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Lu Y, Lin L, Lin J, Wu B, Cai G, Wang X, Ma X. Superior detection of low-allele burden Janus kinase 2 V617F mutation and monitoring clonal evolution in myeloproliferative neoplasms using chip-based digital PCR. Ann Hematol 2024; 103:3553-3562. [PMID: 39043913 PMCID: PMC11358234 DOI: 10.1007/s00277-024-05896-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Accepted: 07/12/2024] [Indexed: 07/25/2024]
Abstract
The JAK2 V617F is a prevalent driver mutation in Philadelphia chromosome-negative myeloproliferative neoplasms (Ph-MPNs), significantly affecting disease progression, immunophenotype, and patient outcomes. The World Health Organization (WHO) guidelines highlight the JAK2 V617F mutation as one of the key diagnostic criterions for Ph-MPNs. In this study, we analyzed 283 MPN samples with the JAK2 V617F mutation to assess the effectiveness of three detection technologies: chip-based digital PCR (cdPCR), real-time quantitative PCR (qPCR), and next-generation sequencing (NGS). Additionally, we investigated the relationship between JAK2 V617F mutant allele burden (% JAK2 V617F) and various laboratory characteristics to elucidate potential implications in MPN diagnosis. Our findings demonstrated high conformance of cdPCR with qPCR/NGS for detecting % JAK2 V617F, but the mutant allele burdens detected by qPCR/NGS were lower than those detected by cdPCR. Moreover, the cdPCR exhibited high sensitivity with a limit of detection (LoD) of 0.08% and a limit of quantification (LoQ) of 0.2% for detecting % JAK2 V617F in MPNs. Clinical implications were explored by correlating % JAK2 V617F with various laboratory characteristics in MPN patients, revealing significant associations with white blood cell counts, lactate dehydrogenase levels, and particularly β2-microglobulin (β2-MG) levels. Finally, a case report illustrated the application of cdPCR in detecting low-allele burdens in a de novo chronic myeloid leukemia (CML) patient with a hidden JAK2 V617F subclone, which expanded during tyrosine kinase inhibitor (TKI) treatment. Our findings underscore the superior sensitivity and accuracy of cdPCR, making it a valuable tool for early diagnosis and monitoring clonal evolution.
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Affiliation(s)
- Yiyi Lu
- Department of Laboratory Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin Er Road, Shanghai, 200025, China
| | - Lin Lin
- Department of Laboratory Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin Er Road, Shanghai, 200025, China
| | - Jiafei Lin
- Department of Laboratory Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin Er Road, Shanghai, 200025, China
| | - Beiying Wu
- Department of Laboratory Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin Er Road, Shanghai, 200025, China
| | - Gang Cai
- Department of Laboratory Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin Er Road, Shanghai, 200025, China
| | - Xuefeng Wang
- Department of Laboratory Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin Er Road, Shanghai, 200025, China.
| | - Xuefei Ma
- Department of Laboratory Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 Ruijin Er Road, Shanghai, 200025, China.
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
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2
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Mata DA, Lee JK, Shanmugam V, Marcus CB, Schrock AB, Williams EA, Ritterhouse LL, Hickman RA, Janovitz T, Patel NR, Kroger BR, Ross JS, Mirza KM, Oxnard GR, Vergilio JA, Elvin JA, Benhamida JK, Decker B, Xu ML. Liquid biopsy-based circulating tumour (ct)DNA analysis of a spectrum of myeloid and lymphoid malignancies yields clinically actionable results. Histopathology 2024; 84:1224-1237. [PMID: 38422618 DOI: 10.1111/his.15168] [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: 10/11/2023] [Revised: 02/14/2024] [Accepted: 02/15/2024] [Indexed: 03/02/2024]
Abstract
AIMS Liquid biopsy (LBx)-based next-generation sequencing (NGS) of circulating tumour DNA (ctDNA) can facilitate molecular profiling of haematopoietic neoplasms (HNs), particularly when tissue-based NGS is infeasible. METHODS AND RESULTS We studied HN LBx samples tested with FoundationOne Liquid CDx, FoundationOne Liquid, or FoundationACT between July 2016 and March 2022. We identified 271 samples: 89 non-Hodgkin lymphoma (NHL), 43 plasma-cell neoplasm (PCN), 41 histiocytoses, 27 myelodysplastic syndrome (MDS), 25 diffuse large B-cell lymphoma (DLBCL), 22 myeloproliferative neoplasm (MPN), 14 Hodgkin lymphoma (HL), and 10 acute myeloid leukaemia (AML). Among 73.4% with detectable pathogenic alterations, median maximum somatic allele frequency (MSAF) was 16.6%, with AML (36.2%), MDS (19.7%), and MPN (44.5%) having higher MSAFs than DLBCL (3.9%), NHL (8.4%), HL (1.5%), PCN (2.8%), and histiocytoses (1.8%) (P = 0.001). LBx detected characteristic alterations across HNs, including in TP53, KRAS, MYD88, and BTK in NHLs; TP53, KRAS, NRAS, and BRAF in PCNs; IGH in DLBCL; TP53, ATM, and PDCD1LG2 in HL; BRAF and MAP2K1 in histiocytoses; TP53, SF3B1, DNMT3A, TET2, and ASXL1 in MDS; JAK2 in MPNs; and FLT3, IDH2, and NPM1 in AML. Among 24 samples, the positive percent agreement by LBx was 75.7% for variants present in paired buffy coat, marrow, or tissues. Also, 75.0% of pairs exhibited alterations only present on LBx. These were predominantly subclonal (clonal fraction of 3.8%), reflecting the analytical sensitivity of LBx. CONCLUSION These data demonstrate that LBx can detect relevant genomic alterations across HNs, including at low clonal fractions, suggesting a potential clinical utility for identifying residual or emerging therapy-resistant clones that may be undetectable in site-specific tissue biopsies.
