Pan-cancer Analysis Reveals SRC May Link Lipid Metabolism and Macrophages

被引:1
作者
Chen, Zhongyuan [1 ,2 ]
Xiao, Yaqian [3 ]
Yang, Pinhong [1 ,2 ]
Wang, Ruisong [1 ,2 ]
机构
[1] Hunan Univ Arts & Sci, Coll Life & Environm Sci, Changde, Hunan, Peoples R China
[2] Changde Res Ctr Artificial Intelligence & Biomed, Changde, Hunan, Peoples R China
[3] Hunan Univ Arts & Sci, Furong Coll, Changde, Hunan, Peoples R China
关键词
Immune cell infiltration; Lipid metabolism; Macrophages; Pan-cancer; SRC; CELLS; ACTIVATION; GENES;
D O I
10.30498/ijb.2023.335402.3325
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Background: SRC is a member of the membrane-associated non-receptor protein tyrosine kinase superfamily. It has been reported to mediate inflammation and cancer. However, the exact molecular mechanism involved is still not clear.Objectives: The current study was designed to explore the prognostic landscape of SRC and further investigate the relationship between SRC and immune infiltration in pan-cancer.Materials and Methods: Kaplan-Meier Plotter was used to detect the prognostic value of SRC in pan-cancer. Then using TIMER2.0 and CIBERSORT, the relationship between SRC and immune infiltration in pan-cancer was evaluated. Furthermore, the LinkedOmics database was used to screen SRC co-expressed genes, followed by functional enrichment of SRC co-expressed genes by Metascape online tool. STRING database and Cytoscape software were applied to construct and visualise the protein-protein interaction network of SRC co-expressed genes. MCODE plug-in was used to screen hub modules in the PPI network. The SRC co-expressed genes in hub modules were extracted, and the correlation analysis between interested SRC co-expressed genes and immune infiltration was conducted via TIMER2.0 and CIBERSORT.Results: Our study demonstrated that SRC expression was significantly associated with overall survival and relapse -free survival in multiple cancer types. In addition, SRC expression was significantly correlated with the immune infiltration of B cells, dendritic cells, CD4+ T cells, macrophages, and neutrophils in pan-cancer. The expression of SRC had shown to have close correlations with M1 macrophage polarisation in LIHC, TGCT, THCA, and THYM. Moreover, the genes that co-expressed with SRC in LIHC, TGCT, THCA, and THYM were mainly enriched in lipid metabolism. Besides, correlation analysis showed that SRC co-expressed genes associated with lipid metabolism were also significantly correlated with the infiltration and polarisation of macrophages.Conclusion: These results indicate that SRC can serve as a prognostic biomarker in pan-cancer and is related to macrophages infiltration and interacts with genes involved in lipid metabolism.
引用
收藏
页码:63 / 74
页数:12
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