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White S, Haas M, Laginha KJ, Laurendet K, Gaff C, Vears D, Newson AJ. What's in a name? Justifying terminology for genomic findings beyond the initial test indication: A scoping review. Genet Med 2023; 25:100936. [PMID: 37454281 DOI: 10.1016/j.gim.2023.100936] [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: 05/05/2023] [Revised: 07/07/2023] [Accepted: 07/09/2023] [Indexed: 07/18/2023] Open
Abstract
Genome sequencing can generate findings beyond the initial test indication that may be relevant to a patient or research participant's health. In the decade since the American College of Medical Genetics and Genomics published its recommendations for reporting these findings, consensus regarding terminology has remained elusive and a variety of terms are in use globally. We conducted a scoping review to explore terminology choice and the justifications underlying those choices. Documents were included if they contained a justification for their choice of term(s) related to findings beyond the initial genomic test indication. From 3571 unique documents, 52 were included, just over half of which pertained to the clinical context (n = 29, 56%). We identified four inter-related concepts used to defend or oppose terms: expectedness of the finding, effective communication, relatedness to the original test indication, and how genomic information was generated. A variety of justifications were used to oppose the term "incidental," whereas "secondary" had broader support as a term to describe findings deliberately sought. Terminology choice would benefit from further work to include the views of patients. We contend that clear definitions will improve ethical debate and support communication about genomic findings beyond the initial test indication.
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Affiliation(s)
- Stephanie White
- Sydney Health Ethics, Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, NSW, Australia; Australian Genomics, Parkville, VIC, Australia; Graduate School of Health, University of Technology Sydney, Sydney, NSW, Australia
| | - Matilda Haas
- Australian Genomics, Parkville, VIC, Australia; Murdoch Children's Research Institute, Parkville, VIC, Australia
| | - Kitty-Jean Laginha
- Sydney Health Ethics, Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, NSW, Australia; Australian Genomics, Parkville, VIC, Australia
| | - Kirsten Laurendet
- Sydney Health Ethics, Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, NSW, Australia; Australian Genomics, Parkville, VIC, Australia
| | - Clara Gaff
- Australian Genomics, Parkville, VIC, Australia; Murdoch Children's Research Institute, Parkville, VIC, Australia; Department of Paediatrics, University of Melbourne, Parkville, VIC, Australia; Melbourne Genomics Health Alliance, Parkville, VIC, Australia
| | - Danya Vears
- Australian Genomics, Parkville, VIC, Australia; Murdoch Children's Research Institute, Parkville, VIC, Australia
| | - Ainsley J Newson
- Sydney Health Ethics, Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, NSW, Australia; Australian Genomics, Parkville, VIC, Australia.
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Abstract
CLINICAL ISSUE Innovative next generation sequencing (NGS) technologies and comprehensive sequencing investigations in large patient cohorts have paved the way for very promising personalized treatment strategies based on the molecular characteristics of individual tumors. STANDARD TREATMENT Targeted therapies, such as tyrosine kinase inhibitors, antibodies and modern immunotherapeutic approaches are well established as monotherapy and combination therapy for many hematological and oncological malignancies. TREATMENT INNOVATIONS A plethora of innovative therapies targeting various components of intracellular signaling cascades and effective mechanisms against oncogenes as well as the availability of NGS technologies enable personalized cancer treatment based on the molecular profiles of individual tumors and genetic stratification, within clinical trials. DIAGNOSTIC WORK-UP Comprehensive genetic approaches including cancer gene panel sequencing, whole exome, whole genome and transcriptome sequencing are carried out to a varying extent and particularly in the academic setting. PERFORMANCE Principally, a comprehensive characterization of tumors in addition to DNA and RNA sequencing that also incorporates epigenetic, metabolomic, and proteomic alterations would be desirable. A comprehensive clinical implementation of integrative, multidimensional genetic typing is, however, currently not possible. ACHIEVEMENTS It remains to be demonstrated whether these approaches will translate into significantly better outcomes for patients and whether they can be increasingly implemented in the routine diagnostic work-up. PRACTICAL RECOMMENDATIONS The selection of diagnostic tools in individual cases and the extent of genomic analyses in the clinical context, need to take the availability of methods as well as the present clinical situation into account.
