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Ntzifa A, Lianidou E. Pre-analytical conditions and implementation of quality control steps in liquid biopsy analysis. Crit Rev Clin Lab Sci 2023; 60:573-594. [PMID: 37518938 DOI: 10.1080/10408363.2023.2230290] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2023] [Accepted: 06/23/2023] [Indexed: 08/01/2023]
Abstract
Over the last decade, great advancements have been made in the field of liquid biopsy through extensive research and the development of new technologies that facilitate the use of liquid biopsy for cancer patients. This is shown by the numerous liquid biopsy tests that gained clearance by the US Food and Drug Administration (FDA) in recent years. Liquid biopsy has significantly altered cancer treatment by providing clinicians with powerful and immediate information about therapeutic decisions. However, the clinical integration of liquid biopsy is still challenging and there are many critical factors to consider prior to its implementation into routine clinical practice. Lack of standardization due to technical challenges and the definition of the clinical utility of specific assays further complicates the establishment of Standard Operating Procedures (SOPs) in liquid biopsy. Harmonization of laboratories to established guidelines is of major importance to overcome inter-lab variabilities observed. Quality control assessment in diagnostic laboratories that offer liquid biopsy testing will ensure that clinicians can base their therapeutic decisions on robust results. The regular participation of laboratories in external quality assessment schemes for liquid biopsy testing aims to promptly pinpoint deficiencies and efficiently educate laboratories to improve their quality of services. Accreditation of liquid biopsy diagnostic laboratories based on the ISO15189 standard in Europe or by CLIA/CAP accreditation procedures in the US is the best way to achieve the adaptation of liquid biopsy into the clinical setting by assuring reliable results for the clinicians and their cancer patients. Nowadays, various organizations from academia, industry, and regulatory agencies collaborate to set a framework that will include all procedures from the pre-analytical phase and the analytical process to the final interpretation of results. In this review, we underline several challenges in the analysis of circulating tumor DNA (ctDNA) and circulating tumor cells (CTCs) concerning standardization of protocols, quality control assessment, harmonization of laboratories, and compliance to specific guidelines that need to be thoroughly considered before liquid biopsy enters the clinic.
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Affiliation(s)
- Aliki Ntzifa
- Analysis of Circulating Tumor Cells Lab, Lab of Analytical Chemistry, Department of Chemistry, National and Kapodistrian University of Athens, Athens, Greece
| | - Evi Lianidou
- Analysis of Circulating Tumor Cells Lab, Lab of Analytical Chemistry, Department of Chemistry, National and Kapodistrian University of Athens, Athens, Greece
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2
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Yang S, Zhan X, Tang X, Zhao S, Yu L, Gao M, Luo D, Wang Y, Chang K, Chen M. A multiplexed circulating tumor DNA detection platform engineered from 3D-coded interlocked DNA rings. Bioact Mater 2021; 10:68-78. [PMID: 34901530 PMCID: PMC8637011 DOI: 10.1016/j.bioactmat.2021.09.007] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Revised: 08/24/2021] [Accepted: 09/03/2021] [Indexed: 12/31/2022] Open
Abstract
Circulating tumor DNA (ctDNA) is a critical biomarker not only important for the early detection of tumors but also invaluable for personalized treatments. Currently ctDNA detection relies on sequencing. Here, a platform termed three-dimensional-coded interlocked DNA rings (3D-coded ID rings) was created for multiplexed ctDNA identification. The ID rings provide a ctDNA recognition ring that is physically interlocked with a reporter ring. The specific binding of ctDNA to the recognition ring initiates target-responsive cutting via a restriction endonuclease; the cutting then triggers rolling circle amplification on the reporter ring. The signals are further integrated with internal 3D codes for multiplexed readouts. ctDNAs from non-invasive clinical specimens including plasma, feces, and urine were detected and validated at a sensitivity much higher than those obtained through sequencing. This 3D-coded ID ring platform can detect any multiple DNA fragments simultaneously without sequencing. We envision that our platform will facilitate the implementation of future personalized/precision medicine. A platform termed 3D-coded ID rings was created for multiplexed ctDNA detection. This platform was integrated with two schemes: the ID ring scheme and the 3D-coded scheme. The platform could achieve multiplexed detection with detection limit of 500 copies per million in non-invasive specimens.
