Identification of metabolism-associated molecular classification for effect and prognosis in lung adenocarcinoma based on multidatabases including the cancer genome atlas and gene expression omnibus
Background: Lung adenocarcinoma is a highly heterogeneous group of diseases with distinct molecular genetic features, pathological characteristics, metabolic profiles, and clinical behaviors. However, the clinical relevance of metabolic characteristics of lung adenocarcinoma remains unclear. This st...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2025-06-01
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| Series: | SAGE Open Medicine |
| Online Access: | https://doi.org/10.1177/20503121251341114 |
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