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Sivapalan L, Kocher H, Ross-Adams H, Chelala C. Molecular profiling of ctDNA in pancreatic cancer: Opportunities and challenges for clinical application. Pancreatology 2021; 21:363-378. [PMID: 33451936 PMCID: PMC7994018 DOI: 10.1016/j.pan.2020.12.017] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2020] [Revised: 12/16/2020] [Accepted: 12/21/2020] [Indexed: 01/10/2023]
Abstract
Pancreatic ductal adenocarcinoma (PDAC) is predicted to become the second leading cause of cancer-related mortality within the next decade, with limited effective treatment options and a dismal long-term prognosis for patients. Genomic profiling has not yet manifested clinical benefits for diagnosis, treatment or prognosis in PDAC, due to the lack of available tissues for sequencing and the confounding effects of low tumour cellularity in many biopsy specimens. Increasing focus is now turning to the use of minimally invasive liquid biopsies to enhance the characterisation of actionable PDAC tumour genomes. Circulating tumour DNA (ctDNA) is the most comprehensively studied liquid biopsy analyte in blood and can provide insight into the molecular profile and biological characteristics of individual PDAC tumours, in real-time and in advance of traditional imaging modalities. This can pave the way for identification of new therapeutic targets, novel risk variants and markers of tumour response, to supplement diagnostic screening and provide enhanced scrutiny in treatment stratification. In the roadmap towards the application of precision medicine for clinical management in PDAC, ctDNA analyses may serve a leading role in streamlining candidate biomarkers for clinical integration. In this review, we highlight recent developments in the use of ctDNA-based liquid biopsies for PDAC and provide new insights into the technical, analytical and biological challenges that must be overcome for this potential to be realised.
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Affiliation(s)
- L. Sivapalan
- Centre for Cancer Biomarkers and Biotherapeutics, Barts Cancer Institute, Queen Mary University of London, EC1M 6BQ, UK
| | - H.M. Kocher
- Centre for Tumour Biology, Barts Cancer Institute, Queen Mary University of London, EC1M 6BQ, UK
| | - H. Ross-Adams
- Centre for Cancer Biomarkers and Biotherapeutics, Barts Cancer Institute, Queen Mary University of London, EC1M 6BQ, UK
| | - C. Chelala
- Centre for Cancer Biomarkers and Biotherapeutics, Barts Cancer Institute, Queen Mary University of London, EC1M 6BQ, UK,Corresponding author.
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102
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García-Silva S, Gallardo M, Peinado H. DNA-Loaded Extracellular Vesicles in Liquid Biopsy: Tiny Players With Big Potential? Front Cell Dev Biol 2021; 8:622579. [PMID: 33575258 PMCID: PMC7872099 DOI: 10.3389/fcell.2020.622579] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Accepted: 12/18/2020] [Indexed: 12/12/2022] Open
Affiliation(s)
- Susana García-Silva
- Microenvironment and Metastasis Laboratory, Molecular Oncology Programme, Spanish National Cancer Research Center (CNIO), Madrid, Spain
| | - Miguel Gallardo
- H12O - CNIO Hematological Malignancies Clinical Research Unit, Clinical Research Programme, Spanish National Cancer Research Center (CNIO), Madrid, Spain
| | - Héctor Peinado
- Microenvironment and Metastasis Laboratory, Molecular Oncology Programme, Spanish National Cancer Research Center (CNIO), Madrid, Spain
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103
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The Feasibility of Patient-Specific Circulating Tumor DNA Monitoring throughout Multi-Modality Therapy for Locally Advanced Esophageal and Rectal Cancer: A Potential Biomarker for Early Detection of Subclinical Disease. Diagnostics (Basel) 2021; 11:diagnostics11010073. [PMID: 33466369 PMCID: PMC7824834 DOI: 10.3390/diagnostics11010073] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2020] [Revised: 12/21/2020] [Accepted: 12/30/2020] [Indexed: 12/12/2022] Open
Abstract
As non-operative management (NOM) of esophageal and rectal cancer is becoming more prevalent, blood-biomarkers such as circulating tumor DNA (ctDNA) may provide clinical information in addition to endoscopy and imaging to aid in treatment decisions following chemotherapy and radiation therapy. In this feasibility study, we prospectively collected plasma samples from locally advanced esophageal (n = 3) and rectal cancer (n = 2) patients undergoing multimodal neoadjuvant therapy to assess the feasibility of serial ctDNA monitoring throughout neoadjuvant therapy. Using the Dual-Index Degenerate Adaptor-Sequencing (DIDA-Seq) error-correction method, we serially interrogated plasma cell-free DNA at 28-41 tumor-specific genomic loci throughout therapy and in surveillance with an average limit of detection of 0.016% mutant allele frequency. In both rectal cancer patients, ctDNA levels were persistently elevated following total neoadjuvant therapy with eventual detection of clinical recurrence prior to salvage surgery. Among the esophageal cancer patients, ctDNA levels closely correlated with tumor burden throughout and following neoadjuvant therapy, which was associated with a pathologic complete response in one patient. In this feasibility study, patient- and tumor-specific ctDNA levels correlated with clinical outcomes throughout multi-modality therapy suggesting that serial monitoring of patient ctDNA has the potential to serve as a highly sensitive and specific biomarker to risk-stratify esophageal and rectal cancer patients eligible for NOM. Further prospective investigation is warranted.
