Next-generation liquid biopsies: Embracing data science in oncology Review


Authors: Im, Y. R.; Tsui, D. W. Y.; Diaz, L. A. Jr; Wan, J. C. M.
Review Title: Next-generation liquid biopsies: Embracing data science in oncology
Abstract: Deeper and broader sequencing of circulating tumor DNA (ctDNA) has identified a wealth of cancer markers in the circulation, resulting in a paradigm shift towards data science-driven liquid biopsies in oncology. Although panel sequencing for actionable mutations in plasma is moving towards the clinic, the next generation of liquid biopsies is increasingly shifting from analyzing digital mutation signals towards analog signals, requiring a greater role for machine learning. Concomitantly, there is an increasing acceptance that these cancer signals do not have to arise from the tumor itself. In this Opinion, we discuss the opportunities and challenges arising from increasingly complex cancer liquid biopsy data. © 2020 Elsevier Inc.
Keywords: oncology; cancer; circulating tumor dna; liquid biopsy; cell-free dna
Journal Title: Trends in Cancer
Volume: 7
Issue: 4
ISSN: 2405-8025
Publisher: Cell Press  
Date Published: 2021-04-01
Start Page: 283
End Page: 292
Language: English
DOI: 10.1016/j.trecan.2020.11.001
PUBMED: 33317961
PROVIDER: scopus
PMCID: PMC8408348
DOI/URL:
Notes: Review -- Export Date: 1 April 2021 -- Source: Scopus
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  1. Wai Yi   Tsui
    50 Tsui
  2. Luis Alberto Diaz
    149 Diaz
  3. Jonathan C. Wan
    6 Wan