scholarly journals De novo characterization of cell-free DNA fragmentation hotspots boosts the power for early detection and localization of multi-cancer

2020 ◽  
Author(s):  
Xionghui Zhou ◽  
Yaping Liu
Keyword(s):  
Dna Fragmentation ◽  
De Novo ◽  
Early Stage ◽  
Fine Scale ◽  
Cell Free Dna ◽  
Early Stage Cancer ◽  
Free Dna ◽  
Cancer Types ◽  
Fragmentation Patterns

AbstractThe global variation of cell-free DNA fragmentation patterns is a promising biomarker for cancer diagnosis. However, the characterization of its hotspots and aberrations in early-stage cancer at the fine-scale is still poorly understood. Here, we developed an approach to de novo characterize genome-wide cell-free DNA fragmentation hotspots by integrating both fragment coverage and size from whole-genome sequencing. These hotspots are highly enriched in regulatory elements, such as promoters, and hematopoietic-specific enhancers. Surprisingly, half of the high-confident hotspots are still largely protected by the nucleosome and located near repeats, named inaccessible hotspots, which suggests the unknown origin of cell-free DNA fragmentation. In early-stage cancer, we observed the increases of fragmentation level at these inaccessible hotspots from microsatellite repeats and the decreases of fragmentation level at accessible hotspots near promoter regions, mostly with the silenced biological processes from peripheral immune cells and enriched in CTCF insulators. We identified the fragmentation hotspots from 298 cancer samples across 8 different cancer types (92% in stage I to III), 103 benign samples, and 247 healthy samples. The fine-scale fragmentation level at most variable hotspots showed cancer-specific fragmentation patterns across multiple cancer types and non-cancer controls. Therefore, with the fine-scale fragmentation signals alone in a machine learning model, we achieved 42% to 93% sensitivity at 100% specificity in different early-stage cancer. In cancer positive cases, we further localized cancer to a small number of anatomic sites with a median of 85% accuracy. The results here highlight the significance to characterize the fine-scale cell-free DNA fragmentation hotspot as a novel molecular marker for the screening of early-stage cancer that requires both high sensitivity and ultra-high specificity.

scholarly journals Circulating DNA, a Potentially Sensitive and Specific Diagnostic Tool for Future Medicine

Dose-Response ◽  
2019 ◽  
Vol 17 (4) ◽  
pp. 155932581989101
Author(s):  
Fan Jiang ◽  
Xiaoxiao Yang ◽  
Xiping He ◽  
Mingming Yang
Keyword(s):  
Early Stage ◽  
Point Of Care ◽  
Circulating Dna ◽  
Fetal Cell ◽  
Early Screening ◽  
Cell Free Dna ◽  
Promising Tool ◽  
Free Dna ◽  
Cancer Types ◽  
Commercial Kits

Liquid biopsy has the great potential of detecting early diseases before deterioration and is valued for screening abnormalities at early stage. In oncology, circulating DNA derived from shed cancer cells reflects the tissue of origin, so it could be used to locate tissue sites during early screening. However, the heterogenous parameters of different types limit the clinical application, making it inaccessible to encompass all the cancer types. Instead, for reproducible scenario as pregnancy, fetal cell-free DNA has been well utilized for screening aneuploidies. Noninvasive and convenient as is, it would be of great value in the next decades far more than early diagnosis. This review recapitulates the discovery and development of tumor and fetal cell-free DNA. The common factors are also present that could be taken into consideration when collecting, transporting, and preserving samples. Meanwhile, several protocols used for purifying cell-free DNA, either classic ones or through commercial kits, are compared carefully. In addition, the development of technologies for analyzing cell-free DNA have been summarized and discussed in detail, especially some up-to-date approaches. At the end, the potential prospect of circulating DNA is bravely depicted. In summary, although there would be a lot of efforts before it’s prevalent, cell-free DNA remains a promising tool in point-of-care diagnostic medicine.

scholarly journals Griffin: Framework for clinical cancer subtyping from nucleosome profiling of cell-free DNA

2021 ◽  
Author(s):  
Anna-Lisa Doebley ◽  
Minjeong Ko ◽  
Hanna Liao ◽  
A Eden Cruikshank ◽  
Caroline Kikawa ◽  
...  
Keyword(s):  
High Performance ◽  
Early Stage ◽  
Metastatic Breast ◽  
Chromatin Accessibility ◽  
Precision Oncology ◽  
Tumor Subtype ◽  
Excellent Performance ◽  
Cell Free Dna ◽  
Free Dna ◽  
Cancer Types

