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Cell-free DNA fragmentation patterns and personalized sequencing reveal circulating tumor DNA in urine and plasma of glioma patients

ABSTRACT: Glioma-derived cell-free DNA (cfDNA) is challenging to detect using liquid biopsy as levels in body fluids are low. We determined the glioma-derived DNA fractions in tumor biopsies, in cerebrospinal fluid (CSF), plasma and urine samples, using deep sequencing of personalized capture panels. By sequencing cfDNA across thousands of mutations identified individually in each patientÃ¢Â€Â™s matched tumor we detected tumor-derived DNA in plasma (10/12) and urine samples (8/11). The median tumor fraction was 6.4x10-3 in CSF, 3.1x10-5 in plasma and 4.7x10-5 in urine. We identified a shift in the size distribution for mutant cfDNA fragments in these body fluids. Next, we analyzed cfDNA fragment sizes with paired-end shallow whole genome sequencing (WGS) in urine samples from 35 patients with gliomas, 8 individuals with non-malignant brain disorders, and 26 controls (n=69 individuals, 96 samples). cfDNA in urine of glioma patients was significantly more fragmented compared to urine from patients with non-malignant brain disorders (t-test, p=1.7x10-2) and compared to urine of controls (t-test, p=5.2x10-9). The proportion of DNA fragments <60 bp was higher in glioma patients urine and could be used for classification (AUC=0.93). Machine learning models integrating fragment lengths could identify urine samples from glioma patients (AUC=0.97 in cross-validation).

PROVIDER: EGAS00001004355 | EGA |

REPOSITORIES: EGA

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Enhanced detection of circulating tumor DNA by fragment size analysis

Project description:Existing methods to improve detection of circulating tumor DNA (ctDNA) have focused on sensitivity for detecting genomic alterations but have rarely considered the biological properties of plasma cell-free DNA (cfDNA). We hypothesized that differences in fragment lengths of circulating DNA could be exploited to enhance sensitivity for detecting the presence of ctDNA and for non-invasive genomic analysis of cancer. We surveyed ctDNA fragment sizes in 344 plasma samples from 200 cancer patients using low-pass whole-genome sequencing (0.4×). To establish the size distribution of mutant ctDNA, tumor-guided personalized deep sequencing was performed in 19 patients. We detected enrichment of ctDNA in fragment sizes between 90–150 bp, and developed methods for in vitro and in silico size selection of these fragments. Selecting fragments between 90–150 bp improved detection of tumor DNA, with more than 2-fold median enrichment in >95% of cases, and more than 4-fold enrichment in > 10% of cases. Analysis of size-selected cfDNA identified clinically actionable mutations and copy number alterations that were otherwise not detected. Identification of plasma samples from patients with advanced cancer was improved by predictive models integrating fragment length and copy number analysis of cfDNA, with AUC> 0.99 compared to AUC < 0.80 without fragmentation features. Increased identification of cfDNA from patients with glioma, renal, and pancreatic cancer was achieved with AUC > 0.91, compared to AUC < 0.5 without fragmentation features. Fragment size analysis and selective sequencing of specific fragment sizes can boost ctDNA detection. This could reduce the required depth of cfDNA sequencing for clinical applications, earlier diagnosis and study of tumor biology.

| EGAS00001003258 | EGA

An integrative analysis of genome-wide 5-hydroxymethylcytosines in circulating cell-free DNA detects non-invasive diagnostic markers for gliomas

Project description:Background. Gliomas, especially the high-grade glioblastomas (GBM), are highly aggressive tumors in the central nervous system (CNS) with dismal clinical outcomes. Effective biomarkers, which are not currently available, may improve clinical outcomes through early detection. We sought to develop a non-invasive diagnostic approach for gliomas based on 5-hydroxymethylcytosines (5hmC) in circulating cell-free DNA (cfDNA). Methods. We obtained genome-wide 5hmC profiles using the 5hmC-Seal technique in cfDNA samples from 111 prospectively enrolled patients with gliomas and 111 age-, gender-matched healthy individuals, which were split into a training set and a validation set. Integrated models comprised of 5hmC levels summarized for gene bodies, long non-coding RNAs (lncRNAs), cis-regulatory elements, and repetitive elements were developed using the elastic net regularization under a case-control design. Results. The integrated 5hmC-based models differentiated healthy individuals from gliomas (AUC [area under the curve] = 84%; 95% confidence interval [CI], 74-93%), GBM patients (AUC = 84%; 95% CI, 74-94%), WHO II-III glioma patients (AUC = 86%; 95% CI, 76-96%), regardless of IDH1 (encoding isocitrate dehydrogenase) mutation status or other glioma-related pathological features such as TERT, TP53 in the validation set. Furthermore, the 5hmC biomarkers in cfDNA showed the potential as an independent indicator from IDH1 mutation status and worked in synergy with IDH1 mutation to distinguish GBM from WHO II-III gliomas. Exploration of the 5hmC biomarkers for gliomas revealed relevance to glioma biology. Conclusions. The 5hmC-Seal in cfDNA offers the promise as a non-invasive approach for effective detection of gliomas in a screening program.

