Plasma-based lipidomics reveals potential diagnostic biomarkers for esophageal squamous cell carcinoma
| Title | Plasma-based lipidomics reveals potential diagnostic biomarkers for esophageal squamous cell carcinoma |
|---|---|
| Description | Esophageal squamous cell carcinoma (ESCC) is highly prevalent and has a high mortality rate. Traditional diagnostic methods, such as imaging examinations and blood tumor marker tests, are not effective in accurately diagnosing ESCC due to their low sensitivity and specificity. Esophageal endoscopic biopsy, which is considered as the gold standard, is not suitable for screening due to its invasiveness and high cost. Therefore, this study aimed to develop a convenient and low-cost diagnostic method for ESCC using plasma-based lipidomics analysis and machine learning (ML) algorithms. |
| Organism | Homo sapiens |
| Data Type | Lipidome Data by Mass Spectrometry (MS) |
| Data Accessibility | Controlled-access |
| BioProject | PRJCA021252 |
| Release Date | 2023-11-19 |
| Submitter | zhongjian chen (chenzj@zjcc.org.cn) |
| Organization | Zhejiang Cancer Hospital |
| Submission Date | 2023-11-13 |
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| File ID | File Title | Number/Samples | File Type | File Size | File Suffix | Download Times | Download |
|---|---|---|---|---|---|---|---|
| OMIX005237-01 | DDA_MS/MS | 4 | Lipidome Data by Mass Spectrometry (MS) | 127.96 MB | zip | 0 | Controlled |
| OMIX005237-02 | FullScan_Positive | 92 | Lipidome Data by Mass Spectrometry (MS) | 6.23 GB | zip | 0 | Controlled |
| OMIX005237-03 | FullScan_negative | 87 | Lipidome Data by Mass Spectrometry (MS) | 4.95 GB | zip | 0 | Controlled |