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Affiliation(s)
| | | | - Vignesh Shanmugam
- Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Cancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | | | - Erik A Williams
- Foundation Medicine, Inc., Cambridge, MA, USA
- Department of Pathology and Laboratory Medicine, University of Miami Miller School of Medicine, Miami, FL, USA
| | | | | | | | | | - Benjamin R Kroger
- Division of Hematology/Oncology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Jeffrey S Ross
- Foundation Medicine, Inc., Cambridge, MA, USA
- Departments of Pathology, Urology, and Medicine (Oncology), State University of New York Upstate Medical University, Syracuse, New York, USA
| | - Kamran M Mirza
- Department of Pathology, Michigan Medicine, Ann Arbor, MI, USA
| | | | | | | | - Jamal K Benhamida
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | - Mina L Xu
- Department of Pathology, Yale New-Haven Hospital, Yale School of Medicine, New Haven, CT, USA
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3
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Cao X, Huber S, Ahari AJ, Traube FR, Seifert M, Oakes CC, Secheyko P, Vilov S, Scheller IF, Wagner N, Yépez VA, Blombery P, Haferlach T, Heinig M, Wachutka L, Hutter S, Gagneur J. Analysis of 3760 hematologic malignancies reveals rare transcriptomic aberrations of driver genes. Genome Med 2024; 16:70. [PMID: 38769532 PMCID: PMC11103968 DOI: 10.1186/s13073-024-01331-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Accepted: 04/04/2024] [Indexed: 05/22/2024] Open
Abstract
BACKGROUND Rare oncogenic driver events, particularly affecting the expression or splicing of driver genes, are suspected to substantially contribute to the large heterogeneity of hematologic malignancies. However, their identification remains challenging. METHODS To address this issue, we generated the largest dataset to date of matched whole genome sequencing and total RNA sequencing of hematologic malignancies from 3760 patients spanning 24 disease entities. Taking advantage of our dataset size, we focused on discovering rare regulatory aberrations. Therefore, we called expression and splicing outliers using an extension of the workflow DROP (Detection of RNA Outliers Pipeline) and AbSplice, a variant effect predictor that identifies genetic variants causing aberrant splicing. We next trained a machine learning model integrating these results to prioritize new candidate disease-specific driver genes. RESULTS We found a median of seven expression outlier genes, two splicing outlier genes, and two rare splice-affecting variants per sample. Each category showed significant enrichment for already well-characterized driver genes, with odds ratios exceeding three among genes called in more than five samples. On held-out data, our integrative modeling significantly outperformed modeling based solely on genomic data and revealed promising novel candidate driver genes. Remarkably, we found a truncated form of the low density lipoprotein receptor LRP1B transcript to be aberrantly overexpressed in about half of hairy cell leukemia variant (HCL-V) samples and, to a lesser extent, in closely related B-cell neoplasms. This observation, which was confirmed in an independent cohort, suggests LRP1B as a novel marker for a HCL-V subclass and a yet unreported functional role of LRP1B within these rare entities. CONCLUSIONS Altogether, our census of expression and splicing outliers for 24 hematologic malignancy entities and the companion computational workflow constitute unique resources to deepen our understanding of rare oncogenic events in hematologic cancers.
