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Si Y, Wang X, Su X, Weng Z, Hu Q, Li Q, Fan C, Zhang DY, Wang Y, Luo S, Song P. Extended Enrichment for Ultrasensitive Detection of Low-Frequency Mutations by Long Blocker Displacement Amplification. Angew Chem Int Ed Engl 2024; 63:e202400551. [PMID: 38416545 DOI: 10.1002/anie.202400551] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Revised: 02/26/2024] [Accepted: 02/26/2024] [Indexed: 02/29/2024]
Abstract
Detecting low-frequency DNA mutations hotspots cluster is critical for cancer diagnosis but remains challenging. Quantitative PCR (qPCR) is constrained by sensitivity, and allele-specific PCR is restricted by throughput. Here we develop a long blocker displacement amplification (LBDA) coupled with qPCR for ultrasensitive and multiplexed variants detection. By designing long blocker oligos to perfectly match wildtype sequences while mispairing with mutants, long blockers enable 14-44 nt enrichment regions which is 2-fold longer than normal BDA in the experiments. For wild template with a specific nucleotide, LBDA can detect different mutation types down to 0.5 % variant allele frequency (VAF) in one reaction, with median enrichment fold of 1,000 on 21 mutant DNA templates compared to the wild type. We applied LBDA-qPCR to detect KRAS and NRAS mutation hotspots, utilizing a single plex assay capable of covering 81 mutations and tested in synthetic templates and colorectal cancer tissue samples. Moreover, the mutation types were verified through Sanger sequencing, demonstrating concordance with results obtained from next generation sequencing. Overall, LBDA-qPCR provides a simple yet ultrasensitive approach for multiplexed detection of low VAF mutations hotspots, presenting a powerful tool for cancer diagnosis and monitoring.
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Affiliation(s)
- Yunpei Si
- School of Biomedical Engineering, Zhangjiang Institute for Advanced Study and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Xiawen Wang
- School of Biomedical Engineering, Zhangjiang Institute for Advanced Study and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Xinglei Su
- School of Biomedical Engineering, Zhangjiang Institute for Advanced Study and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai, 200240, China
- School of Life Sciences, Shanghai University, Shanghai, 200444, China
- Institute of Molecular Medicine (IMM) Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Zhi Weng
- School of Biomedical Engineering, Zhangjiang Institute for Advanced Study and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Qiongzheng Hu
- School of Pharmaceutical Sciences, Qilu University of Technology (Shandong Academy of Sciences), Jinan, 250014, China
| | - Qian Li
- School of Chemistry and Chemical Engineering, New Cornerstone Science Laboratory, Frontiers Science Center for Transformative Molecules, Zhangjiang Institute for Advanced Study and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Chunhai Fan
- School of Chemistry and Chemical Engineering, New Cornerstone Science Laboratory, Frontiers Science Center for Transformative Molecules, Zhangjiang Institute for Advanced Study and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai, 200240, China
| | | | - Yunshan Wang
- Department of Clinical Laboratory, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, Shandong, China
| | - Shihua Luo
- Department of Traumatology, Rui Jin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200025, China
| | - Ping Song
- School of Biomedical Engineering, Zhangjiang Institute for Advanced Study and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai, 200240, China
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Craig DJ, Crawford EL, Chen H, Grogan EL, Deppen SA, Morrison T, Antic SL, Massion PP, Willey JC. TP53 mutation prevalence in normal airway epithelium as a biomarker for lung cancer risk. BMC Cancer 2023; 23:783. [PMID: 37612638 PMCID: PMC10464352 DOI: 10.1186/s12885-023-11266-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Accepted: 08/07/2023] [Indexed: 08/25/2023] Open
Abstract
BACKGROUND There is a need for biomarkers that improve accuracy compared with current demographic risk indices to detect individuals at the highest lung cancer risk. Improved risk determination will enable more effective lung cancer screening and better stratification of lung nodules into high or low-risk category. We previously reported discovery of a biomarker for lung cancer risk characterized by increased prevalence of TP53 somatic mutations in airway epithelial cells (AEC). Here we present results from a validation study in an independent retrospective case-control cohort. METHODS Targeted next generation sequencing was used to identify mutations within three TP53 exons spanning 193 base pairs in AEC genomic DNA. RESULTS TP53 mutation prevalence was associated with cancer status (P < 0.001). The lung cancer detection receiver operator characteristic (ROC) area under the curve (AUC) for the TP53 biomarker was 0.845 (95% confidence limits 0.749-0.942). In contrast, TP53 mutation prevalence was not significantly associated with age or smoking pack-years. The combination of TP53 mutation prevalence with PLCOM2012 risk score had an ROC AUC of 0.916 (0.846-0.986) and this was significantly higher than that for either factor alone (P < 0.03). CONCLUSIONS These results support the validity of the TP53 mutation prevalence biomarker and justify taking additional steps to assess this biomarker in AEC specimens from a prospective cohort and in matched nasal brushing specimens as a potential non-invasive surrogate specimen.