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Affiliation(s)
- Sha Yang
- Department of Clinical Laboratory Medicine, Southwest Hospital, Third Military Medical University (Army Medical University), 30 Gaotanyan, Shapingba District, Chongqing, 400038, China
| | - Xinyu Zhan
- Department of Clinical Laboratory Medicine, Southwest Hospital, Third Military Medical University (Army Medical University), 30 Gaotanyan, Shapingba District, Chongqing, 400038, China
| | - Xiaoqi Tang
- Department of Clinical Laboratory Medicine, Southwest Hospital, Third Military Medical University (Army Medical University), 30 Gaotanyan, Shapingba District, Chongqing, 400038, China
| | - Shuang Zhao
- Department of Clinical Laboratory Medicine, Southwest Hospital, Third Military Medical University (Army Medical University), 30 Gaotanyan, Shapingba District, Chongqing, 400038, China
| | - Lianyu Yu
- Department of Clinical Laboratory Medicine, Southwest Hospital, Third Military Medical University (Army Medical University), 30 Gaotanyan, Shapingba District, Chongqing, 400038, China
| | - Mingxuan Gao
- Department of Clinical Laboratory Medicine, Southwest Hospital, Third Military Medical University (Army Medical University), 30 Gaotanyan, Shapingba District, Chongqing, 400038, China
| | - Dan Luo
- Department of Biological and Environmental Engineering, Cornell University, Ithaca, NY, 14853-5701, USA
| | - Yunxia Wang
- Department of Clinical Laboratory Medicine, Southwest Hospital, Third Military Medical University (Army Medical University), 30 Gaotanyan, Shapingba District, Chongqing, 400038, China
| | - Kai Chang
- Department of Clinical Laboratory Medicine, Southwest Hospital, Third Military Medical University (Army Medical University), 30 Gaotanyan, Shapingba District, Chongqing, 400038, China
| | - Ming Chen
- Department of Clinical Laboratory Medicine, Southwest Hospital, Third Military Medical University (Army Medical University), 30 Gaotanyan, Shapingba District, Chongqing, 400038, China.,College of Pharmacy and Laboratory Medicine, Third Military Medical University (Army Medical University), 30 Gaotanyan, Shapingba District, Chongqing, 400038, China.,State Key Laboratory of Trauma, Burn and Combined Injury, Third Military Medical University (Army Medical University), 30 Gaotanyan, Shapingba District, Chongqing, 400038, China
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3
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How to Obtain a High Quality ctDNA in Lymphoma Patients: Preanalytical Tips and Tricks. Pharmaceuticals (Basel) 2021; 14:ph14070617. [PMID: 34206947 PMCID: PMC8308879 DOI: 10.3390/ph14070617] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Revised: 06/22/2021] [Accepted: 06/24/2021] [Indexed: 01/20/2023] Open
Abstract
The analysis of circulating tumor DNA (ctDNA) released by tumor cells holds great promise for patients with lymphoma, to refine the diagnostic procedure, clarify the prognosis, monitor the response to treatment, and detect relapses earlier. One of the main challenges of the coming years is to adapt techniques from highly specialized translational teams to routine laboratories as this requires a careful technical and clinical validation, and we have to achieve this as fast as possible to transform a promising biomarker into a routine analysis to have a direct consequence on patient care. Whatever the analytical technology used, the prerequisite is to obtain high yields of ctDNA of optimal quality. In this review, we propose a step-by-step description of the preanalytical process to obtain high-quality ctDNA, emphasizing the technical choices that need to be made and the experimental data that can support these choices.
