| Title | Metabolic Signature Subtypes of Transcriptomic in Gastric Cancer |
|---|---|
| Description | Recent studies highlighted the clinicopathologic importance of tumor metabolic reprogramming in delineating molecular attributes and therapeutic potentials. However, the overall metabolic features in gastric cancer (GC) have not been comprehensively recognized. Here, consensus NMF clustering algorithm is employed to determine the tumor metabolism patterns in GC. The SDPH in-house dataset with paired transcriptomic and metabolomic identifies three distinct cluster (termed as MSC1, MSC2, MSC3) with substantial differences in metabolic pathways and oncology signaling. |
| Organism | Homo sapiens |
| Data Type | Expression Profiling |
| Data Accessibility | Open-access |
| BioProject | PRJCA017614 |
| Release Date | 2025-07-01 |
| Submitter | Wei Chong (chongwei@sdfmu.edu.cn) |
| Organization | Shandong Provincial Hospital |
| Submission Date | 2023-06-11 |
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 |
|---|---|---|---|---|---|---|
| OMIX004318-01 | Transcriptomic Data of FPKM | 1 | Expression Profiling | 35.2 MB | xls | Unavailable |
| Paper Title | Journal Name | Publish Time | Accession | Citing Type |
|---|---|---|---|---|
| Molecular characterization and clinical relevance of metabolic signature subtypes in gastric cancer | Cell Reports | 2024-07 | OMIX004318 OMIX004317 | Deposit |
| Molecular characterization and clinical relevance of metabolic signature subtypes in gastric cancer | World Congress of Gastroenterology and Digestive Diseases | 2024-12 | OMIX004318 OMIX004317 | Deposit |