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Stenzinger A, Vogel A, Lehmann U, Lamarca A, Hofman P, Terracciano L, Normanno N. Molecular profiling in cholangiocarcinoma: A practical guide to next-generation sequencing. Cancer Treat Rev 2024; 122:102649. [PMID: 37984132 DOI: 10.1016/j.ctrv.2023.102649] [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: 09/20/2023] [Accepted: 10/29/2023] [Indexed: 11/22/2023]
Abstract
Cholangiocarcinomas (CCA) are a heterogeneous group of tumors that are classified as intrahepatic, perihilar, or distal according to the anatomic location within the biliary tract. Each CCA subtype is associated with distinct genomic alterations, including single nucleotide variants, copy number variants, and chromosomal rearrangements or gene fusions, each of which can influence disease prognosis and/or treatment outcomes. Molecular profiling using next-generation sequencing (NGS) is a powerful technique for identifying unique gene variants carried by an individual tumor, which can facilitate their accurate diagnosis as well as promote the optimal selection of gene variant-matched targeted treatments. NGS is particularly useful in patients with CCA because between one-third and one-half of these patients have genomic alterations that can be targeted by drugs that are either approved or in clinical development. NGS can also provide information about disease evolution and secondary resistance alterations that can develop during targeted therapy, and thus facilitate assessment of prognosis and choice of alternative targeted treatments. Pathologists play a critical role in assessing the viability of biopsy samples for NGS, and advising treating clinicians whether NGS can be performed and which of the available platforms should be used to optimize testing outcomes. This review aims to provide clinical pathologists and other healthcare professionals with practical step-by-step guidance on the use of NGS for molecular profiling of patients with CCA, with respect to tumor biopsy techniques, pre-analytic sample preparation, selecting the appropriate NGS panel, and understanding and interpreting results of the NGS test.
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Affiliation(s)
- Albrecht Stenzinger
- Institute of Pathology Heidelberg (IPH), Center for Molecular Pathology, University Hospital Heidelberg, In Neuenheimer Feld 224, 69120 Heidelberg, Building 6224, Germany.
| | - Arndt Vogel
- Division of Gastroenterology and Hepatology, Toronto General Hospital Medical Oncology, Princess Margaret Cancer Centre, Schwartz Reisman Liver Research Centre, 200 Elizabeth Street, Office: 9 EB 236 Toronto, ON, M5G 2C4, Canada.
| | - Ulrich Lehmann
- Institute for Pathology, Hannover Medical School, Carl-Neuberg-Straße 1, 30625 Hannover, Germany.
| | - Angela Lamarca
- Department of Medical Oncology, Oncohealth Institute, Instituto de Investigación Sanitaria de la Fundación Jiménez Díaz, Fundación Jiménez Díaz University Hospital, Av. de los Reyes Católicos, 2, 28040 Madrid, Spain; Department of Medical Oncology, The Christie NHS Foundation Trust, Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Oxford Road, Manchester, M13 9PL, UK.
| | - Paul Hofman
- Laboratory of Clinical and Experimental Pathology, FHU OncoAge, IHU RespirERA, Siège de l'Université: Grand Château, 28 Avenue de Valrose, 06103 Nice CEDEX 2, France.
| | - Luigi Terracciano
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini, 4, 20072 Pieve Emanuele, Milan, Italy; IRCCS Humanitas Research Hospital, Via Alessandro Manzoni, 56, 20089 Rozzano, Milan, Italy.
| | - Nicola Normanno
- Cell Biology and Biotherapy Unit, Istituto Nazionale Tumori - IRCCS - Fondazione G. Pascale, Napoli, Italy.
