DNA and RNA next generation sequencing for personalizing cancer treatment: A single-center experience.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e13509-e13509
Author(s):  
Joseba Rebollo ◽  
Manuel Sureda ◽  
Ramón González-Manzano ◽  
Elena Ma Martínez ◽  
Roman Rostagno ◽  
...  

e13509 Background: Personalized multidrug therapies improve outcomes in patients with drug resistant cancer. For 8 years we have been using microarray-based gene expression profiling (360 procedures) to improve drug selection (Rebollo J et al, 2017; Sureda M et al, 2018). Recently, we have adopted Ion Torrent DNA and RNA Next Generation Sequencing (NGS) to improve the target detection ability. Methods: Since March 2018 DNA (95 analyses) and whole trancriptome RNA (78 analyses) NGS have been performed using Ion Torrent GeneStudio S5 System in fresh-frozen (RNA and DNA sequencing) and paraffin-embedded (DNA sequencing) biopsies obtained from tru-cut or surgical excision procedures from patients with metastatic cancer. Favourable chemotherapy drug profile, treatable (available inhibitory drugs) targets and potentially favourable immunologic signature have been investigated. Results: All biopsies were valid for DNA sequencing but in five patients were invalid (less than 30% viable tumor cells required) for RNA sequencing. Combined DNA and RNA sequencing have been studied in sixty patients with advanced cancer biopsies. Histologies have been NSCLC (12 patents), Breast (9), STS (6), NHL (4), NET (4), Pancreas (4), CRC (4), Ovary/Fallopian tube (3), Prostate (2), Cholangiocarcinoma (2), H&N (2), Esophagus, Bladder, Uterus, Melanoma, SCLC, Anal, Kidney and Cervix (1 each). Most of the patients had been previously treated with systemic therapies. Biopsies have been taken from Lymph nodes (18 patients), Liver (16), Soft Tissues (14), Lung (8), Peritoneum (3) and Adrenal Gland (1). RNA sequencing has predicted favourable chemotherapy drug profile (Median 3 drugs, Range 1-9) in 54 (90%) patients. In addition, treatable targets (Median 3 targets, Range 1-6) have been found in 40 (67%) patients. Favourable immunologic signature has been found in 22 (37%) patients. DNA sequencing has shown treatable (drug available) targets in 14 (23%) patients. In 12 (20%) patients, no targets have been found in any of the sequencing protocols (DNA and RNA). Conclusions: Tumor RNA and DNA sequencing provide potential useful information in personalized cancer treatment decision in a vast majority of advanced cancer patients independent of treatment status.

Author(s):  
Dragana Dudić ◽  
Bojana Banović Đeri ◽  
Vesna Pajić ◽  
Gordana Pavlović-Lažetić

Next Generation Sequencing (NGS) analysis has become a widely used method for studying the structure of DNA and RNA, but complexity of the procedure leads to obtaining error-prone datasets which need to be cleansed in order to avoid misinterpretation of data. We address the usage and proper interpretations of characteristic metrics for RNA sequencing (RNAseq) quality control, implemented in and reported by FastQC, and provide a comprehensive guidance for their assessment in the context of total RNAseq quality control of Illumina raw reads. Additionally, we give recommendations how to adequately perform the quality control preprocessing step of raw total RNAseq Illumina reads according to the obtained results of the quality control evaluation step; the aim is to provide the best dataset to downstream analysis, rather than to get better FastQC results. We also tested effects of different preprocessing approaches to the downstream analysis and recommended the most suitable approach.


2020 ◽  
Vol 16 ◽  
Author(s):  
Pelin Telkoparan-Akillilar ◽  
Dilek Cevik

Background: Numerous sequencing techniques have been progressed since the 1960s with the rapid development of molecular biology studies focusing on DNA and RNA. Methods: a great number of articles, book chapters, websites are reviewed, and the studies covering NGS history, technology and applications to cancer therapy are included in the present article. Results: High throughput next-generation sequencing (NGS) technologies offer many advantages over classical Sanger sequencing with decreasing cost per base and increasing sequencing efficiency. NGS technologies are combined with bioinformatics software to sequence genomes to be used in diagnostics, transcriptomics, epidemiologic and clinical trials in biomedical sciences. The NGS technology has also been successfully used in drug discovery for the treatment of different cancer types. Conclusion: This review focuses on current and potential applications of NGS in various stages of drug discovery process, from target identification through to personalized medicine.