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Affiliation(s)
- Xueqi Cao
- School of Computation, Information and Technology, Technical University of Munich, Garching, Germany
- Graduate School of Quantitative Biosciences (QBM), Munich, Germany
| | - Sandra Huber
- Munich Leukemia Laboratory (MLL), Munich, Germany
| | - Ata Jadid Ahari
- School of Computation, Information and Technology, Technical University of Munich, Garching, Germany
| | - Franziska R Traube
- School of Computation, Information and Technology, Technical University of Munich, Garching, Germany
- Institute of Biochemistry and Technical Biochemistry, University of Stuttgart, Stuttgart, Germany
| | - Marc Seifert
- Department of Haematology, Oncology and Clinical Immunology, University Hospital Düsseldorf, Düsseldorf, Germany
| | - Christopher C Oakes
- Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, OH, USA
| | - Polina Secheyko
- School of Computation, Information and Technology, Technical University of Munich, Garching, Germany
- Faculty of Biology, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Sergey Vilov
- Computational Health Center, Helmholtz Center Munich, Neuherberg, Germany
| | - Ines F Scheller
- School of Computation, Information and Technology, Technical University of Munich, Garching, Germany
- Computational Health Center, Helmholtz Center Munich, Neuherberg, Germany
| | - Nils Wagner
- School of Computation, Information and Technology, Technical University of Munich, Garching, Germany
- Helmholtz Association - Munich School for Data Science (MUDS), Munich, Germany
| | - Vicente A Yépez
- School of Computation, Information and Technology, Technical University of Munich, Garching, Germany
| | - Piers Blombery
- Peter MacCallum Cancer Centre, Melbourne, Australia
- University of Melbourne, Melbourne, Australia
- Torsten Haferlach Leukämiediagnostik Stiftung, Munich, Germany
| | | | - Matthias Heinig
- School of Computation, Information and Technology, Technical University of Munich, Garching, Germany
- Computational Health Center, Helmholtz Center Munich, Neuherberg, Germany
| | - Leonhard Wachutka
- School of Computation, Information and Technology, Technical University of Munich, Garching, Germany.
| | | | - Julien Gagneur
- School of Computation, Information and Technology, Technical University of Munich, Garching, Germany.
- Graduate School of Quantitative Biosciences (QBM), Munich, Germany.
- Computational Health Center, Helmholtz Center Munich, Neuherberg, Germany.
- Institute of Human Genetics, School of Medicine and Health, Technical University of Munich, Munich, Germany.
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Pang AWC, Kosco K, Sahajpal NS, Sridhar A, Hauenstein J, Clifford B, Estabrook J, Chitsazan AD, Sahoo T, Iqbal A, Kolhe R, Raca G, Hastie AR, Chaubey A. Analytic Validation of Optical Genome Mapping in Hematological Malignancies. Biomedicines 2023; 11:3263. [PMID: 38137484 PMCID: PMC10741484 DOI: 10.3390/biomedicines11123263] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Revised: 11/23/2023] [Accepted: 12/04/2023] [Indexed: 12/24/2023] Open
Abstract
Structural variations (SVs) play a key role in the pathogenicity of hematological malignancies. Standard-of-care (SOC) methods such as karyotyping and fluorescence in situ hybridization (FISH), which have been employed globally for the past three decades, have significant limitations in terms of resolution and the number of recurrent aberrations that can be simultaneously assessed, respectively. Next-generation sequencing (NGS)-based technologies are now widely used to detect clinically significant sequence variants but are limited in their ability to accurately detect SVs. Optical genome mapping (OGM) is an emerging technology enabling the genome-wide detection of all classes of SVs at a significantly higher resolution than karyotyping and FISH. OGM requires neither cultured cells nor amplification of DNA, addressing the limitations of culture and amplification biases. This study reports the clinical validation of OGM as a laboratory-developed test (LDT) according to stringent regulatory (CAP/CLIA) guidelines for genome-wide SV detection in different hematological malignancies. In total, 60 cases with hematological malignancies (of various subtypes), 18 controls, and 2 cancer cell lines were used for this study. Ultra-high-molecular-weight DNA was extracted from the samples, fluorescently labeled, and run on the Bionano Saphyr system. A total of 215 datasets, Inc.luding replicates, were generated, and analyzed successfully. Sample data were then analyzed using either disease-specific or pan-cancer-specific BED files to prioritize calls that are known to be diagnostically or prognostically relevant. Sensitivity, specificity, and reproducibility were 100%, 100%, and 96%, respectively. Following the validation, 14 cases and 10 controls were run and analyzed using OGM at three outside laboratories showing reproducibility of 96.4%. OGM found more clinically relevant SVs compared to SOC testing due to its ability to detect all classes of SVs at higher resolution. The results of this validation study demonstrate the superiority of OGM over traditional SOC methods for the detection of SVs for the accurate diagnosis of various hematological malignancies.