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Hussen BM, Abdullah ST, Salihi A, Sabir DK, Sidiq KR, Rasul MF, Hidayat HJ, Ghafouri-Fard S, Taheri M, Jamali E. The emerging roles of NGS in clinical oncology and personalized medicine. Pathol Res Pract 2022; 230:153760. [PMID: 35033746 DOI: 10.1016/j.prp.2022.153760] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Revised: 12/29/2021] [Accepted: 01/06/2022] [Indexed: 02/07/2023]
Abstract
Next-generation sequencing (NGS) has been increasingly popular in genomics studies over the last decade, as new sequencing technology has been created and improved. Recently, NGS started to be used in clinical oncology to improve cancer therapy through diverse modalities ranging from finding novel and rare cancer mutations, discovering cancer mutation carriers to reaching specific therapeutic approaches known as personalized medicine (PM). PM has the potential to minimize medical expenses by shifting the current traditional medical approach of treating cancer and other diseases to an individualized preventive and predictive approach. Currently, NGS can speed up in the early diagnosis of diseases and discover pharmacogenetic markers that help in personalizing therapies. Despite the tremendous growth in our understanding of genetics, NGS holds the added advantage of providing more comprehensive picture of cancer landscape and uncovering cancer development pathways. In this review, we provided a complete overview of potential NGS applications in scientific and clinical oncology, with a particular emphasis on pharmacogenomics in the direction of precision medicine treatment options.
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Affiliation(s)
- Bashdar Mahmud Hussen
- Department Pharmacognosy, College of Pharmacy, Hawler Medical University, Kurdistan Region, Erbil, Iraq; Center of Research and Strategic Studies, Lebanese French University, Kurdistan Region, Erbil, Iraq
| | - Sara Tharwat Abdullah
- Department of Pharmacology and Toxicology, College of Pharmacy, Hawler Medical University, Erbil, Iraq
| | - Abbas Salihi
- Center of Research and Strategic Studies, Lebanese French University, Kurdistan Region, Erbil, Iraq; Department of Biology, College of Science, Salahaddin University, Kurdistan Region, Erbil, Iraq
| | - Dana Khdr Sabir
- Department of Medical Laboratory Sciences, Charmo University, Kurdistan Region, Iraq
| | - Karzan R Sidiq
- Department of Biology, College of Education, University of Sulaimani, Sulaimani 334, Kurdistan, Iraq
| | - Mohammed Fatih Rasul
- Department of Medical Analysis, Faculty of Applied Science, Tishk International University, Kurdistan Region, Erbil, Iraq
| | - Hazha Jamal Hidayat
- Department of Biology, College of Education, Salahaddin University, Kurdistan Region, Erbil, Iraq
| | - Soudeh Ghafouri-Fard
- Department of Medical Genetics, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mohammad Taheri
- Institute of Human Genetics, Jena University Hospital, Jena, Germany; Urology and Nephrology Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
| | - Elena Jamali
- Skull Base Research Center, Loghman Hakim Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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3
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Nair SV, Madhulaxmi, Thomas G, Ankathil R. Next-Generation Sequencing in Cancer. J Maxillofac Oral Surg 2021; 20:340-344. [PMID: 34408360 DOI: 10.1007/s12663-020-01462-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2019] [Accepted: 09/28/2020] [Indexed: 11/28/2022] Open
Abstract
Objective In this article, we provide a gestalt idea about NGS technologies and their applications in cancer research and molecular diagnosis. Background Next-generation sequencing (NGS) advancements like DNA sequencing and RNA sequencing allow uncovering of genomic, transcriptomic, and epigenomic scenes of individual malignant growths. An assortment of genomic abnormalities can be screened at the same time, for example common and uncommon variations, auxiliary variations like insertions and deletions, copy-number variation, and fusion transcripts. Conclusion NGS innovations together with bioinformatics investigation, which extend our insight, are progressively used to analyze multiple genes in a cost-effective way and have been applied in examining clinical cancer samples and offering NGS-based molecular diagnosis. Application NGS is progressively significant as a device for the diagnosis of cancers.
