Fragmentation patterns and personalized sequencing of cell‐free DNA in urine and plasma of glioma patients

Abstract Glioma‐derived cell‐free DNA (cfDNA) is challenging to detect using liquid biopsy because quantities in body fluids are low. We determined the glioma‐derived DNA fraction in cerebrospinal fluid (CSF), plasma, and urine samples from patients using sequencing of personalized capture panels gu...

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Main Authors: Florent Mouliere, Christopher G Smith, Katrin Heider, Jing Su, Ymke van der Pol, Mareike Thompson, James Morris, Jonathan C M Wan, Dineika Chandrananda, James Hadfield, Marta Grzelak, Irena Hudecova, Dominique‐Laurent Couturier, Wendy Cooper, Hui Zhao, Davina Gale, Matthew Eldridge, Colin Watts, Kevin Brindle, Nitzan Rosenfeld, Richard Mair
Format: Article
Language:English
Published: Springer Nature 2021-07-01
Series:EMBO Molecular Medicine
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Online Access:https://doi.org/10.15252/emmm.202012881
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author Florent Mouliere
Christopher G Smith
Katrin Heider
Jing Su
Ymke van der Pol
Mareike Thompson
James Morris
Jonathan C M Wan
Dineika Chandrananda
James Hadfield
Marta Grzelak
Irena Hudecova
Dominique‐Laurent Couturier
Wendy Cooper
Hui Zhao
Davina Gale
Matthew Eldridge
Colin Watts
Kevin Brindle
Nitzan Rosenfeld
Richard Mair
author_facet Florent Mouliere
Christopher G Smith
Katrin Heider
Jing Su
Ymke van der Pol
Mareike Thompson
James Morris
Jonathan C M Wan
Dineika Chandrananda
James Hadfield
Marta Grzelak
Irena Hudecova
Dominique‐Laurent Couturier
Wendy Cooper
Hui Zhao
Davina Gale
Matthew Eldridge
Colin Watts
Kevin Brindle
Nitzan Rosenfeld
Richard Mair
author_sort Florent Mouliere
collection DOAJ
description Abstract Glioma‐derived cell‐free DNA (cfDNA) is challenging to detect using liquid biopsy because quantities in body fluids are low. We determined the glioma‐derived DNA fraction in cerebrospinal fluid (CSF), plasma, and urine samples from patients using sequencing of personalized capture panels guided by analysis of matched tumor biopsies. By sequencing cfDNA across thousands of mutations, identified individually in each patient’s tumor, we detected tumor‐derived DNA in the majority of CSF (7/8), plasma (10/12), and urine samples (10/16), with a median tumor fraction of 6.4 × 10−3, 3.1 × 10−5, and 4.7 × 10−5, respectively. We identified a shift in the size distribution of tumor‐derived cfDNA fragments in these body fluids. We further analyzed cfDNA fragment sizes using whole‐genome sequencing, in urine samples from 35 glioma patients, 27 individuals with non‐malignant brain disorders, and 26 healthy individuals. cfDNA in urine of glioma patients was significantly more fragmented compared to urine from patients with non‐malignant brain disorders (P = 1.7 × 10−2) and healthy individuals (P = 5.2 × 10−9). Machine learning models integrating fragment length could differentiate urine samples from glioma patients (AUC = 0.80–0.91) suggesting possibilities for truly non‐invasive cancer detection.
