Sarah Ridd, Larissa Peck, Aniket Bankar, George S Charames, Jordan Lerner-Ellis, Radhika Mahajan, Peter J B Sabatini, Andrew Wong, Janet Malcolmson, Raymond H Kim
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引用次数: 0
Abstract
Genetic testing for solid tumor syndromes typically uses peripheral blood leukocytes (PBL) as the source of germline DNA. This approach has shortcomings in certain situations, such as somatic mosaicism and hematologic malignancies. Here we describe a case where germline genetic testing on PBL revealed an unsuspected diagnosis of myelodysplastic syndrome (MDS). A 68-year-old male with a history of three solid tumors and a significant family history of cancer underwent germline genetic testing with a 76-gene hereditary cancer panel. Initial testing using PBL revealed deletions of the entire APC and CTNNA1 genes, suggestive of a contiguous deletion of chromosome 5 (del(5q)). Subsequent testing on cultured fibroblasts was negative, indicating the deletions were somatic. Bone marrow analysis confirmed the presence of del(5q) and a diagnosis of MDS. This case demonstrates the potential to uncover hematologic disorders through hereditary cancer genetic testing, emphasizing the importance of careful results interpretation, multidisciplinary follow-up, and DNA source selection.
NPJ Genomic MedicineBiochemistry, Genetics and Molecular Biology-Molecular Biology
CiteScore
9.40
自引率
1.90%
发文量
67
审稿时长
17 weeks
期刊介绍:
npj Genomic Medicine is an international, peer-reviewed journal dedicated to publishing the most important scientific advances in all aspects of genomics and its application in the practice of medicine.
The journal defines genomic medicine as "diagnosis, prognosis, prevention and/or treatment of disease and disorders of the mind and body, using approaches informed or enabled by knowledge of the genome and the molecules it encodes." Relevant and high-impact papers that encompass studies of individuals, families, or populations are considered for publication. An emphasis will include coupling detailed phenotype and genome sequencing information, both enabled by new technologies and informatics, to delineate the underlying aetiology of disease. Clinical recommendations and/or guidelines of how that data should be used in the clinical management of those patients in the study, and others, are also encouraged.