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The disturbance of lipid metabolism by the TNF-α /PLEKHA5/FCRLA axis leads to the proliferation, invasion and metastasis of cutaneous malignant melanoma

ABSTRACT: Background: Cutaneous malignant melanoma (CMM) is one of the most highly fatal cancers; its pathogenesis requires study. We recognize that abnormalities in lipid metabolism may be associated with the risk of CMM development; nevertheless, the role of lipid metabolism in the proliferation, invasion, and metastasis of CMM remains unclear. Methods: Lipid metabolism-related genes were identified in MsigDB. A lipid metabolism-related predictive model was constructed in TCGA-SKCM using univariate Cox regression analysis, consensus cluster analysis, WGCNA analysis, LASSO regression analysis, and outcomes-related genes were identified. Immunohistochemistry, qPCR, and western blotting were used to identify essential genes, construct stable lentivirus strains, and study the biological role of PLEKHA5 in CMM cells. Transcriptomic and proteomic sequencing, protein-protein molecular docking, CO-IP, and GST pull-down were performed on the cells with knockout essential genes to explore this gene’s upstream and downstream regulatory mechanisms. After analyzing the results of lipid metabolomics sequencing, the effects of the essential lipids related to CMM cells after the gene knockdown were studied. Results: A predictive model was established, Risk Score = -0.009 * UBE2L6 + 0.033 * PLEKHA5 + 0.024 * LHB + 0.036 * CARM1 + 0.016 * PRXL2B + 0.131 * PLA2G4D. PLEKHA5 was identified as an essential gene, and PLEKHA5 was positively correlated with poor outcomes in CMM patients. PLEKHA5 is more highly expressed than melanocytes in CMM, which promotes the proliferation, invasion, and metastasis of CMM. FCRLA is the downstream gene of PLEKHA5, upregulated in CMM, and the primary enrichment pathway is the TNFα-NFκB signaling pathway. TNFα is also an essential cytokine that promotes CMM proliferation and metastasis. Hex1Cer(d18:1/26:2) and Cer(d18:2/26:2) in the downstream were significantly decreased, while ChE(0:0), ChE(18:0) and TG(18:0/16:0/19:0) in the downstream were significantly increased. The cholesterol ester inhibitor avasimibe inhibits CMM proliferation, metastasis, and invasion. Conclusion: The predictive model of CMM related to lipid metabolism established in this study has good predictive ability. PLEKHA5 is an essential biomarker related to lipid metabolism in CMM. TNFα-PLEKHA5-FCRLA is a signal axis that promotes proliferation, metastasis, and invasion of CMM. Its downstream product, the cholesterol ester inhibitor avasimibe, may treat CMM.

ORGANISM(S): Homo Sapiens

SUBMITTER: Kexin Yan

PROVIDER: PXD054835 | iProX | Mon Aug 12 00:00:00 BST 2024

REPOSITORIES: iProX

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Project description:Background: JAG-1 is a ligand of Notch signaling and can regulate cell differentiation and proliferation in cancers. Recent studies indicated that JAG1 is a gene associated with cancer progression. Therefore, we investigated the role of JAG1 in lung cancer progression. Methods: The expression of JAG1 was manipulated by overexpression or RNA silencing in several human lung cell lines. The effect of JAG1 on tumorigenesis and invasion was assessed by the cell anchorage-independent growth, cell proliferation, cell migration and invasion assays in vitro as well as metastasis in vivo. The potential downstream genes of JAG1 were identified by oligonucleotide microarrays and quantitative reverse transcriptionÂ¡Vpolymerase chain reaction (RT-PCR). We further measured JAG1 expression in lung cancer specimens by RT-PCR. Correlation between JAG1 expression and overall survival of lung cancer patients was determined by using the log-rank test and multivariable Cox proportional hazards regression analysis. All statistical tests were two-sided. Results: JAG1 enhanced anchorage-independent growth, cell migration, invasion in the lower invasive cells, CL1-0. JAG1 also increased the capability of migration and invasion in the other two lung cancer cell lines (A549 and NCI-H226). The silencing of JAG1 inhibited migration and invasion activities of the higher invasive cells, CL1-5, by siRNA technology. The invasion-promoting activity of JAG1 was also demonstrated in vivo by using a mouse metastasis model. By microarray analysis, we found that the expression of heat shock 70kDa protein 2 (HSPA2) was activated by JAG1 overexpression and eliminated by JAG1 silencing. Moreover, lung cancer patients with high JAG1 expressing tumors had shorter overall survival than those with low-expressing tumors. Conclusion: JAG1 might be an oncogene which promotes colonogenesis and metastasis, and high JAG1 expression is associated with shorten survival in lung cancer. In this investigation, we used a lung cancer invasion cell model to identify the genes involved in cancer progression. JAG1 is a potential oncogene whose expression is correlated to the survival of patients with breast, prostate and liver cancers. However, the role of JAG1 in lung caner progression has not been reported, particularly in metastasis. Here, JAG1 was ectopically expressed in lower invasive lung cancer cell line its impact on colonogenesis, migration and invasiveness was assessed. The underlying mechanism was explored by JAG1-expressed transfectants and microarrays and the clinical relevance was evaluated by quantitative RT-PCR.

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The disturbance of lipid metabolism by the TNF-α /PLEKHA5/FCRLA axis leads to the proliferation, invasion and metastasis of cutaneous malignant melanoma

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