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Affiliation(s)
- S Vinod Nair
- Department of Oral and Maxillofacial Surgery, P.M.S Dental College, Vattapara, Trivandrum, India
| | - Madhulaxmi
- Department of Oral and Maxillofacial Surgery, Saveetha Dental College, Chennai, India
| | - Gigi Thomas
- Community Medicine, Regional Cancer Centre, Trivandrum, India
| | - Ravindran Ankathil
- Human Genome Centre, School of Medical Sciences, Health Campus, Universiti Sains Malaysia, George Town, Malaysia
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Link JM, Liudahl SM, Betts CB, Sivagnanam S, Leis KR, McDonnell M, Pelz CR, Johnson B, Hamman KJ, Keith D, Sampson JE, Morgan TK, Lopez CD, Coussens LM, Sears RC. Tumor-Infiltrating Leukocyte Phenotypes Distinguish Outcomes in Related Patients With Pancreatic Adenocarcinoma. JCO Precis Oncol 2021; 5:PO.20.00287. [PMID: 34036232 PMCID: PMC8140804 DOI: 10.1200/po.20.00287] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Revised: 10/23/2020] [Accepted: 12/01/2020] [Indexed: 12/14/2022] Open
Affiliation(s)
- Jason M. Link
- Department of Molecular and Medical Genetics, Oregon Health and Science University, Portland, OR
- Brenden-Colson Center for Pancreatic Care, Oregon Health and Science University, Portland, OR
| | - Shannon M. Liudahl
- Department of Cell, Developmental, and Cancer Biology, Oregon Health & Science University, Portland, OR
| | - Courtney B. Betts
- Department of Cell, Developmental, and Cancer Biology, Oregon Health & Science University, Portland, OR
| | | | - Kenna R. Leis
- Computational Biology, Oregon Health and Science University, Portland, OR
| | - Mary McDonnell
- Brenden-Colson Center for Pancreatic Care, Oregon Health and Science University, Portland, OR
- Department of Biomedical Engineering and OHSU Center for Spatial Systems Biomedicine, Oregon Health and Science University, Portland, OR
| | - Carl R. Pelz
- Brenden-Colson Center for Pancreatic Care, Oregon Health and Science University, Portland, OR
- Computational Biology, Oregon Health and Science University, Portland, OR
| | - Brett Johnson
- Department of Biomedical Engineering and OHSU Center for Spatial Systems Biomedicine, Oregon Health and Science University, Portland, OR
| | - Kelly J. Hamman
- Department of Molecular and Medical Genetics, Oregon Health and Science University, Portland, OR
| | - Dove Keith
- Brenden-Colson Center for Pancreatic Care, Oregon Health and Science University, Portland, OR
| | - Jone E. Sampson
- Department of Molecular and Medical Genetics, Oregon Health and Science University, Portland, OR
| | - Terry K. Morgan
- Department of Cell, Developmental, and Cancer Biology, Oregon Health & Science University, Portland, OR
- Department of Pathology, Oregon Health and Science University, Portland, OR
- Knight Cancer Institute, Portland, OR
| | - Charles D. Lopez
- Brenden-Colson Center for Pancreatic Care, Oregon Health and Science University, Portland, OR
- Department of Hematology and Oncology, Portland, OR
- Knight Cancer Institute, Portland, OR
| | - Lisa M. Coussens
- Brenden-Colson Center for Pancreatic Care, Oregon Health and Science University, Portland, OR
- Department of Cell, Developmental, and Cancer Biology, Oregon Health & Science University, Portland, OR
- Knight Cancer Institute, Portland, OR
| | - Rosalie C. Sears
- Department of Molecular and Medical Genetics, Oregon Health and Science University, Portland, OR
- Brenden-Colson Center for Pancreatic Care, Oregon Health and Science University, Portland, OR
- Knight Cancer Institute, Portland, OR
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Kiwerska K, Wroblewska J, Kaluzna A, Marszalek A. Justification of direct Sanger sequencing application for detection of KIT and PDGFRα gene mutations in formalin-fixed, paraffin-embedded samples from gastrointestinal stromal tumours. J Clin Pathol 2019; 73:213-219. [PMID: 31649039 DOI: 10.1136/jclinpath-2019-206225] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2019] [Revised: 10/01/2019] [Accepted: 10/02/2019] [Indexed: 12/18/2022]
Abstract
AIMS The knowledge concerning genetic background of gastrointestinal stromal tumours (GISTs) is well recognised, and the accurate detection of KIT and PDGFRα mutations is of great importance for the process of disease diagnosis and patient's treatment. In this study, we compare the usefulness of real-time PCR-based techniques and Sanger sequencing to detect mutations of both genes in 41 formalin-fixed, paraffin-embedded GIST samples. METHODS The analysis encompassed most frequently mutated coding regions of KIT (exons 9, 11, 13 and 17) and PDGFRα (exons 12, 14 and 18) genes. The GIST Mutation Detection Kit (EntroGen), direct Sanger sequencing and high-resolution melting (HRM) analysis were applied to conduct the study. RESULTS With the application of EntroGen kit, we found alterations in 22/38 samples, with Sanger sequencing variants were found in 36/41 samples. The concordant results for both methods were observed in 19/38 samples. With subsequently applied HRM analysis, we have confirmed that all samples, except one, harboured alterations in the regions indicated by Sanger sequencing. CONCLUSIONS Our results show that in GIST samples, carrying a broad spectrum of deletions, Sanger sequencing is a better, more sensitive method for mutational analysis of KIT and PDGFRα genes.