2021-05-30 | GSE132118 | GEO

Genomic complexity of urothelial bladder cancer revealed in urinary cfDNA

Project description:Comparison of the genomic profiles of urinary cellular DNA and cell-free DNA (cfDNA) from the urine to matched diagnostic formalin-fixed paraffin embedded (FFPE) tumour DNAs for 23 well-characterised UBC patients.

2015-12-31 | E-MTAB-3841 | biostudies-arrayexpress

Genome-wide plasma cell-free DNA methylation profiling in lung cancer patients using MeDIP-seq

Project description:As a non-invasive blood testing, the detection of cell-free DNA (cfDNA) methylation in plasma is raising increasing interest due to its diagnostic and biology applications. Although extensively used in cfDNA methylation analysis, bisulfite sequencing is less cost-effective. Through enriching methylated cfDNA fragments with MeDIP followed by deep sequencing, we aimed to characterize cfDNA methylome in cancer patients. In this study, we investigated the cfDNA methylation patterns in lung cancer patients by MeDIP-seq. MEDIPS package was used for the identification of differentially methylated regions (DMRs) between patients and normal ones. Overall, we identified 330 differentially methylated regions (DMRs) in gene promoter regions, 33 hypermethylation and 297 hypomethylation respectively, by comparing lung cancer patients and healthy individuals as controls. The 33 hypermethylation regions represent 32 genes. Some of the genes had been previously reported to be associated with lung cancers, such as GAS7, AQP10, HLF, CHRNA9 and HOPX. Taken together, our study provided an alternative method of cfDNA methylation analysis in lung cancer patients with potential clinical applications.

2019-03-31 | E-MTAB-7163 | biostudies-arrayexpress

A genome-wide cell-free DNA methylation analysis identifies an episignature associated with metastatic luminal B breast cancer.

Project description:Breast cancers of the luminal B subtype are frequent tumors with high proliferation and poor prognosis. Epigenetic alterations have been found in breast tumors and in biological fluids. We aimed to profile the cell-free DNA (cfDNA) methylome of metastatic luminal B breast cancer (LBBC) patients using an epigenomic approach to discover potential noninvasive biomarkers. Plasma cfDNA was analyzed using the Infinium MethylationEpic array (EPIC array) in a cohort of 14 women, including metastatic LBBC patients and healthy controls.

2022-11-16 | GSE214344 | GEO

Multiplex 5mC Marker Barcode Counting (MMBC-seq): A sensitive detection method for cell-free DNA methylation

Project description:The detection of hypermethylation markers on cell-free DNA (cfDNA) in biological fluids is a promising and non-invasive approach for early diagnosis and monitoring of human diseases. However, it is challenging to detect hypermethylation markers in a high-throughput, sensitive, and cost-effective manner. Here we presented a multiplex 5-methylcytosine marker barcode counting (MMBC-seq) technique and reported its clinical application for cfDNA from peripheral plasma samples. We identified an MMBC cancer detection panel and developed a scoring system to differentiate cancer versus healthy controls. In a multiple-cancer case-control study, the panel achieved a sensitivity and specificity of 80.2% and 95.7% respectively (AUC 0.906, 95% CI 0.846-0.948). The results suggest that MMBC-seq has great potential to realize non-invasive, flexible and clinically applicable cancer detection.

2022-01-07 | GSE124775 | GEO

Proteomic characterization of cerebrospinal fluid in patients with brain malignancies

Project description:Recent technological advances in molecular diagnostics through liquid biopsies hold the promise to monitor tumor evolution and treatment response of brain malignancies without the need of invasive surgical tissue accrual. Here, we implemented a new mass spectrometry-based protein analysis pipeline and analyzed 251 cerebrospinal fluid (CSF) samples from patients with four types of brain malignancies (glioblastoma, lymphoma, brain metastasis and meningeal disease) as well as from healthy individuals. On average, we identified 511 ± 121 proteins per CSF sample. 169 proteins were commonly deregulated in all four types of brain malignancies compared to controls. CSF analysis of glioblastoma patients identified two proteomic clusters that correlated with tumor size and patient survival. By integrating CSF data with proteomic analyses of matching glioma tumor tissue and primary glioma cells, we identified potential CSF biomarkers for glioblastoma, in particular chitinase-3-like protein 1 (CHI3L1) and glial fibrillary acidic protein (GFAP). Results were validated in a prospective cohort with 35 glioblastoma patients. Response of a patient with meningeal disease to combinatorial drug treatment was associated with a complex shift of the proteomic signature, including detection of potential drug resistance mechanisms. Therefore, proteomic analysis of CSF in brain malignancies has the potential to reveal biomarkers for diagnosis and therapy monitoring.

