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Allender CJ, Wike C, Ellis D, Lemmer D, Porter T, Pond SJK, Engelthaler DM. Sequencing by Binding rivals error-corrected Sequencing by Synthesis technology for accurate detection and quantification of minor (<0.1%) subpopulation variants. RESEARCH SQUARE 2024:rs.3.rs-4391713. [PMID: 38826386 PMCID: PMC11142358 DOI: 10.21203/rs.3.rs-4391713/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2024]
Abstract
Detecting very minor (< 1%) subpopulations using next-generation sequencing is a critical need for multiple applications including detection of drug resistant pathogens and somatic variant detection in oncology. To enable these applications, wet lab enhancements and bioinformatic error correction methods have been developed for 'sequencing by synthesis' technology to reduce its inherent sequencing error rate. A recently available sequencing approach termed 'sequencing by binding' claims to have higher base calling accuracy data "out of the box." This paper evaluates the utility of using 'sequencing by binding' for the detection of ultra-rare subpopulations down to 0.001%.
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Affiliation(s)
| | | | - Dean Ellis
- Translational Genomics Research Institute
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2
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Wu G, Song M, Wang K, Cui T, Jiao Z, Ji L, Gao X, Wang J, Liu T, Xia X, Fang H, Guan Y, Yi X. DELFMUT: duplex sequencing-oriented depth estimation model for stable detection of low-frequency mutations. Brief Bioinform 2023; 24:bbad277. [PMID: 37539831 DOI: 10.1093/bib/bbad277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2023] [Revised: 06/29/2023] [Accepted: 07/13/2023] [Indexed: 08/05/2023] Open
Abstract
Duplex sequencing technology has been widely used in the detection of low-frequency mutations in circulating tumor deoxyribonucleic acid (DNA), but how to determine the sequencing depth and other experimental parameters to ensure the stable detection of low-frequency mutations is still an urgent problem to be solved. The mutation detection rules of duplex sequencing constrain not only the number of mutated templates but also the number of mutation-supportive reads corresponding to each forward and reverse strand of the mutated templates. To tackle this problem, we proposed a Depth Estimation model for stable detection of Low-Frequency MUTations in duplex sequencing (DELFMUT), which models the identity correspondence and quantitative relationships between templates and reads using the zero-truncated negative binomial distribution without considering the sequences composed of bases. The results of DELFMUT were verified by real duplex sequencing data. In the case of known mutation frequency and mutation detection rule, DELFMUT can recommend the combinations of DNA input and sequencing depth to guarantee the stable detection of mutations, and it has a great application value in guiding the experimental parameter setting of duplex sequencing technology.
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Affiliation(s)
- Guiying Wu
- Geneplus-Beijing Institute, Beijing 102206, P. R. China
| | - Mengmeng Song
- Geneplus-Beijing Institute, Beijing 102206, P. R. China
| | - Ke Wang
- Geneplus-Beijing Institute, Beijing 102206, P. R. China
- School of Computer Science and Technology, Xi'an Jiaotong University, Xi'an, China
| | - Tianyu Cui
- Geneplus-Beijing Institute, Beijing 102206, P. R. China
| | - Zicong Jiao
- Geneplus-Beijing Institute, Beijing 102206, P. R. China
| | - Liyan Ji
- Geneplus-Beijing Institute, Beijing 102206, P. R. China
| | - Xuan Gao
- Geneplus-Beijing Institute, Beijing 102206, P. R. China
| | - Jiayin Wang
- School of Computer Science and Technology, Xi'an Jiaotong University, Xi'an, China
| | - Tao Liu
- Geneplus-Beijing Institute, Beijing 102206, P. R. China
| | - Xuefeng Xia
- Geneplus-Beijing Institute, Beijing 102206, P. R. China
| | - Huan Fang
- Geneplus-Beijing Institute, Beijing 102206, P. R. China
| | - Yanfang Guan
- Geneplus-Beijing Institute, Beijing 102206, P. R. China
- School of Computer Science and Technology, Xi'an Jiaotong University, Xi'an, China
| | - Xin Yi
- Geneplus-Beijing Institute, Beijing 102206, P. R. China
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3