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Affiliation(s)
- Katarzyna Kiwerska
- Department of Tumor Pathology, Greater Poland Cancer Centre, Poznan, Poland .,Institute of Human Genetics, Polish Academy of Sciences, Poznan, Poland
| | - Joanna Wroblewska
- Department of Tumor Pathology and Prophylaxis, Poznan University of Medical Sciences & Greater Poland Cancer Centre, Poznan, Poland
| | - Apolonia Kaluzna
- Department of Tumor Pathology and Prophylaxis, Poznan University of Medical Sciences & Greater Poland Cancer Centre, Poznan, Poland
| | - Andrzej Marszalek
- Department of Tumor Pathology and Prophylaxis, Poznan University of Medical Sciences & Greater Poland Cancer Centre, Poznan, Poland
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Sone M, Arai Y, Sugawara S, Kubo T, Itou C, Hasegawa T, Umakoshi N, Yamamoto N, Sunami K, Hiraoka N, Kubo T. Feasibility of genomic profiling with next-generation sequencing using specimens obtained by image-guided percutaneous needle biopsy. Ups J Med Sci 2019; 124:119-124. [PMID: 31179853 PMCID: PMC6567228 DOI: 10.1080/03009734.2019.1607635] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
Aims: The demand for specimen collection for genomic profiling is rapidly increasing in the era of personalized medicine. Percutaneous needle biopsy is recognized as minimally invasive, but the feasibility of comprehensive genomic analysis using next-generation sequencing (NGS) is not yet clear. The purpose of this study was to evaluate the feasibility of genomic analysis using NGS with specimens obtained by image-guided percutaneous needle biopsy with 18-G needles. Patients and methods: Forty-eight patients who participated in a clinical study of genomic profiling with NGS with the specimen obtained by image-guided needle biopsy were included. All biopsies were performed under local anesthesia, with imaging guidance, using an 18-G cutting needle. A retrospective chart review was performed to determine the rate of successful genomic analysis, technical success rate of biopsy procedure, adverse events, rate of success in pathological diagnosis, and cause of failed genomic analysis. Results: The success rate of genomic analysis was 79.2% (38/48). The causes of failure were unprocessed for DNA extraction due to insufficient specimen volume (6/10), insufficient DNA volume (2/10), and deteriorated DNA quality (2/10). The rate of successful genomic analysis excluding NGS analysis that failed for reasons unrelated to the biopsy procedures was 95.2% (40/42). Technical success of biopsy was achieved in all patients without severe adverse events. The rate of success in the pathological diagnosis was 97.9% (47/48). Conclusions: Image-guided needle biopsy specimens using an 18-G cutting needle yielded a successful NGS genomic analysis rate with no severe adverse events and could be an adoptable method for tissue sampling for NGS.