2021-03-25 | PXD021984 | Pride

The structural integrity of mitochondrial DNA reveals new molecular perspectives for early diagnosis of colorectal cancer

Project description:Interventions: Group 1: The project aims to: Statistically compare the fragment length of cell-free DNA in the blood plasma of 80 patients with a confirmed diagnosis of colorectal carcinoma in stages I-IV with the cfDNA fragment lengths of 50 healthy subjects. For this purpose, residual amounts of blood plasma samples are used, which are collected anyway as part of theroutine examinations. Cell-free DNA was isolated from the blood plasma and the fragment lengths are measured using qPCR. The project ends with the publication of the data. Group 2: Statistically compare the fragment length of cell-free DNA in the blood plasma of 50 healthy subjects with 80 patients with a confirmed diagnosis of colorectal carcinoma in stages I-IV. The plasma samples from healthy volunteers were purchased (Central Biohub GmbH). Primary outcome(s): The aim of this study is: 1) to analyze total cfDNA concentration in CRC patients with different histopathological stages (UICC I-IV). 2) to address the question whether the integrity index of cfDNA increases in CRC patients as a result of elevated necrotic degradation processes. Therefore, we intended to quantify short and long fragments of cfDNA via qPCR independent from total cfDNA levels by using equal template concentrations for CRC patients and healthy individuals. This approach may help to understand whether previously described diagnostic markers are either increased, decreased or unaltered in blood plasma of CRC patients compared to healthy individuals. Study Design: Allocation: ; Masking: ; Control: ; Assignment: ; Study design purpose: basic science

| 2754663 | ecrin-mdr-crc

Real-time analysis of the cancer genome and fragmentome from plasma and urine short and long cell-free DNA using Nanopore sequencing

Project description:Cell-free DNA (cfDNA) can be isolated from blood and/or urine of cancer patients and analyzed with sequencing. Unfortunately, most conventional short-read sequencing methods are technically challenging, labor intensive and time consuming, requiring several days but more typically weeks to obtain interpretable data which are limited by a bias for short cfDNA fragments.Ã‚Â Here, we demonstrate that with Oxford Nanopore Technologies sequencingÃ‚Â Ã‚Â we can achieve economical and ultra-fast delivery of clinical data from liquid biopsies.Ã‚Â Ã‚Â Our Ã¢Â€Â˜ITSFASTRÃ¢Â€Â™ approach is able to deliver copy number aberrations, and cfDNA fragmentation profiles in less than 24 hours from sample collection. The tumor-derived cfDNA fraction calculated from lung cancer patient plasma and urine from bladder cancer patients was highly correlated (R=0.98) to the tumor fraction calculated from conventional short-read sequencing of the same samples. cfDNA size profile and fragmentation patterns in plasma and urine exhibited the typical cfDNA features yet with a significantly higher proportion of informative fragments that exceed 300bp, exhibiting similar tumor fraction than shorter size fragments. Notably, comprehensive fragment-end composition and nucleosome profiling near transcription start sites can be determined from the same data.Ã‚Â We propose that ITSFASTR is the first point-of-care solution for obtaining genomic and fragmentomic results from liquid biopsies.

| EGAS00001006591 | EGA

Genome-wide methylation analysis of cerebrospinal fluid circulating tumor DNA: a new biomarker for recurrent glioblastoma [MeDIP-Seq]

Project description:Background: Glioblastoma (GBM) is a common malignancy of the central nervous system (CNS) that is prone to recurrent and has a short survival period. Clinical biomarkers for the diagnosis and prognosis of recurrent GBM are lacking.Methods: We collected 4 cerebrospinal fluid (CSF) samples and 1 normal CSF sample from recurrent GBM, as well as paired tissue samples. Genome-wide methylation profiles of CSF circulating tumor DNA (ctDNA) and tissue mRNA transcription profiles were analyzed, and genes were screened by univariate Cox analysis, Lasso regression analysis, and multivariate Cox analysis by the Chinese Glioma Genome Atlas (CGGA) database. Data analysis and visualization were performed using R software, SPSS software, and Graphpad Prism.Results: By taking the intersection of differentially methylated regions (DMRs) and differentially expressed genes (DEGs), 892 genes were selected for Lasso regression analysis and multivariate Cox analysis, and 12 hub genes were finally screened to construct diagnostic and prognostic models. The diagnostic (AUC=0.982) and prognostic (5-years AUC=0.931) models based on the 12 hub genes had high accuracy.Conclusions: This study reveals that 12 hub genes in CSF ctDNA can diagnose and prognosticate recurrent GBM and provide new biomarkers for clinical research into the mechanisms of GBM recurrent.

2023-05-01 | GSE205513 | GEO

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