| Title | epigenetic and fragmentomic profiling of plasma cfDNA in lung cancer and healthy individuals |
|---|---|
| Description | A multicenter cohort study was conducted with participants having suspicious malignant lung nodules and healthy volunteers. Plasma cfDNA was analyzed using cfChIP-seq, cfRRBS, and lpWGS. Machine learning integrated the data to develop a precise lung cancer detection model. |
| Organism | Homo sapiens |
| Data Type | Genetic Biomarkers |
| Data Accessibility | Controlled-access |
| BioProject | PRJCA033843 |
| Release Date | 2025-03-07 |
| Submitter | Naixin Liang (pumchnelson@163.com) |
| Organization | Peking Union Medical College Hospital |
| Submission Date | 2024-12-20 |
The data cannot be downloaded as it has not yet been registered in the Human Genetic Resource Management Platform of MOST.
| File ID | File Title | Number/Samples | File Type | File Size | File Suffix | Download |
|---|---|---|---|---|---|---|
| OMIX008353-01 | epigenetic and fragmentomic profiling of plasma cfDNA in lung cancer and healthy individuals | 376 | Genetic Biomarkers | 106.93 MB | zip | Unavailable |
| Paper Title | Journal Name | Publish Time | Accession | Citing Type |
|---|---|---|---|---|
| Cell‐free epigenomes enhanced fragmentomics‐based model for early detection of lung cancer | Clinical and Translational Medicine | 2025-02 | OMIX008353 | Deposit |