Role of machine learning in liquid biopsy of brain tumours
Document Type
Article
Department
Surgery; Neurosurgery
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.
Publication (Name of Journal)
Journal of the Pakistan Medical Association
DOI
doi.org/10.47391/JPMA.24-46
Recommended Citation
Javed, Z.,
Bakhshi, S. K.,
Akhtar, S.,
Shamim, M. S.
(2024). Role of machine learning in liquid biopsy of brain tumours. Journal of the Pakistan Medical Association, 74(6), 1194-1196.
Available at:
https://ecommons.aku.edu/pakistan_fhs_mc_surg_neurosurg/393