Epigenetic study of lung cancer
| Title | Epigenetic study of lung cancer |
|---|---|
| Description | Lung cancer is characterized by high mortality and encompasses various subtypes. Treatment options and outcomes vary considerably across these subtypes. In the present study, subtype-specific CpG sites in lung cancer were identified, and a novel methylation vector-based algorithm was proposed to assess the methylation status across continuous CpG regions. By employing this approach, subtype-specific methylation vector clusters (SMVCs) were detected across various tissues, which were further validated using data from diverse sources. The aberrant methylation signals observed in each lung cancer subtype appear to be influenced by the cell of origin and the immune environment within the blood. Evidence is provided that small cell lung cancer (SCLC) exhibits abnormal methylation intervals within neural cells and pancreatic islet cells, with NeuroD1 binding specifically to these regions. Furthermore, neurological disease drugs that interact with NeuroD1 are proposed as potential therapeutic candidates for SCLC. |
| Organism | Homo sapiens |
| Data Type | Methylation Profiling by NGS |
| Data Accessibility | Controlled-access |
| BioProject | PRJCA030468 |
| Release Date | 2024-09-25 |
| Submitter | Deqiang Sun (sund@gzhmu.edu.cn) |
| Organization | The Second Affiliated Hospital, Zhejiang University School of Medicine |
| Submission Date | 2024-09-24 |
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 Times | Download |
|---|---|---|---|---|---|---|---|
| OMIX007479-01 | SCLC | 16 | Methylation Profiling by NGS | 5.95 GB | zip | 0 | Unavailable |
| OMIX007479-02 | LUSC | 16 | Methylation Profiling by NGS | 6.07 GB | zip | 0 | Unavailable |
| OMIX007479-03 | LCC | 7 | Methylation Profiling by NGS | 2.64 GB | zip | 0 | Unavailable |