Cell-free DNA (cfDNA) has the potential to inform tumor subtype classification and help guide clinical precision oncology. Here we developed Griffin, a new method for profiling nucleosome protection and accessibility from cfDNA to study the phenotype of tumors using as low as 0.1x coverage whole genome sequencing (WGS) data. Griffin employs a novel GC correction procedure tailored to variable cfDNA fragment sizes, which improves the prediction of chromatin accessibility. Griffin achieved excellent performance for detecting tumor cfDNA in early-stage cancer patients (AUC=0.96). Next, we applied Griffin for the first demonstration of estrogen receptor (ER) subtyping in metastatic breast cancer from cfDNA. We analyzed 254 samples from 139 patients and predicted ER subtype with high performance (AUC=0.89), leading to insights about tumor heterogeneity. In summary, Griffin is a framework for accurate clinical subtyping and can be generalizable to other cancer types for precision oncology applications.

scholarly journals Cell-free DNA Fragmentation Patterns in Amniotic Fluid Identify Genetic Abnormalities and Changes due to Storage

2008 ◽  
Vol 17 (3) ◽  
pp. 185-190 ◽  
Author(s):  
Inga Peter ◽  
Hocine Tighiouart ◽  
Olav Lapaire ◽  
Kirby L. Johnson ◽  
Diana W. Bianchi ◽  
...  
Keyword(s):  
Amniotic Fluid ◽  
Dna Fragmentation ◽  
Cell Free Dna ◽  
Free Dna ◽  
Genetic Abnormalities ◽  
Fragmentation Patterns

Genome-wide cell-free DNA fragmentation profiling for early cancer detection.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. 3018-3018
Author(s):  
Alessandro Leal ◽  
Stephen Cristiano ◽  
Jillian Phallen ◽  
Jacob Fiksel ◽  
Vilmos Adleff ◽  
...  
Keyword(s):  
Dna Fragmentation ◽  
White Blood Cells ◽  
Targeted Sequencing ◽  
Healthy Individuals ◽  
Cell Free Dna ◽  
Patients With Cancer ◽  
Molecular Features ◽  
Free Dna ◽  
Genome Wide ◽  
Fragmentation Patterns

3018 Background: Analyses of cell-free DNA (cfDNA) in the blood provide a noninvasive diagnostic avenue for patients with cancer. However, cfDNA analyses have largely focused on targeted sequencing of specific genes, and the characteristics of the origins and molecular features of cfDNA are poorly understood. We developed an ultrasensitive approach that allows simultaneous examination of a large number of abnormalities in cfDNA through genome-wide analysis of fragmentation patterns. Methods: We used a machine learning model to examined cfDNA fragmentation profiles of 236 patients with largely localized breast, colorectal, lung, ovarian, pancreatic, gastric, or bile duct cancer and 245 healthy individuals. Estimation of performance was determined by ten-fold cross validation repeated ten times. Results: cfDNA profiles of healthy individuals reflected nucleosomal patterns of white blood cells, while patients with cancer had altered fragmentation patterns. The degree of abnormality in fragmentation profiles during therapy closely matched levels of mutant allele fractions in cfDNA as determined using ultra-deep targeted sequencing. The sensitivity of detection ranged from 57% to > 99% among the seven cancer types at 98% specificity, with an overall AUC of 0.94. Fragmentation profiles could be used to identify the tissue of origin of the cancers to a limited number of sites in 75% of cases. Combining our approach with mutation-based cfDNA analyses detected 91% of cancer patients. Conclusions: This effort is the first study to demonstrate genome-wide cell-free DNA fragmentation abnormalities in patients with cancer. Results of these analyses highlight important properties of cfDNA and provide a facile approach for screening, early detection, and monitoring of human cancer.

Changes in DNA hydroxymethylation for the detection of multiple cancers in plasma cell-free DNA.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. 3058-3058
Author(s):  
Anna Bergamaschi ◽  
Francois Collins ◽  
Chris Ellison ◽  
Yuhong Ning ◽  
Gulfem Guler ◽  
...  
Keyword(s):  
Cancer Patients ◽  
Tumor Tissue ◽  
Early Stage ◽  
Genomic Feature ◽  
Cell Free Dna ◽  
Early Stage Disease ◽  
Free Dna ◽  
Genome Wide ◽  
Cancer Types

