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The impact of next-generation sequencing for diagnosis and disease understanding of myeloid malignancies.
Vormittag-Nocito, Erica; Sukhanova, Madina; Godley, Lucy A.
Afiliação
  • Vormittag-Nocito E; Division of Genomics, Department of Pathology and the Robert H. Lurie Comprehensive Cancer Center, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
  • Sukhanova M; Division of Genomics, Department of Pathology and the Robert H. Lurie Comprehensive Cancer Center, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
  • Godley LA; Division of Hematology/Oncology, Department of Medicine and the Robert H. Lurie Comprehensive Cancer Center, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
Expert Rev Mol Diagn ; 24(7): 591-600, 2024 Jul.
Article em En | MEDLINE | ID: mdl-39054632
ABSTRACT

INTRODUCTION:

Defining the chromosomal and molecular changes associated with myeloid neoplasms (MNs) optimizes clinical care through improved diagnosis, prognosis, treatment planning, and patient monitoring. This review will concisely describe the techniques used to profile MNs clinically today, with descriptions of challenges and emerging approaches that may soon become standard-of-care. AREAS COVERED In this review, the authors discuss molecular assessment of MNs using non-sequencing techniques, including conventional cytogenetic analysis, fluorescence in situ hybridization, chromosomal genomic microarray testing; as well as DNA- or RNA-based next-generation sequencing (NGS) assays; and sequential monitoring via digital PCR or measurable residual disease assays. The authors explain why distinguishing somatic from germline alleles is critical for optimal management. Finally, they introduce emerging technologies, such as long-read, whole exome/genome, and single-cell sequencing, which are reserved for research purposes currently but will become clinical tests soon. EXPERT OPINION The authors describe challenges to the adoption of comprehensive genomic tests for those in resource-constrained environments and for inclusion into clinical trials. In the future, all aspects of patient care will likely be influenced by the adaptation of artificial intelligence and mathematical modeling, fueled by rapid advances in telecommunications.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Sequenciamento de Nucleotídeos em Larga Escala Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Sequenciamento de Nucleotídeos em Larga Escala Idioma: En Ano de publicação: 2024 Tipo de documento: Article