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4
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Quantification of Circulating Cell Free Mitochondrial DNA in Extracellular Vesicles with PicoGreen™ in Liquid Biopsies: Fast Assessment of Disease/Trauma Severity. Cells 2021; 10:cells10040819. [PMID: 33917426 PMCID: PMC8067453 DOI: 10.3390/cells10040819] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2021] [Revised: 04/01/2021] [Accepted: 04/02/2021] [Indexed: 12/25/2022] Open
Abstract
The analysis of circulating cell free DNA (ccf-DNA) is an emerging diagnostic tool for the detection and monitoring of tissue injury, disease progression, and potential treatment effects. Currently, most of ccf-DNA in tissue and liquid biopsies is analysed with real-time quantitative PCR (qPCR) that is primer- and template-specific, labour intensive and cost-inefficient. In this report we directly compare the amounts of ccf-DNA in serum of healthy volunteers, and subjects presenting with various stages of lung adenocarcinoma, and survivors of traumatic brain injury using qPCR and quantitative PicoGreen™ fluorescence assay. A significant increase of ccf-DNA in lung adenocarcinoma and traumatic brain injury patients, in comparison to the group of healthy human subjects, was found using both analytical methods. However, the direct correlation between PicoGreen™ fluorescence and qPCR was found only when mitochondrial DNA (mtDNA)-specific primers were used. Further analysis of the location of ccf-DNA indicated that the majority of DNA is located within lumen of extracellular vesicles (EVs) and is easily detected with mtDNA-specific primers. We have concluded that due to the presence of active DNases in the blood, the analysis of DNA within EVs has the potential of providing rapid diagnostic outcomes. Moreover, we speculate that accurate and rapid quantification of ccf-DNA with PicoGreen™ fluorescent probe used as a point of care approach could facilitate immediate assessment and treatment of critically ill patients.
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Dasari A, Morris VK, Allegra CJ, Atreya C, Benson AB, Boland P, Chung K, Copur MS, Corcoran RB, Deming DA, Dwyer A, Diehn M, Eng C, George TJ, Gollub MJ, Goodwin RA, Hamilton SR, Hechtman JF, Hochster H, Hong TS, Innocenti F, Iqbal A, Jacobs SA, Kennecke HF, Lee JJ, Lieu CH, Lenz HJ, Lindwasser OW, Montagut C, Odisio B, Ou FS, Porter L, Raghav K, Schrag D, Scott AJ, Shi Q, Strickler JH, Venook A, Yaeger R, Yothers G, You YN, Zell JA, Kopetz S. ctDNA applications and integration in colorectal cancer: an NCI Colon and Rectal-Anal Task Forces whitepaper. Nat Rev Clin Oncol 2020; 17:757-770. [PMID: 32632268 PMCID: PMC7790747 DOI: 10.1038/s41571-020-0392-0] [Citation(s) in RCA: 193] [Impact Index Per Article: 48.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/12/2020] [Indexed: 02/07/2023]
Abstract
An increasing number of studies are describing potential uses of circulating tumour DNA (ctDNA) in the care of patients with colorectal cancer. Owing to this rapidly developing area of research, the Colon and Rectal-Anal Task Forces of the United States National Cancer Institute convened a panel of multidisciplinary experts to summarize current data on the utility of ctDNA in the management of colorectal cancer and to provide guidance in promoting the efficient development and integration of this technology into clinical care. The panel focused on four key areas in which ctDNA has the potential to change clinical practice, including the detection of minimal residual disease, the management of patients with rectal cancer, monitoring responses to therapy, and tracking clonal dynamics in response to targeted therapies and other systemic treatments. The panel also provides general guidelines with relevance for ctDNA-related research efforts, irrespective of indication.
