Cancer cachexia is a devastating, multifactorial, and irreversible syndrome characterized by skeletal muscle reduction with or without fat loss. Although much attention has been focused on muscle wasting, fat loss may occur earlier and accelerate muscle wasting in cachexia. The cause of 20% of cancer related death makes it urgent to discover molecular mechanisms behind cancer cachexia. Here we applied weighted gene co-expression network analysis (WGCNA) to identify cachexia related gene modules using differentially expressed 3289 genes and 59 long non-coding RNAs based on microarray data of cachectic and non-cachectic subcutaneous adipose tissue. Subsequently, 16 independent modules were acquired and GSAASeqSP Toolset confirmed that black module was significantly associated with fat loss in cancer cachexia. Top 50 hub-genes in black module contained only one lncRNA, VLDLR antisense RNA 1 (VLDLR-AS1). We then explored the function of black module from the view of VLDLR-AS1-connected genes in the network. GO enrichment and KEGG pathways analysis revealed LDLR-AS1-connected genes were involved in Wnt signaling pathway, small GTPase mediated signal transduction, epithelial-mesenchymal transition and so on. Through construction of competing endogenous RNAs (ceRNAs) regulation network, we showed that VLDLR-AS1 may function with hsa-miR-600 to regulate gene GOLGA3, DUSP14, and UCHL1, or interact with hsa-miR-1224-3p to modulate the expression of gene GOLGA3, ZNF219, RNF141, and CALU. After literature validation, we predicted that VLDLR-AS1 most likely interacted with miR-600 to regulate UCH-L1 through Wnt/β-catenin signaling pathway. However, further experiments are still required to validate mechanisms of VLDLR-AS1 in fat reduction of cancer cachexia.
Keywords: VLDLR-AS1; WGCNA; cancer cachexia; lncRNA; modules.
© 2017 Wiley Periodicals, Inc.