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Affiliation(s)
- Daniel J Craig
- University of Toledo College of Medicine, 3000 Arlington Ave, OH, 43614, Toledo, USA
| | - Erin L Crawford
- University of Toledo College of Medicine, 3000 Arlington Ave, OH, 43614, Toledo, USA
| | - Heidi Chen
- Vanderbilt University Medical Center, 1301 Medical Center Dr., TN, 37232, Nashville, USA
| | - Eric L Grogan
- Vanderbilt University Medical Center, 1301 Medical Center Dr., TN, 37232, Nashville, USA
- Tennessee Valley VA Healthcare System, 1310 24Th Avenue South, Nashville, TN, 37212, USA
| | - Steven A Deppen
- Vanderbilt University Medical Center, 1301 Medical Center Dr., TN, 37232, Nashville, USA
| | - Thomas Morrison
- Accugenomics Inc, 1410 Commonwealth Dr #105, Wilmington, NC, 28403, USA
| | - Sanja L Antic
- Vanderbilt University Medical Center, 1301 Medical Center Dr., TN, 37232, Nashville, USA
| | - Pierre P Massion
- Vanderbilt University Medical Center, 1301 Medical Center Dr., TN, 37232, Nashville, USA
| | - James C Willey
- University of Toledo College of Medicine, 3000 Arlington Ave, OH, 43614, Toledo, USA.
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Szapacs M, Jian W, Spellman D, Cunliffe J, Verburg E, Kaur S, Kellie J, Li W, Mehl J, Qian M, Qiu X, Sirtori FR, Rosenbaum AI, Sikorski T, Surapaneni S, Wang J, Wilson A, Zhang J, Xue Y, Post N, Huang Y, Goykhman D, Yuan L, Fang K, Casavant E, Chen L, Fu Y, Huang M, Ji A, Johnson J, Lassman M, Li J, Saad O, Sarvaiya H, Tao L, Wang Y, Zheng N, Dasgupta A, Abhari MR, Ishii-Watabe A, Saito Y, Mendes Fernandes DN, Bower J, Burns C, Carleton K, Cho SJ, Du X, Fjording M, Garofolo F, Kar S, Kavetska O, Kossary E, Lu Y, Mayer A, Palackal N, Salha D, Thomas E, Verhaeghe T, Vinter S, Wan K, Wang YM, Williams K, Woolf E, Yang L, Yang E, Bandukwala A, Hopper S, Maher K, Xu J, Brodsky E, Cludts I, Irwin C, Joseph J, Kirshner S, Manangeeswaran M, Maxfield K, Pedras-Vasconcelos J, Solstad T, Thacker S, Tounekti O, Verthelyi D, Wadhwa M, Wagner L, Yamamoto T, Zhang L, Zhou L. 2022 White Paper on Recent Issues in Bioanalysis: ICH M10 BMV Guideline & Global Harmonization; Hybrid Assays; Oligonucleotides & ADC; Non-Liquid & Rare Matrices; Regulatory Inputs ( Part 1A - Recommendations on Mass Spectrometry, Chromatography and Sample Preparation, Novel Technologies, Novel Modalities, and Novel Challenges, ICH M10 BMV Guideline & Global Harmonization Part 1B - Regulatory Agencies' Inputs on Regulated Bioanalysis/BMV, Biomarkers/CDx/BAV, Immunogenicity, Gene & Cell Therapy and Vaccine). Bioanalysis 2023; 15:955-1016. [PMID: 37650500 DOI: 10.4155/bio-2023-0167] [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] [Indexed: 09/01/2023] Open
Abstract
The 16th Workshop on Recent Issues in Bioanalysis (16th WRIB) took place in Atlanta, GA, USA on September 26-30, 2022. Over 1000 professionals representing pharma/biotech companies, CROs, and multiple regulatory agencies convened to actively discuss the most current topics of interest in bioanalysis. The 16th WRIB included 3 Main Workshops and 7 Specialized Workshops that together spanned 1 week in order to allow exhaustive and thorough coverage of all major issues in bioanalysis, biomarkers, immunogenicity, gene therapy, cell therapy and vaccines. Moreover, in-depth workshops on the ICH M10 BMV final guideline (focused on this guideline training, interpretation, adoption and transition); mass spectrometry innovation (focused on novel technologies, novel modalities, and novel challenges); and