scholarly journals Detection of glioma and prognostic subtypes by non-invasive circulating cell-free DNA methylation markers

2019 ◽  
Author(s):  
H Noushmehr ◽  
TS Sabedot ◽  
TM Malta ◽  
K Nelson ◽  
J Snyder ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Cerebrospinal Fluid ◽  
Tumor Tissue ◽  
Standard Of Care ◽  
Pancreatic Islet Transplantation ◽  
Cell Free Dna ◽  
Non Invasive ◽  
Free Dna ◽  
Genome Wide ◽  
Low Sensitivity

SUMMARYGenome-wide DNA methylation profiling has shown that epigenetic abnormalities are biologically important in glioma and can be used to classify these tumors into distinct prognostic groups. Thus far, DNA profiling has required surgically resected glioma tissue; however, gliomas release tumoral material into biofluids, such as blood and cerebrospinal fluid, providing an opportunity for a minimally invasive testing. While prior studies have shown that genetic and epigenetic markers can be detected in blood or cerebrospinal fluid (e.g., liquid biopsy [LB]), there has been low sensitivity for tumor-specific markers. We hypothesize that the low sensitivity is due to the targeted assay methods. Therefore, we profiled the genome-wide CpG methylation levels in DNA of tumor tissue and cell-free DNA in serum of glioma patients, to identify non-invasive epigenetic LB (eLB) markers in the serum that reflect the characteristics of the tumor tissue. From the epigenetic profiles of serum from patients diagnosed with glioma (N=15IDHmutant and N=7IDHwildtype) and with epilepsy (N=3), we defined glioma-specific andIDH-specific eLB signatures (Glioma-eLB andIDH-eLB, respectively). The epigenetic profiles of the matched tissue demonstrate that these eLB signatures reflected the signature of the tumor. Through cross-validation we show that Glioma-eLB can accurately predict a patient’s glioma from those with other neoplasias (N=6 Colon; N=14 Pituitary; N=3 Breast; N=4 Lung), non-neoplastic immunological conditions (N=22 sepsis; N=9 pancreatic islet transplantation), and from healthy individuals (sensitivity: 98%; specificity: 99%). Finally,IDH-eLB includes promoter methylated markers associated with genes known to be involved in glioma tumorigenesis (PVT1andCXCR6). The application of the non-invasive eLB signature discovered in this study has the potential to complement the standard of care for patients harboring glioma.

scholarly journals OS1.5 Detection of glioma and prognostic subtypes by non-invasive circulating cell-free DNA methylation markers

2019 ◽  
Vol 21 (Supplement_3) ◽  
pp. iii6-iii6
Author(s):  
H Noushmehr ◽  
T Sabedot ◽  
T Malta ◽  
K Nelson ◽  
J Snyder ◽  
...  
Keyword(s):  
United States ◽  
Dna Methylation ◽  
Standard Of Care ◽  
United States Department ◽  
Pancreatic Islet Transplantation ◽  
Cell Free Dna ◽  
Non Invasive ◽  
Free Dna ◽  
Genome Wide ◽  
Low Sensitivity

Abstract BACKGROUND: Genome-wide DNA methylation profiling has shown that epigenetic abnormalities are biologically important in glioma and can be used to classify these tumors into distinct prognostic groups. Thus far, DNA profiling has required surgically resected glioma tissue; however, gliomas release tumoral material into biofluids providing an opportunity for a minimally invasive testing. While prior studies have shown that molecular markers can be detected in liquid biopsy (LB), there has been low sensitivity for tumor-specific markers. We hypothesize that the low sensitivity is due to the targeted assay methods. METHODS: Genome-wide CpG methylation levels in DNA of tumor tissue and cell-free DNA serum of glioma patients. RESULTS: We defined glioma-specific and IDH-specific epigenetic LB (eLB) signatures (Glioma-eLB and IDH-eLB, respectively) from serum cell-free DNA from patients diagnosed with glioma (N=15 IDH mutant and N=7 IDH wildtype) and with epilepsy (N=3). The epigenetic profiles of the matched tissue demonstrate that these eLB signatures reflected the signature of the tumor. Through cross-validation we show that Glioma-eLB can accurately predict a patient’s glioma from those with other neoplasias (N=6 Colon; N=14 Pituitary; N=3 Breast; N=4 Lung), non-neoplastic immunological conditions (N=22 sepsis; N=9 pancreatic islet transplantation), and from healthy individuals (sensitivity: 98%; specificity: 99%). Finally, IDH-eLB includes promoter methylated markers associated with genes known to be involved in glioma tumorigenesis (PVT1 and CXCR6). CONCLUSIONS: The application of the non-invasive eLB signature discovered in this study has the potential to complement the standard of care for patients harboring glioma. This project is supported by the Henry Ford Health System, Department of Neurosurgery and the Hermelin Brain Tumor Center Foundation (A30935), United States National Institutes of Health (R01CA222146), and United States Department of Defense (CA170278)

