标题:Clinical Applications of Cerebrospinal Fluid Circulating Tumor DNA as a Liquid Biopsy for Central Nervous System Tumors
作者:Yan, Weiwei; Xu, Tingting; Zhu, Hui; Yu, Jinming
作者机构:[Yan, Weiwei] Univ Jinan, Sch Med & Life Sci, Shandong Acad Med Sci, Jinan, Shandong, Peoples R China.; [Yan, Weiwei; Zhu, Hui; Yu, Jinming] Shandon 更多
通讯作者:Zhu, H;Yu, JM;Zhu, H;Yu, JM
通讯作者地址:[Zhu, H; Yu, JM]First Med Univ, 440 Jiyan Rd, Jinan 250117, Shandong, Peoples R China;[Zhu, H; Yu, JM]Shandong Acad Med Sci, 440 Jiyan Rd, Jinan 25011 更多
来源:ONCOTARGETS AND THERAPY
出版年:2020
卷:13
页码:719-731
DOI:10.2147/OTT.S229562
关键词:central nervous system (CNS) tumors; circulating tumor DNA; ctDNA;; cerebrospinal fluid; CSF; liquid biopsy
摘要:Central nervous system (CNS) malignancies are associated with poor prognosis, as well as exceptional morbidity and mortality, likely as a result of low rates of early diagnosis and limited knowledge of the tumor growth and resistance mechanisms, dissemination, and evolution in the CNS. Monitoring patients with CNS malignancies for treatment response and tumor recurrence can be challenging because of the difficulty and risks of brain biopsies and the low specificity and sensitivity of the less invasive methodologies that are currently available. Therefore, there is an urgent need to detect and validate reliable and minimally invasive biomarkers for CNS tumors that can be used separately or in combination with current clinical practices. The circulating tumor DNA (ctDNA) of cerebrospinal fluid (CSF) samples can outline the genetic landscape of entire CNS tumors effectively and is a promising, suitable biomarker, though its role in managing CNS malignancies has not been studied extensively. This review summarizes recent studies that explore the diagnostic, prognostic, and predictive roles of CSF-ctDNA as a liquid biopsy with primary and metastatic CNS malignancies.
收录类别:SCOPUS;SCIE
资源类型:期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85078808191&doi=10.2147%2fOTT.S229562&partnerID=40&md5=1c5d226feea472fc923f482182dc78d8
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