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Menon V, Brash DE. Next-generation sequencing methodologies to detect low-frequency mutations: "Catch me if you can". MUTATION RESEARCH. REVIEWS IN MUTATION RESEARCH 2023; 792:108471. [PMID: 37716438 PMCID: PMC10843083 DOI: 10.1016/j.mrrev.2023.108471] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 09/06/2023] [Accepted: 09/07/2023] [Indexed: 09/18/2023]
Abstract
Mutations, the irreversible changes in an organism's DNA sequence, are present in tissues at a variant allele frequency (VAF) ranging from ∼10-8 per bp for a founder mutation to ∼10-3 for a histologically normal tissue sample containing several independent clones - compared to 1%- 50% for a heterozygous tumor mutation or a polymorphism. The rarity of these events poses a challenge for accurate clinical diagnosis and prognosis, toxicology, and discovering new disease etiologies. Standard Next-Generation Sequencing (NGS) technologies report VAFs as low as 0.5% per nt, but reliably observing rarer precursor events requires additional sophistication to measure ultralow-frequency mutations. We detail the challenge; define terms used to characterize the results, which vary between laboratories and sometimes conflict between biologists and bioinformaticists; and describe recent innovations to improve standard NGS methodologies including: single-strand consensus sequence methods such as Safe-SeqS and SiMSen-Seq; tandem-strand consensus sequence methods such as o2n-Seq and SMM-Seq; and ultrasensitive parent-strand consensus sequence methods such as DuplexSeq, PacBio HiFi, SinoDuplex, OPUSeq, EcoSeq, BotSeqS, Hawk-Seq, NanoSeq, SaferSeq, and CODEC. Practical applications are also noted. Several methods quantify VAF down to 10-5 at a nt and mutation frequency (MF) in a target region down to 10-7 per nt. By expanding to > 1 Mb of sites never observed twice, thus forgoing VAF, other methods quantify MF < 10-9 per nt or < 15 errors per haploid genome. Clonal expansion cannot be directly distinguished from independent mutations by sequencing, so it is essential for a paper to report whether its MF counted only different mutations - the minimum independent-mutation frequency MFminI - or all mutations observed including recurrences - the larger maximum independent-mutation frequency MFmaxI which may reflect clonal expansion. Ultrasensitive methods reveal that, without their use, even mutations with VAF 0.5-1% are usually spurious.
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Affiliation(s)
- Vijay Menon
- Department of Therapeutic Radiology, Yale School of Medicine, New Haven, CT 06520-8040, USA.
| | - Douglas E Brash
- Department of Therapeutic Radiology, Yale School of Medicine, New Haven, CT 06520-8040, USA; Department of Dermatology, Yale School of Medicine, New Haven, CT 06520-8059, USA; Yale Cancer Center, Yale School of Medicine, New Haven, CT 06520-8028, USA.
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Corvigno S, Johnson AM, Wong KK, Cho MS, Afshar-Kharghan V, Menter DG, Sood AK. Novel Markers for Liquid Biopsies in Cancer Management: Circulating Platelets and Extracellular Vesicles. Mol Cancer Ther 2022; 21:1067-1075. [PMID: 35545008 DOI: 10.1158/1535-7163.mct-22-0087] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Revised: 04/05/2022] [Accepted: 05/05/2022] [Indexed: 02/03/2023]
Abstract
Although radiologic imaging and histologic assessment of tumor tissues are classic approaches for diagnosis and monitoring of treatment response, they have many limitations. These include challenges in distinguishing benign from malignant masses, difficult access to the tumor, high cost of the procedures, and tumor heterogeneity. In this setting, liquid biopsy has emerged as a potential alternative for both diagnostic and monitoring purposes. The approaches to liquid biopsy include cell-free DNA/circulating tumor DNA, long and micro noncoding RNAs, proteins/peptides, carbohydrates/lectins, lipids, and metabolites. Other approaches include detection and analysis of circulating tumor cells, extracellular vesicles, and tumor-activated platelets. Ultimately, reliable use of liquid biopsies requires bioinformatics and statistical integration of multiple datasets to achieve approval in a Clinical Laboratory Improvement Amendments setting. This review provides a balanced and critical assessment of recent discoveries regarding tumor-derived biomarkers in liquid biopsies along with the potential and pitfalls for cancer detection and longitudinal monitoring.
