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      Integrating Somatic and Germline Next-Generation Sequencing Into Routine Clinical Oncology Practice

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          Abstract

          Next-generation sequencing (NGS) is rapidly expanding into routine oncology practice. Genetic variations in both the cancer and inherited genomes are informative for hereditary cancer risk, prognosis, and treatment strategies. Herein, we focus on the clinical perspective of integrating NGS results into patient care to assist with therapeutic decision making. Five key considerations are addressed for operationalization of NGS testing and application of results to patient care as follows: (1) NGS test ordering and workflow design; (2) result reporting, curation, and storage; (3) clinical consultation services that provide test interpretations and identify opportunities for molecularly guided therapy; (4) presentation of genetic information within the electronic health record; and (5) education of providers and patients. Several of these key considerations center on informatics tools that support NGS test ordering and referencing back to the results for therapeutic purposes. Clinical decision support tools embedded within the electronic health record can assist with NGS test utilization and identifying opportunities for targeted therapy including clinical trial eligibility. Challenges for project and change management in operationalizing NGS-supported, evidence-based patient care in the context of current information technology systems with appropriate clinical data standards are discussed, and solutions for overcoming barriers are provided.

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          Integrative analysis of complex cancer genomics and clinical profiles using the cBioPortal.

          The cBioPortal for Cancer Genomics (http://cbioportal.org) provides a Web resource for exploring, visualizing, and analyzing multidimensional cancer genomics data. The portal reduces molecular profiling data from cancer tissues and cell lines into readily understandable genetic, epigenetic, gene expression, and proteomic events. The query interface combined with customized data storage enables researchers to interactively explore genetic alterations across samples, genes, and pathways and, when available in the underlying data, to link these to clinical outcomes. The portal provides graphical summaries of gene-level data from multiple platforms, network visualization and analysis, survival analysis, patient-centric queries, and software programmatic access. The intuitive Web interface of the portal makes complex cancer genomics profiles accessible to researchers and clinicians without requiring bioinformatics expertise, thus facilitating biological discoveries. Here, we provide a practical guide to the analysis and visualization features of the cBioPortal for Cancer Genomics.
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            The cBio cancer genomics portal: an open platform for exploring multidimensional cancer genomics data.

            The cBio Cancer Genomics Portal (http://cbioportal.org) is an open-access resource for interactive exploration of multidimensional cancer genomics data sets, currently providing access to data from more than 5,000 tumor samples from 20 cancer studies. The cBio Cancer Genomics Portal significantly lowers the barriers between complex genomic data and cancer researchers who want rapid, intuitive, and high-quality access to molecular profiles and clinical attributes from large-scale cancer genomics projects and empowers researchers to translate these rich data sets into biologic insights and clinical applications. © 2012 AACR.
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              Olaparib for Metastatic Castration-Resistant Prostate Cancer

              Multiple loss-of-function alterations in genes that are involved in DNA repair, including homologous recombination repair, are associated with response to poly(adenosine diphosphate-ribose) polymerase (PARP) inhibition in patients with prostate and other cancers.
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                Author and article information

                Contributors
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                Journal
                JCO Precision Oncology
                JCO Precision Oncology
                American Society of Clinical Oncology (ASCO)
                2473-4284
                November 2021
                November 2021
                : 5
                : 884-895
                Affiliations
                [1 ]Department of Individualized Cancer Management, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL
                [2 ]Department of Oncologic Sciences, University of South Florida, Tampa, FL
                [3 ]Department of Health Informatics, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL
                [4 ]Department of Internal Medicine, University of South Florida, Tampa, FL
                [5 ]Department of Clinical Pathways, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL
                [6 ]Department of Thoracic Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL
                [7 ]Department of Head and Neck-Endocrine Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL
                [8 ]Department of Pathology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL
                [9 ]Department of Clinical Informatics, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL
                [10 ]Department of Internal Medicine, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL
                [11 ]Department of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL
                [12 ]Department of Cutaneous Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL
                [13 ]Department of Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL
                Article
                10.1200/PO.20.00513
                34095711
                cee58b27-1e51-457d-851c-e3fba36c0ac9
                © 2021
                History

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