flow cytometry bioanalysis (rising of the 3rd most common/important technology in bioanalytical labs) were the special features of the 16th edition. As in previous years, WRIB continued to gather a wide diversity of international, industry opinion leaders and regulatory authority experts working on both small and large molecules as well as gene, cell therapies and vaccines to facilitate sharing and discussions focused on improving quality, increasing regulatory compliance, and achieving scientific excellence on bioanalytical issues. This 2022 White Paper encompasses recommendations emerging from the extensive discussions held during the workshop and is aimed to provide the bioanalytical community with key information and practical solutions on topics and issues addressed, in an effort to enable advances in scientific excellence, improved quality and better regulatory compliance. Due to its length, the 2022 edition of this comprehensive White Paper has been divided into three parts for editorial reasons. This publication (Part 1A) covers the recommendations on Mass Spectrometry and ICH M10. Part 1B covers the Regulatory Agencies' Inputs on Bioanalysis, Biomarkers, Immunogenicity, Gene & Cell Therapy and Vaccine. Part 2 (LBA, Biomarkers/CDx and Cytometry) and Part 3 (Gene Therapy, Cell therapy, Vaccines and Biotherapeutics Immunogenicity) are published in volume 15 of Bioanalysis, issues 15 and 14 (2023), respectively.
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Affiliation(s)
| | | | | | | | | | | | | | | | - John Mehl
- GlaxoSmithKline, Collegeville, PA, USA
| | | | | | | | | | | | | | | | | | | | - Yongjun Xue
- Bristol-Myers Squibb, Lawrenceville, NJ, USA
| | | | - Yue Huang
- AstraZeneca, South San Francisco, CA, USA
| | | | | | | | | | | | | | | | | | | | | | | | - Ola Saad
- Genentech, South San Francisco, CA, USA
| | | | | | | | - Naiyu Zheng
- Bristol-Myers Squibb, Lawrenceville, NJ, USA
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Yang Lu
- US FDA, Silver Spring, MD, USA
| | | | | | | | | | | | | | | | | | | | | | - Li Yang
- US FDA, Silver Spring, MD, USA
| | - Eric Yang
- GlaxoSmithKline, Collegeville, PA, USA
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Gong B, Deveson IW, Mercer T, Johann DJ, Jones W, Tong W, Xu J. Ultra-deep sequencing data from a liquid biopsy proficiency study demonstrating analytic validity. Sci Data 2022; 9:170. [PMID: 35418127 PMCID: PMC9008010 DOI: 10.1038/s41597-022-01276-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Accepted: 02/11/2022] [Indexed: 11/09/2022] Open
Abstract
Recently we reported the accuracy and reproducibility of circulating tumor DNA (ctDNA) assays using a unique set of reference materials, associated analytical framework, and suggested best practices. With the rapid adoption of ctDNA sequencing in precision oncology, it is critical to understand the analytical validity and technical limitations of this cutting-edge and medical-practice-changing technology. The SEQC2 Oncopanel Sequencing Working Group has developed a multi-site, cross-platform study design for evaluating the analytical performance of five industry-leading ctDNA assays. The study used tailor-made reference samples at various levels of input material to assess ctDNA sequencing across 12 participating clinical and research facilities. The generated dataset encompasses multiple key variables, including a broad range of mutation frequencies, sequencing coverage depth, DNA input quantity, etc. It is the most comprehensive public-facing dataset of its kind and provides valuable insights into ultra-deep ctDNA sequencing technology. Eventually the clinical utility of ctDNA assays is required and our proficiency study and corresponding dataset are needed steps towards this goal. Measurement(s) | Somatic Mutation • spike-in quality control role | Technology Type(s) | Tumor Panel Sequencing | Factor Type(s) | Tumor Panel • DNA Library Input Quantity • Variant Allele Frequency | Sample Characteristic - Organism | Homo sapiens |
