肿瘤异质性
鉴定(生物学)
医学
精确肿瘤学
精密医学
遗传异质性
癌症
肿瘤科
重症监护医学
内科学
病理
生物
生物化学
植物
基因
表型
作者
Arsani G. Yousef,Lucianna Ghobrial,Eleftherios P. Diamandis
出处
期刊:Diagnosis
[De Gruyter]
日期:2023-10-12
卷期号:11 (1): 25-30
摘要
Abstract Differences in tumors related to location, tissue type, and histological subtype have been well documented for decades. Tumors are also molecularly very diverse. In this short review we describe the current classification schemes for tumor heterogeneity. We enlist the various drivers of tumor heterogeneity generation and comment on their clinical significance. New molecular techniques promise to assess tumor heterogeneity at affordable cost, so that these techniques can soon enter the clinic. While tumor heterogeneity currently represents a major unfavorable barrier in the field of oncology, it may also be a key in revolutionizing cancer diagnosis and treatment. Information regarding tumor heterogeneity has the potential to provide more thorough prognostic information, guide more efficacious combination treatment regimens, and lead to the development of novel therapeutic strategies and identification of new targets. For these gains to be realized, assessment of tumor heterogeneity needs to be incorporated into current diagnostic protocols but standardized and reproducible assessment methods are required. Fortunately, when these advances are realized, tumor heterogeneity has the potential to improve clinical outcomes.
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