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Affiliation(s)
- Sara Corvigno
- Department of Gynecologic Oncology & Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Anna Maria Johnson
- Department of Gynecologic Oncology & Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Kwong-Kwok Wong
- Department of Gynecologic Oncology & Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas.,The University of Texas Graduate School of Biomedical Sciences at Houston, Houston, Texas
| | - Min Soon Cho
- Division of Internal Medicine, Benign Hematology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Vahid Afshar-Kharghan
- Division of Internal Medicine, Benign Hematology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - David G Menter
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Anil K Sood
- Department of Gynecologic Oncology & Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas.,Center for RNA Interference and Non-Coding RNA, The University of Texas MD Anderson Cancer Center, Houston, Texas
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Alekseenko A, Wang J, Barrett D, Pelechano V. OPUSeq simplifies detection of low-frequency DNA variants and uncovers fragmentase-associated artifacts. NAR Genom Bioinform 2022; 4:lqac048. [PMID: 35769342 PMCID: PMC9235115 DOI: 10.1093/nargab/lqac048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Accepted: 06/15/2022] [Indexed: 11/13/2022] Open
Abstract
Detection of low-frequency DNA variants (below 1%) is becoming increasingly important in biomedical research and clinical practice, but is challenging to do with standard sequencing approaches due to high error rates. The use of double-stranded unique molecular identifiers (dsUMIs) allows correction of errors by comparing reads arising from the same original DNA duplex. However, the implementation of such approaches is still challenging. Here, we present a novel method, one-pot dsUMI sequencing (OPUSeq), which allows incorporation of dsUMIs in the same reaction as the library PCR. This obviates the need for adapter pre-synthesis or additional enzymatic steps. OPUSeq can be incorporated into standard DNA library preparation approaches and coupled with hybridization target capture. We demonstrate successful error correction and detection of variants down to allele frequency of 0.01%. Using OPUSeq, we also show that the use of enzymatic fragmentation can lead to the appearance of spurious double-stranded variants, interfering with detection of variant fractions below 0.1%.
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Affiliation(s)
- Alisa Alekseenko
- SciLifeLab, Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Tomtebodavägen 23A, 17165, Solna, Sweden
| | - Jingwen Wang
- SciLifeLab, Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Tomtebodavägen 23A, 17165, Solna, Sweden
| | - Donal Barrett
- SciLifeLab, Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Tomtebodavägen 23A, 17165, Solna, Sweden
| | - Vicent Pelechano
- SciLifeLab, Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Tomtebodavägen 23A, 17165, Solna, Sweden
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Mitiushkina NV, Yanus GA, Kuligina ES, Laidus TA, Romanko AA, Kholmatov MM, Ivantsov AO, Aleksakhina SN, Imyanitov EN. Preparation of Duplex Sequencing Libraries for Archival Paraffin-Embedded Tissue Samples Using Single-Strand-Specific Nuclease P1. Int J Mol Sci 2022; 23:4586. [PMID: 35562977 PMCID: PMC9105346 DOI: 10.3390/ijms23094586] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2022] [Revised: 04/18/2022] [Accepted: 04/19/2022] [Indexed: 12/04/2022] Open
Abstract
DNA from formalin-fixed paraffin-embedded (FFPE) tissues, which are frequently utilized in cancer research, is significantly affected by chemical degradation. It was suggested that approaches that are based on duplex sequencing can significantly improve the accuracy of mutation detection in FFPE-derived DNA. However, the original duplex sequencing method cannot be utilized for the analysis of formalin-fixed paraffin-embedded (FFPE) tissues, as FFPE DNA contains an excessive number of damaged bases, and these lesions are converted to false double-strand nucleotide substitutions during polymerase-driven DNA end repair process. To resolve this drawback, we replaced DNA polymerase by a single strand-specific nuclease P1. Nuclease P1 was shown to efficiently remove RNA from DNA preparations, to fragment the FFPE-derived DNA and to remove 5'/3'-overhangs. To assess the performance of duplex sequencing-based methods in FFPE-derived DNA, we constructed the Bottleneck Sequencing System (BotSeqS) libraries from five colorectal carcinomas (CRCs) using either DNA polymerase or nuclease P1. As expected, the number of identified mutations was approximately an order of magnitude higher in libraries prepared with DNA polymerase vs. nuclease P1 (626 ± 167/Mb vs. 75 ± 37/Mb, paired t-test p-value 0.003). Furthermore, the use of nuclease P1 but not polymerase-driven DNA end repair allowed a reliable discrimination between CRC tumors with and without hypermutator phenotypes. The utility of newly developed modification was validated in the collection of 17 CRCs and 5 adjacent normal tissues. Nuclease P1 can be recommended for the use in duplex sequencing library preparation from FFPE-derived DNA.
