Liquid Biomarkers for Improved Diagnosis and Classification of CNS Tumors
- PMID: 33925295
- PMCID: PMC8123653
- DOI: 10.3390/ijms22094548
Liquid Biomarkers for Improved Diagnosis and Classification of CNS Tumors
Abstract
Liquid biopsy, as a non-invasive technique for cancer diagnosis, has emerged as a major step forward in conquering tumors. Current practice in diagnosis of central nervous system (CNS) tumors involves invasive acquisition of tumor biopsy upon detection of tumor on neuroimaging. Liquid biopsy enables non-invasive, rapid, precise and, in particular, real-time cancer detection, prognosis and treatment monitoring, especially for CNS tumors. This approach can also uncover the heterogeneity of these tumors and will likely replace tissue biopsy in the future. Key components of liquid biopsy mainly include circulating tumor cells (CTC), circulating tumor nucleic acids (ctDNA, miRNA) and exosomes and samples can be obtained from the cerebrospinal fluid, plasma and serum of patients with CNS malignancies. This review covers current progress in application of liquid biopsies for diagnosis and monitoring of CNS malignancies.
Keywords: CSF; CTC; EV; ctDNA; exosome; liquid biopsy; microRNA; plasma; proteomics.
Conflict of interest statement
The authors declare no conflict of interest.
Figures
References
-
- Mandel P., Metais P. Les acides nucléiques du plasma sanguin chez l’homme [Nuclear Acids in Human Blood Plasma] Comptes Rendus Seances Soc. Biol. Fil. 1948;142:241–243. - PubMed
-
- Alix-Panabières C., Pantel K. Clinical Applications of Circulating Tumor Cells and Circulating Tumor DNA as Liquid Biopsy. Cancer Discov. 2016;6:479–491. doi: 10.1158/2159-8290.CD-15-1483. - DOI - PubMed
-
- Sun K., Jiang P., Chan K.C.A., Wong J., Cheng Y.K.Y., Liang R.H.S., Chan W.-K., Ma E.S.K., Chan S.L., Cheng S.H., et al. Plasma DNA tissue mapping by genome-wide methylation sequencing for noninvasive prenatal, cancer, and transplantation assessments. Proc. Natl. Acad. Sci. USA. 2015;112:E5503–E5512. doi: 10.1073/pnas.1508736112. - DOI - PMC - PubMed
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