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104
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Bezdan D, Grigorev K, Meydan C, Pelissier Vatter FA, Cioffi M, Rao V, MacKay M, Nakahira K, Burnham P, Afshinnekoo E, Westover C, Butler D, Mozsary C, Donahoe T, Foox J, Mishra T, Lucotti S, Rana BK, Melnick AM, Zhang H, Matei I, Kelsen D, Yu K, Lyden DC, Taylor L, Bailey SM, Snyder MP, Garrett-Bakelman FE, Ossowski S, De Vlaminck I, Mason CE. Cell-free DNA (cfDNA) and Exosome Profiling from a Year-Long Human Spaceflight Reveals Circulating Biomarkers. iScience 2020; 23:101844. [PMID: 33376973 PMCID: PMC7756145 DOI: 10.1016/j.isci.2020.101844] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Revised: 10/12/2020] [Accepted: 11/18/2020] [Indexed: 12/11/2022] Open
Abstract
Liquid biopsies based on cell-free DNA (cfDNA) or exosomes provide a noninvasive approach to monitor human health and disease but have not been utilized for astronauts. Here, we profile cfDNA characteristics, including fragment size, cellular deconvolution, and nucleosome positioning, in an astronaut during a year-long mission on the International Space Station, compared to his identical twin on Earth and healthy donors. We observed a significant increase in the proportion of cell-free mitochondrial DNA (cf-mtDNA) inflight, and analysis of post-flight exosomes in plasma revealed a 30-fold increase in circulating exosomes and patient-specific protein cargo (including brain-derived peptides) after the year-long mission. This longitudinal analysis of astronaut cfDNA during spaceflight and the exosome profiles highlights their utility for astronaut health monitoring, as well as cf-mtDNA levels as a potential biomarker for physiological stress or immune system responses related to microgravity, radiation exposure, and the other unique environmental conditions of spaceflight.
