计算生物学
医学
鉴定(生物学)
疾病
基因组学
拷贝数变化
癌症
生物标志物发现
生物信息学
个性化医疗
生物
基因组
蛋白质组学
病理
遗传学
基因
内科学
植物
作者
Conor Giles Doran,Stephen R. Pennington
标识
DOI:10.2217/bmm-2021-0476
摘要
Within certain cancers, extensive copy number alterations (CNAs) contribute to a complex and heterogenic genomic profile. This makes it difficult to understand and unravel the distinct molecular dynamics shaping the disease while preventing clinically effective patient stratification. CNA signature analysis represents a novel genomic stratification tool for probing this complexity, offering an intricate framework for deriving CNA patterns at the molecular level. This allows the underlying genomic mechanisms of specific cancers to be revealed, leading to the potential identification of therapeutic targets and prognostic associations. This review outlines the molecular and methodological basis of CNA signatures and focuses on recent advances highlighting their clinical utility, limitations and prospective future as novel diagnostic and prognostic cancer biomarkers.
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