shallow whole genome sequencing for robust copy number profiling of formalin-fixed paraffin-embedded breast cancers

Pathology archives with linked clinical data are an invaluable resource for translational research, with the limitation that most cancer samples are formalin-fixed paraffin-embedded (FFPE) tissues. Therefore, FFPE tissues are an important resource for genomic profiling studies but are under-utilised due to the low amount and quality of extracted nucleic acids. We profiled the copy number landscape of 356 breast cancer patients using DNA extracted FFPE tissues by shallow whole genome sequencing. We generated a total of 491 sequencing libraries from 2 kits and obtained data from 98.4% of libraries with 86.4% being of good quality. We generated libraries from as low as 3.8 ng of input DNA and found that the success was independent of input DNA amount and quality, processing site and age of the fixed tissues. Since copy number alterations (CNA) play a major role in breast cancer, it is imperative that we are able to use FFPE archives and we have shown in this study that sWGS is a robust method to do such profiling.

Exploring DNA quality of single cells for genome analysis with simultaneous whole-genome amplification

Single cell genome analysis methods are powerful tools to define features of single cells and to identify differences between them. Since the DNA amount of a single cell is very limited, cellular DNA usually needs to be amplified by whole-genome amplification before being subjected to further analysis. A single nucleus only contains two haploid genomes. Thus, any DNA damage that prevents amplification results in loss of damaged DNA sites and induces an amplification bias. Therefore, the assessment of single cell DNA quality is urgently required. As of today, there is no simple method to determine the quality of a single cell DNA in a manner that will still retain the entire cellular DNA for amplification and downstream analysis. Here, we describe a method for whole-genome amplification with simultaneous quality control of single cell DNA by using a competitive spike-in DNA template.

Quantification of massively parallel sequencing libraries - a comparative study of eight methods

Quantification of massively parallel sequencing libraries is important for acquisition of monoclonal beads or clusters prior to clonal amplification and to avoid large variations in library coverage when multiple samples are included in one sequencing analysis. No gold standard for quantification of libraries exists. We assessed eight methods of quantification of libraries by quantifying 54 amplicon, six capture, and six shotgun fragment libraries. Chemically synthesized double-stranded DNA was also quantified. Light spectrophotometry, i.e. NanoDrop, was found to give the highest concentration estimates followed by Qubit and electrophoresis-based instruments (Bioanalyzer, TapeStation, GX Touch, and Fragment Analyzer), while SYBR Green and TaqMan based qPCR assays gave the lowest estimates. qPCR gave more accurate predictions of sequencing coverage than Qubit and TapeStation did. Costs, time-consumption, workflow simplicity, and ability to quantify multiple samples are discussed. Technical specifications, advantages, and disadvantages of the various methods are pointed out.

A straightforward assay to evaluate DNA integrity and optimize next-generation sequencing for clinical diagnosis in oncology

Next generation sequencing (NGS) has become an informative tool to guide cancer treatment and conduce a personalized approach in oncology. The biopsy collected for pathologic analysis is usually stored as formalin-fixed paraffin-embedded (FFPE) blocks and then availed for molecular diagnostic, resulting in DNA molecules that are invariably fragmented and chemically modified. In an attempt to improve NGS based diagnostics in oncology we developed a straightforward DNA integrity assessment assay based on qPCR, defining clear parameters to whether NGS sequencing results is accurate or when it should be analyzed with caution. We performed DNA extraction from 12 tumor samples from diverse tissues and accessed DNA integrity by straightforward qPCR assays. In order to perform a cancer panel NGS sequencing, DNA library preparation was performed using RNA capture baits. Reads were aligned to the reference human genome and mutation calls were further validated by Sanger sequencing. Results obtained by the DNA integrity assays correlated to the efficiency of the pre-capture library preparation in up to 0.94 (Pearson's test). Moreover, sequencing results showed that poor integrity DNA leads to high rates of false positive mutation calls, specially C:G>T:A and C:G>A:T. Poor quality FFPE DNA samples are prone to generating false positive mutation calls. These are especially perilous in cases in which subclonal populations are expected, such as in advance disease, since it could lead clinicians to erroneous conclusions and equivocated conduct.