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Affiliation(s)
- Daniela Bezdan
- Department of Physiology and Biophysics, Weill Cornell Medicine, 1305 York Avenue, Y13-05, New York, NY 10021, USA
- Institute of Medical Virology and Epidemiology of Viral Diseases, University Hospital, Tubingen, Germany
| | - Kirill Grigorev
- Department of Physiology and Biophysics, Weill Cornell Medicine, 1305 York Avenue, Y13-05, New York, NY 10021, USA
| | - Cem Meydan
- Department of Physiology and Biophysics, Weill Cornell Medicine, 1305 York Avenue, Y13-05, New York, NY 10021, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- The WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY, USA
| | - Fanny A. Pelissier Vatter
- Children's Cancer and Blood Foundation Laboratories, Departments of Pediatrics, and Cell and Developmental Biology, Drukier Institute for Children's Health, Meyer Cancer Center, Weill Cornell Medical College, New York, NY, USA
| | - Michele Cioffi
- Children's Cancer and Blood Foundation Laboratories, Departments of Pediatrics, and Cell and Developmental Biology, Drukier Institute for Children's Health, Meyer Cancer Center, Weill Cornell Medical College, New York, NY, USA
| | - Varsha Rao
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Matthew MacKay
- Department of Physiology and Biophysics, Weill Cornell Medicine, 1305 York Avenue, Y13-05, New York, NY 10021, USA
| | | | - Philip Burnham
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Ebrahim Afshinnekoo
- Department of Physiology and Biophysics, Weill Cornell Medicine, 1305 York Avenue, Y13-05, New York, NY 10021, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- The WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY, USA
| | - Craig Westover
- Department of Physiology and Biophysics, Weill Cornell Medicine, 1305 York Avenue, Y13-05, New York, NY 10021, USA
| | - Daniel Butler
- Department of Physiology and Biophysics, Weill Cornell Medicine, 1305 York Avenue, Y13-05, New York, NY 10021, USA
| | - Chris Mozsary
- Department of Physiology and Biophysics, Weill Cornell Medicine, 1305 York Avenue, Y13-05, New York, NY 10021, USA
| | - Timothy Donahoe
- Department of Physiology and Biophysics, Weill Cornell Medicine, 1305 York Avenue, Y13-05, New York, NY 10021, USA
| | - Jonathan Foox
- Department of Physiology and Biophysics, Weill Cornell Medicine, 1305 York Avenue, Y13-05, New York, NY 10021, USA
| | - Tejaswini Mishra
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Serena Lucotti
- Children's Cancer and Blood Foundation Laboratories, Departments of Pediatrics, and Cell and Developmental Biology, Drukier Institute for Children's Health, Meyer Cancer Center, Weill Cornell Medical College, New York, NY, USA
| | - Brinda K. Rana
- Department of Psychiatry University of California, San Diego, La Jolla, CA, USA
| | - Ari M. Melnick
- Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Haiying Zhang
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Irina Matei
- Children's Cancer and Blood Foundation Laboratories, Departments of Pediatrics, and Cell and Developmental Biology, Drukier Institute for Children's Health, Meyer Cancer Center, Weill Cornell Medical College, New York, NY, USA
| | - David Kelsen
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Kenneth Yu
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - David C. Lyden
- Children's Cancer and Blood Foundation Laboratories, Departments of Pediatrics, and Cell and Developmental Biology, Drukier Institute for Children's Health, Meyer Cancer Center, Weill Cornell Medical College, New York, NY, USA
| | - Lynn Taylor
- Department of Environmental & Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
| | - Susan M. Bailey
- Department of Environmental & Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
| | - Michael P. Snyder
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Francine E. Garrett-Bakelman
- Department of Medicine, Weill Cornell Medicine, New York, NY, USA
- Department of Medicine, University of Virginia School of Medicine, Charlottesville, VA, USA
- Department of Biochemistry and Molecular Genetics, University of Virginia School of Medicine, Charlottesville, VA, USA
- University of Virginia Cancer Center, Charlottesville, VA, USA
| | - Stephan Ossowski
- Institute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany
| | - Iwijn De Vlaminck
- Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA
| | - Christopher E. Mason
- Department of Physiology and Biophysics, Weill Cornell Medicine, 1305 York Avenue, Y13-05, New York, NY 10021, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- The WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY, USA
- The Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA
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105
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Alba-Bernal A, Lavado-Valenzuela R, Domínguez-Recio ME, Jiménez-Rodriguez B, Queipo-Ortuño MI, Alba E, Comino-Méndez I. Challenges and achievements of liquid biopsy technologies employed in early breast cancer. EBioMedicine 2020; 62:103100. [PMID: 33161226 PMCID: PMC7670097 DOI: 10.1016/j.ebiom.2020.103100] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2020] [Revised: 10/01/2020] [Accepted: 10/14/2020] [Indexed: 12/11/2022] Open
Abstract
Breast cancer is the most common cancer type in women worldwide and its early detection is crucial to curing the disease. Tissue biopsy, currently the method of choice to obtain tumour molecular information, is invasive and might be affected by tumour heterogeneity rendering it incapable to portray the complete molecular picture. Liquid biopsy permits to study disease features in a more comprehensive manner by sampling biofluids and extracting tumour components such as circulating-tumour DNA (ctDNA), circulating-tumour cells (CTCs), and/or circulating-tumour RNA (ctRNA) amongst others in a monitoring-compatible manner. In this review, we describe the recent progress in the utilization of the circulating tumour components using early breast cancer samples. We review the most important analytes and technologies employed for their study.
