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The landscape of cell-free mitochondrial DNA in liquid biopsy for cancer detection

Authors :
Ymke van der Pol
Norbert Moldovan
Jip Ramaker
Sanne Bootsma
Kristiaan J. Lenos
Louis Vermeulen
Shahneen Sandhu
Idris Bahce
D. Michiel Pegtel
Stephen Q. Wong
Sarah-Jane Dawson
Dineika Chandrananda
Florent Mouliere
Source :
Genome Biology, Vol 24, Iss 1, Pp 1-16 (2023)
Publication Year :
2023
Publisher :
BMC, 2023.

Abstract

Abstract Background Existing methods to detect tumor signal in liquid biopsy have focused on the analysis of nuclear cell-free DNA (cfDNA). However, non-nuclear cfDNA and in particular mitochondrial DNA (mtDNA) has been understudied. We hypothesize that an increase in mtDNA in plasma could reflect the presence of cancer, and that leveraging cell-free mtDNA could enhance cancer detection. Results We survey 203 healthy and 664 cancer plasma samples from three collection centers covering 12 cancer types with whole genome sequencing to catalogue the plasma mtDNA fraction. The mtDNA fraction is increased in individuals with cholangiocarcinoma, colorectal, liver, pancreatic, or prostate cancer, in comparison to that in healthy individuals. We detect almost no increase of mtDNA fraction in individuals with other cancer types. The mtDNA fraction in plasma correlates with the cfDNA tumor fraction as determined by somatic mutations and/or copy number aberrations. However, the mtDNA fraction is also elevated in a fraction of patients without an apparent increase in tumor-derived cfDNA. A predictive model integrating mtDNA and copy number analysis increases the area under the curve (AUC) from 0.73 when using copy number alterations alone to an AUC of 0.81. Conclusions The mtDNA signal retrieved by whole genome sequencing has the potential to boost the detection of cancer when combined with other tumor-derived signals in liquid biopsies.

Details

Language :
English
ISSN :
1474760X
Volume :
24
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Genome Biology
Publication Type :
Academic Journal
Accession number :
edsdoj.f391dac559774ebc9fe41ed580f121ff
Document Type :
article
Full Text :
https://doi.org/10.1186/s13059-023-03074-w