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spelling doaj-art-24159a2dc79e4f5a892d4bf85fcba5d82025-08-20T03:05:53ZengSpringer NatureEMBO Molecular Medicine1757-46761757-46842021-07-0113811410.15252/emmm.202012881Fragmentation patterns and personalized sequencing of cell‐free DNA in urine and plasma of glioma patientsFlorent Mouliere0Christopher G Smith1Katrin Heider2Jing Su3Ymke van der Pol4Mareike Thompson5James Morris6Jonathan C M Wan7Dineika Chandrananda8James Hadfield9Marta Grzelak10Irena Hudecova11Dominique‐Laurent Couturier12Wendy Cooper13Hui Zhao14Davina Gale15Matthew Eldridge16Colin Watts17Kevin Brindle18Nitzan Rosenfeld19Richard Mair20Cancer Research UK Cambridge Institute, University of CambridgeCancer Research UK Cambridge Institute, University of CambridgeCancer Research UK Cambridge Institute, University of CambridgeCancer Research UK Cambridge Institute, University of CambridgeAmsterdam UMC, Vrije Universiteit Amsterdam, Department of Pathology, Cancer Centre AmsterdamCancer Research UK Cambridge Institute, University of CambridgeCancer Research UK Cambridge Institute, University of CambridgeCancer Research UK Cambridge Institute, University of CambridgeCancer Research UK Cambridge Institute, University of CambridgeCancer Research UK Cambridge Institute, University of CambridgeCancer Research UK Cambridge Institute, University of CambridgeCancer Research UK Cambridge Institute, University of CambridgeCancer Research UK Cambridge Institute, University of CambridgeCancer Research UK Cambridge Institute, University of CambridgeCancer Research UK Cambridge Institute, University of CambridgeCancer Research UK Cambridge Institute, University of CambridgeCancer Research UK Cambridge Institute, University of CambridgeDivision of Neurosurgery, Department of Clinical Neurosciences, University of CambridgeCancer Research UK Cambridge Institute, University of CambridgeCancer Research UK Cambridge Institute, University of CambridgeCancer Research UK Cambridge Institute, University of CambridgeAbstract Glioma‐derived cell‐free DNA (cfDNA) is challenging to detect using liquid biopsy because quantities in body fluids are low. We determined the glioma‐derived DNA fraction in cerebrospinal fluid (CSF), plasma, and urine samples from patients using sequencing of personalized capture panels guided by analysis of matched tumor biopsies. By sequencing cfDNA across thousands of mutations, identified individually in each patient’s tumor, we detected tumor‐derived DNA in the majority of CSF (7/8), plasma (10/12), and urine samples (10/16), with a median tumor fraction of 6.4 × 10−3, 3.1 × 10−5, and 4.7 × 10−5, respectively. We identified a shift in the size distribution of tumor‐derived cfDNA fragments in these body fluids. We further analyzed cfDNA fragment sizes using whole‐genome sequencing, in urine samples from 35 glioma patients, 27 individuals with non‐malignant brain disorders, and 26 healthy individuals. cfDNA in urine of glioma patients was significantly more fragmented compared to urine from patients with non‐malignant brain disorders (P = 1.7 × 10−2) and healthy individuals (P = 5.2 × 10−9). Machine learning models integrating fragment length could differentiate urine samples from glioma patients (AUC = 0.80–0.91) suggesting possibilities for truly non‐invasive cancer detection.https://doi.org/10.15252/emmm.202012881cell‐free DNAcirculating tumor DNAfragmentomicsgliomasliquid biopsy
spellingShingle Florent Mouliere
Christopher G Smith
Katrin Heider
Jing Su
Ymke van der Pol
Mareike Thompson
James Morris
Jonathan C M Wan
Dineika Chandrananda
James Hadfield
Marta Grzelak
Irena Hudecova
Dominique‐Laurent Couturier
Wendy Cooper
Hui Zhao
Davina Gale
Matthew Eldridge
Colin Watts
Kevin Brindle
Nitzan Rosenfeld
Richard Mair
Fragmentation patterns and personalized sequencing of cell‐free DNA in urine and plasma of glioma patients
EMBO Molecular Medicine
cell‐free DNA
circulating tumor DNA
fragmentomics
gliomas
liquid biopsy
title Fragmentation patterns and personalized sequencing of cell‐free DNA in urine and plasma of glioma patients
title_full Fragmentation patterns and personalized sequencing of cell‐free DNA in urine and plasma of glioma patients
title_fullStr Fragmentation patterns and personalized sequencing of cell‐free DNA in urine and plasma of glioma patients
title_full_unstemmed Fragmentation patterns and personalized sequencing of cell‐free DNA in urine and plasma of glioma patients
title_short Fragmentation patterns and personalized sequencing of cell‐free DNA in urine and plasma of glioma patients
title_sort fragmentation patterns and personalized sequencing of cell free dna in urine and plasma of glioma patients
topic cell‐free DNA
circulating tumor DNA
fragmentomics
gliomas
liquid biopsy
url https://doi.org/10.15252/emmm.202012881
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