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Affiliation(s)
| | | | - Nikhil S. Sahajpal
- Department of Pathology, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA
| | | | | | | | | | | | | | - Anwar Iqbal
- DNA Microarray CGH Laboratory, Department of Pathology, University of Rochester Medical Center, Rochester, NY 14642, USA
| | - Ravindra Kolhe
- Department of Pathology, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA
| | - Gordana Raca
- Department of Pathology and Laboratory Medicine, Children’s Hospital of Los Angeles, Los Angeles, CA 90027, USA
| | - Alex R. Hastie
- Bionano, San Diego, CA 92121, USA; (A.W.C.P.)
- Bionano Laboratories, San Diego, CA 92121, USA
| | - Alka Chaubey
- Bionano, San Diego, CA 92121, USA; (A.W.C.P.)
- Bionano Laboratories, San Diego, CA 92121, USA
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5
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Wang B, Shao J, Qu L, Xu Q, Zheng D. The sequencing of the key genes and end products in the TLR4 signaling pathway from the kidney of Rana dybowskii exposed to Aeromonas hydrophila. Open Life Sci 2023; 18:20220704. [PMID: 37724117 PMCID: PMC10505344 DOI: 10.1515/biol-2022-0704] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Revised: 07/06/2023] [Accepted: 07/30/2023] [Indexed: 09/20/2023] Open
Abstract
Infectious diseases caused by Aeromonas hydrophila (AH) have reduced the populations of Rana dybowskii). However, little is known about the immune response of R. dybowskii against AH infections. The toll-like receptor (TLR) signaling pathway has been identified as a critical component in innate immunity, responsible for identifying pathogen-associated molecular patterns in pathogens. Our study used the next-generation sequencing technique and single-molecule long-read sequencing to determine the structures of transcript isoforms and functions of genes in the kidneys of R. dybowskii, as well as identify and validate the related genes in the TLR4 signaling pathway. In total, 628,774 reads of inserts were identified, including 300,053 full-length non-chimeric reads and 233,592 non-full-length reads. Among the transcriptome sequences, 124 genes were identified as homologs of known genes in the TLR4 pathway especially inflammatory cytokines and receptors. Our findings shed light on the structures and functions of R. dybowskii genes exposed to AH and confirm the presence of both MyD88-dependent and independent pathways in R. dybowskii. Our work reveals how various functional proteins in amphibians at the initial stage of immune response are activated and complete their corresponding functions in a short time.
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Affiliation(s)
- Boju Wang
- College of Wildlife Resources, Northeast Forestry University, Harbin150040, China
| | - Jie Shao
- College of Wildlife Resources, Northeast Forestry University, Harbin150040, China
| | - Lili Qu
- College of Wildlife Resources, Northeast Forestry University, Harbin150040, China
| | - Qing Xu
- College of Wildlife Resources, Northeast Forestry University, Harbin150040, China
| | - Dong Zheng
- College of Wildlife Resources, Northeast Forestry University, Harbin150040, China
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6
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Lee TD, Aisner DL, David MP, Eno CC, Gagan J, Gocke CD, Guseva NV, Haley L, Jajosky AN, Jones D, Mansukhani MM, Mroz P, Murray SS, Newsom KJ, Paulson V, Roy S, Rushton C, Segal JP, Senaratne TN, Siddon AJ, Starostik P, Van Ziffle JAG, Wu D, Xian RR, Yohe S, Kim AS. Current clinical practices and challenges in molecular testing: a GOAL Consortium Hematopathology Working Group report. Blood Adv 2023; 7:4599-4607. [PMID: 37236162 PMCID: PMC10425685 DOI: 10.1182/bloodadvances.2023010149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 05/02/2023] [Accepted: 05/18/2023] [Indexed: 05/28/2023] Open
Abstract
While molecular testing of hematologic malignancies is now standard of care, there is variability in practice and testing capabilities between different academic laboratories, with common questions arising on how to best meet clinical expectations. A survey was sent to hematopathology subgroup members of the Genomics Organization for Academic Laboratories consortium to assess current and future practice and potentially establish a reference for peer institutions. Responses were received from 18 academic tertiary-care laboratories regarding next-generation sequencing (NGS) panel design, sequencing protocols and metrics, assay characteristics, laboratory operations, case reimbursement, and development plans. Differences in NGS panel size, use, and gene content were reported. Gene content for myeloid processes was reported to be generally excellent, while genes for lymphoid processes were less well covered. The turnaround time (TAT) for acute cases, including acute myeloid leukemia, was reported to range from 2 to 7 calendar days to 15 to 21 calendar days, with different approaches to achieving rapid TAT described. To help guide NGS panel design and standardize gene content, consensus gene lists based on current and future NGS panels in development were generated. Most survey respondents expected molecular testing at academic laboratories to continue to be viable in the future, with rapid TAT for acute cases likely to remain an important factor. Molecular testing reimbursement was reported to be a major concern. The results of this survey and subsequent discussions improve the shared understanding of differences in testing practices for hematologic malignancies between institutions and will help provide a more consistent level of patient care.