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Affiliation(s)
- C Heining
- Abteilung für Translationale Onkologie, Nationales Centrum für Tumorerkrankungen Heidelberg, Im Neuenheimer Feld 460, 69120, Heidelberg, Deutschland
| | - P Horak
- Abteilung für Translationale Onkologie, Nationales Centrum für Tumorerkrankungen Heidelberg, Im Neuenheimer Feld 460, 69120, Heidelberg, Deutschland
| | - S Gröschel
- Abteilung für Translationale Onkologie, Nationales Centrum für Tumorerkrankungen Heidelberg, Im Neuenheimer Feld 460, 69120, Heidelberg, Deutschland
| | - H Glimm
- Abteilung für Translationale Onkologie, Nationales Centrum für Tumorerkrankungen Heidelberg, Im Neuenheimer Feld 460, 69120, Heidelberg, Deutschland
| | - S Fröhling
- Abteilung für Translationale Onkologie, Nationales Centrum für Tumorerkrankungen Heidelberg, Im Neuenheimer Feld 460, 69120, Heidelberg, Deutschland.
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Horak P, Klink B, Heining C, Gröschel S, Hutter B, Fröhlich M, Uhrig S, Hübschmann D, Schlesner M, Eils R, Richter D, Pfütze K, Geörg C, Meißburger B, Wolf S, Schulz A, Penzel R, Herpel E, Kirchner M, Lier A, Endris V, Singer S, Schirmacher P, Weichert W, Stenzinger A, Schlenk RF, Schröck E, Brors B, von Kalle C, Glimm H, Fröhling S. Precision oncology based on omics data: The NCT Heidelberg experience. Int J Cancer 2017; 141:877-886. [PMID: 28597939 DOI: 10.1002/ijc.30828] [Citation(s) in RCA: 120] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2017] [Revised: 05/24/2017] [Accepted: 05/29/2017] [Indexed: 12/17/2022]
Abstract
Precision oncology implies the ability to predict which patients will likely respond to specific cancer therapies based on increasingly accurate, high-resolution molecular diagnostics as well as the functional and mechanistic understanding of individual tumors. While molecular stratification of patients can be achieved through different means, a promising approach is next-generation sequencing of tumor DNA and RNA, which can reveal genomic alterations that have immediate clinical implications. Furthermore, certain genetic alterations are shared across multiple histologic entities, raising the fundamental question of whether tumors should be treated by molecular profile and not tissue of origin. We here describe MASTER (Molecularly Aided Stratification for Tumor Eradication Research), a clinically applicable platform for prospective, biology-driven stratification of younger adults with advanced-stage cancer across all histologies and patients with rare tumors. We illustrate how a standardized workflow for selection and consenting of patients, sample processing, whole-exome/genome and RNA sequencing, bioinformatic analysis, rigorous validation of potentially actionable findings, and data evaluation by a dedicated molecular tumor board enables categorization of patients into different intervention baskets and formulation of evidence-based recommendations for clinical management. Critical next steps will be to increase the number of patients that can be offered comprehensive molecular analysis through collaborations and partnering, to explore ways in which additional technologies can aid in patient stratification and individualization of treatment, to stimulate clinically guided exploratory research projects, and to gradually move away from assessing the therapeutic activity of targeted interventions on a case-by-case basis toward controlled clinical trials of genomics-guided treatments.