scholarly journals Detection of Glioma and Prognostic Subtypes by Noninvasive Circulating Cell-Free DNA Methylation Markers

Neurosurgery ◽  
2019 ◽  
Vol 66 (Supplement_1) ◽  
Author(s):  
Ian Yu Lee ◽  
Thais Sabedot ◽  
Tathiane Malta ◽  
James Snyder ◽  
Michael Wells ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Standard Of Care ◽  
Pancreatic Islet Transplantation ◽  
Cell Free Dna ◽  
Free Dna ◽  
Genome Wide ◽  
Minimally Invasive Testing ◽  
Assay Methods ◽  
Low Sensitivity ◽  
Matched Tissue

Abstract INTRODUCTION Genome-wide DNA methylation profiling has shown that epigenetic abnormalities are biologically important in glioma and can be used to classify these tumors into distinct prognostic groups. Thus far, DNA profiling has required surgically resected glioma tissue; however, gliomas release tumoral material into biofluids providing an opportunity for a minimally invasive testing. While prior studies have shown that molecular markers can be detected in liquid biopsy (LB), there has been low sensitivity for tumor-specific markers. We hypothesize that the low sensitivity is due to the targeted assay methods. METHODS Genome-wide CpG methylation levels in DNA of tumor tissue and cell-free DNA serum of glioma patients. RESULTS We defined glioma-specific and IDH-specific epigenetic LB (eLB) signatures (Glioma-eLB and IDH-eLB, respectively) from serum cell-free DNA from patients diagnosed with glioma (N = 15 IDH mutant and N = 7 IDH wildtype) and with epilepsy (N = 3). The epigenetic profiles of the matched tissue demonstrate that these eLB signatures reflected the signature of the tumor. Through cross-validation we show that Glioma-eLB can accurately predict a patient's glioma from those with other neoplasias (N = 6 Colon; N = 14 Pituitary; N = 3 Breast; N = 4 Lung), non-neoplastic immunological conditions (N = 22 sepsis; N = 9 pancreatic islet transplantation), and from healthy individuals (sensitivity: 98%; specificity: 99%). Finally, IDH-eLB includes promoter methylated markers associated with genes known to be involved in glioma tumorigenesis (PVT1 and CXCR6). CONCLUSION The application of the noninvasive eLB signature discovered in this study has the potential to complement the standard of care for patients harboring glioma.

scholarly journals Aging-associated distinctive DNA methylation changes of LINE-1 retrotransposons in pure cell-free DNA from human blood

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Wardah Mahmood ◽  
Lars Erichsen ◽  
Pauline Ott ◽  
Wolfgang A. Schulz ◽  
Johannes C. Fischer ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Cell Free Dna ◽  
The Past ◽  
Free Dna ◽  
Genome Wide ◽  
Cancerous Cell ◽  
Pure Cell ◽  
Epigenetic Biomarker ◽  
Methylation Patterns ◽  
Cancerous Cells

AbstractLINE-1 hypomethylation of cell-free DNA has been described as an epigenetic biomarker of human aging. However, in the past, insufficient differentiation between cellular and cell-free DNA may have confounded analyses of genome-wide methylation levels in aging cells. Here we present a new methodological strategy to properly and unambiguously extract DNA methylation patterns of repetitive, as well as single genetic loci from pure cell-free DNA from peripheral blood. Since this nucleic acid fraction originates mainly in apoptotic, senescent and cancerous cells, this approach allows efficient analysis of aged and cancerous cell-specific DNA methylation patterns for diagnostic and prognostic purposes. Using this methodology, we observe a significant age-associated erosion of LINE-1 methylation in cfDNA suggesting that the threshold of hypomethylation sufficient for relevant LINE-1 activation and consequential harmful retrotransposition might be reached at higher age. We speculate that this process might contribute to making aging the main risk factor for many cancers.