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Affiliation(s)
- Thomas D. Lee
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine at University of California Los Angeles, Los Angeles, CA
| | - Dara L. Aisner
- Department of Pathology, University of Colorado, Aurora, CO
| | - Marjorie P. David
- Department of Pathology and Laboratory Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX
| | - Celeste C. Eno
- Department of Pathology and Lab Medicine, Cedars-Sinai Medical Center, Los Angeles, CA
| | - Jeffrey Gagan
- Department of Pathology, University of Texas Southwestern, Dallas, TX
| | - Christopher D. Gocke
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD
| | | | - Lisa Haley
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Audrey N. Jajosky
- Department of Pathology & Laboratory Medicine, University of Rochester Medical Center, Rochester, NY
| | - Daniel Jones
- The Ohio State University Comprehensive Cancer Center, The Ohio State University, Columbus, OH
| | - Mahesh M. Mansukhani
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, NY
| | - Pawel Mroz
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN
| | - Sarah S. Murray
- Department of Pathology, University of California San Diego, La Jolla, CA
| | - Kimberly J. Newsom
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, FL
| | - Vera Paulson
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA
| | - Somak Roy
- Department of Pathology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH
| | - Chase Rushton
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine at University of Pennsylvania, Philadelphia, PA
| | | | - T. Niroshini Senaratne
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine at University of California Los Angeles, Los Angeles, CA
| | - Alexa J. Siddon
- Departments of Laboratory Medicine & Pathology, Yale School of Medicine, New Haven, CT
| | - Petr Starostik
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, FL
| | | | - David Wu
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA
| | - Rena R. Xian
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Sophia Yohe
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN
| | - Annette S. Kim
- Department of Pathology, Brigham and Women’s Hospital/Harvard Medical School, Boston, MA
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7
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Schaflinger E, Enko D. Die Bedeutung der Hochdurchsatz-Sequenzierung in der medizinisch genetischen Diagnostik und Beratung. Dtsch Med Wochenschr 2022; 147:1336-1341. [DOI: 10.1055/a-1924-6646] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
ZusammenfassungNext-Generation-Sequencing ist ein modernes diagnostisches Hochdurchsatz-Verfahren (Multi-Gen-Analysen), durch dessen Einsatz sowohl hereditäre Krebserkrankungen (Tumordispositionssyndrome, Keimbahndiagnostik) als auch somatische Alterationen in Tumoren besser abgeklärt werden können. Der breitere Einsatz dieser Technologie im medizinischen Alltag zeigt das tatsächliche Ausmaß der interindividuellen genetischen Variabilität. Wichtige Bedeutung hat dieses Verfahren für die Untersuchung von heterogenen genetischen Erkrankungen (z. B. Tumorerkrankungen, neurodegenerativen und -muskulären Erkrankungen) erlangt. Weitere Indikationsgebiete stellen die Pharmakogenetik sowie die nicht invasive Pränataldiagnostik dar. Es ist zu erwarten, dass dieses diagnostische Mittel eine breite klinische Anwendung finden wird. Mit der rasanten Zunahme und Komplexität genetischer Dateninformationen nimmt die richtige Interpretation und Übermittlung der Befunde in der humangenetischen Beratung (Keimbahndiagnostik) einen hohen Stellenwert ein. Die genetische Beratung muss entsprechend neu ausgerichtet und adaptiert werden.
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Affiliation(s)
| | - Dietmar Enko
- Klinisches Institut für Medizinische und Chemische Labordiagnostik, Medizinische Universität Graz
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8
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Schmitz JL, Weimer ET. NGS and its impact in medical laboratory immunology. Hum Immunol 2021; 82:799-800. [PMID: 34493427 DOI: 10.1016/j.humimm.2021.08.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Affiliation(s)
- John L Schmitz
- Rm. 1035 East Wing UNC Hospitals, Chapel Hill, NC 27514, USA.
| | - Eric T Weimer
- Rm. 1035 East Wing UNC Hospitals, Chapel Hill, NC 27514, USA
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