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Affiliation(s)
- Natalia V. Mitiushkina
- Department of Tumor Growth Biology, N.N. Petrov Institute of Oncology, 197758 St.-Petersburg, Russia; (N.V.M.); (G.A.Y.); (E.S.K.); (T.A.L.); (A.A.R.); (M.M.K.); (A.O.I.); (S.N.A.)
| | - Grigory A. Yanus
- Department of Tumor Growth Biology, N.N. Petrov Institute of Oncology, 197758 St.-Petersburg, Russia; (N.V.M.); (G.A.Y.); (E.S.K.); (T.A.L.); (A.A.R.); (M.M.K.); (A.O.I.); (S.N.A.)
- Department of Medical Genetics, St.-Petersburg Pediatric Medical University, 194100 St.-Petersburg, Russia
| | - Ekatherina Sh. Kuligina
- Department of Tumor Growth Biology, N.N. Petrov Institute of Oncology, 197758 St.-Petersburg, Russia; (N.V.M.); (G.A.Y.); (E.S.K.); (T.A.L.); (A.A.R.); (M.M.K.); (A.O.I.); (S.N.A.)
| | - Tatiana A. Laidus
- Department of Tumor Growth Biology, N.N. Petrov Institute of Oncology, 197758 St.-Petersburg, Russia; (N.V.M.); (G.A.Y.); (E.S.K.); (T.A.L.); (A.A.R.); (M.M.K.); (A.O.I.); (S.N.A.)
| | - Alexandr A. Romanko
- Department of Tumor Growth Biology, N.N. Petrov Institute of Oncology, 197758 St.-Petersburg, Russia; (N.V.M.); (G.A.Y.); (E.S.K.); (T.A.L.); (A.A.R.); (M.M.K.); (A.O.I.); (S.N.A.)
| | - Maksim M. Kholmatov
- Department of Tumor Growth Biology, N.N. Petrov Institute of Oncology, 197758 St.-Petersburg, Russia; (N.V.M.); (G.A.Y.); (E.S.K.); (T.A.L.); (A.A.R.); (M.M.K.); (A.O.I.); (S.N.A.)
| | - Alexandr O. Ivantsov
- Department of Tumor Growth Biology, N.N. Petrov Institute of Oncology, 197758 St.-Petersburg, Russia; (N.V.M.); (G.A.Y.); (E.S.K.); (T.A.L.); (A.A.R.); (M.M.K.); (A.O.I.); (S.N.A.)
- Department of Medical Genetics, St.-Petersburg Pediatric Medical University, 194100 St.-Petersburg, Russia
| | - Svetlana N. Aleksakhina
- Department of Tumor Growth Biology, N.N. Petrov Institute of Oncology, 197758 St.-Petersburg, Russia; (N.V.M.); (G.A.Y.); (E.S.K.); (T.A.L.); (A.A.R.); (M.M.K.); (A.O.I.); (S.N.A.)
| | - Evgeny N. Imyanitov
- Department of Tumor Growth Biology, N.N. Petrov Institute of Oncology, 197758 St.-Petersburg, Russia; (N.V.M.); (G.A.Y.); (E.S.K.); (T.A.L.); (A.A.R.); (M.M.K.); (A.O.I.); (S.N.A.)