scholarly journals Alterations of 5-hydroxymethylation in circulating cell-free DNA reflect molecular distinctions of subtypes of non-Hodgkin lymphoma

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Brian C.-H. Chiu ◽  
Chang Chen ◽  
Qiancheng You ◽  
Rudyard Chiu ◽  
Girish Venkataraman ◽  
...  
Keyword(s):  
B Cell Lymphoma ◽  
Cell Free Dna ◽  
Invasive Approach ◽  
Non Invasive ◽  
Signature Genes ◽  
Non Hodgkin Lymphoma ◽  
Free Dna ◽  
Genome Wide ◽  
Circulating Cell Free Dna

AbstractThe 5-methylcytosines (5mC) have been implicated in the pathogenesis of diffuse large B-cell lymphoma (DLBCL) and follicular lymphoma (FL). However, the role of 5-hydroxymethylcytosines (5hmC) that are generated from 5mC through active demethylation, in lymphomagenesis is unknown. We profiled genome-wide 5hmC in circulating cell-free DNA (cfDNA) from 73 newly diagnosed patients with DLBCL and FL. We identified 294 differentially modified genes between DLBCL and FL. The differential 5hmC in the DLBCL/FL-differentiating genes co-localized with enhancer marks H3K4me1 and H3K27ac. A four-gene panel (CNN2, HMG20B, ACRBP, IZUMO1) robustly represented the overall 5hmC modification pattern that distinguished FL from DLBCL with an area under curve of 88.5% in the testing set. The median 5hmC modification levels in signature genes showed potential for separating patients for risk of all-cause mortality. This study provides evidence that genome-wide 5hmC profiles in cfDNA differ between DLBCL and FL and could be exploited as a non-invasive approach.

Modeling cell-free DNA fragment size densities for non-invasive detection of cancer.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 3058-3058
Author(s):  
Jacob Carey ◽  
Bryan Chesnick ◽  
Denise Butler ◽  
Michael Rongione ◽  
Giovanni Parmigiani ◽  
...  
Keyword(s):  
Fragment Size ◽  
Length Distribution ◽  
Mixture Component ◽  
Base Pairs ◽  
Machine Model ◽  
Cell Free Dna ◽  
Non Invasive ◽  
Free Dna ◽  
Genome Wide ◽  
Low Coverage

3058 Background: Circulating cell-free DNA (cfDNA) is largely nucleosomal in origin with typical fragment lengths of 167 base-pairs reflecting the length of DNA wrapped around-the histone and H1 linker. Given the nucleosomal origin of cfDNA, we have previously used low coverage whole genome sequencing to evaluate DNA fragmentation profiles to sensitively and specifically detect tumor-derived DNA with altered fragment lengths or coverage. Methods: Here we evaluate the use of Bayesian finite mixtures to model the fragment length distribution and demonstrate how the parameters from these models can be useful to distinguish between individuals with and without cancer. We examined the number of cfDNA fragments by size ranging from 100-220bp and approximated the mixture component location, scale, and weight using Markov Chain Monte Carlo. The performance of the method was determined using a ten-fold, ten repeat cross-validation of Gradient Boosted Machine model using 1) our previously described genome-wide fragmentation profile approach, 2) the parameters from the mixture model and 3) a combination of approaches 1) and 2) as features. Results: In this study of 215 cancer patients and 208 cancer-free individuals, we observed cross-validated AUCs of 1) 0.94, 2) 0.95, and 3) 0.97 among the three approaches. Conclusions: Our findings indicate that parsimonious mixture models may improve detection of cancer in conjunction with fragmentation profile analyses across the genome.

GENOME-WIDE PROFILING AND HAPLOTYPING OF CELL-FREE DNA ENABLING COMBINED NON-INVASIVE PRENATAL DIAGNOSIS OF INHERITED MONOGENIC DISEASES AND ANEUPLOIDY

2019 ◽  
Vol 39 ◽  
pp. e10-e11
Author(s):  
Huiwen Che ◽  
Darine Vileila ◽  
Eftychia Dimitriadou ◽  
Jia Ding ◽  
Thierry Voet ◽  
...  
Keyword(s):  
Prenatal Diagnosis ◽  
Cell Free Dna ◽  
Non Invasive ◽  
Free Dna ◽  
Genome Wide ◽  
Monogenic Diseases