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Affiliation(s)
- Peter Horak
- Department of Translational Oncology, National Center for Tumor Diseases (NCT) Heidelberg, German Cancer Research Center (DKFZ), Heidelberg, Germany.,Section for Personalized Oncology, Heidelberg University Hospital, Heidelberg, Germany
| | - Barbara Klink
- Institute for Clinical Genetics, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.,German Cancer Consortium (DKTK), Dresden, Germany; German Cancer Research Center (DKFZ), Heidelberg, Germany; National Center for Tumor Diseases (NCT), Dresden, Germany
| | - Christoph Heining
- Department of Translational Oncology, National Center for Tumor Diseases (NCT) Heidelberg, German Cancer Research Center (DKFZ), Heidelberg, Germany.,Section for Personalized Oncology, Heidelberg University Hospital, Heidelberg, Germany
| | - Stefan Gröschel
- Department of Translational Oncology, National Center for Tumor Diseases (NCT) Heidelberg, German Cancer Research Center (DKFZ), Heidelberg, Germany.,Section for Personalized Oncology, Heidelberg University Hospital, Heidelberg, Germany.,Research Group Molecular Leukemogenesis, German Cancer Research Center (DKFZ), Heidelberg, Germany.,Department of Medical Oncology, NCT Heidelberg and Heidelberg University Hospital, Heidelberg, Germany.,DKTK, Heidelberg, Germany
| | - Barbara Hutter
- Division of Applied Bioinformatics, DKFZ and NCT Heidelberg, Heidelberg, Germany
| | - Martina Fröhlich
- Division of Applied Bioinformatics, DKFZ and NCT Heidelberg, Heidelberg, Germany
| | - Sebastian Uhrig
- Division of Applied Bioinformatics, DKFZ and NCT Heidelberg, Heidelberg, Germany
| | - Daniel Hübschmann
- Division of Theoretical Bioinformatics, DKFZ, Heidelberg, Germany.,Department of Pediatric Immunology, Hematology and Oncology, Heidelberg University Hospital, Heidelberg, Germany
| | | | - Roland Eils
- Division of Theoretical Bioinformatics, DKFZ, Heidelberg, Germany.,Department of Bioinformatics and Functional Genomics, Institute of Pharmacy and Molecular Biotechnology and BioQuant, Heidelberg University, Heidelberg, Germany
| | - Daniela Richter
- Department of Translational Oncology, National Center for Tumor Diseases (NCT) Heidelberg, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Katrin Pfütze
- Department of Translational Oncology, National Center for Tumor Diseases (NCT) Heidelberg, German Cancer Research Center (DKFZ), Heidelberg, Germany.,DKFZ-Heidelberg Center for Personalized Oncology (HIPO), Heidelberg, Germany
| | - Christina Geörg
- Department of Translational Oncology, National Center for Tumor Diseases (NCT) Heidelberg, German Cancer Research Center (DKFZ), Heidelberg, Germany.,DKFZ-Heidelberg Center for Personalized Oncology (HIPO), Heidelberg, Germany
| | - Bettina Meißburger
- Department of Translational Oncology, National Center for Tumor Diseases (NCT) Heidelberg, German Cancer Research Center (DKFZ), Heidelberg, Germany.,DKFZ-Heidelberg Center for Personalized Oncology (HIPO), Heidelberg, Germany
| | - Stephan Wolf
- Genomics and Proteomics Core Facility, DKFZ, Heidelberg, Germany
| | - Angela Schulz
- Genomics and Proteomics Core Facility, DKFZ, Heidelberg, Germany
| | - Roland Penzel
- Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
| | - Esther Herpel
- Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
| | - Martina Kirchner
- Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
| | - Amelie Lier
- Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
| | - Volker Endris
- Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
| | - Stephan Singer
- Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
| | - Peter Schirmacher
- DKTK, Heidelberg, Germany.,Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
| | - Wilko Weichert
- Institute of Pathology, Technische Universität München, Munich, Germany.,DKTK, Munich, Germany
| | - Albrecht Stenzinger
- DKTK, Heidelberg, Germany.,Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
| | | | - Evelin Schröck
- Institute for Clinical Genetics, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.,German Cancer Consortium (DKTK), Dresden, Germany; German Cancer Research Center (DKFZ), Heidelberg, Germany; National Center for Tumor Diseases (NCT), Dresden, Germany
| | - Benedikt Brors
- DKTK, Heidelberg, Germany.,Division of Applied Bioinformatics, DKFZ and NCT Heidelberg, Heidelberg, Germany
| | - Christof von Kalle
- Department of Translational Oncology, National Center for Tumor Diseases (NCT) Heidelberg, German Cancer Research Center (DKFZ), Heidelberg, Germany.,Section for Personalized Oncology, Heidelberg University Hospital, Heidelberg, Germany.,DKTK, Heidelberg, Germany.,DKFZ-Heidelberg Center for Personalized Oncology (HIPO), Heidelberg, Germany
| | - Hanno Glimm
- Department of Translational Oncology, National Center for Tumor Diseases (NCT) Heidelberg, German Cancer Research Center (DKFZ), Heidelberg, Germany.,Section for Personalized Oncology, Heidelberg University Hospital, Heidelberg, Germany.,DKTK, Heidelberg, Germany
| | - Stefan Fröhling
- Department of Translational Oncology, National Center for Tumor Diseases (NCT) Heidelberg, German Cancer Research Center (DKFZ), Heidelberg, Germany.,Section for Personalized Oncology, Heidelberg University Hospital, Heidelberg, Germany.,DKTK, Heidelberg, Germany
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