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Affiliation(s)
- Arvind Dasari
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
| | - Van K Morris
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Chloe Atreya
- University of California at San Francisco Comprehensive Cancer Center, San Francisco, CA, USA
| | - Al B Benson
- Division of Hematology/Oncology, Northwestern University, Chicago, IL, USA
| | - Patrick Boland
- Department of Medicine, Roswell Park Cancer Center, Buffalo, NY, USA
| | - Ki Chung
- Division of Hematology & Oncology, Medical University of South Carolina, Charleston, SC, USA
| | - Mehmet S Copur
- CHI Health St Francis Cancer Treatment Center, Grand Island, NE, USA
| | - Ryan B Corcoran
- Department of Medical Oncology, Massachusetts General Hospital Cancer Center, Boston, MA, USA
| | - Dustin A Deming
- Division of Hematology, Medical Oncology and Palliative Care, Department of Medicine, University of Wisconsin-Madison, Madison, WI, USA
| | - Andrea Dwyer
- University of Colorado Cancer Center, Aurora, CO, USA
| | - Maximilian Diehn
- Department of Radiation Oncology, Stanford University, Stanford, CA, USA
| | - Cathy Eng
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Thomas J George
- Department of Medicine, University of Florida Health Cancer Center, Gainesville, FL, USA
| | - Marc J Gollub
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | - Stanley R Hamilton
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jaclyn F Hechtman
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Howard Hochster
- Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA
| | - Theodore S Hong
- Department of Radiation Oncology, Massachusetts General Hospital Cancer Center, Boston, MD, USA
| | - Federico Innocenti
- Center for Pharmacogenomics and Individualized Therapy, University of North Carolina, Chapel Hill, NC, USA
| | - Atif Iqbal
- Section of Colorectal Surgery, Division of Surgery, Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | - Samuel A Jacobs
- National Adjuvant Surgical and Bowel Project Foundation/NRG Oncology, Pittsburgh, PA, USA
| | - Hagen F Kennecke
- Department of Oncology, Virginia Mason Cancer Institute, Seattle, WA, USA
| | - James J Lee
- Division of Hematology-Oncology, Department of Medicine, University of Pittsburgh Medical Center, Hillman Cancer Center, Pittsburgh, PA, USA
| | - Christopher H Lieu
- Division of Medical Oncology, University of Colorado Cancer Center, Aurora, CO, USA
| | - Heinz-Josef Lenz
- Department of Preventive Medicine, University of Southern California/Norris Comprehensive Cancer Center, Los Angeles, CA, USA
| | - O Wolf Lindwasser
- Coordinating Center for Clinical Trials, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Clara Montagut
- Hospital del Mar-Institut Hospital del Mar d'Investigacions Mèdiques, Universitat Pompeu Fabra, Barcelona, Spain
| | - Bruno Odisio
- Department of Interventional Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Fang-Shu Ou
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, USA
| | - Laura Porter
- Patient Advocate, NCI Colon Task Force, Boston, MA, USA
| | - Kanwal Raghav
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Deborah Schrag
- Division of Population Sciences, Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Aaron J Scott
- Division of Hematology and Oncology, Banner University of Arizona Cancer Center, Tucson, AZ, USA
| | - Qian Shi
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, USA
| | - John H Strickler
- Division of Medical Oncology, Department of Medicine, Duke University Medical Center, Durham, NC, USA
| | - Alan Venook
- University of California at San Francisco Comprehensive Cancer Center, San Francisco, CA, USA
| | - Rona Yaeger
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Greg Yothers
- Department of Biostatistics, University of Pittsburgh, Pittsburgh, PA, USA
| | - Y Nancy You
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jason A Zell
- Department of Epidemiology, Chao Family Comprehensive Cancer Center, University of California, Irvine, CA, USA