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

2021 ◽  
Author(s):  
Jiajun Cai ◽  
Chang Zeng ◽  
Wei Hua ◽  
Zengxin Qi ◽  
Yanqun Song ◽  
...  
Keyword(s):  
Clinical Outcomes ◽  
Idh1 Mutation ◽  
Healthy Individuals ◽  
Cell Free Dna ◽  
Mutation Status ◽  
Non Invasive ◽  
Free Dna ◽  
Genome Wide ◽  
Validation Set ◽  
Circulating Cell Free Dna

Abstract 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.

scholarly journals Detection and characterization of lung cancer using cell-free DNA fragmentomes

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Dimitrios Mathios ◽  
Jakob Sidenius Johansen ◽  
Stephen Cristiano ◽  
Jamie E. Medina ◽  
Jillian Phallen ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cancer Detection ◽  
Cell Lung Cancer ◽  
Small Cell ◽  
Small Cell Lung ◽  
Cell Free Dna ◽  
Non Invasive ◽  
Free Dna ◽  
Genome Wide

AbstractNon-invasive approaches for cell-free DNA (cfDNA) assessment provide an opportunity for cancer detection and intervention. Here, we use a machine learning model for detecting tumor-derived cfDNA through genome-wide analyses of cfDNA fragmentation in a prospective study of 365 individuals at risk for lung cancer. We validate the cancer detection model using an independent cohort of 385 non-cancer individuals and 46 lung cancer patients. Combining fragmentation features, clinical risk factors, and CEA levels, followed by CT imaging, detected 94% of patients with cancer across stages and subtypes, including 91% of stage I/II and 96% of stage III/IV, at 80% specificity. Genome-wide fragmentation profiles across ~13,000 ASCL1 transcription factor binding sites distinguished individuals with small cell lung cancer from those with non-small cell lung cancer with high accuracy (AUC = 0.98). A higher fragmentation score represented an independent prognostic indicator of survival. This approach provides a facile avenue for non-invasive detection of lung cancer.

Epigenetic biomarkers for noninvasive detection of colorectal cancer.

2019 ◽  
Vol 37 (8_suppl) ◽  
pp. 45-45
Author(s):  
Dhruvajyoti Roy ◽  
David Taggart ◽  
Lianghong Zheng ◽  
Dan Liu ◽  
Gen Li ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Dna Methylation ◽  
Stage I ◽  
Cancer Stage ◽  
Cell Free Dna ◽  
Non Invasive ◽  
Epigenetic Biomarkers ◽  
Free Dna ◽  
Diagnostic Potential ◽  
Target Sites

45 Background: Aberrant DNA hypermethylation is known to be a major mechanism for inactivation of cancer-associated genes, including tumor suppressor genes, in colorectal cancer (CRC) and in other human cancers. Cancer-specific DNA methylation patterns of cell-free DNA (cfDNA) isolated from blood samples is a non-invasive method to obtain representative epigenetic information from solid tumors. In the present study, we identified and validated colorectal cancer-specific methylation markers for diagnosis of the disease with high sensitivity and specificity. We also compared the relative amount of DNA methylation at these target sites in relation to colorectal cancer stage. Methods: For marker validation, a total of 154 samples drawn from 68 subjects diagnosed with colorectal cancer (Stage I to IV), 42 healthy donors, 14 subjects with benign colorectal diseases, and 30 subjects diagnosed with other cancer types (breast, liver and lung cancer: 10 cases each) were obtained for a randomized, blinded study. Cell-free DNA was then extracted from the samples, bisulfite converted, and DNA methylation was quantified by using the IvyGene Platform. Results: By quantifying DNA methylation at the target sites, colorectal cancer samples were differentiated from samples drawn from healthy subjects or subjects with benign disease with an overall sensitivity of 93% (95% CI: 86-99) and specificity of 100% (95% CI: 85-100). All stages (I to IV) of colorectal cancer were identified with sensitivities ranging from 67% to 100%. None of the 30 samples drawn from subjects diagnosed with breast, liver or lung cancers were incorrectly identified as a colorectal cancer by the assay, for a calculated analytical specificity of 100%. Conclusions: These results demonstrate the high diagnostic potential of cfDNA methylation markers isolated from blood for the detection of colorectal cancer. Taken together, these findings establish the utility of methylation biomarkers for the detection of colorectal cancers as early as Stage I. In addition, a quantitative analysis of cfDNA provides an opportunity for non-invasive detection and monitoring of disease.

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