scholarly journals DNA methylation analysis of SFRP2, GATA4/5, NDRG4 and VIM for the detection of colorectal cancer in fecal DNA

2014 ◽  
Vol 8 (4) ◽  
pp. 1751-1756 ◽  
Author(s):  
HONGNA LU ◽  
SHILIANG HUANG ◽  
XIE ZHANG ◽  
DANPING WANG ◽  
XUESONG ZHANG ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Dna Methylation ◽  
Fecal Dna ◽  
Methylation Analysis ◽  
Dna Methylation Analysis

scholarly journals Value of fecal DNA methylation analysis in early diagnosis of colorectal cancer

2014 ◽  
Vol 22 (22) ◽  
pp. 3201
Author(s):  
Hu Zhang ◽  
You-Qing Zhu ◽  
Ya-Qiong Wu ◽  
Ping Zhang ◽  
Jun Jiang ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Dna Methylation ◽  
Early Diagnosis ◽  
Fecal Dna ◽  
Methylation Analysis ◽  
Dna Methylation Analysis

scholarly journals Multiplexed DNA Methylation Analysis in Colorectal Cancer Using Liquid Biopsy and Its Diagnostic and Predictive Value

2021 ◽  
Vol 43 (3) ◽  
pp. 1419-1435
Author(s):  
Walter Pulverer ◽  
Kristi Kruusmaa ◽  
Silvia Schönthaler ◽  
Jasmin Huber ◽  
Marko Bitenc ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Dna Methylation ◽  
Therapy Monitoring ◽  
Methylation Status ◽  
Methylation Analysis ◽  
Microarray Experiments ◽  
Specific Pcr ◽  
Colonic Adenomas ◽  
Methylation Sensitive Restriction Enzyme ◽  
Dna Methylation Analysis

Early diagnosis of colorectal cancer (CRC) is of high importance as prognosis depends on tumour stage at the time of diagnosis. Detection of tumour-specific DNA methylation marks in cfDNA has several advantages over other approaches and has great potential for solving diagnostic needs. We report here the identification of DNA methylation biomarkers for CRC and give insights in our methylation-sensitive restriction enzyme coupled qPCR (MSRE-qPCR) system. Targeted microarrays were used to investigate the DNA methylation status of 360 cancer-associated genes. Validation was done by qPCR-based approaches. A focus was on investigating marker performance in cfDNA from 88 patients (44 CRC, 44 controls). Finally, the workflow was scaled-up to perform 180plex analysis on 110 cfDNA samples, to identify a DNA methylation signature for advanced colonic adenomas (AA). A DNA methylation signature (n = 44) was deduced from microarray experiments and confirmed by quantitative methylation-specific PCR (qMSP) and by MSRE-qPCR, providing for six genes’ single areas under the curve (AUC) values of >0.85 (WT1, PENK, SPARC, GDNF, TMEFF2, DCC). A subset of the signatures can be used for patient stratification and therapy monitoring for progressed CRC with liver metastasis using cfDNA. Furthermore, we identified a 35-plex classifier for the identification of AAs with an AUC of 0.80.

Identification of an episignature of human colorectal cancer associated with obesity by genome-wide DNA methylation analysis

2018 ◽  
Vol 43 (1) ◽  
pp. 176-188 ◽  
Author(s):  
Ana B. Crujeiras ◽  
Sonsoles Morcillo ◽  
Angel Diaz-Lagares ◽  
Juan Sandoval ◽  
Daniel Castellano-Castillo ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Dna Methylation ◽  
Human Colorectal Cancer ◽  
Methylation Analysis ◽  
Genome Wide ◽  
Dna Methylation Analysis

Genome-wide DNA methylation analysis of formalin-fixed paraffin embedded colorectal cancer tissue

2014 ◽  
Vol 53 (7) ◽  
pp. 537-548 ◽  
Author(s):  
Troy D. Dumenil ◽  
Leesa F. Wockner ◽  
Mark Bettington ◽  
Diane M. McKeone ◽  
Kerenaftali Klein ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Dna Methylation ◽  
Cancer Tissue ◽  
Methylation Analysis ◽  
Colorectal Cancer Tissue ◽  
Genome Wide ◽  
Formalin Fixed Paraffin ◽  
Formalin Fixed Paraffin Embedded ◽  
Dna Methylation Analysis ◽  
Formalin Fixed

scholarly journals Detection of colorectal cancer in urine using DNA methylation analysis

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
S. Bach ◽  
I. Paulis ◽  
N. R. Sluiter ◽  
M. Tibbesma ◽  
I. Martin ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Dna Methylation ◽  
Regression Tree ◽  
Classification And Regression Tree ◽  
Multivariate Logistic Regression ◽  
Methylation Analysis ◽  
Methylated Dna ◽  
Non Invasive ◽  
Regression Tree Analysis ◽  
Dna Methylation Analysis

AbstractColorectal cancer (CRC) is the second leading cause for cancer-related death globally. Clinically, there is an urgent need for non-invasive CRC detection. This study assessed the feasibility of CRC detection by analysis of tumor-derived methylated DNA fragments in urine. Urine samples, including both unfractioned and supernatant urine fractions, of 92 CRC patients and 63 healthy volunteers were analyzed for DNA methylation levels of 6 CRC-associated markers (SEPT9, TMEFF2, SDC2, NDRG4, VIM and ALX4). Optimal marker panels were determined by two statistical approaches. Methylation levels of SEPT9 were significantly increased in urine supernatant of CRC patients compared to controls (p < 0.0001). Methylation analysis in unfractioned urine appeared inaccurate. Following multivariate logistic regression and classification and regression tree analysis, a marker panel consisting of SEPT9 and SDC2 was able to detect up to 70% of CRC cases in urine supernatant at 86% specificity. First evidence is provided for CRC detection in urine by SEPT9 methylation analysis, which combined with SDC2 allows for an optimal differentiation between CRC patients and controls. Urine therefore provides a promising liquid biopsy for non-invasive CRC detection.

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