scholarly journals P-67 Early aneuploidy detection by means of QF-PCR using uterine fetal cell free DNA: A non-invasive approach

2013 ◽  
Vol 26 ◽  
pp. S52
Author(s):  
S. Zeinali ◽  
F. Savadkoohi ◽  
A. Farzad ◽  
H. Bagherian ◽  
S. Sarhadi ◽  
...  
2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Brian C.-H. Chiu ◽  
Chang Chen ◽  
Qiancheng You ◽  
Rudyard Chiu ◽  
Girish Venkataraman ◽  
...  

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.


2021 ◽  
Author(s):  
Thais Sabedot ◽  
Tathiane Malta ◽  
James Snyder ◽  
Kevin Nelson ◽  
Michael Wells ◽  
...  

Abstract Background The detection of somatic mutations in cell-free DNA (cfDNA) from liquid biopsy has emerged as a non-invasive tool to monitor the follow-up of cancer patients. However, the significance of cfDNA clinical utility remains uncertain in patients with brain tumors, primarily because of the limited sensitivity cfDNA has to detect real tumor-specific somatic mutations. This unresolved challenge has prevented accurate follow-up of glioma patients with non-invasive approaches. Methods Genome-wide DNA methylation profiling of tumor tissue and serum cell-free DNA of glioma patients. Results Here, we developed a non-invasive approach to profile the DNA methylation status in the serum of patients with gliomas and identified a cfDNA-derived methylation signature that is associated with the presence of gliomas and related immune features. By testing the signature in an independent discovery and validation cohorts, we developed and verified a score metric (the “glioma epigenetic liquid biopsy score” or GeLB) that optimally distinguished patients with or without glioma (sensitivity: 100%, specificity: 97.78%). Furthermore, we found that changes in GeLB score reflected clinicopathological changes during surveillance (e.g., progression, pseudoprogression or response to standard or experimental treatment). Conclusions Our results suggest that the GeLB score can be used as a complementary approach to diagnose and follow up patients with glioma.


Genes ◽  
2019 ◽  
Vol 11 (1) ◽  
pp. 14 ◽  
Author(s):  
Mariarita Brancaccio ◽  
Francesco Natale ◽  
Geppino Falco ◽  
Tiziana Angrisano

Pancreatic ductal adenocarcinoma (PDAC) is among the most lethal cancer types world-wide. Its high mortality is related to the difficulty in the diagnosis, which often occurs when the disease is already advanced. As of today, no early diagnostic tests are available, while only a limited number of prognostic tests have reached clinical practice. The main reason is the lack of reliable biomarkers that are able to capture the early development or the progression of the disease. Hence, the discovery of biomarkers for early diagnosis or prognosis of PDAC remains, de facto, an unmet need. An increasing number of studies has shown that cell-free DNA (cfDNA) methylation analysis represents a promising non-invasive approach for the discovery of biomarkers with diagnostic or prognostic potential. In particular, cfDNA methylation could be utilized for the identification of disease-specific signatures in pre-neoplastic lesions or chronic pancreatitis (CP), representing a sensitive and non-invasive method of early diagnosis of PDAC. In this review, we will discuss the advantages and pitfalls of cfDNA methylation studies. Further, we will present the current advances in the discovery of pancreatic cancer biomarkers with early diagnostic or prognostic potential, focusing on pancreas-specific (e.g., CUX2 or REG1A) or abnormal (e.g., ADAMTS1 or BNC1) cfDNA methylation signatures in high risk pre-neoplastic conditions and PDAC.


2012 ◽  
Vol 413 (3-4) ◽  
pp. 490-494 ◽  
Author(s):  
Hada C. Macher ◽  
Pilar Noguerol ◽  
Pablo Medrano-Campillo ◽  
María R. Garrido-Márquez ◽  
Amalia Rubio-Calvo ◽  
...  

2020 ◽  
Vol 134 (1) ◽  
pp. 104-106
Author(s):  
Ying Lin ◽  
Dong Liang ◽  
Ping Hu ◽  
Hang Li ◽  
Chun-Yu Luo ◽  
...  

Author(s):  
Fiona Senchyna ◽  
Catherine A Hogan ◽  
Kanagavel Murugesan ◽  
Angel Moreno ◽  
Dora Y Ho ◽  
...  

Abstract Background Invasive fungal infection (IFI) is a growing cause of morbidity and mortality in oncology and transplant patients. Diagnosis of IFI is often delayed due to need for invasive biopsy and low sensitivity of conventional diagnostic methods. Fungal cell-free DNA (cfDNA) detection in plasma is a novel testing modality for the non-invasive diagnosis of IFI. Methods A novel bioinformatic pipeline was created to interrogate fungal genomes and identify multicopy sequences for cfDNA PCR targeting. A real-time PCR panel was developed for 12 genera and species most commonly causing IFI. Sensitivity and specificity of the fungal PCR panel were determined using plasma samples from patients with IFI and non-IFI controls. Clinical impact of fungal PCR panel was evaluated prospectively based on the treating team’s interpretation of the results. Results Overall, the sensitivity and specificity were 56.5% (65/115, 95% confidence interval [CI], 47.4%-65.2%) and 99.5% (2064/2075; 95% CI, 99.0%-99.7%), respectively. In the subset of patients with an optimized plasma volume (2mL), sensitivity was 69.6% (48/69; 95% CI, 57.9%-79.2%). Sensitivity was 91.7% (11/12; 95% CI, 62.5%-100%) for detection of Mucorales agents, 56.3% (9/16; 95% CI, 33.2%-76.9%) for Aspergillus species, and 84.6% (11/13; 95% CI, 56.5%-96.9%) for Candida albicans. In a prospective evaluation of 226 patients with suspected IFI, cfDNA testing was positive in 47 (20.8%) patients and resulted in a positive impact on clinical management in 20/47 (42.6%). Conclusions The fungal cfDNA PCR panel offers a non-invasive approach to early diagnosis of IFI, providing actionable results for personalized care.


2022 ◽  
Author(s):  
Jin-Lin Chu ◽  
Shu-Hong Bi ◽  
Yao He ◽  
Rui-Yao Ma ◽  
Xing-Yu Wan ◽  
...  

Abstract Background: Complications of diabetes mellitus (DM) are the leading cause of DM-related disability and mortality. Notably, diabetic kidney disease (DKD), one of the main complications of DM, has become a frequent cause of end-stage renal disease. A clinically convenient, non-invasive approach for monitoring the development of DKD would benefit the overall life quality of patients with DM and contribute to lower medical burdens through promoting preventive interventions.Methods: We utilized 5hmC-Seal to profile genome-wide 5-hydroxymethylcytosines in plasma cell-free DNA (cfDNA). Candidate genes were identified by intersecting the differentially modified 5hmC marker genes (DMGs) and differentially expressed genes (DEGs) from the GEO datasets GSE30528 and GSE30529. Cytoscape software was used to construct the protein-protein interaction (PPI) network and identify the hub genes.Results: The final gene panel of 9 hub genes, including (CTNNB1, PTEN, MYD88, ITGAM, CD28, ITGB2, VCAM1, CXCR4, CD44) were confirmed. Further analysis indicated that this 9-gene signature showed a good capacity to distinguish between DKD and DM. Conclusions: The 5hmC-Seal assay was successfully applied to the cfDNA samples from a cohort of DM patients with or without DKD. Altered 5hmC signatures in plasma cfDNA indicate that 5hmC-Seal has the potential to be a non-invasive epigenetic tool for monitoring the development of DKD and be a part of diabetic care.


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