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Affiliation(s)
- Alfonso Alba-Bernal
- Unidad de Gestión Clínica Intercentros de Oncología Medica, Hospitales Universitarios Regional y Virgen de la Victoria. The Biomedical Research Institute of Málaga (IBIMA-CIMES-UMA), Málaga 29010, Spain
| | - Rocío Lavado-Valenzuela
- Unidad de Gestión Clínica Intercentros de Oncología Medica, Hospitales Universitarios Regional y Virgen de la Victoria. The Biomedical Research Institute of Málaga (IBIMA-CIMES-UMA), Málaga 29010, Spain
| | - María Emilia Domínguez-Recio
- Unidad de Gestión Clínica Intercentros de Oncología Medica, Hospitales Universitarios Regional y Virgen de la Victoria. The Biomedical Research Institute of Málaga (IBIMA-CIMES-UMA), Málaga 29010, Spain
| | - Begoña Jiménez-Rodriguez
- Unidad de Gestión Clínica Intercentros de Oncología Medica, Hospitales Universitarios Regional y Virgen de la Victoria. The Biomedical Research Institute of Málaga (IBIMA-CIMES-UMA), Málaga 29010, Spain
| | - María Isabel Queipo-Ortuño
- Unidad de Gestión Clínica Intercentros de Oncología Medica, Hospitales Universitarios Regional y Virgen de la Victoria. The Biomedical Research Institute of Málaga (IBIMA-CIMES-UMA), Málaga 29010, Spain
| | - Emilio Alba
- Unidad de Gestión Clínica Intercentros de Oncología Medica, Hospitales Universitarios Regional y Virgen de la Victoria. The Biomedical Research Institute of Málaga (IBIMA-CIMES-UMA), Málaga 29010, Spain.
| | - Iñaki Comino-Méndez
- Unidad de Gestión Clínica Intercentros de Oncología Medica, Hospitales Universitarios Regional y Virgen de la Victoria. The Biomedical Research Institute of Málaga (IBIMA-CIMES-UMA), Málaga 29010, Spain.
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106
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Avanzini S, Kurtz DM, Chabon JJ, Moding EJ, Hori SS, Gambhir SS, Alizadeh AA, Diehn M, Reiter JG. A mathematical model of ctDNA shedding predicts tumor detection size. SCIENCE ADVANCES 2020; 6:eabc4308. [PMID: 33310847 PMCID: PMC7732186 DOI: 10.1126/sciadv.abc4308] [Citation(s) in RCA: 100] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Accepted: 10/29/2020] [Indexed: 05/12/2023]
Abstract
Early cancer detection aims to find tumors before they progress to an incurable stage. To determine the potential of circulating tumor DNA (ctDNA) for cancer detection, we developed a mathematical model of tumor evolution and ctDNA shedding to predict the size at which tumors become detectable. From 176 patients with stage I to III lung cancer, we inferred that, on average, 0.014% of a tumor cell's DNA is shed into the bloodstream per cell death. For annual screening, the model predicts median detection sizes of 2.0 to 2.3 cm representing a ~40% decrease from the current median detection size of 3.5 cm. For informed monthly cancer relapse testing, the model predicts a median detection size of 0.83 cm and suggests that treatment failure can be detected 140 days earlier than with imaging-based approaches. This mechanistic framework can help accelerate clinical trials by precomputing the most promising cancer early detection strategies.