- Division of Hematology/Oncology, Department of Medicine, University of California, Irvine, CA, USA
| | - Scott Kopetz
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
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Koessler T, Paradiso V, Piscuoglio S, Nienhold R, Ho L, Christinat Y, Terracciano LM, Cathomas G, Wicki A, McKee TA, Nouspikel T. Reliability of liquid biopsy analysis: an inter-laboratory comparison of circulating tumor DNA extraction and sequencing with different platforms. J Transl Med 2020; 100:1475-1484. [PMID: 32616816 DOI: 10.1038/s41374-020-0459-7] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Revised: 06/19/2020] [Accepted: 06/19/2020] [Indexed: 01/11/2023] Open
Abstract
Liquid biopsy, the analysis of circulating tumor DNA (ctDNA), is a promising tool in oncology, especially in personalized medicine. Although its main applications currently focus on selection and adjustment of therapy, ctDNA may also be used to monitor residual disease, establish prognosis, detect relapses, and possibly screen at-risk individuals. CtDNA represents a small and variable proportion of circulating cell-free DNA (ccfDNA) which is itself present at a low concentration in normal individuals and so analyzing ctDNA is technically challenging. Various commercial systems have recently appeared on the market, but it remains difficult for practitioners to compare their performance and to determine whether they yield comparable results. As a first step toward establishing national guidelines for ctDNA analyses, four laboratories in Switzerland joined a comparative exercise to assess ccfDNA extraction and ctDNA analysis by sequencing. Extraction was performed using six distinct methods and yielded ccfDNA of equally high quality, suitable for sequencing. Sequencing of synthetic samples containing predefined amounts of eight mutations was performed on three different systems, with similar results. In all four laboratories, mutations were easily identified down to 1% allele frequency, whereas detection at 0.1% proved challenging. Linearity was excellent in all cases and while molecular yield was superior with one system this did not impact on sensitivity. This study also led to several additional conclusions: First, national guidelines should concentrate on principles of good laboratory practice rather than recommend a particular system. Second, it is essential that laboratories thoroughly validate every aspect of extraction and sequencing, in particular with respect to initial amount of DNA and average sequencing depth. Finally, as software proved critical for mutation detection, laboratories should validate the performance of variant callers and underlying algorithms with respect to various types of mutations.
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Affiliation(s)
- Thibaud Koessler
- Department of Oncology, Geneva University Hospitals, Geneva, Switzerland
| | - Viola Paradiso
- Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
| | - Salvatore Piscuoglio
- Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland.,Visceral surgery research laboratory, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Ronny Nienhold
- Institute of Pathology, Cantonal Hospital Basel-Land, Liestal, Switzerland
| | - Liza Ho
- Clinical Pathology Service, Diagnostic Department, Geneva University Hospitals, Geneva, Switzerland
| | - Yann Christinat
- Clinical Pathology Service, Diagnostic Department, Geneva University Hospitals, Geneva, Switzerland
| | - Luigi M Terracciano
- Institute of Medical Genetics and Pathology, University Hospital Basel, Basel, Switzerland
| | - Gieri Cathomas
- Visceral surgery research laboratory, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Andreas Wicki
- Department of Oncology & Hematology, Medical University Clinic, Cantonal Hospital Basel-Land, Liestal, and University of Basel, Basel, Switzerland
| | - Thomas A McKee
- Clinical Pathology Service, Diagnostic Department, Geneva University Hospitals, Geneva, Switzerland
| | - Thierry Nouspikel
- Medical Genetics, Diagnostic Department, Geneva University Hospitals, Geneva, Switzerland.