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Affiliation(s)
- Binsheng Gong
- Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, 72079, USA
| | - Ira W Deveson
- Kinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Sydney, NSW, Australia.,St Vincent's Clinical School, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia
| | - Timothy Mercer
- Australian Institute of Bioengineering and Nanotechnology, University of Queensland, St Lucia, QLD, Australia.,Genomics and Epigenetics Theme, Garvan Institute of Medical Research, Sydney, NSW, Australia
| | - Donald J Johann
- Winthrop P Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, 4301 W Markham St., Little Rock, AR, 72205, USA
| | - Wendell Jones
- Q2 Solutions - EA Genomics, 5927 S Miami Blvd., Morrisville, NC, 27560, USA
| | - Weida Tong
- Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, 72079, USA
| | - Joshua Xu
- Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, 72079, USA.
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Liu Z, Roberts R, Mercer TR, Xu J, Sedlazeck FJ, Tong W. Towards accurate and reliable resolution of structural variants for clinical diagnosis. Genome Biol 2022; 23:68. [PMID: 35241127 PMCID: PMC8892125 DOI: 10.1186/s13059-022-02636-8] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Accepted: 02/15/2022] [Indexed: 12/17/2022] Open
Abstract
Structural variants (SVs) are a major source of human genetic diversity and have been associated with different diseases and phenotypes. The detection of SVs is difficult, and a diverse range of detection methods and data analysis protocols has been developed. This difficulty and diversity make the detection of SVs for clinical applications challenging and requires a framework to ensure accuracy and reproducibility. Here, we discuss current developments in the diagnosis of SVs and propose a roadmap for the accurate and reproducible detection of SVs that includes case studies provided from the FDA-led SEquencing Quality Control Phase II (SEQC-II) and other consortium efforts.
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Affiliation(s)
- Zhichao Liu
- National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, AR, 72079, USA
| | - Ruth Roberts
- ApconiX, BioHub at Alderley Park, Alderley Edge, SK10 4TG, UK.,University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
| | - Timothy R Mercer
- Australian Institute for Bioengineering and Nanotechnology, University of Queensland, Brisbane, QLD, Australia.,Garvan Institute of Medical Research, Sydney, NSW, Australia.,St Vincent's Clinical School, University of New South Wales, Sydney, NSW, Australia
| | - Joshua Xu
- National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, AR, 72079, USA
| | - Fritz J Sedlazeck
- Human Genome Sequencing Center, Baylor College of Medicine, One Baylor Plaza, Houston, TX, 77030, USA.
| | - Weida Tong
- National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, AR, 72079, USA.
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