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Machine learning to establish three sphingolipid metabolism genes signature to characterize the immune landscape and prognosis of patients with gastric cancer

28 Mar 2024

Abstract excerpt

BACKGROUND: Gastric cancer (GC) is one of the most common malignant tumors worldwide. Nevertheless, GC still lacks effective diagnosed and monitoring method and treating targets. This study used multi omics data to explore novel biomarkers and immune therapy targets around sphingolipids metabolism genes (SMGs). METHOD: LASSO regression analysis was performed to filter prognostic and differently expression SMGs...

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PMID: 38549047
DOI: 10.1186/s12864-024-10243-z

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