Role of Machine Learning in Liquid Biopsy of Brain Tumours.
J Pak Med Assoc
; 74(6): 1194-1196, 2024 Jun.
Article
em En
| MEDLINE
| ID: mdl-38949002
ABSTRACT
Liquid biopsy has multiple benefits and is used extensively in other fields of oncology, but its role in neuro-oncology has been limited so far. Multiple tumour-derived materials like circulating tumour cells (CTCs), tumour-educated platelets (TEPs), cell-free DNA (cfDNA), circulating tumour DNA (ctDNA), and miRNA are studied in CSF, blood (plasma, serum) or urine. Large and complex amounts of data from liquid biopsy can be simplified by machine learning using various algorithms. By using this technique, we can diagnose brain tumours and differentiate low versus highgrade glioma and true progression from pseudo-progression. The potential of liquid biopsy in brain tumours has not been extensively studied, but it has a bright future in the coming years. Here, we present a literature review on the role of machine learning in liquid biopsy of brain tumours.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Neoplasias Encefálicas
/
Aprendizado de Máquina
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Células Neoplásicas Circulantes
Limite:
Humans
Idioma:
En
Ano de publicação:
2024
Tipo de documento:
Article