Abstract 3324: Non-invasive detection of aberrant DNA methylation in colorectal cancer by multiplex methylation specific PCR

Author(s):  
Lili Ye ◽  
Chunting Zheng ◽  
Yuan Jie ◽  
Bin Li ◽  
Yuan Li ◽  
...  
Cancer ◽  
2008 ◽  
Vol 114 (1) ◽  
pp. 57-64 ◽  
Author(s):  
Steven L. Kahn ◽  
Brigitte M. Ronnett ◽  
Patti E. Gravitt ◽  
Karen S. Gustafson

2021 ◽  
Vol 43 (3) ◽  
pp. 1419-1435
Author(s):  
Walter Pulverer ◽  
Kristi Kruusmaa ◽  
Silvia Schönthaler ◽  
Jasmin Huber ◽  
Marko Bitenc ◽  
...  

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.


2021 ◽  
pp. canres.3562.2020
Author(s):  
Samuel A. Miller ◽  
Robert A. Policastro ◽  
Shruthi Sriramkumar ◽  
Tim Lai ◽  
Thomas D. Huntington ◽  
...  

Cancers ◽  
2019 ◽  
Vol 11 (10) ◽  
pp. 1598 ◽  
Author(s):  
Francesco Picardo ◽  
Antonella Romanelli ◽  
Laura Muinelo-Romay ◽  
Tommaso Mazza ◽  
Caterina Fusilli ◽  
...  

Epigenetic modifications of glyco-genes have been documented in different types of cancer and are tightly linked to proliferation, invasiveness, metastasis, and drug resistance. This study aims to investigate the diagnostic, prognostic, and therapy-response predictive value of the glyco-gene B4GALT1 in colorectal cancer (CRC) patients. A Kaplan–Meier analysis was conducted in 1418 CRC patients (GEO and TCGA datasets) to assess the prognostic and therapy-response predictive values of the aberrant expression and methylation status of B4GALT1. Quantitative methylation-specific PCR (QMSP) and droplet digital quantitative methylation-specific PCR (dd-QMSP) were respectively used to detect hypermethylated B4GALT1 in metastasis and plasma in four cohorts of metastatic CRC cases (mCRC). Both the downregulated expression and promoter hypermethylation of B4GALT1 have a negative prognostic impact on CRC. Interestingly a low expression level of B4GALT1 was significantly associated with poor cetuximab response (progression-free survival (PFS) p = 0.01) particularly in wild-type (WT)-KRAS patients (p = 0.03). B4GALT1 promoter was aberrantly methylated in liver and lung metastases. The detection of hypermethylated B4GALT1 in plasma of mCRC patients showed a highly discriminative receiver operating characteristic (ROC) curve profile (area under curve (AUC) value 0.750; 95% CI: 0.592–0.908, p = 0.008), clearly distinguishing mCRC patients from healthy controls. Based on an optimal cut-off value defined by the ROC analysis, B4GALT1 yield a 100% specificity and a 50% sensitivity. These data support the potential value of B4GALT1 as an additional novel biomarker for the prediction of cetuximab response, and as a specific and sensitive diagnostic circulating biomarker that can be detected in CRC.


2020 ◽  
Vol 21 (3) ◽  
pp. 1117 ◽  
Author(s):  
Michael Rose ◽  
Sarah Bringezu ◽  
Laura Godfrey ◽  
David Fiedler ◽  
Nadine T. Gaisa ◽  
...  

Bladder cancer is one of the more common malignancies in humans and the most expensive tumor for treating in the Unites States (US) and Europe due to the need for lifelong surveillance. Non-invasive tests approved by the FDA have not been widely adopted in routine diagnosis so far. Therefore, we aimed to characterize the two putative tumor suppressor genes ECRG4 and ITIH5 as novel urinary DNA methylation biomarkers that are suitable for non-invasive detection of bladder cancer. While assessing the analytical performance, a spiking experiment was performed by determining the limit of RT112 tumor cell detection (range: 100–10,000 cells) in the urine of healthy donors in dependency of the processing protocols of the RWTH cBMB. Clinically, urine sediments of 474 patients were analyzed by using quantitative methylation-specific PCR (qMSP) and Methylation Sensitive Restriction Enzyme (MSRE) qPCR techniques. Overall, ECRG4-ITIH5 showed a sensitivity of 64% to 70% with a specificity ranging between 80% and 92%, i.e., discriminating healthy, benign lesions, and/or inflammatory diseases from bladder tumors. When comparing single biomarkers, ECRG4 achieved a sensitivity of 73%, which was increased by combination with the known biomarker candidate NID2 up to 76% at a specificity of 97%. Hence, ITIH5 and, in particular, ECRG4 might be promising candidates for further optimizing current bladder cancer biomarker panels and platforms.


Tumor Biology ◽  
2016 ◽  
Vol 37 (9) ◽  
pp. 12609-12618 ◽  
Author(s):  
Fuhua Yang ◽  
Qiang Gong ◽  
Wentao Shi ◽  
Yunding Zou ◽  
Jingmin Shi ◽  
...  

2010 ◽  
Vol 138 (5) ◽  
pp. 1854-1862.e1 ◽  
Author(s):  
Ajay Goel ◽  
Rosa M. Xicola ◽  
Thuy–Phuong Nguyen ◽  
Brian J. Doyle ◽  
Vanessa R. Sohn ◽  
...  

PLoS ONE ◽  
2012 ◽  
Vol 7 (11) ◽  
pp. e45908 ◽  
Author(s):  
Zhe Zhang ◽  
Di Sun ◽  
Susanna Hilda Hutajulu ◽  
Imran Nawaz ◽  
Do Nguyen Van ◽  
...  

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