2020 ◽  
Vol 48 (12) ◽  
pp. 030006052096777
Author(s):  
Peisong Chen ◽  
Xuegao Yu ◽  
Hao Huang ◽  
Wentao Zeng ◽  
Xiaohong He ◽  
...  

Introduction To evaluate a next-generation sequencing (NGS) workflow in the screening and diagnosis of thalassemia. Methods In this prospective study, blood samples were obtained from people undergoing genetic screening for thalassemia at our centre in Guangzhou, China. Genomic DNA was polymerase chain reaction (PCR)-amplified and sequenced using the Ion Torrent system and results compared with traditional genetic analyses. Results Of the 359 subjects, 148 (41%) were confirmed to have thalassemia. Variant detection identified 35 different types including the most common. Identification of the mutational sites by NGS were consistent with those identified by Sanger sequencing and Gap-PCR. The sensitivity and specificities of the Ion Torrent NGS were 100%. In a separate test of 16 samples, results were consistent when repeated ten times. Conclusion Our NGS workflow based on the Ion Torrent sequencer was successful in the detection of large deletions and non-deletional defects in thalassemia with high accuracy and repeatability.


Diagnostics ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 391
Author(s):  
Shuji Murakami ◽  
Tomoyuki Yokose ◽  
Daiji Nemoto ◽  
Masaki Suzuki ◽  
Ryou Usui ◽  
...  

A sufficiently large tissue sample is required to perform next-generation sequencing (NGS) with a high success rate, but the majority of patients with advanced non-small-cell lung cancer (NSCLC) are diagnosed with small biopsy specimens. Biopsy samples were collected from 184 patients with bronchoscopically diagnosed NSCLC. The tissue surface area, tumor cell count, and tumor content rate of each biopsy sample were evaluated. The impact of the cut-off criteria for the tissue surface area (≥1 mm2) and tumor content rate (≥30%) on the success rate of the Oncomine Dx Target Test (ODxTT) was evaluated. The mean tissue surface area of the transbronchial biopsies was 1.23 ± 0.85 mm2 when small endobronchial ultrasonography with a guide sheath (EBUS-GS) was used, 2.16 ± 1.49 mm2 with large EBUS-GS, and 1.81 ± 0.75 mm2 with endobronchial biopsy (EBB). The proportion of samples with a tissue surface area of ≥1 mm2 was 48.8% for small EBUS-GS, 79.2% for large EBUS-GS, and 78.6% for EBB. Sixty-nine patients underwent ODxTT. The success rate of DNA sequencing was 84.1% and that of RNA sequencing was 92.7% over all patients. The success rate of DNA (RNA) sequencing was 57.1% (71.4%) for small EBUS-GS (n = 14), 93.4% (96.9%) for large EBUS-GS (n = 32), 62.5% (100%) for EBB (n = 8), and 100% (100%) for endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA) (n = 15). Regardless of the device used, a tissue surface area of ≥ 1 mm2 is adequate for samples to be tested with NGS.


2009 ◽  
Vol 55 (4) ◽  
pp. 641-658 ◽  
Author(s):  
Karl V Voelkerding ◽  
Shale A Dames ◽  
Jacob D Durtschi

Abstract Background: For the past 30 years, the Sanger method has been the dominant approach and gold standard for DNA sequencing. The commercial launch of the first massively parallel pyrosequencing platform in 2005 ushered in the new era of high-throughput genomic analysis now referred to as next-generation sequencing (NGS). Content: This review describes fundamental principles of commercially available NGS platforms. Although the platforms differ in their engineering configurations and sequencing chemistries, they share a technical paradigm in that sequencing of spatially separated, clonally amplified DNA templates or single DNA molecules is performed in a flow cell in a massively parallel manner. Through iterative cycles of polymerase-mediated nucleotide extensions or, in one approach, through successive oligonucleotide ligations, sequence outputs in the range of hundreds of megabases to gigabases are now obtained routinely. Highlighted in this review are the impact of NGS on basic research, bioinformatics considerations, and translation of this technology into clinical diagnostics. Also presented is a view into future technologies, including real-time single-molecule DNA sequencing and nanopore-based sequencing. Summary: In the relatively short time frame since 2005, NGS has fundamentally altered genomics research and allowed investigators to conduct experiments that were previously not technically feasible or affordable. The various technologies that constitute this new paradigm continue to evolve, and further improvements in technology robustness and process streamlining will pave the path for translation into clinical diagnostics.