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Affiliation(s)
- Miyuki Sone
- Department of Diagnostic Radiology, National Cancer Center Hospital, Tokyo, Japan
- CONTACT Miyuki Sone Department of Diagnostic Radiology, National Cancer Center, 5-1-1, Tsukiji, Chuo-ku, Tokyo1040045, Japan
| | - Yasuaki Arai
- Department of Diagnostic Radiology, National Cancer Center Hospital, Tokyo, Japan
| | - Shunsuke Sugawara
- Department of Diagnostic Radiology, National Cancer Center Hospital, Tokyo, Japan
| | - Takatoshi Kubo
- Department of Diagnostic Radiology, National Cancer Center Hospital, Tokyo, Japan
| | - Chihiro Itou
- Department of Diagnostic Radiology, National Cancer Center Hospital, Tokyo, Japan
| | - Tetsuya Hasegawa
- Department of Diagnostic Radiology, National Cancer Center Hospital, Tokyo, Japan
| | - Noriyuki Umakoshi
- Department of Diagnostic Radiology, National Cancer Center Hospital, Tokyo, Japan
| | - Noboru Yamamoto
- Department of Experimental Therapeutics, National Cancer Center Hospital, Tokyo, Japan
| | - Kumiko Sunami
- Department of Pathology and Clinical Laboratories, National Cancer Center Hospital, Tokyo, Japan
| | - Nobuyoshi Hiraoka
- Department of Pathology and Clinical Laboratories, National Cancer Center Hospital, Tokyo, Japan
| | - Takashi Kubo
- Division of Translational Genomics, Exploratory Oncology Research & Clinical Trial Center, National Cancer Center, Tokyo, Japan
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Giardina T, Robinson C, Grieu-Iacopetta F, Millward M, Iacopetta B, Spagnolo D, Amanuel B. Implementation of next generation sequencing technology for somatic mutation detection in routine laboratory practice. Pathology 2018; 50:389-401. [DOI: 10.1016/j.pathol.2018.01.005] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2017] [Revised: 12/21/2017] [Accepted: 01/09/2018] [Indexed: 02/08/2023]
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Cho M, Ahn S, Hong M, Bang H, Van Vrancken M, Kim S, Lee J, Park SH, Park JO, Park YS, Lim HY, Kang WK, Sun JM, Lee SH, Ahn MJ, Park K, Kim DH, Lee S, Park W, Kim KM. Tissue recommendations for precision cancer therapy using next generation sequencing: a comprehensive single cancer center's experiences. Oncotarget 2018; 8:42478-42486. [PMID: 28477007 PMCID: PMC5522081 DOI: 10.18632/oncotarget.17199] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2017] [Accepted: 04/05/2017] [Indexed: 02/02/2023] Open
Abstract
To generate accurate next-generation sequencing (NGS) data, the amount and quality of DNA extracted is critical. We analyzed 1564 tissue samples from patients with metastatic or recurrent solid tumor submitted for NGS according to their sample size, acquisition method, organ, and fixation to propose appropriate tissue requirements. Of the 1564 tissue samples, 481 (30.8%) consisted of fresh-frozen (FF) tissue, and 1,083 (69.2%) consisted of formalin-fixed paraffin-embedded (FFPE) tissue. We obtained successful NGS results in 95.9% of cases. Out of 481 FF biopsies, 262 tissue samples were from lung, and the mean fragment size was 2.4 mm. Compared to lung, GI tract tumor fragments showed a significantly lower DNA extraction failure rate (2.1 % versus 6.1%, p = 0.04). For FFPE biopsy samples, the size of biopsy tissue was similar regardless of tumor type with a mean of 0.8 × 0.3 cm, and the mean DNA yield per one unstained slide was 114 ng. We obtained highest amount of DNA from the colorectum (2353 ng) and the lowest amount from the hepatobiliary tract (760.3 ng) likely due to a relatively smaller biopsy size, extensive hemorrhage and necrosis, and lower tumor volume. On one unstained slide from FFPE operation specimens, the mean size of the specimen was 2.0 × 1.0 cm, and the mean DNA yield per one unstained slide was 1800 ng. In conclusions, we present our experiences on tissue requirements for appropriate NGS workflow: > 1 mm2 for FF biopsy, > 5 unstained slides for FFPE biopsy, and > 1 unstained slide for FFPE operation specimens for successful test results in 95.9% of cases.
