Name
Title | ||
|---|---|---|
5-Hydroxymethylome in Circulating Cell-free DNA as A Potential Biomarker for Non-small-cell Lung Cancer. |
Abstract | ||
|---|---|---|
Non-small-cell lung cancer (NSCLC), the most common type of lung cancer accounting for 85% of the cases, is often diagnosed at advanced stages owing to the lack of efficient early diagnostic tools. 5-Hydroxymethylcytosine (5hmC) signatures in circulating cell-free DNA (cfDNA) that carries the cancer-specific epigenetic patterns may represent the valuable biomarkers for discriminating tumor and healthy individuals, and thus could be potentially useful for NSCLC diagnosis. Here, we employed a sensitive and reliable method to map genome-wide 5hmC in the cfDNA of Chinese NSCLC patients and detected a significant 5hmC gain in both the gene bodies and promoter regions in the blood samples from tumor patients compared with healthy controls. Specifically, we identified six potential biomarkers from 66 patients and 67 healthy controls (mean decrease accuracy >3.2, P < 3.68E−19) using machine-learning-based tumor classifiers with high accuracy. Thus, the unique signature of 5hmC in tumor patient’s cfDNA identified in our study may provide valuable information in facilitating the development of new diagnostic and therapeutic modalities for NSCLC. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.gpb.2018.06.002 | Genomics, Proteomics & Bioinformatics |
Keywords | Field | DocType |
5-Hydroxymethylcytosine,Lung cancer,Cell-free DNA,Biomarker,5hmC-Seal | Lung cancer,Gene,Biology,Circulating Cell-Free DNA,DNA,Cancer research,Biomarker (medicine),Cell,Bioinformatics,Epigenetics,Diagnostic tools | Journal |
Volume | Issue | ISSN |
16 | 3 | 1672-0229 |
Citations | PageRank | References |
0 | 0.34 | 6 |
Authors | ||
12 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ji Zhang | 1 | 59 | 21.71 |
| Xiao Han | 2 | 816 | 75.26 |
| Xiao Han | 3 | 816 | 75.26 |
| Chunchun Gao | 4 | 0 | 0.68 |
| Yurong Xing | 5 | 0 | 0.34 |
| Zheng Qi | 6 | 0 | 0.34 |
| Ruijuan Liu | 7 | 0 | 0.34 |
| Yueqin Wang | 8 | 0 | 0.34 |
| Yun-Gui Yang | 9 | 6 | 2.43 |
| Xiangnan Li | 10 | 14 | 4.38 |
| Baofa Sun | 11 | 0 | 0.34 |
| Xin Tian | 12 | 0 | 0.68 |