2018 ◽  
Vol 56 (9) ◽  
Author(s):  
Patricia J. Simner ◽  
Heather B. Miller ◽  
Florian P. Breitwieser ◽  
Gabriel Pinilla Monsalve ◽  
Carlos A. Pardo ◽  
...  

ABSTRACT The purpose of this study was to develop and optimize different processing, extraction, amplification, and sequencing methods for metagenomic next-generation sequencing (mNGS) of cerebrospinal fluid (CSF) specimens. We applied mNGS to 10 CSF samples with known standard-of-care testing (SoC) results (8 positive and 2 negative). Each sample was subjected to nine different methods by varying the sample processing protocols (supernatant, pellet, neat CSF), sample pretreatment (with or without bead beating), and the requirement of nucleic acid amplification steps using DNA sequencing (DNASeq) (with or without whole-genome amplification [WGA]) and RNA sequencing (RNASeq) methods. Negative extraction controls (NECs) were used for each method variation (4/CSF sample). Host depletion (HD) was performed on a subset of samples. We correctly determined the pathogen in 7 of 8 positive samples by mNGS compared to SoC. The two negative samples were correctly interpreted as negative. The processing protocol applied to neat CSF specimens was found to be the most successful technique for all pathogen types. While bead beating introduced bias, we found it increased the detection yield of certain organism groups. WGA prior to DNASeq was beneficial for defining pathogens at the positive threshold, and a combined DNA and RNA approach yielded results with a higher confidence when detected by both methods. HD was required for detection of a low-level-positive enterovirus sample. We demonstrate that NECs are required for interpretation of these complex results and that it is important to understand the common contaminants introduced during mNGS. Optimizing mNGS requires the use of a combination of techniques to achieve the most sensitive, agnostic approach that nonetheless may be less sensitive than SoC tools.


2016 ◽  
Vol 27 (9) ◽  
pp. 899-907 ◽  
Author(s):  
Tal Grenader ◽  
Rachel Tauber ◽  
Linda Shavit

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 4659-4659
Author(s):  
Ian Duncan ◽  
Natalie Danziger ◽  
Daniel Duncan ◽  
Amanda Hemmerich ◽  
Claire Edgerly ◽  
...  

