scholarly journals Genome-wide cell-free DNA methylation profiling in lung cancer patients

2018 ◽  
pp. 67-67
Keyword(s):  
Lung Cancer ◽  
Dna Methylation ◽  
Cancer Patients ◽  
Cell Free Dna ◽  
Lung Cancer Patients ◽  
Free Dna ◽  
Genome Wide ◽  
Dna Methylation Profiling ◽  
Methylation Profiling

scholarly journals Genome-Wide Plasma Cell-Free DNA Methylation Profiling Identifies Potential Biomarkers for Lung Cancer

2019 ◽  
Vol 2019 ◽  
pp. 1-7 ◽  
Author(s):  
Wei Xu ◽  
Jun Lu ◽  
Qiang Zhao ◽  
Jun Wu ◽  
Jielin Sun ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Dna Methylation ◽  
Cancer Patients ◽  
Gene Promoters ◽  
Cell Free Dna ◽  
Lung Cancer Patients ◽  
Free Dna ◽  
Differentially Methylated Genes ◽  
Potential Biomarker ◽  
Methylation Profiling

As a noninvasive blood testing, the detection of cell-free DNA (cfDNA) methylation in plasma has raised an increasing interest due to diagnostic applications. Although extensively used in cfDNA methylation analysis, bisulfite sequencing is less cost-effective. In this study, we investigated the cfDNA methylation patterns in lung cancer patients by MeDIP-seq. Compared with the healthy individuals, 330 differentially methylated regions (DMRs) at gene promoters were identified in lung cancer patients with 33 hypermethylated and 297 hypomethylated regions, respectively. Moreover, these hypermethylated genes were validated with the publicly available DNA methylation data, yielding a set of ten significant differentially methylated genes in lung cancer, including B3GAT2, BCAR1, HLF, HOPX, HOXD11, MIR1203, MYL9, SLC9A3R2, SYT5, and VTRNA1-3. Our study demonstrated MeDIP-seq could be effectively used for cfDNA methylation profiling and identified a set of potential biomarker genes with clinical application for lung cancer.

scholarly journals P1.02-076 DNA Methylation Profiling Unravels a TGF-β Hyperresponse in Tumor Associated Fibroblasts from Lung Cancer Patients

2017 ◽  
Vol 12 (1) ◽  
pp. S534-S535
Author(s):  
Rafael Ikemori ◽  
Miguel Vizoso ◽  
Marta Puig ◽  
Anna Labernardie ◽  
Marta Gabasa ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Dna Methylation ◽  
Cancer Patients ◽  
Lung Cancer Patients ◽  
Dna Methylation Profiling ◽  
Methylation Profiling

scholarly journals Genome-Wide Analysis of Cell-Free DNA Methylation Profiling with MeDIP-Seq Identified Potential Biomarkers for Colorectal Cancer

2021 ◽  
Author(s):  
Xin Zhang ◽  
Tao Li ◽  
Qiang Niu ◽  
Chang Jiang Qin ◽  
Ming Zhang ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Dna Methylation ◽  
Cancer Patients ◽  
Cell Free Dna ◽  
Free Dna ◽  
Genome Wide ◽  
A Genome ◽  
Colorectal Cancer Patients ◽  
Methylation Profiling ◽  
Potential Biomarkers

Abstract Background: To verify the feasibility of genome-wide plasma cell-free DNA(cfDNA) methylation profiling for early diagnosis of colorectal cancer.Methods: We performed a genome-wide cfDNA methylation profiling study of colorectal cancer patients by methylated DNA immunoprecipitation coupled with high throughput sequencing (MeDIP-seq).Results: Compared with the control group, 939 differentially methylated regions (DMRs) located in promoter regions were found in colorectal cancer patients, 16 of these DMRs were hypermethylated and the remaining 923 were hypomethylated. In addition, these hypermethylated genes, mainly including PRDM14, RALYL, ELMOD1, and TMEM132E, were validated and confirmed in colorectal cancer by using publicly available DNA methylation data.Conclusions: Our study indicates that MeDIP-seq can be used as an optimal approach for analyzing cfDNA methylomes, and the differentially methylated genes obtained by MeDIP-seq can be used as potential biomarkers for clinical application in patients with colorectal cancer.

scholarly journals Dynamics of methylated cell-free DNA in the urine of non-small cell lung cancer patients

Epigenetics ◽  
2021 ◽  
pp. 1-13
Author(s):  
Sander Bach ◽  
Birgit M.M. Wever ◽  
Mark A. van de Wiel ◽  
Joris D. Veltman ◽  
Sayed M.S. Hashemi ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cancer Patients ◽  
Cell Lung Cancer ◽  
Small Cell ◽  
Small Cell Lung ◽  
Cell Free Dna ◽  
Lung Cancer Patients ◽  
Free Dna

scholarly journals EP-1368 Circulating cell free DNA during chemoradiotherapy in non-small cell lung cancer patients

2019 ◽  
Vol 133 ◽  
pp. S747-S748
Author(s):  
L. Nygaard ◽  
L. Ahlborn ◽  
G. Persson ◽  
D. Chandrananda ◽  
J. Langer ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cancer Patients ◽  
Cell Lung Cancer ◽  
Small Cell ◽  
Small Cell Lung ◽  
Cell Free Dna ◽  
Lung Cancer Patients ◽  
Free Dna ◽  
Circulating Cell Free Dna

scholarly journals Implication of DNA Methylation Profiling in Oral Epithelium for Lung Cancer Screening

2012 ◽  
Vol 2012 ◽  
pp. 1-6
Author(s):  
Hiroaki Harada ◽  
Kazuaki Miyamoto ◽  
Yoshinori Yamashita ◽  
Kikuo Nakano ◽  
Kiyomi Taniyama ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Dna Methylation ◽  
Cancer Patients ◽  
Methylation Status ◽  
Lung Cancer Screening ◽  
High Specificity ◽  
Oral Epithelium ◽  
Molecular Alterations ◽  
Dna Methylation Profiling ◽  
Methylation Profiling

In lung cancer, the roles of molecular alterations in blood, sputum, bronchial brushing, and exhaled gas samples, which are relatively easy to obtain, have been evaluated for clinical availability. This study was based on the hypothesis that similar molecular alterations occur in the lung and oral cavity because both are exposed to the same environmental or tobacco-derived carcinogens. Because epigenetic alterations due to exposure to carcinogens are thought to play a major role in the development of lung cancer, the DNA methylation status of 11 genes in the oral epithelium was analyzed in lung cancer patients (n=16) and control individuals without lung cancer (n=32). DNA methylation profiling revealed that GDNF, RARB, and HS3ST2 were methylated more frequently in cancer patients than in the control participants (P=0.0017, 0.0062, and 0.0193, resp.). Combined analysesindicatedthat 6 of 16 cancer patients (37.5%), but only 1 of 32 control individuals (3.1%) showed DNA methylation in 2-3 of these 3 genes (P=0.0015). These combined analyses showed the high specificity and positive predictive value in total and subgroup analyses. Our data suggest that DNA methylation profiling using oral epithelium may help in the identification of individuals with a high risk of lung cancer.

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