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Affiliation(s)
- Stefano Avanzini
- Canary Center for Cancer Early Detection, Department of Radiology, Stanford University School of Medicine, Palo Alto, CA 94304, USA
| | - David M Kurtz
- Division of Oncology, Division of Hematology, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Jacob J Chabon
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Everett J Moding
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA 94305, USA
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Sharon Seiko Hori
- Canary Center for Cancer Early Detection, Department of Radiology, Stanford University School of Medicine, Palo Alto, CA 94304, USA
- Molecular Imaging Program at Stanford, Department of Radiology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Sanjiv Sam Gambhir
- Canary Center for Cancer Early Detection, Department of Radiology, Stanford University School of Medicine, Palo Alto, CA 94304, USA
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA 94305, USA
- Molecular Imaging Program at Stanford, Department of Radiology, Stanford University School of Medicine, Stanford, CA 94305, USA
- Bio-X Program, Stanford University, Stanford, CA 94305, USA
- Department of Bioengineering and Department of Materials Science and Engineering, Stanford University School of Medicine, Palo Alto, CA 94305, USA
| | - Ash A Alizadeh
- Division of Oncology, Division of Hematology, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Maximilian Diehn
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA 94305, USA
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Johannes G Reiter
- Canary Center for Cancer Early Detection, Department of Radiology, Stanford University School of Medicine, Palo Alto, CA 94304, USA.
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA 94305, USA
- Bio-X Program, Stanford University, Stanford, CA 94305, USA
- Department of Biomedical Data Science, Biophysics Program, Stanford University, Stanford, CA 94305, USA
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107
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Gill AB, Rundo L, Wan JCM, Lau D, Zawaideh JP, Woitek R, Zaccagna F, Beer L, Gale D, Sala E, Couturier DL, Corrie PG, Rosenfeld N, Gallagher FA. Correlating Radiomic Features of Heterogeneity on CT with Circulating Tumor DNA in Metastatic Melanoma. Cancers (Basel) 2020; 12:E3493. [PMID: 33255267 PMCID: PMC7759931 DOI: 10.3390/cancers12123493] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Accepted: 11/17/2020] [Indexed: 12/18/2022] Open
Abstract
Clinical imaging methods, such as computed tomography (CT), are used for routine tumor response monitoring. Imaging can also reveal intratumoral, intermetastatic, and interpatient heterogeneity, which can be quantified using radiomics. Circulating tumor DNA (ctDNA) in the plasma is a sensitive and specific biomarker for response monitoring. Here we evaluated the interrelationship between circulating tumor DNA mutant allele fraction (ctDNAmaf), obtained by targeted amplicon sequencing and shallow whole genome sequencing, and radiomic measurements of CT heterogeneity in patients with stage IV melanoma. ctDNAmaf and radiomic observations were obtained from 15 patients with a total of 70 CT examinations acquired as part of a prospective trial. 26 of 39 radiomic features showed a significant relationship with log(ctDNAmaf). Principal component analysis was used to define a radiomics signature that predicted ctDNAmaf independent of lesion volume. This radiomics signature and serum lactate dehydrogenase were independent predictors of ctDNAmaf. Together, these results suggest that radiomic features and ctDNAmaf may serve as complementary clinical tools for treatment monitoring.
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Affiliation(s)
- Andrew B. Gill
- Department of Radiology, University of Cambridge, Cambridge CB2 0QQ, UK; (L.R.); (D.L.); (J.P.Z.); (R.W.); (F.Z.); (L.B.); (E.S.); (F.A.G.)
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge CB2 0RE, UK; (D.G.); (N.R.)
- Imaging Department, Cambridge University Hospitals NHS Foundation Trust, Cambridge CB2 0QQ, UK
| | - Leonardo Rundo
- Department of Radiology, University of Cambridge, Cambridge CB2 0QQ, UK; (L.R.); (D.L.); (J.P.Z.); (R.W.); (F.Z.); (L.B.); (E.S.); (F.A.G.)
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge CB2 0RE, UK; (D.G.); (N.R.)
| | - Jonathan C. M. Wan
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge CB2 0RE, UK; (J.C.M.W.); (D.-L.C.)
| | - Doreen Lau
- Department of Radiology, University of Cambridge, Cambridge CB2 0QQ, UK; (L.R.); (D.L.); (J.P.Z.); (R.W.); (F.Z.); (L.B.); (E.S.); (F.A.G.)
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge CB2 0RE, UK; (D.G.); (N.R.)
| | - Jeries P. Zawaideh
- Department of Radiology, University of Cambridge, Cambridge CB2 0QQ, UK; (L.R.); (D.L.); (J.P.Z.); (R.W.); (F.Z.); (L.B.); (E.S.); (F.A.G.)
| | - Ramona Woitek
- Department of Radiology, University of Cambridge, Cambridge CB2 0QQ, UK; (L.R.); (D.L.); (J.P.Z.); (R.W.); (F.Z.); (L.B.); (E.S.); (F.A.G.)