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Affiliation(s)
- Minho Cho
- Center for Cancer Companion Diagnostics, The Innovative Cancer Medicine Institute, Samsung Medical Center, Seoul, Korea.,Present address: Department of Integrated Health and Environmental Science, College of Health Science, Korea University, Seoul, Korea
| | - Soomin Ahn
- Department of Pathology and Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Mineui Hong
- Center for Cancer Companion Diagnostics, The Innovative Cancer Medicine Institute, Samsung Medical Center, Seoul, Korea.,Department of Pathology and Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Heejin Bang
- Center for Cancer Companion Diagnostics, The Innovative Cancer Medicine Institute, Samsung Medical Center, Seoul, Korea.,Department of Pathology and Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Michael Van Vrancken
- Department of Pathology and Laboratory Medicine, Tulane University School of Medicine, New Orleans, Louisiana, USA
| | - Seungtae Kim
- Department of Medicine, Division of Hematology-Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jeeyun Lee
- Department of Medicine, Division of Hematology-Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Se Hoon Park
- Department of Medicine, Division of Hematology-Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Joon Oh Park
- Department of Medicine, Division of Hematology-Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Young Suk Park
- Department of Medicine, Division of Hematology-Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Ho Yeong Lim
- Department of Medicine, Division of Hematology-Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Won Ki Kang
- Department of Medicine, Division of Hematology-Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jong-Mu Sun
- Department of Medicine, Division of Hematology-Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Se Hoon Lee
- Department of Medicine, Division of Hematology-Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Myung-Ju Ahn
- Department of Medicine, Division of Hematology-Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Keunchil Park
- Department of Medicine, Division of Hematology-Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Duk Hwan Kim
- Medical Translational Research Center, Samsung Biological Research Institute, Seoul, Korea
| | - Seunggwan Lee
- Department of Integrated Health and Environmental Science, College of Health Science, Korea University, Seoul, Korea
| | | | - Kyoung-Mee Kim
- Department of Pathology and Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
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Determining the Optimal Number of Core Needle Biopsy Passes for Molecular Diagnostics. Cardiovasc Intervent Radiol 2017; 41:489-495. [PMID: 29279975 DOI: 10.1007/s00270-017-1861-4] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2017] [Accepted: 12/14/2017] [Indexed: 02/06/2023]
Abstract
PURPOSE The number of core biopsy passes required for adequate next-generation sequencing is impacted by needle cut, needle gauge, and the type of tissue involved. This study evaluates diagnostic adequacy of core needle lung biopsies based on number of passes and provides guidelines for other tissues based on simulated biopsies in ex vivo porcine organ tissues. METHODS The rate of diagnostic adequacy for pathology and molecular testing from lung biopsy procedures was measured for eight operators pre-implementation (September 2012-October 2013) and post-implementation (December 2013-April 2014) of a standard protocol using 20-gauge side-cut needles for ten core biopsy passes at a single academic hospital. Biopsy pass volume was then estimated in ex vivo porcine muscle, liver, and kidney using side-cut devices at 16, 18, and 20 gauge and end-cut devices at 16 and 18 gauge to estimate minimum number of passes required for adequate molecular testing. RESULTS Molecular diagnostic adequacy increased from 69% (pre-implementation period) to 92% (post-implementation period) (p < 0.001) for lung biopsies. In porcine models, both 16-gauge end-cut and side-cut devices require one pass to reach the validated volume threshold to ensure 99% adequacy for molecular characterization, while 18- and 20-gauge devices require 2-5 passes depending on needle cut and tissue type. CONCLUSION Use of 20-gauge side-cut core biopsy needles requires a significant number of passes to ensure diagnostic adequacy for molecular testing across all tissue types. To ensure diagnostic adequacy for molecular testing, 16- and 18-gauge needles require markedly fewer passes.
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10
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Preparing pathology for precision medicine: challenges and opportunities. Virchows Arch 2017; 471:141-146. [PMID: 28512674 DOI: 10.1007/s00428-017-2141-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2017] [Revised: 04/26/2017] [Accepted: 05/01/2017] [Indexed: 01/05/2023]
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