Predicting tumour content of liquid biopsies from cell-free DNA
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Author / Producer
Date
2023
Publication Type
Journal Article
ETH Bibliography
yes
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Abstract
Background: Liquid biopsy is a minimally-invasive method of sampling bodily fluids, capable of revealing evidence of cancer. The distribution of cell-free DNA (cfDNA) fragment lengths has been shown to differ between healthy subjects and cancer patients, whereby the distributional shift correlates with the sample’s tumour content. These fragmentomic data have not yet been utilised to directly quantify the proportion of tumour-derived cfDNA in a liquid biopsy.
Results: We used statistical learning to predict tumour content from Fourier and wavelet transforms of cfDNA length distributions in samples from 118 cancer patients. The model was validated on an independent dilution series of patient plasma.
Conclusions: This proof of concept suggests that our fragmentomic methodology could be useful for predicting tumour content in liquid biopsies.
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Publication status
published
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Book title
Journal / series
Volume
24 (1)
Pages / Article No.
368
Publisher
BioMed Central
Event
Edition / version
Methods
Software
Geographic location
Date collected
Date created
Subject
Liquid biopsy; Tumour content; Cell-free DNA; Circulating tumour DNA; Fragmentomics
Organisational unit
03790 - Beerenwinkel, Niko / Beerenwinkel, Niko
Notes
Funding
609883 - Mechanisms of Evasive Resistance in Liver Cancer (EC)