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge CB2 0RE, UK; (D.G.); (N.R.)
| | - Fulvio Zaccagna
- Department of Radiology, University of Cambridge, Cambridge CB2 0QQ, UK; (L.R.); (D.L.); (J.P.Z.); (R.W.); (F.Z.); (L.B.); (E.S.); (F.A.G.)
| | - Lucian Beer
- Department of Radiology, University of Cambridge, Cambridge CB2 0QQ, UK; (L.R.); (D.L.); (J.P.Z.); (R.W.); (F.Z.); (L.B.); (E.S.); (F.A.G.)
| | - Davina Gale
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge CB2 0RE, UK; (D.G.); (N.R.)
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge CB2 0RE, UK; (J.C.M.W.); (D.-L.C.)
| | - Evis Sala
- Department of Radiology, University of Cambridge, Cambridge CB2 0QQ, UK; (L.R.); (D.L.); (J.P.Z.); (R.W.); (F.Z.); (L.B.); (E.S.); (F.A.G.)
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge CB2 0RE, UK; (D.G.); (N.R.)
| | - Dominique-Laurent Couturier
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge CB2 0RE, UK; (J.C.M.W.); (D.-L.C.)
| | - Pippa G. Corrie
- Department of Oncology, Cambridge University Hospitals NHS Foundation Trust, Cambridge CB2 0QQ, UK;
| | - Nitzan Rosenfeld
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge CB2 0RE, UK; (D.G.); (N.R.)
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge CB2 0RE, UK; (J.C.M.W.); (D.-L.C.)
| | - Ferdia A. Gallagher
- Department of Radiology, University of Cambridge, Cambridge CB2 0QQ, UK; (L.R.); (D.L.); (J.P.Z.); (R.W.); (F.Z.); (L.B.); (E.S.); (F.A.G.)
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge CB2 0RE, UK; (D.G.); (N.R.)
- Imaging Department, Cambridge University Hospitals NHS Foundation Trust, Cambridge CB2 0QQ, UK
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108
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Lau E, McCoy P, Reeves F, Chow K, Clarkson M, Kwan EM, Packwood K, Northen H, He M, Kingsbury Z, Mangiola S, Kerger M, Furrer MA, Crowe H, Costello AJ, McBride DJ, Ross MT, Pope B, Hovens CM, Corcoran NM. Detection of ctDNA in plasma of patients with clinically localised prostate cancer is associated with rapid disease progression. Genome Med 2020; 12:72. [PMID: 32807235 PMCID: PMC7430029 DOI: 10.1186/s13073-020-00770-1] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2020] [Accepted: 07/30/2020] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND DNA originating from degenerate tumour cells can be detected in the circulation in many tumour types, where it can be used as a marker of disease burden as well as to monitor treatment response. Although circulating tumour DNA (ctDNA) measurement has prognostic/predictive value in metastatic prostate cancer, its utility in localised disease is unknown. METHODS We performed whole-genome sequencing of tumour-normal pairs in eight patients with clinically localised disease undergoing prostatectomy, identifying high confidence genomic aberrations. A bespoke DNA capture and amplification panel against the highest prevalence, highest confidence aberrations for each individual was designed and used to interrogate ctDNA isolated from plasma prospectively obtained pre- and post- (24 h and 6 weeks) surgery. In a separate cohort (n = 189), we identified the presence of ctDNA TP53 mutations in preoperative plasma in a retrospective cohort and determined its association with biochemical- and metastasis-free survival. RESULTS Tumour variants in ctDNA were positively identified pre-treatment in two of eight patients, which in both cases remained detectable postoperatively. Patients with tumour variants in ctDNA had extremely rapid disease recurrence and progression compared to those where variants could not be detected. In terms of aberrations targeted, single nucleotide and structural variants outperformed indels and copy number aberrations. Detection of ctDNA TP53 mutations was associated with a significantly shorter metastasis-free survival (6.2 vs. 9.5 years (HR 2.4; 95% CIs 1.2-4.8, p = 0.014). CONCLUSIONS CtDNA is uncommonly detected in localised prostate cancer, but its presence portends more rapidly progressive disease.