3058 Background: Methylation and hydroxymethylation of cytosines enable the epigenomic regulation of gene suppression and activation. 5-hydroxymethyl-cytosine (5hmC) is globally decreased in tumor tissue. However, genome-wide analysis using precise 5hmC labelling techniques reveals more nuanced changes upon tumorigenesis and raises the possibility that this loss could be exploited for developing a cancer biomarker. This suggests that 5hmC profiles might enable discrete classification of not only tumor tissue but also of tumor cell-free DNA (cfDNA). We sought to identify genome-wide 5hmC changes in plasma based cfDNA from cancer patients representing multiple disease types, stages and clinical characteristics in comparison with non-cancer patients. Methods: cfDNA was isolated from plasma, enriched for the 5hmC fraction using chemical labelling, sequenced, and aligned to the genome to determine 5hmC counts per genomic feature. Regularized regression models were constructed to classify cancer samples (age matched or corrected for smoking status) on non-overlapping training (80% of all samples) and test sample sets (20% of all samples). Results: 226 non-cancer patients and 278 cancers across four cancer types (breast, colorectal, lung-squamous and pancreas) were included in this study, where more than 60% of cancer samples were early stage disease (I or II). Upon comparison with non-cancer samples, 5hmC peaks have reduced enrichment in exons in breast, colorectal and lung cancer but not in pancreatic cancer. Further, 5hmC peaks in pancreas show different patterns of enrichment in 3’UTR, translational termination sites, promoters and LTR. Overall 5hmC signal density was reduced in late stage cancers across all four diseases. The ability to classify non-cancer versus cancer patients was evaluated via cross-validation of out of fold prediction in the training set with AUC > 0.84 for all four cancer types. Further, test set sensitivity across all four cancer types was found to be > 66% with 98% specificity. Conclusions: These findings suggest that 5hmC changes in plasma cfDNA enable classification of early stages of breast, colorectal, lung-squamous and pancreas cancer and are promising biomarkers for disease detection.

Genomic variations in plasma cell free DNA differentiate early stage lung cancers from normal controls

Lung Cancer ◽  
2015 ◽  
Vol 90 (1) ◽  
pp. 78-84 ◽  
Author(s):  
Shu Xia ◽  
Chiang-Ching Huang ◽  
Min Le ◽  
Rachel Dittmar ◽  
Meijun Du ◽  
...  
Keyword(s):  
Plasma Cell ◽  
Early Stage ◽  
Cell Free Dna ◽  
Lung Cancers ◽  
Genomic Variations ◽  
Free Dna ◽  
Normal Controls

scholarly journals Circulating Cell-Free DNA in Liquid Biopsies as Potential Biomarker for Bladder Cancer: A Review

Cancers ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 1448
Author(s):  
Raquel Herranz ◽  
Julia Oto ◽  
Emma Plana ◽  
Álvaro Fernández-Pardo ◽  
Fernando Cana ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Cancer Progression ◽  
Specific Treatment ◽  
Predictive Biomarkers ◽  
Liquid Biopsies ◽  
Cell Free Dna ◽  
Specific Patient ◽  
Free Dna ◽  
Potential Biomarker ◽  
Cancer Types

Bladder cancer (BC) is among the most frequent cancer types in the world and is the most lethal urological malignancy. Presently, diagnostic and follow-up methods for BC are expensive and invasive. Thus, the identification of novel predictive biomarkers for diagnosis, progression, and prognosis of BC is of paramount importance. To date, several studies have evidenced that cell-free DNA (cfDNA) found in liquid biopsies such as blood and urine may play a role in the particular scenario of urologic tumors, and its analysis may improve BC diagnosis report about cancer progression or even evaluate the effectiveness of a specific treatment or anticipate whether a treatment would be useful for a specific patient depending on the tumor characteristics. In the present review, we have summarized the up-to-date studies evaluating the value of cfDNA as potential diagnostic, prognostic, or monitoring biomarker for BC in several biofluids.

scholarly journals Enhanced specificity of clinical high-sensitivity tumor mutation profiling in cell-free DNA via paired normal sequencing using MSK-ACCESS

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
A. Rose Brannon ◽  
Gowtham Jayakumaran ◽  
Monica Diosdado ◽  
Juber Patel ◽  
Anna Razumova ◽  
...  
Keyword(s):  
Cancer Patients ◽  
De Novo ◽  
Low Frequency ◽  
High Sensitivity ◽  
Clinical Analysis ◽  
De Novo Mutation ◽  
Cell Free Dna ◽  
Free Dna ◽  
Somatic Alterations ◽  
Mutation Profiling

AbstractCirculating cell-free DNA from blood plasma of cancer patients can be used to non-invasively interrogate somatic tumor alterations. Here we develop MSK-ACCESS (Memorial Sloan Kettering - Analysis of Circulating cfDNA to Examine Somatic Status), an NGS assay for detection of very low frequency somatic alterations in 129 genes. Analytical validation demonstrated 92% sensitivity in de-novo mutation calling down to 0.5% allele frequency and 99% for a priori mutation profiling. To evaluate the performance of MSK-ACCESS, we report results from 681 prospective blood samples that underwent clinical analysis to guide patient management. Somatic alterations are detected in 73% of the samples, 56% of which have clinically actionable alterations. The utilization of matched normal sequencing allows retention of somatic alterations while removing over 10,000 germline and clonal hematopoiesis variants. Our experience illustrates the importance of analyzing matched normal samples when interpreting cfDNA results and highlights the importance of cfDNA as a genomic profiling source for cancer patients.

Sign in / Sign up

Export Citation Format

Share Document