Oncology guidelines clearly outline evidence-based recommendations for patients with newly diagnosed cancer to help oncologists determine which patients are appropriate for a genetic assessment. Ideally, patients with newly diagnosed cancer, who have personal or family histories suggestive of hereditary cancer predisposition, are referred for genetics work up in the nonurgent setting. However, in some cases, a genetics work up is delayed until the end of life. This is a time of heightened stress and additional obstacles, including discordance between family members regarding the obtainment of genetic information, paying for testing, selecting a surrogate to receive and disperse information in the case of a patient's death, and the use of DNA banking for future evaluation. To meaningfully participate and support patients, family members, and our colleagues facing requests at the end of life for genetic testing, we provide a practical approach and highlight resources to effectively engage in this rising challenge.
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http://dx.doi.org/10.1200/JOP.2017.021980 | DOI Listing |
Cancers (Basel)
December 2024
Division of Medical Oncology, National Cancer Centre Singapore, 30 Hospital Blvd, Singapore 168583, Singapore.
Background: Identifying patients with gm is crucial to facilitate screening strategies, preventive measures and the usage of targeted therapeutics in their management. This review examines the evidence for the latest predictive and therapeutic approaches in -associated cancers.
Clinical Description: Data supports the use of adjuvant olaparib in patients with gm high-risk HER2-negative breast cancer.
Clin Transl Oncol
January 2025
Hereditary Cancer Unit, Medical Oncology Department, Puerta de Hierro University Hospital, Majadahonda, 28222, Madrid, Spain.
Hereditary polyposis syndromes are significant contributors to colorectal cancer (CRC). These syndromes are characterized by the development of various types and numbers of polyps, distinct inheritance patterns, and extracolonic manifestations. This review explores these syndromes with a focus on their genetic characteristics.
View Article and Find Full Text PDFJpn J Radiol
January 2025
Department of Diagnostic Radiology, Institute of Science Tokyo, Bunkyo-ku, Tokyo, Japan.
Adrenal diseases pose significant diagnostic challenges due to the wide range of neoplastic and non-neoplastic pathologies. Radiologists have a crucial role in diagnosing and managing these conditions by, leveraging advanced imaging techniques. This review discusses the vital role of computed tomography (CT), magnetic resonance imaging (MRI), and nuclear medicine in adrenal imaging, and focuses on morphological and functional evaluations.
View Article and Find Full Text PDFNPJ Precis Oncol
January 2025
Department for Translational Medical Oncology, National Center for Tumor Diseases Dresden (NCT/UCC), a partnership between DKFZ, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, and Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Dresden, Germany.
Precision oncology offers new cancer treatment options, yet sequencing methods vary in type and scope. In this study, we compared whole-exome/whole-genome (WES/WGS) and transcriptome sequencing (TS) with broad panel sequencing by resequencing the same tumor DNA and RNA as well as normal tissue DNA for germline assessment, from 20 patients with rare or advanced tumors, who were originally sequenced by WES/WGS ± TS within the DKFZ/NCT/DKTK MASTER program from 2015 to 2020. Molecular analyses resulted in a median number of 2.
View Article and Find Full Text PDFNPJ Genom Med
January 2025
Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.
High-grade serous ovarian carcinoma (HGSOC) has a significant hereditary component, only half of which is explained. Previously, we performed germline exome sequencing on BRCA1 and BRCA2-negative HGSOC patients, revealing three proposed and 43 novel candidate genes enriched with rare loss-of-function variants. For validation, we undertook case-control analyses using genomic data from disease-free controls.
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