BACKGROUND: Comprehensive genomic profiling (CGP) performed by next-generation sequencing of DNA detects genomic alterations including point mutations, insertions/deletions, copy number variations, and select gene rearrangements. When RNA sequencing is included in CGP, it allows for expanded detection of gene fusions, which are common in hematologic malignancies and sarcomas. When such tumors involve bone, a decalcification step is frequently employed to soften tissues prior to processing and sectioning. While commonly used acid-based decalcification methods work quickly, the resulting nucleic acid damage can be profound. In this study, we examine the effects of decalcification on DNA and RNA sequencing in the clinical setting. DESIGN: 1711 consecutive formalin-fixed paraffin embedded samples were evaluated by CGP during routine clinical care via DNA and RNA sequencing, using a hybrid-capture next-generation sequencing assay (FoundationOne®Heme). Specimen site [e.g. bone/ bone marrow or soft tissue] and decalcification status were extracted from pathology reports and H&E review. Samples were considered decalcified if reported as such in the pathology report or if visible decalcified bone was present on the H&E. Samples documented to be processed with fixatives other than formalin were excluded. Sequencing failures were defined as samples that failed DNA extraction (DNAx), RNA extraction (RNAx), or library construction (LC) due to insufficient nucleic acid to advance into sequencing. Samples were only evaluated for RNA if DNAx was successful (1594 cases). RESULTS: Specimen site was a strong predictor of sequencing failure, with a significant increase in failure rate from bone/bone marrow samples (n=619) compared to samples from soft tissue sites (n=1092) for both DNA (13.4% vs 4.6%, p=4.7E-9) and RNA (42.5% vs 13.5%, p<2.2E-16). Of the bone/bone marrow samples, 237 of 619 samples were decalcified. Decalcification was associated with significantly higher failure rates than non-decalcified samples for both DNA (29.1% vs 3.7%) and RNA (67.4% vs 30.8%) (Table 2). One method of avoiding decalcification for bone marrow samples is utilization of clot preparations, where aspirates are processed as an FFPE block. Clot preparations fail sequencing significantly less often than decalcified core biopsies (DNA: 3.3% vs 18.8%, p=9.2E-06; RNA: 39.2% vs 70.4%, p=2.5E-03) (Table 3). CONCLUSIONS: CGP of samples acquired from bone and bone marrow sites is challenging, with a lower success rate for DNA and RNA sequencing than soft tissue sites. The higher overall failure rate correlates with use of decalcification agents leading to degradation of nucleic acids and impacts RNA sequencing significantly more than DNA (67.4% vs 30.8% failed). Clot preparations of bone marrow samples performed better than core biopsies for both DNA and RNA. The higher overall RNA sequencing failure rates still observed in in non-decalcified bone/bone marrow are predominantly due to RNA failure of non-decalcified clot preparations. These samples likely have increased failure rates secondary the use of non-standard fixatives (e.g. B+, Bouin's, AZF, etc.) not documented in the pathology report and the frequency of hypocellular clot preparations in conjunction with higher requirements for RNA yield compared to DNA yield. To increase CGP success rates, decalcification should be avoided when possible. Peripheral blood and bone marrow aspirate samples rarely fail sequencing (<1%, data not shown) and are preferable to decalcified samples if adequate tumor is present. Bone marrow clot preparations perform better than bone marrow core biopsies and clot preparations should be fixed with 10% neutral buffered formalin. If decalcification is required for processing, EDTA based decalcification methods and/or minimizing decalcification times is recommended. Disclosures Duncan: Foundation Medicine, Inc.: Employment. Danziger:Foundation Medicine, Inc.: Employment; F. Hoffman La Roche, Ltd.: Equity Ownership. Duncan:Foundation Medicine, Inc.: Employment; F. Hoffman La Roche, Ltd.: Equity Ownership. Hemmerich:F. Hoffman La Roche, Ltd.: Equity Ownership; Foundation Medicine, Inc.: Employment. Edgerly:F. Hoffman La Roche, Ltd.: Equity Ownership; Foundation Medicine, Inc: Employment. Huang:F. Hoffman La Roche, Ltd.: Equity Ownership; Foundation Medicine, Inc.: Employment. Vergilio:Foundation Medicine, Inc.: Employment; F. Hoffman La Roche, Ltd.: Equity Ownership. Elvin:Foundation Medicine, Inc.: Employment; F. Hoffman La Roche, Ltd.: Equity Ownership. He:Foundation Medicine, Inc.: Employment; F. Hoffman La Roche, Ltd.: Equity Ownership. Britt:Foundation Medicine, Inc: Employment. Reddy:F. Hoffman La Roche, Ltd.: Equity Ownership; Foundation Medicine, Inc: Employment. Sathyan:Foundation Medicine, Inc.: Employment; F. Hoffman La Roche, Ltd.: Equity Ownership. Alexander:Foundation Medicine, Inc.: Employment; F. Hoffman La Roche, Ltd.: Equity Ownership. Ross:F. Hoffman La Roche, Ltd.: Equity Ownership; Foundation Medicine, Inc.: Employment. Brown:Foundation Medicine, Inc.: Employment; F. Hoffman La Roche, Ltd.: Equity Ownership. Ramkissoon:F. Hoffman La Roche, Ltd.: Equity Ownership; Foundation Medicine, Inc.: Employment. Severson:F. Hoffman La Roche, Ltd.: Equity Ownership; Foundation Medicine, Inc.: Employment.


2021 ◽  
Author(s):  
Meifang Qi ◽  
Utthara Nayar ◽  
Leif Ludwig ◽  
Nikhil Wagle ◽  
Esther Rheinbay

Exogenous cDNA introduced into an experimental system, either intentionally or accidentally, can appear as added read coverage over that gene in next-generation sequencing libraries derived from this system. If not properly recognized and managed, this cross-contamination with exogenous signal can lead to incorrect interpretation of research results. Yet, this problem is not routinely addressed in current sequence processing pipelines. Here, we present cDNA-detector, a computational tool to identify and remove exogenous cDNA contamination in DNA sequencing experiments. We apply cDNA-detector to several highly-cited public databases (TCGA, ENCODE, NCBI SRA) and show that contaminant genes appear in sequencing experiments where they lead to incorrect coverage peak calls. Our findings highlight the importance of sensitive detection and removal of contaminant cDNA from NGS libraries before downstream analysis.


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