- Department of Medical Genetics, St.-Petersburg Pediatric Medical University, 194100 St.-Petersburg, Russia
- Department of Oncology, I.I. Mechnikov North-Western Medical University, 191015 St.-Petersburg, Russia
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Bohers E, Viailly PJ, Jardin F. cfDNA Sequencing: Technological Approaches and Bioinformatic Issues. Pharmaceuticals (Basel) 2021; 14:ph14060596. [PMID: 34205827 PMCID: PMC8234829 DOI: 10.3390/ph14060596] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Revised: 06/18/2021] [Accepted: 06/18/2021] [Indexed: 12/14/2022] Open
Abstract
In the era of precision medicine, it is crucial to identify molecular alterations that will guide the therapeutic management of patients. In this context, circulating tumoral DNA (ctDNA) released by the tumor in body fluids, like blood, and carrying its molecular characteristics is becoming a powerful biomarker for non-invasive detection and monitoring of cancer. Major recent technological advances, especially in terms of sequencing, have made possible its analysis, the challenge still being its reliable early detection. Different parameters, from the pre-analytical phase to the choice of sequencing technology and bioinformatic tools can influence the sensitivity of ctDNA detection.
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Gómez-Peregrina D, García-Valverde A, Pilco-Janeta D, Serrano C. Liquid Biopsy in Gastrointestinal Stromal Tumors: Ready for Prime Time? Curr Treat Options Oncol 2021; 22:32. [PMID: 33641024 DOI: 10.1007/s11864-021-00832-5] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/18/2021] [Indexed: 02/07/2023]
Abstract
OPINION STATEMENT Gastrointestinal stromal tumor (GIST) constitutes a paradigm for clinically effective targeted inhibition of oncogenic driver mutations. Therefore, GIST has emerged as a compelling clinical and biological model to study oncogene addiction and to validate preclinical concepts for drug response and drug resistance. Oncogenic activation of KIT or PDGFRA receptor tyrosine kinases is the essential drivers of GIST progression throughout all stages of the disease. Interestingly, KIT/PDGFRA genotype predicts the response to first-line imatinib and to all tyrosine kinase inhibitors (TKIs) approved or in investigation after imatinib failure. Considering that TKIs are effective only against a subset of KIT or PDGFRA resistance mutations, close monitoring of tumor dynamics with non-invasive methods such as liquid biopsy emerges as a necessary step forward in the field. Liquid biopsy, in contrast to solid tumor biopsy, aims to characterize tumors irrespective of heterogeneity. Although there are several components in the peripheral blood, most recent studies have been focused on circulating tumor (ct)DNA, due to the technological feasibility, the stability of DNA itself and DNA alterations, and the therapeutic development in precision oncology largely based on the identification of genetic driver mutations. In the present review, we systematically dissect the current wealth of data of ctDNA in GIST. To do so, a critical understanding of the promises and limitations of the current technologies will be followed by an exposition of the knowledge gathered with such studies in GIST. Collectively, our goal is to establish clear premises that can be used as the foundations to build future studies towards the clinical implementation of ctDNA evaluation in GIST patients.
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Affiliation(s)
- David Gómez-Peregrina
- Sarcoma Translational Research Laboratory, Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron Hospital Campus, C/ Natzaret 115-117, 08035, Barcelona, Spain
| | - Alfonso García-Valverde
- Sarcoma Translational Research Laboratory, Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron Hospital Campus, C/ Natzaret 115-117, 08035, Barcelona, Spain
| | - Daniel Pilco-Janeta
- Sarcoma Translational Research Laboratory, Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron Hospital Campus, C/ Natzaret 115-117, 08035, Barcelona, Spain
| | - César Serrano
- Sarcoma Translational Research Laboratory, Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron Hospital Campus, C/ Natzaret 115-117, 08035, Barcelona, Spain. .,Department of Medical Oncology, Vall d'Hebron University Hospital, P/Vall d'Hebron 119, 08035, Barcelona, Spain.
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