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Friedlaender A, Nouspikel T, Christinat Y, Ho L, McKee T, Addeo A. Tissue-Plasma TMB Comparison and Plasma TMB Monitoring in Patients With Metastatic Non-small Cell Lung Cancer Receiving Immune Checkpoint Inhibitors. Front Oncol 2020; 10:142. [PMID: 32117779 PMCID: PMC7028749 DOI: 10.3389/fonc.2020.00142] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2019] [Accepted: 01/27/2020] [Indexed: 12/13/2022] Open
Abstract
Immuno-oncology is an ever growing field that has seen important progress across the spectrum of cancers. Responses can be deep and durable. However, as only a minority of patients respond to checkpoint inhibition, predictive biomarkers are needed. Cancer is a genetic disease arising from the accumulation of somatic mutations in the DNA of affected cells. Tumor mutational burden (TMB), represents the number of somatic mutations in a tumor that form neoantigens, responsible for the immunogenicity of tumors. Randomized controlled trials have so far failed to show a survival benefit when stratifying patients by tissue TMB. TMB has also been evaluated in plasma (PTMB). PTMB is anticipated to represent the biology of the entire cancer, whereas obtaining tissue of an amenable primary or a metastatic lesion may be prone to sampling bias because of tumor heterogeneity. For this reason, we are evaluating the correlation between TMB and PTMB, and prospectively evaluating the impact of these biomarkers on clinical outcomes. We also discuss the technical difficulties inherent to performing and comparing these analyses. Furthermore, we evaluate the correlation between the evolution of PTMB during an immunotherapy treatment and response at 3 and 6 months, as we believe PTMB may be a dynamic biomarker. In this paper, we present results from the first 4 patients in this project.
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Affiliation(s)
- Alex Friedlaender
- Department of Oncology, University Hospital of Geneva (HUG), Geneva, Switzerland
| | - Thierry Nouspikel
- Service of Medical Genetics, Diagnostics Department, University Hospital of Geneva, Geneva, Switzerland
| | - Yann Christinat
- Department of Pathology, University Hospital of Geneva, Geneva, Switzerland
| | - Liza Ho
- Department of Pathology, University Hospital of Geneva, Geneva, Switzerland
| | - Thomas McKee
- Department of Pathology, University Hospital of Geneva, Geneva, Switzerland
| | - Alfredo Addeo
- Department of Oncology, University Hospital of Geneva (HUG), Geneva, Switzerland
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Zeng J, Johnson A, Shufean MA, Kahle M, Yang D, Woodman SE, Vu T, Moorthy S, Holla V, Meric-Bernstam F. Operationalization of Next-Generation Sequencing and Decision Support for Precision Oncology. JCO Clin Cancer Inform 2019; 3:1-12. [PMID: 31550176 PMCID: PMC6874004 DOI: 10.1200/cci.19.00089] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/24/2019] [Indexed: 12/18/2022] Open
Abstract
Genomic testing has become a part of routine oncology care and plays critical roles in diagnosis, prognostic assessment, and treatment selection. Thus, in parallel, the variety of genomic testing providers and sequencing platforms has grown exponentially. Selection of the best-fit panel for each case can be daunting, with many factors to consider. Among them is whether alteration interpretation and therapy/clinical trial matching are included and/or sufficient. In this article, we review some common commercially available sequencing platforms for the genes and types of alterations tested, samples needed, and reporting content provided. We review publicly available resources for a do-it-yourself approach to alteration interpretation when it is not provided or when supplemental research is needed, along with resources to identify genomically matched treatment options that are approved and/or investigational. However, with both commercially provided interpretation and publicly available resources, there are still caveats and limitations that can stem from insufficient or ambiguous nomenclature as well as from the presentation of information. Use cases in which clinical decision making was affected are discussed. After treatment options are identified, it is important to assess the level of evidence for use within the patient's tumor type and molecular profile. However, numerous level-of-evidence scales have been published in recent years, so we provide a publicly available tool to facilitate interoperability. The level of evidence, along with other factors, such as allelic frequency and copy number, can be used to prioritize treatment options when multiple are identified.
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Affiliation(s)
- Jia Zeng
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Amber Johnson
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Md Abu Shufean
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Michael Kahle
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Dong Yang
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | | | - Thuy Vu
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Shhyam Moorthy
- The University of Texas MD Anderson Cancer Center, Houston, TX
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