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Affiliation(s)
- Edmund Lau
- Department of Surgery, University of Melbourne, 5th Floor Clinical Sciences Building, Royal Melbourne Hospital, Grattan Street, Parkville, VIC, 3050, Australia.,Melbourne Bioinformatics, The University of Melbourne, Carlton, VIC, 3053, Australia
| | - Patrick McCoy
- Department of Surgery, University of Melbourne, 5th Floor Clinical Sciences Building, Royal Melbourne Hospital, Grattan Street, Parkville, VIC, 3050, Australia
| | - Fairleigh Reeves
- Department of Surgery, University of Melbourne, 5th Floor Clinical Sciences Building, Royal Melbourne Hospital, Grattan Street, Parkville, VIC, 3050, Australia
| | - Ken Chow
- Department of Surgery, University of Melbourne, 5th Floor Clinical Sciences Building, Royal Melbourne Hospital, Grattan Street, Parkville, VIC, 3050, Australia
| | - Michael Clarkson
- Department of Surgery, University of Melbourne, 5th Floor Clinical Sciences Building, Royal Melbourne Hospital, Grattan Street, Parkville, VIC, 3050, Australia
| | - Edmond M Kwan
- Department of Medicine, School of Clinical Sciences, Monash University, Melbourne, VIC, 3800, Australia.,Department of Medical Oncology, Monash Health, Melbourne, VIC, 3168, Australia
| | - Kate Packwood
- Illumina Cambridge Ltd., Great Abington, Cambridge, UK
| | - Helen Northen
- Illumina Cambridge Ltd., Great Abington, Cambridge, UK
| | - Miao He
- Illumina Cambridge Ltd., Great Abington, Cambridge, UK
| | | | - Stefano Mangiola
- Division of Bioinformatics, Walter and Eliza Hall Institute, Parkville, VIC, 3052, Australia
| | - Michael Kerger
- Australian Prostate Cancer Centre, North Melbourne, VIC, 3195, Australia
| | - Marc A Furrer
- Department of Urology, Royal Melbourne Hospital, Melbourne, VIC, 3050, Australia.,Department of Urology, Inselspital, Bern University Hospital, Bern, Switzerland
| | - Helen Crowe
- Australian Prostate Cancer Centre, North Melbourne, VIC, 3195, Australia
| | - Anthony J Costello
- Australian Prostate Cancer Centre, North Melbourne, VIC, 3195, Australia
| | | | - Mark T Ross
- Illumina Cambridge Ltd., Great Abington, Cambridge, UK
| | - Bernard Pope
- Department of Surgery, University of Melbourne, 5th Floor Clinical Sciences Building, Royal Melbourne Hospital, Grattan Street, Parkville, VIC, 3050, Australia.,Melbourne Bioinformatics, The University of Melbourne, Carlton, VIC, 3053, Australia.,Department of Medicine, School of Clinical Sciences, Monash University, Melbourne, VIC, 3800, Australia.,Department of Clinical Pathology, The University of Melbourne, Victorian Comprehensive Cancer Centre, Melbourne, VIC, 3000, Australia
| | - Christopher M Hovens
- Department of Surgery, University of Melbourne, 5th Floor Clinical Sciences Building, Royal Melbourne Hospital, Grattan Street, Parkville, VIC, 3050, Australia
| | - Niall M Corcoran
- Department of Surgery, University of Melbourne, 5th Floor Clinical Sciences Building, Royal Melbourne Hospital, Grattan Street, Parkville, VIC, 3050, Australia. .,Australian Prostate Cancer Centre, North Melbourne, VIC, 3195, Australia. .,Department of Urology, Royal Melbourne Hospital, Melbourne, VIC, 3050, Australia. .,Department of Urology, Peninsula Health, Frankston, VIC, 3199, Australia. .,Victorian Comprehensive Cancer Centre, Melbourne, VIC, 3000, Australia.
