| Title |
Metabolic Signature Subtypes of Metabolomics 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 |
Metabolome Data by Mass Spectrometry (MS) |
| 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 |