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109
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Xu J, Qu S, Sun N, Zhang W, Zhang J, Song Q, Lin M, Gao W, Zheng Q, Han M, Na C, Xu R, Chang X, Yang X, Huang J. Construction of a reference material panel for detecting KRAS/ NRAS/ EGFR/ BRAF/ MET mutations in plasma ctDNA. J Clin Pathol 2020; 74:314-320. [PMID: 32817175 PMCID: PMC8070650 DOI: 10.1136/jclinpath-2020-206745] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2020] [Revised: 06/28/2020] [Accepted: 07/02/2020] [Indexed: 12/24/2022]
Abstract
Background The absence of high-quality next-generation sequencing (NGS) reference material (RM) has impeded the clinical use of liquid biopsies with plasma cell-free DNA (cfDNA) in China. Objective This study aimed to develop a national RM panel for external quality assessment and performance evaluation during kit registration of non-small-cell lung cancer (NSCLC)-related Kirsten rat sarcoma viral oncogene (KRAS)/neuroblastoma ras oncogene (NRAS)/epidermal growth factor receptor (EGFR)/B-type Raf kinase (BRAF)/mesenchymal–epithelial transition factor (MET) genetic assays using plasma circulating tumor DNA (ctDNA). Methods Mutation cell lines detected by NGS and validated by Sanger sequencing were selected to establish the RM. Cell line genomic DNA was sheared and used to spike basal plasma cfDNA at 10% concentration. Then, the calibration accuracy was determined by four sequencing platforms. Average values were adopted and diluted to 0.1%, 0.3%, 1% and 3% concentrations with basal plasma as the RM panel. Then, five manufacturers were invited to evaluate the performance of the RM panel. Results 20 cell lines with 23 clinically important mutations were selected, including six mutations in KRAS, two mutations in NRAS, three in BRAF, four in phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit alpha (PIK3CA), six in EGFR, one EGFR Gain (4-5 copy) and one MET Gain (2-5 copy). The RM panel consisted of 87 samples, including these 21 mutations at four concentrations (0.1%, 0.3%, 1% and 3%), one MET gain, one EGFR gain and one wild type. The detection rate was 100% for the 3%, 1% and 0.3% samples at all five companies. For the 0.1% concentration, 15 samples had inconsistent results, but at least three companies had correct results for each mutation. Conclusion RM for a KRAS/NRAS/EGFR/BRAF/MET mutation panel for plasma ctDNA was developed, which will be essential for quality control of the performance of independent laboratories.
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Affiliation(s)
- Jun Xu
- Department of Neurosurgery, China-Japan Friendship Hospital, Beijing, China
| | - Shoufang Qu
- Division of Diagnostic for Non-infectious Disease, National Institutes for Food and Drug Control, Beijing, China
| | - Nan Sun
- Division of Diagnostic for Non-infectious Disease, National Institutes for Food and Drug Control, Beijing, China
| | - Wenxin Zhang
- Division of Diagnostic for Non-infectious Disease, National Institutes for Food and Drug Control, Beijing, China
| | - Juanli Zhang
- Department of Invitro Diagnostic Reagents Testing, Henan Medical Equipment Inspection Institute, Zhengzhou, China
| | - Qingtao Song
- R&D Center, Amoy Diagnostics Co., Ltd, Xiamen, China
| | - Mufei Lin
- Oncology Business Unit, BGI Geonmics Co., Ltd, Shenzhen, China
| | - Wei Gao
- R&D Center, Geneplus-Beijing Institute, Beijing, China
| | - Qiaosong Zheng
- R&D Center, Genetron Health (Beijing) Co, Beijing, China
| | - Mipeng Han
- R&D Center, Berry Genomics Co., Ltd, Beijing, China
| | - Chenglong Na
- R&D Center, Nanjing Geneseeq Technology Inc, Nanjing, China
| | - Ren Xu
- R&D Center, Shanghai Yuanqi Bio-Pharmaceutical Co. Ltd, Shanghai, China
| | - Xiaoyan Chang
- Department of Pathology, Peking Union Medical College Hospital, Beijing, China
| | - Xuexi Yang
- School of Laboratory Medicine and Biotechnology, Southern Medical University, Guangzhou, China
| | - Jie Huang
- Division of Diagnostic for Non-infectious Disease, National Institutes for Food and Drug Control, Beijing, China
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